[an error occurred while processing this directive]<meta name="keywords" content="Department of Computer Science, publications, by type, Thomas Lukasiewicz"></meta><meta name="description" content="Publications, by type, Department of Computer Science, Oxford, Thomas Lukasiewicz"></meta><title>Department of Computer Science, University of Oxford: Thomas Lukasiewicz : Publications
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			</style>[an error occurred while processing this directive]<div class="content-width"><ol class="breadcrumb text-uppercase"><li><a href="/">Home</a></li><li><a href="/aboutus/">About Us</a></li><li><a href="/people/">People</a></li><li><a href="/people/faculty.html">Faculty</a></li><li><a href="/people/Thomas.Lukasiewicz"><span itemprop="name">Thomas Lukasiewicz</span></a></li><li class="active">Publications</li></ol></div><!-- MOBILE NAVIGATION --><div class="content-width space-below mobile-menu-placeholder visible-xs visible-sm"></div><!-- COLUMNS --><div class="container-fluid content-width"><div class="row"><div class="col-xs-12 col-md-9 col-md-push-3" id="maincontent"><!-- CONTENT (Column 2) --><div class="page-title"><h1>Thomas Lukasiewicz : Publications
</h1></div><div role="toolbar" class="btn-toolbar"><div class="btn-group"><a href="/people/publications/date/Thomas.Lukasiewicz.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By date</a><a href="/people/publications/title/Thomas.Lukasiewicz.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By title</a><a href="/people/publications/type/Thomas.Lukasiewicz.html" aria-hidden="true" type="button" class="btn btn-oxford-blue"><span class="glyphicon glyphicon-sort-by-attributes"></span> By type</a><a href="/people/publications/bibtex/Thomas.Lukasiewicz.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-file"></span> BibTex</a></div></div><p></p><h2>
      Books
      </h2><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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	<p class="publicationTitle"> <strong>
            Proceedings of the 2nd Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; co&#x2212;located with the 9th International Joint Conference on Automated Reasoning&#x201a; PRUV@IJCAR 2018&#x201a; Oxford&#x201a; UK&#x201a; July 19&#x201a; 2018 </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Rafael Pe&#xf1;aloza and Anni&#x2212;Yasmin Turhan  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 2157
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        July,
            2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12147-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 2nd Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; co&#x2212;located with the 9th International Joint Conference on Automated Reasoning&#x201a; PRUV@IJCAR 2018&#x201a; Oxford&#x201a; UK&#x201a; July 19&#x201a; 2018  </em></span> </a> |
			<a href="/publications/publication12147.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 2nd Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; co&#x2212;located with the 9th International Joint Conference on Automated Reasoning&#x201a; PRUV@IJCAR 2018&#x201a; Oxford&#x201a; UK&#x201a; July 19&#x201a; 2018  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-2157/"> Link <span class="sr-only" > to <em> Proceedings of the 2nd Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; co&#x2212;located with the 9th International Joint Conference on Automated Reasoning&#x201a; PRUV@IJCAR 2018&#x201a; Oxford&#x201a; UK&#x201a; July 19&#x201a; 2018  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2015&#x201a; Bethlehem&#x201a; USA&#x201a; October 12&#x201a; 2015 </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Rommel N. Carvalho&#x201a; Davide Ceolin&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor P. Martin&#x201a; Matthias Nickles and Michael Pool, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 1479
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2015.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication10215-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2015&#x201a; Bethlehem&#x201a; USA&#x201a; October 12&#x201a; 2015  </em></span> </a> |
			<a href="/publications/publication10215.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2015&#x201a; Bethlehem&#x201a; USA&#x201a; October 12&#x201a; 2015  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-1479"> Link <span class="sr-only" > to <em> Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2015&#x201a; Bethlehem&#x201a; USA&#x201a; October 12&#x201a; 2015  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2014&#x201a; Riva del Garda&#x201a; Italy&#x201a; October 19&#x2212;20&#x201a; 2014 </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Rommel N. Carvalho&#x201a; Davide Ceolin&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles&#x201a; Michael Pool&#x201a; Tom De Nies&#x201a; Olaf Hartig&#x201a; Paul Groth and Stephen Marsh, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 1259
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8907-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2014&#x201a; Riva del Garda&#x201a; Italy&#x201a; October 19&#x2212;20&#x201a; 2014  </em></span> </a> |
			<a href="/publications/publication8907.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2014&#x201a; Riva del Garda&#x201a; Italy&#x201a; October 19&#x2212;20&#x201a; 2014  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-1259/"> Link <span class="sr-only" > to <em> Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2014&#x201a; Riva del Garda&#x201a; Italy&#x201a; October 19&#x2212;20&#x201a; 2014  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Proceedings of the 1st Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; PRUV 2014&#x201a; Vienna&#x201a; Austria&#x201a; July 23&#x2212;24&#x201a; 2014 </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Rafael Pe&#xf1;aloza and Anni&#x2212;Yasmin Turhan, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 1205
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8904-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 1st Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; PRUV 2014&#x201a; Vienna&#x201a; Austria&#x201a; July 23&#x2212;24&#x201a; 2014  </em></span> </a> |
			<a href="/publications/publication8904.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 1st Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; PRUV 2014&#x201a; Vienna&#x201a; Austria&#x201a; July 23&#x2212;24&#x201a; 2014  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-1205/"> Link <span class="sr-only" > to <em> Proceedings of the 1st Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; PRUV 2014&#x201a; Vienna&#x201a; Austria&#x201a; July 23&#x2212;24&#x201a; 2014  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Uncertainty Reasoning for the Semantic Web III&#x201a; International Workshops URSW 2011&#x2212;2013&#x201a; Held at ISWC&#x201a; Revised Selected Papers </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Rommel Carvalho&#x201a; Paulo C. G. Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Matthias Nickles and Michael Pool, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 8816
                of Lecture Notes in Computer Science.
        Springer.
        2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8903-abstract.html">
			Details <span class="sr-only" > about <em> Uncertainty Reasoning for the Semantic Web III&#x201a; International Workshops URSW 2011&#x2212;2013&#x201a; Held at ISWC&#x201a; Revised Selected Papers  </em></span> </a> |
			<a href="/publications/publication8903.bib">
			BibTeX  <span class="sr-only" > data for <em> Uncertainty Reasoning for the Semantic Web III&#x201a; International Workshops URSW 2011&#x2212;2013&#x201a; Held at ISWC&#x201a; Revised Selected Papers  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-319-13413-0"> Link <span class="sr-only" > to <em> Uncertainty Reasoning for the Semantic Web III&#x201a; International Workshops URSW 2011&#x2212;2013&#x201a; Held at ISWC&#x201a; Revised Selected Papers  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2013&#x201a; Sydney&#x201a; Australia&#x201a; October 21&#x201a; 2013 </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Rommel N. Carvalho&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles and Michael Pool, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 1073
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication7944-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2013&#x201a; Sydney&#x201a; Australia&#x201a; October 21&#x201a; 2013  </em></span> </a> |
			<a href="/publications/publication7944.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2013&#x201a; Sydney&#x201a; Australia&#x201a; October 21&#x201a; 2013  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-1073"> Link <span class="sr-only" > to <em> Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2013&#x201a; Sydney&#x201a; Australia&#x201a; October 21&#x201a; 2013  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Uncertainty Reasoning for the Semantic Web II&#x201a; International Workshops URSW 2008&#x2212;2010&#x201a; Held at ISWC&#x201a; and UniDL 2010&#x201a; Held at FLoC&#x201a; Revised Selected Papers </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Matthias Nickles and Michael Pool, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 7123
                of Lecture Notes in Computer Science.
        Springer.
        2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6580-abstract.html">
			Details <span class="sr-only" > about <em> Uncertainty Reasoning for the Semantic Web II&#x201a; International Workshops URSW 2008&#x2212;2010&#x201a; Held at ISWC&#x201a; and UniDL 2010&#x201a; Held at FLoC&#x201a; Revised Selected Papers  </em></span> </a> |
			<a href="/publications/publication6580.bib">
			BibTeX  <span class="sr-only" > data for <em> Uncertainty Reasoning for the Semantic Web II&#x201a; International Workshops URSW 2008&#x2212;2010&#x201a; Held at ISWC&#x201a; and UniDL 2010&#x201a; Held at FLoC&#x201a; Revised Selected Papers  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-642-35975-0"> Link <span class="sr-only" > to <em> Uncertainty Reasoning for the Semantic Web II&#x201a; International Workshops URSW 2008&#x2212;2010&#x201a; Held at ISWC&#x201a; and UniDL 2010&#x201a; Held at FLoC&#x201a; Revised Selected Papers  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data&#x201a; SeRSy 2012&#x201a; Boston&#x201a; USA&#x201a; November 11&#x201a; 2012 </strong> </p>
	    <p class="publicationAuthors"> <em> Marco de Gemmis&#x201a; Tommaso Di Noia&#x201a; Pasquale Lops&#x201a; Thomas Lukasiewicz and Giovanni Semeraro, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 919
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2012.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6602-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data&#x201a; SeRSy 2012&#x201a; Boston&#x201a; USA&#x201a; November 11&#x201a; 2012  </em></span> </a> |
			<a href="/publications/publication6602.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data&#x201a; SeRSy 2012&#x201a; Boston&#x201a; USA&#x201a; November 11&#x201a; 2012  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-919/"> Link <span class="sr-only" > to <em> Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data&#x201a; SeRSy 2012&#x201a; Boston&#x201a; USA&#x201a; November 11&#x201a; 2012  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2012&#x201a; Boston&#x201a; USA&#x201a; November 11&#x201a; 2012 </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Rommel N. Carvalho&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles and Michael Pool, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 900
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2012.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6601-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2012&#x201a; Boston&#x201a; USA&#x201a; November 11&#x201a; 2012  </em></span> </a> |
			<a href="/publications/publication6601.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2012&#x201a; Boston&#x201a; USA&#x201a; November 11&#x201a; 2012  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-900/"> Link <span class="sr-only" > to <em> Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2012&#x201a; Boston&#x201a; USA&#x201a; November 11&#x201a; 2012  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Proceedings of the 7th International Symposium on the Foundations of Information and Knowledge Systems&#x201a; FoIKS 2012&#x201a; Kiel&#x201a; Germany&#x201a; March 5&#x2212;9&#x201a; 2012 </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Attila Sali, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 7153
                of Lecture Notes in Computer Science.
        Springer.
        2012.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6600-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 7th International Symposium on the Foundations of Information and Knowledge Systems&#x201a; FoIKS 2012&#x201a; Kiel&#x201a; Germany&#x201a; March 5&#x2212;9&#x201a; 2012  </em></span> </a> |
			<a href="/publications/publication6600.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 7th International Symposium on the Foundations of Information and Knowledge Systems&#x201a; FoIKS 2012&#x201a; Kiel&#x201a; Germany&#x201a; March 5&#x2212;9&#x201a; 2012  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-642-28472-4"> Link <span class="sr-only" > to <em> Proceedings of the 7th International Symposium on the Foundations of Information and Knowledge Systems&#x201a; FoIKS 2012&#x201a; Kiel&#x201a; Germany&#x201a; March 5&#x2212;9&#x201a; 2012  </em></span> </a>
  				
		
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	<p class="publicationTitle"> <strong>
            Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation&#x201a; SPIM 2011&#x201a; Bonn&#x201a; Germany&#x201a; October 24&#x201a; 2011 </strong> </p>
	    <p class="publicationAuthors"> <em> Marco de Gemmis&#x201a; Ernesto William De Luca&#x201a; Tommaso Di Noia&#x201a; Aldo Gangemi&#x201a; Michael Hausenblas&#x201a; Pasquale Lops&#x201a; Thomas Lukasiewicz&#x201a; Till Plumbaum and Giovanni Semeraro, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 781
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2011.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6604-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation&#x201a; SPIM 2011&#x201a; Bonn&#x201a; Germany&#x201a; October 24&#x201a; 2011  </em></span> </a> |
			<a href="/publications/publication6604.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation&#x201a; SPIM 2011&#x201a; Bonn&#x201a; Germany&#x201a; October 24&#x201a; 2011  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-781/"> Link <span class="sr-only" > to <em> Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation&#x201a; SPIM 2011&#x201a; Bonn&#x201a; Germany&#x201a; October 24&#x201a; 2011  </em></span> </a>
  				
		
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	</div> 
	
        </li><li>
	
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				[12] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2011&#x201a; Bonn&#x201a; Germany&#x201a; October 23&#x201a; 2011 </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Rommel N. Carvalho&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin and Matthias Nickles, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 778
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2011.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6603-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2011&#x201a; Bonn&#x201a; Germany&#x201a; October 23&#x201a; 2011  </em></span> </a> |
			<a href="/publications/publication6603.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2011&#x201a; Bonn&#x201a; Germany&#x201a; October 23&#x201a; 2011  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-778/"> Link <span class="sr-only" > to <em> Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2011&#x201a; Bonn&#x201a; Germany&#x201a; October 23&#x201a; 2011  </em></span> </a>
  				
		
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				[13] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2010&#x201a; Shanghai&#x201a; China&#x201a; November 7&#x201a; 2010 </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Rommel N. Carvalho&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles and Michael Pool, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 654
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2010.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6607-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2010&#x201a; Shanghai&#x201a; China&#x201a; November 7&#x201a; 2010  </em></span> </a> |
			<a href="/publications/publication6607.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2010&#x201a; Shanghai&#x201a; China&#x201a; November 7&#x201a; 2010  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-654/"> Link <span class="sr-only" > to <em> Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2010&#x201a; Shanghai&#x201a; China&#x201a; November 7&#x201a; 2010  </em></span> </a>
  				
		
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				[14] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Proceedings of the 4th International Conference on Web Reasoning and Rule Systems&#x201a; RR 2010&#x201a; Bressanone/Brixen&#x201a; Italy&#x201a; September 22&#x2212;24&#x201a; 2010 </strong> </p>
	    <p class="publicationAuthors"> <em> Pascal Hitzler and Thomas Lukasiewicz, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 6333
                of Lecture Notes in Computer Science.
        Springer.
        2010.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6606-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 4th International Conference on Web Reasoning and Rule Systems&#x201a; RR 2010&#x201a; Bressanone/Brixen&#x201a; Italy&#x201a; September 22&#x2212;24&#x201a; 2010  </em></span> </a> |
			<a href="/publications/publication6606.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 4th International Conference on Web Reasoning and Rule Systems&#x201a; RR 2010&#x201a; Bressanone/Brixen&#x201a; Italy&#x201a; September 22&#x2212;24&#x201a; 2010  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-642-15918-3"> Link <span class="sr-only" > to <em> Proceedings of the 4th International Conference on Web Reasoning and Rule Systems&#x201a; RR 2010&#x201a; Bressanone/Brixen&#x201a; Italy&#x201a; September 22&#x2212;24&#x201a; 2010  </em></span> </a>
  				
		
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				[15] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Proceedings of the 1st International Workshop on Uncertainty in Description Logics&#x201a; UniDL 2010&#x201a; Edinburgh&#x201a; UK&#x201a; July 20&#x201a; 2010 </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Rafael Pe&#xf1;aloza and Anni&#x2212;Yasmin Turhan, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 613
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2010.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6605-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 1st International Workshop on Uncertainty in Description Logics&#x201a; UniDL 2010&#x201a; Edinburgh&#x201a; UK&#x201a; July 20&#x201a; 2010  </em></span> </a> |
			<a href="/publications/publication6605.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 1st International Workshop on Uncertainty in Description Logics&#x201a; UniDL 2010&#x201a; Edinburgh&#x201a; UK&#x201a; July 20&#x201a; 2010  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-613/"> Link <span class="sr-only" > to <em> Proceedings of the 1st International Workshop on Uncertainty in Description Logics&#x201a; UniDL 2010&#x201a; Edinburgh&#x201a; UK&#x201a; July 20&#x201a; 2010  </em></span> </a>
  				
		
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				[16] 
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		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2009&#x201a; Washington DC&#x201a; USA&#x201a; October 26&#x201a; 2009 </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles&#x201a; Michael Pool and Pavel Smrz, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 527
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6608-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2009&#x201a; Washington DC&#x201a; USA&#x201a; October 26&#x201a; 2009  </em></span> </a> |
			<a href="/publications/publication6608.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2009&#x201a; Washington DC&#x201a; USA&#x201a; October 26&#x201a; 2009  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-527/"> Link <span class="sr-only" > to <em> Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2009&#x201a; Washington DC&#x201a; USA&#x201a; October 26&#x201a; 2009  </em></span> </a>
  				
		
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	</div> 
	
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				[17] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Proceedings of the 2nd International Conference on Scalable Uncertainty Management&#x201a; SUM 2008&#x201a; Naples&#x201a; Italy&#x201a; October 1&#x2212;3&#x201a; 2008 </strong> </p>
	    <p class="publicationAuthors"> <em> Sergio Greco and Thomas Lukasiewicz, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 5291
                of Lecture Notes in Computer Science.
        Springer.
        2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6612-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 2nd International Conference on Scalable Uncertainty Management&#x201a; SUM 2008&#x201a; Naples&#x201a; Italy&#x201a; October 1&#x2212;3&#x201a; 2008  </em></span> </a> |
			<a href="/publications/publication6612.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 2nd International Conference on Scalable Uncertainty Management&#x201a; SUM 2008&#x201a; Naples&#x201a; Italy&#x201a; October 1&#x2212;3&#x201a; 2008  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-540-87993-0"> Link <span class="sr-only" > to <em> Proceedings of the 2nd International Conference on Scalable Uncertainty Management&#x201a; SUM 2008&#x201a; Naples&#x201a; Italy&#x201a; October 1&#x2212;3&#x201a; 2008  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[18] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Uncertainty Reasoning for the Semantic Web I&#x201a; ISWC International Workshops&#x201a; URSW 2005&#x2212;2007&#x201a; Revised Selected and Invited Papers </strong> </p>
	    <p class="publicationAuthors"> <em> Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Matthias Nickles and Michael Pool, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 5327
                of Lecture Notes in Computer Science.
        Springer.
        2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6611-abstract.html">
			Details <span class="sr-only" > about <em> Uncertainty Reasoning for the Semantic Web I&#x201a; ISWC International Workshops&#x201a; URSW 2005&#x2212;2007&#x201a; Revised Selected and Invited Papers  </em></span> </a> |
			<a href="/publications/publication6611.bib">
			BibTeX  <span class="sr-only" > data for <em> Uncertainty Reasoning for the Semantic Web I&#x201a; ISWC International Workshops&#x201a; URSW 2005&#x2212;2007&#x201a; Revised Selected and Invited Papers  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-540-89765-1"> Link <span class="sr-only" > to <em> Uncertainty Reasoning for the Semantic Web I&#x201a; ISWC International Workshops&#x201a; URSW 2005&#x2212;2007&#x201a; Revised Selected and Invited Papers  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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				[19] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2008&#x201a; Karlsruhe&#x201a; Germany&#x201a; October 26&#x201a; 2008 </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor P. Martin&#x201a; Matthias Nickles&#x201a; Michael Pool and Pavel Smrz, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 423
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6610-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2008&#x201a; Karlsruhe&#x201a; Germany&#x201a; October 26&#x201a; 2008  </em></span> </a> |
			<a href="/publications/publication6610.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2008&#x201a; Karlsruhe&#x201a; Germany&#x201a; October 26&#x201a; 2008  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-423/"> Link <span class="sr-only" > to <em> Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2008&#x201a; Karlsruhe&#x201a; Germany&#x201a; October 26&#x201a; 2008  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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				[20] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2007&#x201a; Busan&#x201a; Korea&#x201a; November 12&#x201a; 2007 </strong> </p>
	    <p class="publicationAuthors"> <em> Fernando Bobillo&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Francis Fung&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles&#x201a; Yun Peng&#x201a; Michael Pool&#x201a; Pavel Smrz and Peter Vojt&#xe1;s, editors  </em> </p>
	
	<p class="publicationDetails"> 
            Vol. 327
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6609-abstract.html">
			Details <span class="sr-only" > about <em> Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2007&#x201a; Busan&#x201a; Korea&#x201a; November 12&#x201a; 2007  </em></span> </a> |
			<a href="/publications/publication6609.bib">
			BibTeX  <span class="sr-only" > data for <em> Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2007&#x201a; Busan&#x201a; Korea&#x201a; November 12&#x201a; 2007  </em></span>   </a>
			
			
					| <a href="http://ceur-ws.org/Vol-327/"> Link <span class="sr-only" > to <em> Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2007&#x201a; Busan&#x201a; Korea&#x201a; November 12&#x201a; 2007  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li></ul><h2>
      Book chapters
      </h2><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[1] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Claudia d'Amato and Martin Theobald, editors,
             
            <em>
            Reasoning Web. Learning&#x201a; Uncertainty&#x201a; Streaming&#x201a; and Scalability &#x2014; 14th International Summer School 2018&#x201a; Esch&#x2212;sur&#x2212;Alzette&#x201a; Luxembourg&#x201a; September 22&#x2212;26&#x201a; 2018&#x201a; Tutorial Lectures</em>.
        
            Vol. 11078
                of Lecture Notes in Computer Science.
        
                Pages 35&#x2013;77.
            Springer.
        August,
            2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12139-abstract.html">
			Details <span class="sr-only" > about <em> A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases  </em></span> </a> |
			<a href="/publications/publication12139.bib">
			BibTeX  <span class="sr-only" > data for <em> A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases  </em></span>   </a>
			
			
					| <a href="https://doi.org/10.1007/978-3-030-00338-8_3"> Link <span class="sr-only" > to <em> A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[2] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Ranking Answers to Datalog+&#x2044;&#x2212; Ontologies based on Trust and Reliability of Subjective Reports </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Cristian Molinaro&#x201a; Livia Predoiu and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Christoph Beierle&#x201a; Gerhard Brewka and Matthias Thimm:, editors,
             
            <em>
            Computational Models of Rationality: Essays Dedicated to Gabriele Kern&#x2212;Isberner on the Occasion of Her 60th Birthday</em>.
        
            Vol. 29
                of Tributes.
        
                Pages 175&#x2212;192.
            College Publications.
        January,
            2016.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication10367-abstract.html">
			Details <span class="sr-only" > about <em> Ranking Answers to Datalog+&#x2044;&#x2212; Ontologies based on Trust and Reliability of Subjective Reports  </em></span> </a> |
			<a href="/publications/publication10367.bib">
			BibTeX  <span class="sr-only" > data for <em> Ranking Answers to Datalog+&#x2044;&#x2212; Ontologies based on Trust and Reliability of Subjective Reports  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[3] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Livia Predoiu and Gerardo Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Rommel Carvalho&#x201a; Paulo C. G. Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Matthias Nickles and Michael Pool, editors,
             
            <em>
            Uncertainty Reasoning for the Semantic Web III&#x201a; International Workshops URSW 2011&#x2212;2013&#x201a; Held at ISWC&#x201a; Revised Selected Papers</em>.
        
            Vol. 8816
                of Lecture Notes in Computer Science.
        
                Pages 41&#x2212;62.
            Springer.
        2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8910-abstract.html">
			Details <span class="sr-only" > about <em> Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+&#x2044;&#x2212;  </em></span> </a> |
			<a href="/publications/publication8910.bib">
			BibTeX  <span class="sr-only" > data for <em> Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+&#x2044;&#x2212;  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-319-13413-0_3"> Link <span class="sr-only" > to <em> Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+&#x2044;&#x2212;  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[4] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Ontological CP&#x2212;Nets </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia&#x201a; Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Rommel Carvalho&#x201a; Paulo C. G. Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Matthias Nickles and Michael Pool, editors,
             
            <em>
            Uncertainty Reasoning for the Semantic Web III&#x201a; International Workshops URSW 2011&#x2212;2013&#x201a; Held at ISWC&#x201a; Revised Selected Papers</em>.
        
            Vol. 8816
                of Lecture Notes in Computer Science.
        
                Pages 289&#x2212;308.
            Springer.
        2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8902-abstract.html">
			Details <span class="sr-only" > about <em> Ontological CP&#x2212;Nets  </em></span> </a> |
			<a href="/publications/publication8902.bib">
			BibTeX  <span class="sr-only" > data for <em> Ontological CP&#x2212;Nets  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-319-13413-0_15"> Link <span class="sr-only" > to <em> Ontological CP&#x2212;Nets  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[5] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Tractable Probabilistic Description Logic Programs </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Z. Ma and L. Yan, editors,
             
            <em>
            Advances in Probabilistic Databases for Uncertain Information Management</em>.
        
            Vol. 304
                of Studies in Fuzziness and Soft Computing.
        
                Pages 131&#x2212;159.
            Springer.
        2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6585-abstract.html">
			Details <span class="sr-only" > about <em> Tractable Probabilistic Description Logic Programs  </em></span> </a> |
			<a href="/publications/publication6585.bib">
			BibTeX  <span class="sr-only" > data for <em> Tractable Probabilistic Description Logic Programs  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-642-37509-5_6"> Link <span class="sr-only" > to <em> Tractable Probabilistic Description Logic Programs  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[6] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations </strong> </p>
	    <p class="publicationAuthors"> <em> Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Floriana Esposito and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Matthias Nickles and Michael Pool, editors,
             
            <em>
            Uncertainty Reasoning for the Semantic Web II&#x201a; International Workshops URSW 2008&#x2212;2010&#x201a; Held at ISWC&#x201a; and UniDL 2010&#x201a; Held at FLoC&#x201a; Revised Selected Papers</em>.
        
            Vol. 7123
                of Lecture Notes in Computer Science.
        
                Pages 300&#x2212;314.
            Springer.
        2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6579-abstract.html">
			Details <span class="sr-only" > about <em> Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations  </em></span> </a> |
			<a href="/publications/publication6579.bib">
			BibTeX  <span class="sr-only" > data for <em> Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-642-35975-0_16"> Link <span class="sr-only" > to <em> Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[7] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Semantic Web Search and Inductive Reasoning </strong> </p>
	    <p class="publicationAuthors"> <em> Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Bettina Fazzinga&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Matthias Nickles and Michael Pool, editors,
             
            <em>
            Uncertainty Reasoning for the Semantic Web II&#x201a; International Workshops URSW 2008&#x2212;2010&#x201a; Held at ISWC&#x201a; and UniDL 2010&#x201a; Held at FLoC&#x201a; Revised Selected Papers</em>.
        
            Vol. 7123
                of Lecture Notes in Computer Science.
        
                Pages 237&#x2212;261.
            Springer.
        2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6578-abstract.html">
			Details <span class="sr-only" > about <em> Semantic Web Search and Inductive Reasoning  </em></span> </a> |
			<a href="/publications/publication6578.bib">
			BibTeX  <span class="sr-only" > data for <em> Semantic Web Search and Inductive Reasoning  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-642-35975-0_13"> Link <span class="sr-only" > to <em> Semantic Web Search and Inductive Reasoning  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[8] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Umberto Straccia  </em> </p>
	
	<p class="publicationDetails"> 
            In M. Lytras and A. Sheth, editors,
             
            <em>
            Progressive Concepts for Semantic Web Evolution: Applications and Developments</em>.
        
                Pages 237&#x2212;256.
            Information Science Reference.
        2010.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6764-abstract.html">
			Details <span class="sr-only" > about <em> Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web  </em></span> </a> |
			<a href="/publications/publication6764.bib">
			BibTeX  <span class="sr-only" > data for <em> Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.4018/978-1-60566-992-2.ch011"> Link <span class="sr-only" > to <em> Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[9] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Semantic Web Information Management &#x2212; A Model&#x2212;Based Perspective </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Roberto De Virgilio&#x201a; Fausto Giunchiglia and Letizia Tanca, editors,
             
            <em>
            Semantic Web Information Management</em>.
        
                Pages 249&#x2212;279.
            Springer.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6631-abstract.html">
			Details <span class="sr-only" > about <em> Semantic Web Information Management &#x2212; A Model&#x2212;Based Perspective  </em></span> </a> |
			<a href="/publications/publication6631.bib">
			BibTeX  <span class="sr-only" > data for <em> Semantic Web Information Management &#x2212; A Model&#x2212;Based Perspective  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-642-04329-1_12"> Link <span class="sr-only" > to <em> Semantic Web Information Management &#x2212; A Model&#x2212;Based Perspective  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[10] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Semantic Techniques for the Web: The REWERSE Perspective </strong> </p>
	    <p class="publicationAuthors"> <em> Wlodzimierz Drabent&#x201a; Thomas Eiter&#x201a; Giovambattista Ianni&#x201a; Thomas Krennwallner&#x201a; Thomas Lukasiewicz and Jan Maluszynski  </em> </p>
	
	<p class="publicationDetails"> 
            In Fran&#xe7;ois Bry and Jan Maluszynski, editors,
             
            <em>
            REWERSE</em>.
        
            Vol. 5500
                of Lecture Notes in Computer Science.
        
                Pages 1&#x2212;49.
            Springer.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6629-abstract.html">
			Details <span class="sr-only" > about <em> Semantic Techniques for the Web: The REWERSE Perspective  </em></span> </a> |
			<a href="/publications/publication6629.bib">
			BibTeX  <span class="sr-only" > data for <em> Semantic Techniques for the Web: The REWERSE Perspective  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-642-04581-3_1"> Link <span class="sr-only" > to <em> Semantic Techniques for the Web: The REWERSE Perspective  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[11] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Uncertainty Representation and Reasoning in the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Paulo C. G. da Costa&#x201a; Kathryn B. Laskey and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In J. Cardoso and M. D. Lytras, editors,
             
            <em>
            Semantic Web Engineering in the Knowledge Society</em>.
        
                Pages 315&#x2212;340.
            Information Science Reference.
        October,
            2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6765-abstract.html">
			Details <span class="sr-only" > about <em> Uncertainty Representation and Reasoning in the Semantic Web  </em></span> </a> |
			<a href="/publications/publication6765.bib">
			BibTeX  <span class="sr-only" > data for <em> Uncertainty Representation and Reasoning in the Semantic Web  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.4018/978-1-60566-112-4.ch013"> Link <span class="sr-only" > to <em> Uncertainty Representation and Reasoning in the Semantic Web  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[12] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Rule&#x2212;Based Approaches for Representing Probabilistic Ontology Mappings </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Thomas Lukasiewicz&#x201a; Livia Predoiu and Heiner Stuckenschmidt  </em> </p>
	
	<p class="publicationDetails"> 
            In Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Matthias Nickles and Michael Pool, editors,
             
            <em>
            Uncertainty Reasoning for the Semantic Web I&#x201a; ISWC International Workshops&#x201a; URSW 2005&#x2212;2007&#x201a; Revised Selected and Invited Papers</em>.
        
            Vol. 5327
                of Lecture Notes in Computer Science.
        
                Pages 66&#x2212;87.
            Springer.
        2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6654-abstract.html">
			Details <span class="sr-only" > about <em> Rule&#x2212;Based Approaches for Representing Probabilistic Ontology Mappings  </em></span> </a> |
			<a href="/publications/publication6654.bib">
			BibTeX  <span class="sr-only" > data for <em> Rule&#x2212;Based Approaches for Representing Probabilistic Ontology Mappings  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-540-89765-1_5"> Link <span class="sr-only" > to <em> Rule&#x2212;Based Approaches for Representing Probabilistic Ontology Mappings  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[13] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            An Approach to Probabilistic Data Integration for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec; and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Matthias Nickles and Michael Pool, editors,
             
            <em>
            Uncertainty Reasoning for the Semantic Web I&#x201a; ISWC International Workshops&#x201a; URSW 2005&#x2212;2007&#x201a; Revised Selected and Invited Papers</em>.
        
            Vol. 5327
                of Lecture Notes in Computer Science.
        
                Pages 52&#x2212;65.
            Springer.
        2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6652-abstract.html">
			Details <span class="sr-only" > about <em> An Approach to Probabilistic Data Integration for the Semantic Web  </em></span> </a> |
			<a href="/publications/publication6652.bib">
			BibTeX  <span class="sr-only" > data for <em> An Approach to Probabilistic Data Integration for the Semantic Web  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1007/978-3-540-89765-1_4"> Link <span class="sr-only" > to <em> An Approach to Probabilistic Data Integration for the Semantic Web  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li></ul><h2>
      Journal papers
      </h2><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[1] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            PCA: Semi&#x2212;Supervised Segmentation with Patch Confidence Adversarial Training </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Runhe Yang&#x201a; Zihang Xu&#x201a; Shuo Zhang&#x201a; Yuchen Yang&#x201a; Weipeng Liu&#x201a; Weichao Xu&#x201a; Junyang Chen&#x201a; Thomas Lukasiewicz and Victor Leung  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Network Science and Engineering</em>.
        2025.
        </p> <p
            class="publicationNote"> In press.</p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16508-abstract.html">
			Details <span class="sr-only" > about <em> PCA: Semi&#x2212;Supervised Segmentation with Patch Confidence Adversarial Training  </em></span> </a> |
			<a href="/publications/publication16508.bib">
			BibTeX  <span class="sr-only" > data for <em> PCA: Semi&#x2212;Supervised Segmentation with Patch Confidence Adversarial Training  </em></span>   </a>
			
			 | <a
		href="http://dx.doi.org/https://doi.org/10.1109/TNSE.2025.3548416">
		DOI (https://doi.org/10.1109/TNSE.2025.3548416)
		</a> 
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[2] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Pixel&#x2212;Level Deep Reinforcement Learning for Accurate and Robust Medical Image Segmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Yunxin Liu&#x201a; Di Yuan&#x201a; Zhenghua Xu&#x201a; Yuefu Zhan&#x201a; Hongwei Zhang&#x201a; Jun Lu and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Scientific Reports</em>.
        2025.
        </p> <p
            class="publicationNote"> In press.</p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16507-abstract.html">
			Details <span class="sr-only" > about <em> Pixel&#x2212;Level Deep Reinforcement Learning for Accurate and Robust Medical Image Segmentation  </em></span> </a> |
			<a href="/publications/publication16507.bib">
			BibTeX  <span class="sr-only" > data for <em> Pixel&#x2212;Level Deep Reinforcement Learning for Accurate and Robust Medical Image Segmentation  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[3] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Aggregated Mutual Learning between CNN and Transformer for semi&#x2212;supervised medical image segmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Hening Wang&#x201a; Runhe Yang&#x201a; Yuchen Yang&#x201a; Weipeng Liu and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Knowledge&#x2212;Based Systems</em>.
        
            Vol. 311.
        
                Pages 113005.
            2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16493-abstract.html">
			Details <span class="sr-only" > about <em> Aggregated Mutual Learning between CNN and Transformer for semi&#x2212;supervised medical image segmentation  </em></span> </a> |
			<a href="/publications/publication16493.bib">
			BibTeX  <span class="sr-only" > data for <em> Aggregated Mutual Learning between CNN and Transformer for semi&#x2212;supervised medical image segmentation  </em></span>   </a>
			
			 | <a
		href="http://dx.doi.org/https://doi.org/10.1016/j.knosys.2025.113005">
		DOI (https://doi.org/10.1016/j.knosys.2025.113005)
		</a> 
					| <a href="https://www.sciencedirect.com/science/article/pii/S095070512500053X"> Link <span class="sr-only" > to <em> Aggregated Mutual Learning between CNN and Transformer for semi&#x2212;supervised medical image segmentation  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[4] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Hybrid Reinforced Medical Report Generation with M&#x2212;Linear Attention and Repetition Penalty </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Wenting Xu&#x201a; Ruizhi Wang&#x201a; Junyang Chen&#x201a; Chang Qi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Neural Networks and Learning Systems</em>.
        
            Vol. 36.
        
            No. 2.
        
                Pages 2206&#x2013;2220.
            February,
            2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16099-abstract.html">
			Details <span class="sr-only" > about <em> Hybrid Reinforced Medical Report Generation with M&#x2212;Linear Attention and Repetition Penalty  </em></span> </a> |
			<a href="/publications/publication16099.bib">
			BibTeX  <span class="sr-only" > data for <em> Hybrid Reinforced Medical Report Generation with M&#x2212;Linear Attention and Repetition Penalty  </em></span>   </a>
			
			 | <a
		href="http://dx.doi.org/https://doi.org/10.1109/TNNLS.2023.3343391">
		DOI (https://doi.org/10.1109/TNNLS.2023.3343391)
		</a> 
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[5] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Automatic data augmentation for medical image segmentation using Adaptive Sequence&#x2212;length based Deep Reinforcement Learning </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Shengxin Wang&#x201a; Gang Xu&#x201a; Yunxin Liu&#x201a; Miao Yu&#x201a; Hongwei Zhang&#x201a; Thomas Lukasiewicz and Junhua Gu  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Comput. Biol. Medicine</em>.
        
            Vol. 169.
        
                Pages 107877.
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16483-abstract.html">
			Details <span class="sr-only" > about <em> Automatic data augmentation for medical image segmentation using Adaptive Sequence&#x2212;length based Deep Reinforcement Learning  </em></span> </a> |
			<a href="/publications/publication16483.bib">
			BibTeX  <span class="sr-only" > data for <em> Automatic data augmentation for medical image segmentation using Adaptive Sequence&#x2212;length based Deep Reinforcement Learning  </em></span>   </a>
			
			 | <a
		href="http://dx.doi.org/10.1016/J.COMPBIOMED.2023.107877">
		DOI (10.1016/J.COMPBIOMED.2023.107877)
		</a> 
					| <a href="https://doi.org/10.1016/j.compbiomed.2023.107877"> Link <span class="sr-only" > to <em> Automatic data augmentation for medical image segmentation using Adaptive Sequence&#x2212;length based Deep Reinforcement Learning  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[6] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Cross&#x2212;domain attention&#x2212;guided generative data augmentation for medical image analysis with limited data </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Jiaqi Tang&#x201a; Chang Qi&#x201a; Dan Yao&#x201a; Caihua Liu&#x201a; Yuefu Zhan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Comput. Biol. Medicine</em>.
        
            Vol. 168.
        
                Pages 107744.
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16482-abstract.html">
			Details <span class="sr-only" > about <em> Cross&#x2212;domain attention&#x2212;guided generative data augmentation for medical image analysis with limited data  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Cross&#x2212;domain attention&#x2212;guided generative data augmentation for medical image analysis with limited data  </em></span>   </a>
			
			 | <a
		href="http://dx.doi.org/10.1016/J.COMPBIOMED.2023.107744">
		DOI (10.1016/J.COMPBIOMED.2023.107744)
		</a> 
					| <a href="https://doi.org/10.1016/j.compbiomed.2023.107744"> Link <span class="sr-only" > to <em> Cross&#x2212;domain attention&#x2212;guided generative data augmentation for medical image analysis with limited data  </em></span> </a>
  				
		
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				[7] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Machine Learning with Requirements: A Manifesto </strong> </p>
	    <p class="publicationAuthors"> <em> Eleonora Giunchiglia&#x201a; Fergus Imrie&#x201a; Mihaela van der Schaar and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Neurosymbolic Artificial Intelligence</em>.
        2024.
        </p> <p
            class="publicationNote"> In press.</p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16457-abstract.html">
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					| <a href="https://neurosymbolic-ai-journal.com/paper/machine-learning-requirements-manifesto-0"> Link <span class="sr-only" > to <em> Machine Learning with Requirements: A Manifesto  </em></span> </a>
  				
		
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				[8] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Self&#x2212;Supervised Medical Image Segmentation Using Deep Reinforced Adaptive Masking </strong> </p>
	    <p class="publicationAuthors"> <em> Yunxin Liu&#x201a; Gang Xu&#x201a; Thomas Lukasiewicz and Zhenghua Xu  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Medical Imaging</em>.
        2024.
        </p> <p
            class="publicationNote"> In press.</p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16346-abstract.html">
			Details <span class="sr-only" > about <em> Self&#x2212;Supervised Medical Image Segmentation Using Deep Reinforced Adaptive Masking  </em></span> </a> |
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		</div> 
	</div> 
	
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				[9] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Correcting Flaws in Common Disentanglement Metrics </strong> </p>
	    <p class="publicationAuthors"> <em> Louis Mahon&#x201a; Lei Sha and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Transactions on Machine Learning Research</em>.
        2024.
        </p> <p
            class="publicationNote"> In press.</p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16306-abstract.html">
			Details <span class="sr-only" > about <em> Correcting Flaws in Common Disentanglement Metrics  </em></span> </a> |
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		</div> 
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			<div class="col-xs-1 text-right">
				[10] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Explanations for Query Answers under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz&#x201a; Enrico Malizia and Andrius Vaicenavi&#x010d;ius  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        2024.
        </p> <p
            class="publicationNote"> Conditionally accepted for publication</p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16248-abstract.html">
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		</div> 
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			<div class="col-xs-1 text-right">
				[11] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Evaluating Language Models for Mathematics through Interactions </strong> </p>
	    <p class="publicationAuthors"> <em> Katherine M. Collins&#x201a; Albert Jiang&#x201a; Simon Frieder&#x201a; Lionel Wong&#x201a; Miri Zilka&#x201a; Umang Bhatt&#x201a; Thomas Lukasiewicz&#x201a; Yuhuai Wu&#x201a; Joshua B. Tenenbaum&#x201a; William Hart&#x201a; Timothy Gowers&#x201a; Wenda Li&#x201a; Adrian Weller and Mateja Jamnik  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Proceedings of the National Academy of Sciences of the United States of America (PNAS)</em>.
        
            Vol. 121.
        
            No. 24.
        June,
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16222-abstract.html">
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					| <a href="https://doi.org/10.1073/pnas.2318124121"> Link <span class="sr-only" > to <em> Evaluating Language Models for Mathematics through Interactions  </em></span> </a>
  				
		
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				[12] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            CCN+: A Neuro&#x2212;symbolic Framework for Deep Learning with Requirements &#x202f; </strong> </p>
	    <p class="publicationAuthors"> <em> Eleonora Giunchiglia&#x201a; Alex Tatomir&#x201a; Mihaela Catalina Stoian and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        2024.
        </p> <p
            class="publicationNote"> In press.</p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16189-abstract.html">
			Details <span class="sr-only" > about <em> CCN+: A Neuro&#x2212;symbolic Framework for Deep Learning with Requirements &#x202f;  </em></span> </a> |
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					| <a href="https://doi.org/10.1016/j.ijar.2024.109124"> Link <span class="sr-only" > to <em> CCN+: A Neuro&#x2212;symbolic Framework for Deep Learning with Requirements &#x202f;  </em></span> </a>
  				
		
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				[13] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Pre&#x2212;training and Diagnosing Knowledge Base Completion Models </strong> </p>
	    <p class="publicationAuthors"> <em> Vid Kocijan&#x201a; Myeongjun Jang and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 329.
        
            No. 104081.
        April,
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16186-abstract.html">
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					| <a href="https://doi.org/10.1016/j.artint.2024.104081"> Link <span class="sr-only" > to <em> Pre&#x2212;training and Diagnosing Knowledge Base Completion Models  </em></span> </a>
  				
		
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				[14] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Minimum Description Length Clustering to Measure Meaningful Image Complexity </strong> </p>
	    <p class="publicationAuthors"> <em> Louis Mahon and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Pattern Recognition</em>.
        
            Vol. 145.
        
            No. 109889.
        January,
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15890-abstract.html">
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					| <a href="https://doi.org/10.1016/j.patcog.2023.109889"> Link <span class="sr-only" > to <em> Minimum Description Length Clustering to Measure Meaningful Image Complexity  </em></span> </a>
  				
		
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				[15] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation </strong> </p>
	    <p class="publicationAuthors"> <em> Yuhang Song&#x201a; Beren Millidge&#x201a; Tommaso Salvatori&#x201a; Thomas Lukasiewicz&#x201a; Zhenghua Xu and Rafal Bogacz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Nature Neuroscience</em>.
        2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15857-abstract.html">
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					| <a href="https://doi.org/10.1038/s41593-023-01514-1"> Link <span class="sr-only" > to <em> Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation  </em></span> </a>
  				
		
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[16] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Large Language Models for Mathematicians </strong> </p>
	    <p class="publicationAuthors"> <em> Simon Frieder&#x201a; Julius Berner&#x201a; Philipp Petersen and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Mathematical News</em>.
        
            Vol. 254.
        
                Pages 1&#x2013;20.
            December,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16190-abstract.html">
			Details <span class="sr-only" > about <em> Large Language Models for Mathematicians  </em></span> </a> |
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				[17] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Collaborative Attention Guided Multi&#x2212;Scale Feature Fusion Network for Medical Image Segmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Biao Tian&#x201a; Shijie Liu&#x201a; Xiangtao Wang&#x201a; Di Yuan&#x201a; Junhua Gu&#x201a; Junyang Chen&#x201a; Thomas Lukasiewicz and Victor C. M. Leung  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Network Science and Engineering</em>.
        
            Vol. 11.
        
            No. 2.
        
                Pages 1857&#x2013;1871.
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16003-abstract.html">
			Details <span class="sr-only" > about <em> Collaborative Attention Guided Multi&#x2212;Scale Feature Fusion Network for Medical Image Segmentation  </em></span> </a> |
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					| <a href="https://doi.org/10.1109/TNSE.2023.3332810"> Link <span class="sr-only" > to <em> Collaborative Attention Guided Multi&#x2212;Scale Feature Fusion Network for Medical Image Segmentation  </em></span> </a>
  				
		
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	</div> 
	
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				[18] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Text attribute control via closed&#x2212;loop disentanglement </strong> </p>
	    <p class="publicationAuthors"> <em> Lei Sha and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Transactions of the Association for Computational Linguistics (TACL)</em>.
        2023.
        </p> <p
            class="publicationNote"> Accepted for publication</p>
	
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            		href="/publications/publication15996-abstract.html">
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					| <a href="https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00640/119813/Text-Attribute-Control-via-Closed-Loop"> Link <span class="sr-only" > to <em> Text attribute control via closed&#x2212;loop disentanglement  </em></span> </a>
  				
		
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				[19] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            RIRGAN: An end&#x2212;to&#x2212;end lightweight multi&#x2212;task learning method for brain MRI super&#x2212;resolution and denoising </strong> </p>
	    <p class="publicationAuthors"> <em> Miao Yu&#x201a; Miaomiao Guo&#x201a; Shuai Zhang&#x201a; Yuefu Zhan&#x201a; Mingkang Zhao&#x201a; Thomas Lukasiewicz and Zhenghua Xu  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Computers in Biology and Medicine</em>.
        
            Vol. 167.
        
                Pages 107632.
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15995-abstract.html">
			Details <span class="sr-only" > about <em> RIRGAN: An end&#x2212;to&#x2212;end lightweight multi&#x2212;task learning method for brain MRI super&#x2212;resolution and denoising  </em></span> </a> |
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					| <a href="https://doi.org/10.1016/j.compbiomed.2023.107632"> Link <span class="sr-only" > to <em> RIRGAN: An end&#x2212;to&#x2212;end lightweight multi&#x2212;task learning method for brain MRI super&#x2212;resolution and denoising  </em></span> </a>
  				
		
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				[20] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            PhaCIA&#x2212;TCNs: Short&#x2212;Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Zhoutao Yu&#x201a; Hexiang Zhang&#x201a; Junyang Chen&#x201a; Junhua Gu&#x201a; Thomas Lukasiewicz and Victor Leung  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Network Science and Engineering</em>.
        August,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15866-abstract.html">
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					| <a href="https://doi.org/10.1109/TNSE.2023.3300744"> Link <span class="sr-only" > to <em> PhaCIA&#x2212;TCNs: Short&#x2212;Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention  </em></span> </a>
  				
		
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				[21] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            The Defeat of the Winograd Schema Challenge </strong> </p>
	    <p class="publicationAuthors"> <em> Vid Kocijan&#x201a; Ernest Davis&#x201a; Thomas Lukasiewicz&#x201a; Gary Marcus and Leora Morgenstern  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 325.
        
            No. 103971.
        December,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15847-abstract.html">
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					| <a href="https://doi.org/10.1016/j.artint.2023.103971"> Link <span class="sr-only" > to <em> The Defeat of the Winograd Schema Challenge  </em></span> </a>
  				
		
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				[22] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Multi&#x2212;ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self&#x2212;Supervised Medical Image Segmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Jiaojiao Zhang&#x201a; Shuo Zhang&#x201a; Xiaoqian Shen&#x201a; Thomas Lukasiewicz and Zhenghua Xu  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Medical Imaging</em>.
        2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15844-abstract.html">
			Details <span class="sr-only" > about <em> Multi&#x2212;ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self&#x2212;Supervised Medical Image Segmentation  </em></span> </a> |
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				[23] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            EFPN: Effective medical image detection using feature pyramid fusion enhancement </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Xudong Zhang&#x201a; Hexiang Zhang&#x201a; Yunxin Liu&#x201a; Yuefu Zhan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Computers in Biology and Medicine</em>.
        
            Vol. 163.
        
                Pages 107149.
            2023.
        </p>
	
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            		href="/publications/publication15843-abstract.html">
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					| <a href="https://doi.org/10.1016/j.compbiomed.2023.107149"> Link <span class="sr-only" > to <em> EFPN: Effective medical image detection using feature pyramid fusion enhancement  </em></span> </a>
  				
		
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				[24] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Painless and accurate medical image analysis using deep reinforcement learning with task&#x2212;oriented homogenized automatic pre&#x2212;processing </strong> </p>
	    <p class="publicationAuthors"> <em> Di Yuan&#x201a; Yunxin Liu&#x201a; Zhenghua Xu&#x201a; Yuefu Zhan&#x201a; Junyang Chen and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Computers in Biology and Medicine</em>.
        
            Vol. 153.
        
                Pages 106487.
            February,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15815-abstract.html">
			Details <span class="sr-only" > about <em> Painless and accurate medical image analysis using deep reinforcement learning with task&#x2212;oriented homogenized automatic pre&#x2212;processing  </em></span> </a> |
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					| <a href="https://doi.org/10.1016/j.compbiomed.2022.106487"> Link <span class="sr-only" > to <em> Painless and accurate medical image analysis using deep reinforcement learning with task&#x2212;oriented homogenized automatic pre&#x2212;processing  </em></span> </a>
  				
		
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			<div class="col-xs-1 text-right">
				[25] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            &#x03bc;&#x2212;Net: Medical image segmentation using efficient and effective deep supervision </strong> </p>
	    <p class="publicationAuthors"> <em> Di Yuan&#x201a; Zhenghua Xu&#x201a; Biao Tian&#x201a; Hening Wang&#x201a; Yuefu Zhan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Computers in Biology and Medicine</em>.
        
            Vol. 160.
        
                Pages 106963.
            June,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15814-abstract.html">
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			<div class="col-xs-1 text-right">
				[26] 
			</div>

		
        
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	<p class="publicationTitle"> <strong>
            Recurrent predictive coding models for associative memory employing covariance learning </strong> </p>
	    <p class="publicationAuthors"> <em> Mufeng Tang&#x201a; Tommaso Salvatori&#x201a; Beren Millidge&#x201a; Yuhang Song&#x201a; Thomas Lukasiewicz and Rafal Bogacz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>PLOS Computational Biology</em>.
        
            Vol. 19.
        
            No. 4.
        
                Pages e1010719.
            April,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15780-abstract.html">
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					| <a href="https://doi.org/10.1371/journal.pcbi.1010719"> Link <span class="sr-only" > to <em> Recurrent predictive coding models for associative memory employing covariance learning  </em></span> </a>
  				
		
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[27] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            PAC&#x2212;Net: Multi&#x2212;Pathway FPN with Position Attention Guided Connections and Vertex Distance IoU for 3D Medical Image Detection </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Tianrun Li&#x201a; Yunxin Liu&#x201a; Yuefu Zhan&#x201a; Junyang Chen and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Frontiers in Bioengineering and Biotechnology</em>.
        
            Vol. 11.
        
                Pages 1049555.
            February,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15709-abstract.html">
			Details <span class="sr-only" > about <em> PAC&#x2212;Net: Multi&#x2212;Pathway FPN with Position Attention Guided Connections and Vertex Distance IoU for 3D Medical Image Detection  </em></span> </a> |
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					| <a href="https://doi.org/10.3389/fbioe.2023.1049555"> Link <span class="sr-only" > to <em> PAC&#x2212;Net: Multi&#x2212;Pathway FPN with Position Attention Guided Connections and Vertex Distance IoU for 3D Medical Image Detection  </em></span> </a>
  				
		
		</div> 
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				[28] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Hi&#x2212;BEHRT: Hierarchical Transformer&#x2212;Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records </strong> </p>
	    <p class="publicationAuthors"> <em> Yikuan Li&#x201a; Mohammad Mamouei&#x201a; Gholamreza Salimi&#x2212;Khorshidi&#x201a; Shishir Rao&#x201a; Abdelaali Hassaine&#x201a; Dexter Canoy&#x201a; Thomas Lukasiewicz and Kazem Rahimi  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Journal of Biomedical and Health Informatics</em>.
        
            Vol. 27.
        
            No. 2.
        
                Pages 1106&#x2013;1117.
            November,
            2023.
        </p>
	
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            		href="/publications/publication15678-abstract.html">
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					| <a href="https://doi.org/10.1109/JBHI.2022.3224727"> Link <span class="sr-only" > to <em> Hi&#x2212;BEHRT: Hierarchical Transformer&#x2212;Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[29] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Rationalizing Predictions by Adversarial Information Calibration </strong> </p>
	    <p class="publicationAuthors"> <em> Lei Sha&#x201a; Oana&#x2212;Maria Camburu and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 315.
        
                Pages 103828.
            February,
            2023.
        </p>
	
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            		href="/publications/publication15632-abstract.html">
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					| <a href="https://doi.org/10.1016/j.artint.2022.103828"> Link <span class="sr-only" > to <em> Rationalizing Predictions by Adversarial Information Calibration  </em></span> </a>
  				
		
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			<div class="col-xs-1 text-right">
				[30] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Multi&#x2212;Modal Contrastive Mutual Learning and Pseudo&#x2212;Label Re&#x2212;Learning for Semi&#x2212;Supervised Medical Image Segmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Shuo Zhang&#x201a; Jiaojiao Zhang&#x201a; Biao Tian&#x201a; Thomas Lukasiewicz and Zhenghua Xu  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Medical Image Analysis</em>.
        
            Vol. 83.
        
                Pages 102656.
            January,
            2023.
        </p>
	
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            		href="/publications/publication15363-abstract.html">
			Details <span class="sr-only" > about <em> Multi&#x2212;Modal Contrastive Mutual Learning and Pseudo&#x2212;Label Re&#x2212;Learning for Semi&#x2212;Supervised Medical Image Segmentation  </em></span> </a> |
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					| <a href="https://doi.org/10.1016/j.media.2022.102656"> Link <span class="sr-only" > to <em> Multi&#x2212;Modal Contrastive Mutual Learning and Pseudo&#x2212;Label Re&#x2212;Learning for Semi&#x2212;Supervised Medical Image Segmentation  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[31] 
			</div>

		
        
		<div
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	<p class="publicationTitle"> <strong>
            ROAD&#x2212;R: The Autonomous Driving Dataset with Logical Requirements </strong> </p>
	    <p class="publicationAuthors"> <em> Eleonora Giunchiglia&#x201a; Mihaela Catalina Stoian&#x201a; Salman Khan&#x201a; Fabio Cuzzolin and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Machine Learning</em>.
        May,
            2023.
        </p>
	
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            		href="/publications/publication15275-abstract.html">
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					| <a href="https://doi.org/10.1007/s10994-023-06322-z"> Link <span class="sr-only" > to <em> ROAD&#x2212;R: The Autonomous Driving Dataset with Logical Requirements  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[32] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            An Explainable Transformer&#x2212;Based Deep Learning Model for the Prediction of Incident Heart Failure </strong> </p>
	    <p class="publicationAuthors"> <em> Shishir Rao&#x201a; Yikuan Li&#x201a; Rema Ramakrishnan&#x201a; Abdelaali Hassaine&#x201a; Dexter Canoy&#x201a; John Cleland&#x201a; Thomas Lukasiewicz&#x201a; Gholamreza Salimi&#x2212;Khorshidi and Kazem Rahimi  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Journal of Biomedical and Health Informatics</em>.
        
            Vol. 26.
        
            No. 7.
        
                Pages 3362&#x2212;3372.
            February,
            2022.
        </p>
	
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            		href="/publications/publication15816-abstract.html">
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					| <a href="https://doi.org/10.1109/JBHI.2022.3148820"> Link <span class="sr-only" > to <em> An Explainable Transformer&#x2212;Based Deep Learning Model for the Prediction of Incident Heart Failure  </em></span> </a>
  				
		
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[33] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            NoiER: An Approach for Training more Reliable Fine&#x2212;Tuned Downstream Task Models </strong> </p>
	    <p class="publicationAuthors"> <em> Myeongjun Jang and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Audio&#x201a; Speech and Language Processing</em>.
        
            Vol. 30.
        
                Pages 2514&#x2013;2525.
            July,
            2022.
        </p>
	
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            		href="/publications/publication14909-abstract.html">
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					| <a href="http://dx.doi.org/10.1109/TASLP.2022.3193292"> Link <span class="sr-only" > to <em> NoiER: An Approach for Training more Reliable Fine&#x2212;Tuned Downstream Task Models  </em></span> </a>
  				
		
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[34] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Haozhe Lin&#x201a; Yushun Fan&#x201a; Jia Zhang&#x201a; Bing Bai&#x201a; Zhenghua Xu and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Services Computing</em>.
        
            Vol. 16.
        
            No. 1.
        
                Pages 642&#x2013;655.
            January,
            2022.
        </p>
	
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            		href="/publications/publication14883-abstract.html">
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[35] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            &#x03c9;&#x2212;Net: Dual Supervised Medical Image Segmentation with Multi&#x2212;Dimensional Self&#x2212;Attention and Diversely&#x2212;Connected Multi&#x2212;Scale Convolution </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Shijie Liu&#x201a; Di Yuan&#x201a; Lei Wang&#x201a; Junyang Chen&#x201a; Thomas Lukasiewicz&#x201a; Zhigang Fu and Rui Zhang  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Neurocomputing</em>.
        
            Vol. 500.
        
                Pages 177&#x2212;190.
            August,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14882-abstract.html">
			Details <span class="sr-only" > about <em> &#x03c9;&#x2212;Net: Dual Supervised Medical Image Segmentation with Multi&#x2212;Dimensional Self&#x2212;Attention and Diversely&#x2212;Connected Multi&#x2212;Scale Convolution  </em></span> </a> |
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					| <a href="https://doi.org/10.1016/j.neucom.2022.05.053"> Link <span class="sr-only" > to <em> &#x03c9;&#x2212;Net: Dual Supervised Medical Image Segmentation with Multi&#x2212;Dimensional Self&#x2212;Attention and Diversely&#x2212;Connected Multi&#x2212;Scale Convolution  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[36] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Inconsistency&#x2212;Tolerant Query Answering for Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Enrico Malizia&#x201a; Maria Vanina Martinez&#x201a; Cristian Molinaro&#x201a; Andreas Pieris and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 307.
        
                Pages 103685.
            June,
            2022.
        </p>
	
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            		href="/publications/publication14502-abstract.html">
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					| <a href="https://doi.org/10.1016/j.artint.2022.103685"> Link <span class="sr-only" > to <em> Inconsistency&#x2212;Tolerant Query Answering for Existential Rules  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[37] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity Results for Preference Aggregation over (m)CP&#x2212;Nets: Max and Rank Voting </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Enrico Malizia  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 303.
        
                Pages 103636.
            February,
            2022.
        </p>
	
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            		href="/publications/publication14498-abstract.html">
			Details <span class="sr-only" > about <em> Complexity Results for Preference Aggregation over (m)CP&#x2212;Nets: Max and Rank Voting  </em></span> </a> |
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					| <a href="https://doi.org/10.1016/j.artint.2021.103636"> Link <span class="sr-only" > to <em> Complexity Results for Preference Aggregation over (m)CP&#x2212;Nets: Max and Rank Voting  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[38] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records </strong> </p>
	    <p class="publicationAuthors"> <em> Yikuan Li&#x201a; Shishir Rao&#x201a; Abdelaali Hassaine&#x201a; Rema Ramakrishnan&#x201a; Dexter Canoy&#x201a; Gholamreza Salimi&#x2212;Khorshidi&#x201a; Mohammad Mamouei&#x201a; Thomas Lukasiewicz and Kazem Rahimi  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Scientific Reports</em>.
        
            Vol. 11.
        
                Pages 20685:1&#x2013;13.
            October,
            2021.
        </p>
	
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            		href="/publications/publication14889-abstract.html">
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					| <a href="https://doi.org/10.1038/s41598-021-00144-6"> Link <span class="sr-only" > to <em> Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[39] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Multi&#x2212;Label Classification Neural Networks with Hard Logical Constraints </strong> </p>
	    <p class="publicationAuthors"> <em> Eleonora Giunchiglia and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal of Artificial Intelligence Research</em>.
        
            Vol. 72.
        
                Pages 759&#x2013;818.
            November,
            2021.
        </p>
	
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            		href="/publications/publication14648-abstract.html">
			Details <span class="sr-only" > about <em> Multi&#x2212;Label Classification Neural Networks with Hard Logical Constraints  </em></span> </a> |
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					| <a href="https://doi.org/10.1613/jair.1.12850"> Link <span class="sr-only" > to <em> Multi&#x2212;Label Classification Neural Networks with Hard Logical Constraints  </em></span> </a>
  				
		
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			<div class="col-xs-1 text-right">
				[40] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Stable Model Semantics for Guarded Existential Rules and Description Logics: Decidability and Complexity </strong> </p>
	    <p class="publicationAuthors"> <em> Georg Gottlob&#x201a; Andr&#xe9; Hernich&#x201a; Clemens Kupke and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal of the ACM</em>.
        
            Vol. 68.
        
            No. 5.
        
                Pages 35:1&#x2013;87.
            October,
            2021.
        </p>
	
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			<div class="col-xs-1 text-right">
				[41] 
			</div>

		
        
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	<p class="publicationTitle"> <strong>
            An Ontology&#x2212;Based Deep Learning Approach for Triple Classification with Out&#x2212;of&#x2212;Knowledge&#x2212;Base Entities </strong> </p>
	    <p class="publicationAuthors"> <em> Elvira Amador&#x2212;Dom&#x0131;&#x0301;nguez&#x201a; Emilio Serrano&#x201a; Daniel Manrique&#x201a; Patrick Hohenecker and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Information Sciences</em>.
        
            Vol. 564.
        
                Pages 85&#x2013;102.
            July,
            2021.
        </p>
	
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		</div> 
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			<div class="col-xs-1 text-right">
				[42] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Ontology Reasoning with Deep Neural Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Patrick Hohenecker and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal of Artificial Intelligence Research (JAIR)</em>.
        
            Vol. 68.
        
                Pages 503&#x2013;540.
            July,
            2020.
        </p>
	
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					| <a href="https://doi.org/10.1613/jair.1.11661"> Link <span class="sr-only" > to <em> Ontology Reasoning with Deep Neural Networks  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[43] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Partially Observable Game&#x2212;Theoretic Agent Programming in Golog </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        
            Vol. 119.
        
                Pages 220&#x2013;241.
            April,
            2020.
        </p>
	
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					| <a href="https://doi.org/10.1016/j.ijar.2019.12.017"> Link <span class="sr-only" > to <em> Partially Observable Game&#x2212;Theoretic Agent Programming in Golog  </em></span> </a>
  				
		
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			<div class="col-xs-1 text-right">
				[44] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Combining RDF and SPARQL with CP&#x2212;Theories to Reason about Preferences in a Linked Data Setting </strong> </p>
	    <p class="publicationAuthors"> <em> Jessica Rosati&#x201a; Tommaso Di Noia&#x201a; Renato De Leone&#x201a; Thomas Lukasiewicz and Vito Walter Anelli  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Semantic Web</em>.
        
            Vol. 11.
        
            No. 3.
        
                Pages 391&#x2013;419.
            April,
            2020.
        </p>
	
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            		href="/publications/publication12146-abstract.html">
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			<div class="col-xs-1 text-right">
				[45] 
			</div>

		
        
		<div
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	<p class="publicationTitle"> <strong>
            Complexity Results for Preference Aggregation over (m)CP&#x2212;nets: Pareto and Majority Voting </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Enrico Malizia  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 272.
        
                Pages 101&#x2013;142.
            July,
            2019.
        </p>
	
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					| <a href="https://doi.org/10.1016/j.artint.2018.12.010"> Link <span class="sr-only" > to <em> Complexity Results for Preference Aggregation over (m)CP&#x2212;nets: Pareto and Majority Voting  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[46] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Lightweight Tag&#x2212;Aware Personalized Recommendation on the Social Web Using Ontological Similarity </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Oana Tifrea&#x2212;Marciuska&#x201a; Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Cheng Chen  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Access</em>.
        
            Vol. 6.
        
            No. 1.
        
                Pages 35590&#x2212;35610.
            July,
            2018.
        </p>
	
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[47] 
			</div>

		
        
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	<p class="publicationTitle"> <strong>
            Ontological Query Answering under Many&#x2212;Valued Group Preferences in Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Bettina Fazzinga&#x201a; Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        
            Vol. 93.
        
                Pages 354&#x2013;371.
            February,
            2018.
        </p>
	
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            		href="/publications/publication11520-abstract.html">
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					| <a href="https://doi.org/10.1016/j.ijar.2017.11.008"> Link <span class="sr-only" > to <em> Ontological Query Answering under Many&#x2212;Valued Group Preferences in Datalog+&#x2044;&#x2212;  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[48] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Novel Characterization of the Complexity Class &#x0398;^P_k Based on Counting and Comparison </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Enrico Malizia  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Theoretical Computer Science</em>.
        
            Vol. 694.
        
                Pages 21&#x2013;33.
            September,
            2017.
        </p>
	
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            		href="/publications/publication11078-abstract.html">
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		</div> 
	</div> 
	
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				[49] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Many Facets of Reasoning Under Uncertainty&#x201a; Inconsistency&#x201a; Vagueness&#x201a; and Preferences: A Brief Survey </strong> </p>
	    <p class="publicationAuthors"> <em> Gabriele Kern&#x2212;Isberner and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>K&#xfc;nstliche Intelligenz</em>.
        
            Vol. 31.
        
            No. 1.
        
                Pages 9&#x2013;13.
            March,
            2017.
        </p>
	
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				[50] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Location&#x2212;Aware Personalized News Recommendation with Deep Semantic Analysis </strong> </p>
	    <p class="publicationAuthors"> <em> Cheng Chen&#x201a; Xiangwu Meng&#x201a; Zhenghua Xu and Thomas Lukasiewicz.  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Access</em>.
        
            Vol. 5.
        
                Pages 1624&#x2013;1638.
            January,
            2017.
        </p>
	
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					| <a href="http://dx.doi.org/10.1109/ACCESS.2017.2655150"> Link <span class="sr-only" > to <em> Location&#x2212;Aware Personalized News Recommendation with Deep Semantic Analysis  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[51] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preface </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Attila Sali  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Annals of Mathematics and Artificial Intelligence</em>.
        
            Vol. 73.
        
            No. 1/2.
        
                Pages 1&#x2212;3.
            January,
            2015.
        </p>
	
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					| <a href="http://dx.doi.org/10.1007/s10472-014-9431-9"> Link <span class="sr-only" > to <em> Preface  </em></span> </a>
  				
		
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[52] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preference&#x2212;Based Query Answering in Probabilistic Datalog+&#x2044;&#x2212; Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal on Data Semantics</em>.
        
            Vol. 4.
        
            No. 2.
        
                Pages 81&#x2212;101.
            June,
            2015.
        </p>
	
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			<div class="col-xs-1 text-right">
				[53] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Ontology&#x2212;Based Query Answering with Group Preferences </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>ACM Transactions on Internet Technology (TOIT)</em>.
        
            Vol. 14.
        
            No. 4.
        
                Pages 25:1&#x2212;25:24.
            December,
            2014.
        </p>
	
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					| <a href="http://dx.doi.org/10.1145/2677207"> Link <span class="sr-only" > to <em> Ontology&#x2212;Based Query Answering with Group Preferences  </em></span> </a>
  				
		
		</div> 
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[54] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preface </strong> </p>
	    <p class="publicationAuthors"> <em> Diego Calvanese and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Semantic Web</em>.
        
            Vol. 4.
        
            No. 4.
        
                Pages 349.
            2013.
        </p>
	
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[55] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Query Answering under Probabilistic Uncertainty in Datalog+&#x2044;&#x2212; Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Georg Gottlob&#x201a; Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Annals of Mathematics and Artificial Intelligence</em>.
        
            Vol. 69.
        
            No. 1.
        
                Pages 37&#x2212;72.
            September,
            2013.
        </p>
	
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			<div class="col-xs-1 text-right">
				[56] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preface </strong> </p>
	    <p class="publicationAuthors"> <em> Sergio Greco and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Annals of Mathematics and Artificial Intelligence</em>.
        
            Vol. 64.
        
            No. 2&#x2212;3.
        
                Pages 109&#x2212;111.
            2012.
        </p>
	
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		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[57] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Ontology&#x2212;Based Semantic Search on the Web and its Combination with the Power of Inductive Reasoning </strong> </p>
	    <p class="publicationAuthors"> <em> Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Bettina Fazzinga&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Annals of Mathematics and Artificial Intelligence</em>.
        
            Vol. 65.
        
            No. 2/3.
        
                Pages 83&#x2212;121.
            July,
            2012.
        </p>
	
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		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[58] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A General Datalog&#x2212;Based Framework for Tractable Query Answering over Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal of Web Semantics</em>.
        
            Vol. 14.
        
                Pages 57&#x2013;83.
            July,
            2012.
        </p>
	
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					| <a href="http://dx.doi.org/10.1016/j.websem.2012.03.001"> Link <span class="sr-only" > to <em> A General Datalog&#x2212;Based Framework for Tractable Query Answering over Ontologies  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[59] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Logical Toolbox for Ontological Reasoning </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob&#x201a; Thomas Lukasiewicz and Andreas Pieris  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>SIGMOD Record</em>.
        
            Vol. 40.
        
            No. 3.
        
                Pages 5&#x2013;14.
            2011.
        </p>
	
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					| <a href="http://dx.doi.org/10.1145/2070736.2070738"> Link <span class="sr-only" > to <em> A Logical Toolbox for Ontological Reasoning  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[60] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Semantic Web Search Based on Ontological Conjunctive Queries </strong> </p>
	    <p class="publicationAuthors"> <em> Bettina Fazzinga&#x201a; Giorgio Gianforme&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal of Web Semantics</em>.
        
            Vol. 9.
        
                Pages 453&#x2212;473.
            December,
            2011.
        </p>
	
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		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[61] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Livia Predoiu and Heiner Stuckenschmidt  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Annals of Mathematics and Artificial Intelligence</em>.
        
            Vol. 63.
        
            No. 3/4.
        
                Pages 385&#x2212;425.
            December,
            2011.
        </p>
	
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					| <a href="http://dx.doi.org/10.1007/s10472-012-9280-3"> Link <span class="sr-only" > to <em> Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[62] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Well&#x2212;founded Semantics for Description Logic Programs in the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter&#x201a; Giovambattista Ianni&#x201a; Thomas Lukasiewicz and Roman Schindlauer  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>ACM Transactions on Computational Logic (TOCL)</em>.
        
            Vol. 12.
        
            No. 2.
        
                Pages 11:1&#x2013;11:41.
            January,
            2011.
        </p>
	
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		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[63] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Semantic Search on the Web </strong> </p>
	    <p class="publicationAuthors"> <em> Bettina Fazzinga and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Semantic Web</em>.
        
            Vol. 1.
        
            No. 1/2.
        
                Pages 89&#x2013;96.
            December,
            2010.
        </p>
	
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					| <a href="http://dx.doi.org/10.3233/SW-2010-0023"> Link <span class="sr-only" > to <em> Semantic Search on the Web  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[64] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Knowledge and Data Engineering (TKDE)</em>.
        
            Vol. 22.
        
            No. 11.
        
                Pages 1577&#x2013;1592.
            November,
            2010.
        </p>
	
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		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[65] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Thomas Lukasiewicz&#x201a; Livia Predoiu and Heiner Stuckenschmidt  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal on Data Semantics</em>.
        
            Vol. 12.
        
                Pages 95&#x2212;130.
            2009.
        </p>
	
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					| <a href="http://dx.doi.org/10.1007/978-3-642-00685-2_4"> Link <span class="sr-only" > to <em> Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[66] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Description Logic Programs under Probabilistic Uncertainty and Fuzzy Vagueness </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Umberto Straccia  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        
            Vol. 50.
        
            No. 6.
        
                Pages 837&#x2013;853.
            June,
            2009.
        </p>
	
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					| <a href="http://dx.doi.org/10.1016/j.ijar.2009.03.004"> Link <span class="sr-only" > to <em> Description Logic Programs under Probabilistic Uncertainty and Fuzzy Vagueness  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[67] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty </strong> </p>
	    <p class="publicationAuthors"> <em> Luca Iocchi&#x201a; Thomas Lukasiewicz&#x201a; Daniele Nardi and Riccardo Rosati  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>ACM Transactions on Computational Logic (TOCL)</em>.
        
            Vol. 10.
        
            No. 1.
        
                Pages 5:1&#x2013;5:41.
            January,
            2009.
        </p>
	
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					| <a href="http://doi.acm.org/10.1145/1459010.1459015"> Link <span class="sr-only" > to <em> Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[68] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Managing Uncertainty and Vagueness in Description Logics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Umberto Straccia  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal of Web Semantics</em>.
        
            Vol. 6.
        
            No. 4.
        
                Pages 291&#x2212;308.
            November,
            2008.
        </p>
	
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[69] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Umberto Straccia  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal on Semantic Web and Information Systems</em>.
        
            Vol. 4.
        
            No. 3.
        
                Pages 68&#x2013;89.
            2008.
        </p>
	
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[70] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Description Logic Programs under Inheritance with Overriding for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        
            Vol. 49.
        
            No. 1.
        
                Pages 18&#x2013;34.
            September,
            2008.
        </p>
	
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					| <a href="http://dx.doi.org/10.1016/j.ijar.2007.08.005"> Link <span class="sr-only" > to <em> Probabilistic Description Logic Programs under Inheritance with Overriding for the Semantic Web  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[71] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Logical Approaches to Imprecise Probabilities </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        
            Vol. 49.
        
            No. 1.
        
                Pages 1&#x2013;2.
            September,
            2008.
        </p>
	
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					| <a href="http://dx.doi.org/10.1016/j.ijar.2007.08.004"> Link <span class="sr-only" > to <em> Logical Approaches to Imprecise Probabilities  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[72] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Fundamenta Informaticae</em>.
        
            Vol. 82.
        
            No. 3.
        
                Pages 289&#x2013;310.
            May,
            2008.
        </p>
	
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            		href="/publications/publication4647-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[73] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Expressive Probabilistic Description Logics </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 172.
        
            No. 6/7.
        
                Pages 852&#x2013;883.
            April,
            2008.
        </p>
	
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					| <a href="http://dx.doi.org/10.1016/j.artint.2007.10.017"> Link <span class="sr-only" > to <em> Expressive Probabilistic Description Logics  </em></span> </a>
  				
		
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			<div class="col-xs-1 text-right">
				[74] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Combining Answer Set Programming with Description Logics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter&#x201a; Giovambattista Ianni&#x201a; Thomas Lukasiewicz&#x201a; Roman Schindlauer and Hans Tompits  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 172.
        
            No. 12/13.
        
                Pages 1495&#x2013;1539.
            August,
            2008.
        </p> <p
            class="publicationNote"> <font color="red">A&#x0132; Prominent Paper Award 2013</font></p>
	
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				[75] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Using Search Strategies and a Description Logic Paradigm with Conditional Preferences for Literature Search </strong> </p>
	    <p class="publicationAuthors"> <em> J&#xf6;rg Schellhase and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Metadata&#x201a; Semantics and Ontologies</em>.
        
            Vol. 3.
        
            No. 1.
        
                Pages 68&#x2013;83.
            2008.
        </p>
	
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					| <a href="http://dx.doi.org/10.1504/IJMSO.2008.021206"> Link <span class="sr-only" > to <em> Using Search Strategies and a Description Logic Paradigm with Conditional Preferences for Literature Search  </em></span> </a>
  				
		
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				[76] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Variable&#x2212;Strength Conditional Preferences for Ranking Objects in Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and J&#xf6;rg Schellhase  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal of Web Semantics</em>.
        
            Vol. 5.
        
            No. 3.
        
                Pages 180&#x2013;194.
            September,
            2007.
        </p>
	
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				[77] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Description Logic Programs </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        
            Vol. 45.
        
            No. 2.
        
                Pages 288&#x2013;307.
            July,
            2007.
        </p>
	
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					| <a href="http://dx.doi.org/10.1016/j.ijar.2006.06.012"> Link <span class="sr-only" > to <em> Probabilistic Description Logic Programs  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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				[78] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Nonmonotonic Probabilistic Logics under Variable&#x2212;Strength Inheritance with Overriding: Complexity&#x201a; Algorithms&#x201a; and Implementation </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        
            Vol. 44.
        
            No. 3.
        
                Pages 301&#x2013;321.
            March,
            2007.
        </p>
	
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					| <a href="http://dx.doi.org/10.1016/j.ijar.2006.07.015"> Link <span class="sr-only" > to <em> Nonmonotonic Probabilistic Logics under Variable&#x2212;Strength Inheritance with Overriding: Complexity&#x201a; Algorithms&#x201a; and Implementation  </em></span> </a>
  				
		
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				[79] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Reasoning with Imprecise Probabilities </strong> </p>
	    <p class="publicationAuthors"> <em> Andr&#xe9;s Cano&#x201a; Fabio Gagliardi Cozman and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        
            Vol. 44.
        
            No. 3.
        
                Pages 197&#x2013;199.
            March,
            2007.
        </p>
	
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					| <a href="http://dx.doi.org/10.1016/j.ijar.2006.09.001"> Link <span class="sr-only" > to <em> Reasoning with Imprecise Probabilities  </em></span> </a>
  				
		
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				[80] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Causes and Explanations in the Structural&#x2212;Model Approach: Tractable Cases </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 170.
        
            No. 6/7.
        
                Pages 542&#x2013;580.
            May,
            2006.
        </p>
	
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					| <a href="http://dx.doi.org/10.1016/j.artint.2005.12.003"> Link <span class="sr-only" > to <em> Causes and Explanations in the Structural&#x2212;Model Approach: Tractable Cases  </em></span> </a>
  				
		
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				[81] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Nonmonotonic Probabilistic Reasoning under Variable&#x2212;Strength Inheritance with Overriding </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Synthese</em>.
        
            Vol. 146.
        
            No. 1/2.
        
                Pages 153&#x2013;169.
            2005.
        </p>
	
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				[82] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Weak Nonmonotonic Probabilistic Logics </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 168.
        
            No. 1/2.
        
                Pages 119&#x2013;161.
            October,
            2005.
        </p>
	
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				[83] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Logic under Coherence: Complexity and Algorithms </strong> </p>
	    <p class="publicationAuthors"> <em> Veronica Biazzo&#x201a; Angelo Gilio&#x201a; Thomas Lukasiewicz and Giuseppe Sanfilippo  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Annals of Mathematics and Artificial Intelligence</em>.
        
            Vol. 45.
        
            No. 1/2.
        
                Pages 35&#x2013;81.
            October,
            2005.
        </p>
	
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				[84] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity Results for Explanations in the Structural&#x2212;Model Approach </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 154.
        
            No. 1/2.
        
                Pages 145&#x2013;198.
            April,
            2004.
        </p>
	
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				[85] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Combining Probabilistic Logic Programming with the Power of Maximum Entropy </strong> </p>
	    <p class="publicationAuthors"> <em> Gabriele Kern&#x2212;Isberner and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 157.
        
            No. 1/2.
        
                Pages 139&#x2013;202.
            August,
            2004.
        </p>
	
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				[86] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Issues in Uncertainty in AI </strong> </p>
	    <p class="publicationAuthors"> <em> Gabriele Kern&#x2212;Isberner&#x201a; Thomas Lukasiewicz and Emil Weydert  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Uncertainty&#x201a; Fuzziness and Knowledge&#x2212;Based Systems</em>.
        
            Vol. 11.
        
            No. supp02.
        
                Pages v&#x2212;vi.
            November,
            2003.
        </p>
	
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[87] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Temporal Probabilistic Object Bases </strong> </p>
	    <p class="publicationAuthors"> <em> Veronica Biazzo&#x201a; Rosalba Giugno&#x201a; Thomas Lukasiewicz and V. S. Subrahmanian  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>IEEE Transactions on Knowledge and Data Engineering (TKDE)</em>.
        
            Vol. 15.
        
            No. 4.
        
                Pages 921&#x2013;939.
            2003.
        </p>
	
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	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[88] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Logic under Coherence&#x201a; Model&#x2212;Theoretic Probabilistic Logic&#x201a; and Default Reasoning in System P </strong> </p>
	    <p class="publicationAuthors"> <em> Veronica Biazzo&#x201a; Angelo Gilio&#x201a; Thomas Lukasiewicz and Giuseppe Sanfilippo  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal of Applied Non&#x2212;Classical Logics</em>.
        
            Vol. 12.
        
            No. 2.
        
                Pages 189&#x2013;213.
            2002.
        </p>
	
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	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[89] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity Results for Structure&#x2212;Based Causality </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 142.
        
            No. 1.
        
                Pages 53&#x2013;89.
            November,
            2002.
        </p>
	
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		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[90] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Default Reasoning with Conditional Constraints </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Annals of Mathematics and Artificial Intelligence</em>.
        
            Vol. 34.
        
            No. 1&#x2013;3.
        
                Pages 35&#x2013;88.
            March,
            2002.
        </p>
	
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	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[91] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Data Model and Algebra for Probabilistic Complex Values </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter&#x201a; Thomas Lukasiewicz and Michael Walter  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Annals of Mathematics and Artificial Intelligence</em>.
        
            Vol. 33.
        
            No. 2&#x2013;4.
        
                Pages 205&#x2013;252.
            December,
            2001.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication4667-abstract.html">
			Details <span class="sr-only" > about <em> A Data Model and Algebra for Probabilistic Complex Values  </em></span> </a> |
			<a href="/publications/publication4667.bib">
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					| <a href="http://dx.doi.org/10.1023/A:1013121110704"> Link <span class="sr-only" > to <em> A Data Model and Algebra for Probabilistic Complex Values  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[92] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Object Bases </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter&#x201a; James J. Lu&#x201a; Thomas Lukasiewicz and V. S. Subrahmanian  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>ACM Transactions on Database Systems (TODS)</em>.
        
            Vol. 26.
        
            No. 3.
        
                Pages 264&#x2013;312.
            September,
            2001.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication4666-abstract.html">
			Details <span class="sr-only" > about <em> Probabilistic Object Bases  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Probabilistic Object Bases  </em></span>   </a>
			
			
					| <a href="http://doi.acm.org/10.1145/502030.502031"> Link <span class="sr-only" > to <em> Probabilistic Object Bases  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[93] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Logic Programming with Conditional Constraints </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>ACM Transactions on Computational Logic (TOCL)</em>.
        
            Vol. 2.
        
            No. 3.
        
                Pages 289&#x2013;339.
            July,
            2001.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication4665-abstract.html">
			Details <span class="sr-only" > about <em> Probabilistic Logic Programming with Conditional Constraints  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Probabilistic Logic Programming with Conditional Constraints  </em></span>   </a>
			
			
					| <a href="http://doi.acm.org/10.1145/377978.377983"> Link <span class="sr-only" > to <em> Probabilistic Logic Programming with Conditional Constraints  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[94] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Default Reasoning from Conditional Knowledge Bases: Complexity and Tractable Cases </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Artificial Intelligence</em>.
        
            Vol. 124.
        
            No. 2.
        
                Pages 169&#x2013;241.
            December,
            2000.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication4668-abstract.html">
			Details <span class="sr-only" > about <em> Default Reasoning from Conditional Knowledge Bases: Complexity and Tractable Cases  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1016/S0004-3702(00)00073-4"> Link <span class="sr-only" > to <em> Default Reasoning from Conditional Knowledge Bases: Complexity and Tractable Cases  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[95] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Deduction with Conditional Constraints over Basic Events </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>Journal of Artificial Intelligence Research (JAIR)</em>.
        
            Vol. 10.
        
                Pages 199&#x2013;241.
            April,
            1999.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication4670-abstract.html">
			Details <span class="sr-only" > about <em> Probabilistic Deduction with Conditional Constraints over Basic Events  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1613/jair.577"> Link <span class="sr-only" > to <em> Probabilistic Deduction with Conditional Constraints over Basic Events  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[96] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Local Probabilistic Deduction from Taxonomic and Probabilistic Knowledge&#x2212;Bases over Conjunctive Events </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>International Journal of Approximate Reasoning</em>.
        
            Vol. 21.
        
            No. 1.
        
                Pages 23&#x2013;61.
            May,
            1999.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication4669-abstract.html">
			Details <span class="sr-only" > about <em> Local Probabilistic Deduction from Taxonomic and Probabilistic Knowledge&#x2212;Bases over Conjunctive Events  </em></span> </a> |
			<a href="/publications/publication4669.bib">
			BibTeX  <span class="sr-only" > data for <em> Local Probabilistic Deduction from Taxonomic and Probabilistic Knowledge&#x2212;Bases over Conjunctive Events  </em></span>   </a>
			
			
					| <a href="http://dx.doi.org/10.1016/S0888-613X(99)00006-7"> Link <span class="sr-only" > to <em> Local Probabilistic Deduction from Taxonomic and Probabilistic Knowledge&#x2212;Bases over Conjunctive Events  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li></ul><h2>
      Conference papers
      </h2><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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			<div class="col-xs-1 text-right">
				[1] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Training Deep Predictive Coding Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Chang Qi&#x201a; Thomas Lukasiewicz and Tommaso Salvatori.  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the ICLR 2025 Workshop on New Frontiers in Associative Memories&#x201a; Singapore&#x201a; 27 April 2025</em>.
        February,
            2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16510-abstract.html">
			Details <span class="sr-only" > about <em> Training Deep Predictive Coding Networks  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Training Deep Predictive Coding Networks  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
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				[2] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction </strong> </p>
	    <p class="publicationAuthors"> <em> Zehua Cheng&#x201a; Di Yuan&#x201a; Wenhu Zhang and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the Winter Conference on Applications of Computer Vision (WACV)</em>.
        
                Pages 9378&#x2013;9387.
            February,
            2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16509-abstract.html">
			Details <span class="sr-only" > about <em> Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction  </em></span> </a> |
			<a href="/publications/publication16509.bib">
			BibTeX  <span class="sr-only" > data for <em> Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction  </em></span>   </a>
			
			
					| <a href="https://openaccess.thecvf.com/content/WACV2025/html/Cheng_Effective_and_Efficient_Medical_Image_Segmentation_with_Hierarchical_Context_Interaction_WACV_2025_paper.html"> Link <span class="sr-only" > to <em> Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[3] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Benchmarking Predictive Coding Networks &#x2013; Made Simple </strong> </p>
	    <p class="publicationAuthors"> <em> Luca Pinchetti&#x201a; Chang Qi&#x201a; Oleh Lokshyn&#x201a; Cornelius Emde&#x201a; Amine M'Charrak&#x201a; Mufeng Tang&#x201a; Simon Frieder&#x201a; Bayar Menzat&#x201a; Gaspard Oliviers&#x201a; Rafal Bogacz&#x201a; Thomas Lukasiewicz and Tommaso Salvatori  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 13th International Conference on Learning Representations&#x201a; ICLR 2025&#x201a; Singapore&#x201a; 24&#x2013;28 April 2025</em>.
        2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16489-abstract.html">
			Details <span class="sr-only" > about <em> Benchmarking Predictive Coding Networks &#x2013; Made Simple  </em></span> </a> |
			<a href="/publications/publication16489.bib">
			BibTeX  <span class="sr-only" > data for <em> Benchmarking Predictive Coding Networks &#x2013; Made Simple  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[4] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Towards Certification of Uncertainty Calibration under Adversarial Attacks </strong> </p>
	    <p class="publicationAuthors"> <em> Cornelius Emde&#x201a; Francesco Pinto&#x201a; Thomas Lukasiewicz&#x201a; Philip Torr and Adel Bibi  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 13th International Conference on Learning Representations&#x201a; ICLR 2025&#x201a; Singapore&#x201a; 24&#x2013;28 April 2025</em>.
        2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16488-abstract.html">
			Details <span class="sr-only" > about <em> Towards Certification of Uncertainty Calibration under Adversarial Attacks  </em></span> </a> |
			<a href="/publications/publication16488.bib">
			BibTeX  <span class="sr-only" > data for <em> Towards Certification of Uncertainty Calibration under Adversarial Attacks  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[5] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Shh&#x201a; don't say that! Domain Certification in LLMs </strong> </p>
	    <p class="publicationAuthors"> <em> Cornelius Emde&#x201a; Alasdair Paren&#x201a; Preetham Arvind&#x201a; Maxime Guillaume Kayser&#x201a; Tom Rainforth&#x201a; Thomas Lukasiewicz&#x201a; Philip Torr and Adel Bibi  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 13th International Conference on Learning Representations&#x201a; ICLR 2025&#x201a; Singapore&#x201a; 24&#x2013;28 April 2025</em>.
        2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16487-abstract.html">
			Details <span class="sr-only" > about <em> Shh&#x201a; don't say that! Domain Certification in LLMs  </em></span> </a> |
			<a href="/publications/publication16487.bib">
			BibTeX  <span class="sr-only" > data for <em> Shh&#x201a; don't say that! Domain Certification in LLMs  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[6] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Bad Predictive Coding Activation Functions </strong> </p>
	    <p class="publicationAuthors"> <em> Simon Frieder&#x201a; Luca Pinchetti and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            The Second Tiny Papers Track at ICLR 2024&#x201a; Tiny Papers @ ICLR 2024&#x201a; Vienna&#x201a; Austria&#x201a; May 11&#x201a; 2024</em>.
        OpenReview.net.
        2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16486-abstract.html">
			Details <span class="sr-only" > about <em> Bad Predictive Coding Activation Functions  </em></span> </a> |
			<a href="/publications/publication16486.bib">
			BibTeX  <span class="sr-only" > data for <em> Bad Predictive Coding Activation Functions  </em></span>   </a>
			
			
					| <a href="https://openreview.net/forum?id=5Vc1ACZ8eC"> Link <span class="sr-only" > to <em> Bad Predictive Coding Activation Functions  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[7] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            The IMO Small Challenge: Not&#x2212;Too&#x2212;Hard Olympiad Math Datasets for LLMs </strong> </p>
	    <p class="publicationAuthors"> <em> Simon Frieder&#x201a; Mirek Ols&#xe1;k&#x201a; Julius Berner and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            The Second Tiny Papers Track at ICLR 2024&#x201a; Tiny Papers @ ICLR 2024&#x201a; Vienna&#x201a; Austria&#x201a; May 11&#x201a; 2024</em>.
        OpenReview.net.
        2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16485-abstract.html">
			Details <span class="sr-only" > about <em> The IMO Small Challenge: Not&#x2212;Too&#x2212;Hard Olympiad Math Datasets for LLMs  </em></span> </a> |
			<a href="/publications/publication16485.bib">
			BibTeX  <span class="sr-only" > data for <em> The IMO Small Challenge: Not&#x2212;Too&#x2212;Hard Olympiad Math Datasets for LLMs  </em></span>   </a>
			
			
					| <a href="https://openreview.net/forum?id=HYuKXhgzjm"> Link <span class="sr-only" > to <em> The IMO Small Challenge: Not&#x2212;Too&#x2212;Hard Olympiad Math Datasets for LLMs  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[8] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            The Defeat of the Winograd Schema Challenge (Abstract Reprint) </strong> </p>
	    <p class="publicationAuthors"> <em> Vid Kocijan&#x201a; Ernest Davis&#x201a; Thomas Lukasiewicz&#x201a; Gary Marcus and Leora Morgenstern  </em> </p>
	
	<p class="publicationDetails"> 
            In Michael J. Wooldridge&#x201a; Jennifer G. Dy and Sriraam Natarajan, editors,
             
            <em>
            Thirty&#x2212;Eighth AAAI Conference on Artificial Intelligence&#x201a; AAAI 2024&#x201a; Thirty&#x2212;Sixth Conference on Innovative Applications of Artificial Intelligence&#x201a; IAAI 2024&#x201a; Fourteenth Symposium on Educational Advances in Artificial Intelligence&#x201a; EAAI 2014&#x201a; February 20&#x2212;27&#x201a; 2024&#x201a; Vancouver&#x201a; Canada</em>.
        
                Pages 22703.
            AAAI Press.
        2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16484-abstract.html">
			Details <span class="sr-only" > about <em> The Defeat of the Winograd Schema Challenge (Abstract Reprint)  </em></span> </a> |
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			 | <a
		href="http://dx.doi.org/10.1609/AAAI.V38I20.30603">
		DOI (10.1609/AAAI.V38I20.30603)
		</a> 
					| <a href="https://doi.org/10.1609/aaai.v38i20.30603"> Link <span class="sr-only" > to <em> The Defeat of the Winograd Schema Challenge (Abstract Reprint)  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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				[9] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Fool Me Once? Contrasting Vision&#x2212; and Language&#x2212;based Explanations in a Clinical Decision&#x2212;Support Setting </strong> </p>
	    <p class="publicationAuthors"> <em> Maxime Kayser&#x201a; Bayar Menzat&#x201a; Cornelius Emde&#x201a; Bogdan Bercean&#x201a; Bartlomiej W. Papiez&#x201a; Alex Novak&#x201a; Abdala Espinosa&#x201a; Susanne Gaube&#x201a; Thomas Lukasiewicz and Oana&#x2212;Maria Camburu  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing&#x201a; EMNLP 2024&#x201a; Miami&#x201a; Florida&#x201a; November 12&#x2212;16&#x201a; 2024</em>.
        November,
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16451-abstract.html">
			Details <span class="sr-only" > about <em> Fool Me Once? Contrasting Vision&#x2212; and Language&#x2212;based Explanations in a Clinical Decision&#x2212;Support Setting  </em></span> </a> |
			<a href="/publications/publication16451.bib">
			BibTeX  <span class="sr-only" > data for <em> Fool Me Once? Contrasting Vision&#x2212; and Language&#x2212;based Explanations in a Clinical Decision&#x2212;Support Setting  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
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				[10] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Predictive Coding beyond Correlations </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Salvatori&#x201a; Luca Pinchetti&#x201a; Amine M'Charrak&#x201a; Beren Millidge and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 41th International Conference on Machine Learning&#x201a; ICML 2024&#x201a; Vienna&#x201a; Austria&#x201a; 21&#x2212;27 July 2024</em>.
        2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16305-abstract.html">
			Details <span class="sr-only" > about <em> Predictive Coding beyond Correlations  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Predictive Coding beyond Correlations  </em></span>   </a>
			
			
		
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[11] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            PiShield: A NeSy Framework for Learning with Requirements </strong> </p>
	    <p class="publicationAuthors"> <em> Mihaela C&#x0103;t&#x0103;lina Stoian&#x201a; Alex Tatomir&#x201a; Eleonora Giunchiglia and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 33rd International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2024&#x201a; Demos&#x201a; Jeju Island&#x201a; South Korea&#x201a; August 3&#x2013;9&#x201a; 2024</em>.
        ijcai.org.
        August,
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16277-abstract.html">
			Details <span class="sr-only" > about <em> PiShield: A NeSy Framework for Learning with Requirements  </em></span> </a> |
			<a href="/publications/publication16277.bib">
			BibTeX  <span class="sr-only" > data for <em> PiShield: A NeSy Framework for Learning with Requirements  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
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				[12] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            The IMO Small Challenge: First IMO Dataset for LLMs </strong> </p>
	    <p class="publicationAuthors"> <em> Simon Frieder&#x201a; Mirek Ol&#x0161;&#xe1;k&#x201a; Julius Berner and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 12th International Conference on Learning Representations&#x201a; ICLR 2024&#x201a; Tiny Papers Track&#x201a; Vienna&#x201a; Austria&#x201a; 7&#x2013;11 May 2024</em>.
        May,
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16212-abstract.html">
			Details <span class="sr-only" > about <em> The IMO Small Challenge: First IMO Dataset for LLMs  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[13] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data </strong> </p>
	    <p class="publicationAuthors"> <em> Mihaela Catalina Stoian&#x201a; Salijona Dyrmishi&#x201a; Maxime Cordy&#x201a; Thomas Lukasiewicz and Eleonora Giunchiglia  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 12th International Conference on Learning Representations&#x201a; ICLR 2024&#x201a; Vienna&#x201a; Austria&#x201a; 7&#x2013;11 May 2024</em>.
        May,
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16188-abstract.html">
			Details <span class="sr-only" > about <em> How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[14] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Stable&#x201a; Fast&#x201a; and Fully Automatic Learning Algorithm for Predictive Coding Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Salvatori&#x201a; Yuhang Song&#x201a; Yordan Yordanov&#x201a; Beren Millidge&#x201a; Lei Sha&#x201a; Cornelius Emde&#x201a; Zhenghua Xu&#x201a; Rafal Bogacz and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 12th International Conference on Learning Representations&#x201a; ICLR 2024&#x201a; Vienna&#x201a; Austria&#x201a; 7&#x2013;11 May 2024</em>.
        May,
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16187-abstract.html">
			Details <span class="sr-only" > about <em> A Stable&#x201a; Fast&#x201a; and Fully Automatic Learning Algorithm for Predictive Coding Networks  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[15] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Louis Mahon and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 38th AAAI Conference on Artificial Intelligence&#x201a; AAAI 2024&#x201a; Vancouver&#x201a; BC&#x201a; Canada&#x201a; February 22 &#x2013; 25&#x201a; 2024</em>.
        AAAI Press.
        February,
            2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16100-abstract.html">
			Details <span class="sr-only" > about <em> Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[16] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Improving Language Models&#x2019; Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary </strong> </p>
	    <p class="publicationAuthors"> <em> Myeongjun Erik Jang and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing&#x201a; EMNLP 2023&#x201a; Singapore&#x201a; December 6&#x2212;10&#x201a; 2023</em>.
        Association for Computational Linguistics.
        December,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15930-abstract.html">
			Details <span class="sr-only" > about <em> Improving Language Models&#x2019; Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[17] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Consistency Analysis of ChatGPT </strong> </p>
	    <p class="publicationAuthors"> <em> Myeongjun Erik Jang and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing&#x201a; EMNLP 2023&#x201a; Singapore&#x201a; December 6&#x2212;10&#x201a; 2023</em>.
        Association for Computational Linguistics.
        December,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15929-abstract.html">
			Details <span class="sr-only" > about <em> Consistency Analysis of ChatGPT  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[18] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Mathematical Capabilities of ChatGPT </strong> </p>
	    <p class="publicationAuthors"> <em> Simon Frieder&#x201a; Luca Pinchetti&#x201a; Alexis Chevalier&#x201a; Ryan&#x2212;Rhys Griffiths&#x201a; Tommaso Salvatori&#x201a; Thomas Lukasiewicz&#x201a; Philipp Christian Petersen and Julius Berner  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 3&#x201a; NeurIPS Datasets and Benchmarks 2023&#x201a; December 2023</em>.
        December,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15919-abstract.html">
			Details <span class="sr-only" > about <em> Mathematical Capabilities of ChatGPT  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[19] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Associative Memories in the Feature Space </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Salvatori&#x201a; Beren Millidge&#x201a; Yuhang Song&#x201a; Rafal Bogacz and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 26th European Conference on Artificial Intelligence&#x201a; ECAI 2023&#x201a; Krak&#xf3;w&#x201a; Poland&#x201a; September 30 &#x2013; October 5&#x201a; 2023</em>.
        IOS Press.
        September,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15856-abstract.html">
			Details <span class="sr-only" > about <em> Associative Memories in the Feature Space  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[20] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Exploiting T&#x2212;norms for Deep Learning in Autonomous Driving </strong> </p>
	    <p class="publicationAuthors"> <em> Mihaela Catalina Stoian&#x201a; Eleonora Giunchiglia and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Artur S. d'Avila Garcez&#x201a; Tarek R. Besold&#x201a; Marco Gori and Ernesto Jim&#xe9;nez&#x2212;Ruiz, editors,
             
            <em>
            Proceedings of the 17th International Workshop on Neural&#x2212;Symbolic Learning and Reasoning&#x201a; NeSy 2023&#x201a; La Certosa di Pontignano&#x201a; Siena&#x201a; Italy&#x201a; 3&#x2013;5 July 2023</em>.
        
                Pages 369&#x2013;380.
            July,
            2023.
        </p>
	
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            		href="/publications/publication15845-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[21] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+/ under Preferred Repairs </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Enrico Malizia and Cristian Molinaro  </em> </p>
	
	<p class="publicationDetails"> 
            In Pierre Marquis and Tran Cao Son, editors,
             
            <em>
            Proceedings of 20th International Conference on Principles of Knowledge Representation and Reasoning&#x201a; KR 2023&#x201a; Rhodes&#x201a; Greece&#x201a; September 2&#x2212;8&#x201a; 2023</em>.
        AAAI Press.
        September,
            2023.
        </p>
	
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            		href="/publications/publication15819-abstract.html">
			Details <span class="sr-only" > about <em> Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+/ under Preferred Repairs  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[22] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations </strong> </p>
	    <p class="publicationAuthors"> <em> Myeongjun Jang&#x201a; Bodhisattwa Prasad Majumder&#x201a; Julian McAuley&#x201a; Thomas Lukasiewicz and Oana&#x2212;Maria Camburu  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics&#x201a; ACL 2023&#x201a; Toronto&#x201a; Canada&#x201a; July 9&#x2013;14&#x201a; 2023</em>.
        Association for Computational Linguistics.
        July,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15813-abstract.html">
			Details <span class="sr-only" > about <em> KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[23] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            An Empirical Analysis of Parameter&#x2212;Efficient Methods for Debiasing Pre&#x2212;Trained Language Models </strong> </p>
	    <p class="publicationAuthors"> <em> Zhongbin Xie and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics&#x201a; ACL 2023&#x201a; Toronto&#x201a; Canada&#x201a; July 9&#x2013;14&#x201a; 2023</em>.
        Association for Computational Linguistics.
        July,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15812-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[24] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Faithfulness Tests for Natural Language Explanations </strong> </p>
	    <p class="publicationAuthors"> <em> Pepa Atanasova&#x201a; Oana&#x2212;Maria Camburu&#x201a; Christina Lioma&#x201a; Thomas Lukasiewicz&#x201a; Jakob Grue Simonsen and Isabelle Augenstein  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics&#x201a; ACL 2023&#x201a; Toronto&#x201a; Canada&#x201a; July 9&#x2013;14&#x201a; 2023</em>.
        Association for Computational Linguistics.
        July,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15811-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[25] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            NP&#x2212;SemiSeg: When Neural Processes meet Semi&#x2212;Supervised Semantic Segmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Jianfeng Wang&#x201a; Daniela Massiceti&#x201a; Xiaolin Hu&#x201a; Vladimir Pavlovic and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 40th International Conference on Machine Learning&#x201a; ICML 2023&#x201a; Hawaii&#x201a; USA&#x201a; 23&#x2212;29 July 2023</em>.
        July,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15810-abstract.html">
			Details <span class="sr-only" > about <em> NP&#x2212;SemiSeg: When Neural Processes meet Semi&#x2212;Supervised Semantic Segmentation  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[26] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            MvCo&#x2212;DoT: Multi&#x2212;View Contrastive Domain Transfer Network for Medical Report Generation </strong> </p>
	    <p class="publicationAuthors"> <em> Ruizhi Wang&#x201a; Xiangtao Wang&#x201a; Zhenghua Xu&#x201a; Wenting Xu&#x201a; Junyang Chen and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the IEEE International Conference on Acoustics&#x201a; Speech and Signal Processing&#x201a; ICASSP 2023&#x201a; Rhodes Island&#x201a; Greece&#x201a; 4&#x2212;10 June 2023</em>.
        IEEE.
        2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15784-abstract.html">
			Details <span class="sr-only" > about <em> MvCo&#x2212;DoT: Multi&#x2212;View Contrastive Domain Transfer Network for Medical Report Generation  </em></span> </a> |
			<a href="/publications/publication15784.bib">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[27] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            MPS&#x2212;AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self&#x2212;Supervised Medical Image Segmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Xiangtao Wang&#x201a; Ruizhi Wang&#x201a; Tian Biao&#x201a; Jiaojiao Zhang&#x201a; Shuo Zhang&#x201a; Junyang Chen&#x201a; Thomas Lukasiewicz and Zhenghua Xu  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the IEEE International Conference on Acoustics&#x201a; Speech and Signal Processing&#x201a; ICASSP 2023&#x201a; Rhodes Island&#x201a; Greece&#x201a; 4&#x2212;10 June 2023</em>.
        IEEE.
        2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15783-abstract.html">
			Details <span class="sr-only" > about <em> MPS&#x2212;AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self&#x2212;Supervised Medical Image Segmentation  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> MPS&#x2212;AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self&#x2212;Supervised Medical Image Segmentation  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[28] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Multi&#x2212;Head Feature Pyramid Networks for Breast Mass Detection </strong> </p>
	    <p class="publicationAuthors"> <em> Hexiang Zhang&#x201a; Zhenghua Xu&#x201a; Dan Yao&#x201a; Shuo Zhang&#x201a; Junyang Chen and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the IEEE International Conference on Acoustics&#x201a; Speech and Signal Processing&#x201a; ICASSP 2023&#x201a; Rhodes Island&#x201a; Greece&#x201a; 4&#x2212;10 June 2023</em>.
        IEEE.
        2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15782-abstract.html">
			Details <span class="sr-only" > about <em> Multi&#x2212;Head Feature Pyramid Networks for Breast Mass Detection  </em></span> </a> |
			<a href="/publications/publication15782.bib">
			BibTeX  <span class="sr-only" > data for <em> Multi&#x2212;Head Feature Pyramid Networks for Breast Mass Detection  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[29] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Adaptive&#x2212;Masking Policy with Deep Reinforcement Learning for Self&#x2212;Supervised Medical Image Segmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Gang Xu&#x201a; Shengxin Wang&#x201a; Thomas Lukasiewicz and Zhenghua Xu  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the IEEE International Conference on Multimedia and Expo&#x201a; ICME 2023&#x201a; Brisbane&#x201a; Australia&#x201a; July 10&#x2212;14&#x201a; 2023</em>.
        IEEE.
        2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15781-abstract.html">
			Details <span class="sr-only" > about <em> Adaptive&#x2212;Masking Policy with Deep Reinforcement Learning for Self&#x2212;Supervised Medical Image Segmentation  </em></span> </a> |
			<a href="/publications/publication15781.bib">
			BibTeX  <span class="sr-only" > data for <em> Adaptive&#x2212;Masking Policy with Deep Reinforcement Learning for Self&#x2212;Supervised Medical Image Segmentation  </em></span>   </a>
			
			
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[30] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Counter&#x2212;GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns </strong> </p>
	    <p class="publicationAuthors"> <em> Zhongbin Xie&#x201a; Vid Kocijan&#x201a; Thomas Lukasiewicz and Oana&#x2212;Maria Camburu  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics&#x201a; EACL 2023&#x201a; Dubrovnik&#x201a; Croatia&#x201a; 2&#x2013;6 May 2023</em>.
        
                Pages 3761&#x2013;3773.
            Association for Computational Linguistics.
        May,
            2023.
        </p>
	
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            		href="/publications/publication15708-abstract.html">
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					| <a href="https://aclanthology.org/2023.eacl-main.272/"> Link <span class="sr-only" > to <em> Counter&#x2212;GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns  </em></span> </a>
  				
		
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			<div class="col-xs-1 text-right">
				[31] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Backpropagation at the Infinitesimal Inference Limit of Energy&#x2212;Based Models: Unifying Predictive Coding&#x201a; Equilibrium Propagation&#x201a; and Contrastive Hebbian Learning </strong> </p>
	    <p class="publicationAuthors"> <em> Beren Millidge&#x201a; Yuhang Song&#x201a; Tommaso Salvatori&#x201a; Thomas Lukasiewicz and Rafal Bogacz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 11th International Conference on Learning Representations&#x201a; ICLR 2023&#x201a; Kigali&#x201a; Rwanda&#x201a; 1&#x2013;5 May 2023</em>.
        OpenReview.net.
        May,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15707-abstract.html">
			Details <span class="sr-only" > about <em> Backpropagation at the Infinitesimal Inference Limit of Energy&#x2212;Based Models: Unifying Predictive Coding&#x201a; Equilibrium Propagation&#x201a; and Contrastive Hebbian Learning  </em></span> </a> |
			<a href="/publications/publication15707.bib">
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					| <a href="https://openreview.net/forum?id=nIMifqu2EO"> Link <span class="sr-only" > to <em> Backpropagation at the Infinitesimal Inference Limit of Energy&#x2212;Based Models: Unifying Predictive Coding&#x201a; Equilibrium Propagation&#x201a; and Contrastive Hebbian Learning  </em></span> </a>
  				
		
		</div> 
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			<div class="col-xs-1 text-right">
				[32] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Theoretical Framework for Inference and Learning in Predictive Coding Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Beren Millidge&#x201a; Yuhang Song&#x201a; Tommaso Salvatori&#x201a; Thomas Lukasiewicz and Rafal Bogacz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 11th International Conference on Learning Representations&#x201a; ICLR 2023&#x201a; Kigali&#x201a; Rwanda&#x201a; 1&#x2013;5 May 2023</em>.
        OpenReview.net.
        May,
            2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15706-abstract.html">
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			<div class="col-xs-1 text-right">
				[33] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports </strong> </p>
	    <p class="publicationAuthors"> <em> Zehua Cheng&#x201a; Lianlong Wu&#x201a; Thomas Lukasiewicz&#x201a; Emanuel Sallinger and Georg Gottlob  </em> </p>
	
	<p class="publicationDetails"> 
            In Maya Ramanath and Themis Palpanas, editors,
             
            <em>
            Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference&#x201a; Edinburgh&#x201a; UK&#x201a; March 29&#x201a; 2022</em>.
        
            Vol. 3135
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2022.
        </p>
	
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            		href="/publications/publication15643-abstract.html">
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					| <a href="http://ceur-ws.org/Vol-3135/EcoFinKG\_2022\_paper5.pdf"> Download (pdf)  <span class="sr-only" > of <em> Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports  </em></span>   </a>
  				
		
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			<div class="col-xs-1 text-right">
				[34] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Query Answer Explanations under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz&#x201a; Enrico Malizia and Andrius Vaicenavicius  </em> </p>
	
	<p class="publicationDetails"> 
            In Giuseppe Amato&#x201a; Valentina Bartalesi&#x201a; Devis Bianchini&#x201a; Claudio Gennaro and Riccardo Torlone, editors,
             
            <em>
            Proceedings of the 30th Italian Symposium on Advanced Database Systems&#x201a; SEBD 2022&#x201a; Tirrenia (PI)&#x201a; Italy&#x201a; June 19&#x2212;22&#x201a; 2022</em>.
        
            Vol. 3194
                of CEUR Workshop Proceedings.
        
                Pages 481&#x2013;488.
            CEUR&#x2212;WS.org.
        2022.
        </p>
	
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            		href="/publications/publication15642-abstract.html">
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[35] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Explanations for Inconsistency&#x2212;Tolerant Query Answering under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Enrico Malizia and Cristian Molinaro  </em> </p>
	
	<p class="publicationDetails"> 
            In Giuseppe Amato&#x201a; Valentina Bartalesi&#x201a; Devis Bianchini&#x201a; Claudio Gennaro and Riccardo Torlone, editors,
             
            <em>
            Proceedings of the 30th Italian Symposium on Advanced Database Systems&#x201a; SEBD 2022&#x201a; Tirrenia (PI)&#x201a; Italy&#x201a; June 19&#x2212;22&#x201a; 2022</em>.
        
            Vol. 3194
                of CEUR Workshop Proceedings.
        
                Pages 489&#x2013;496.
            CEUR&#x2212;WS.org.
        2022.
        </p>
	
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            		href="/publications/publication15641-abstract.html">
			Details <span class="sr-only" > about <em> Explanations for Inconsistency&#x2212;Tolerant Query Answering under Existential Rules  </em></span> </a> |
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[36] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+/ under Cardinality&#x2212;Based Repairs </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Enrico Malizia and Andrius Vaicenavicius  </em> </p>
	
	<p class="publicationDetails"> 
            In Giuseppe Amato&#x201a; Valentina Bartalesi&#x201a; Devis Bianchini&#x201a; Claudio Gennaro and Riccardo Torlone, editors,
             
            <em>
            Proceedings of the 30th Italian Symposium on Advanced Database Systems&#x201a; SEBD 2022&#x201a; Tirrenia (PI)&#x201a; Italy&#x201a; June 19&#x2212;22&#x201a; 2022</em>.
        
            Vol. 3194
                of CEUR Workshop Proceedings.
        
                Pages 530&#x2013;537.
            CEUR&#x2212;WS.org.
        2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15640-abstract.html">
			Details <span class="sr-only" > about <em> Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+/ under Cardinality&#x2212;Based Repairs  </em></span> </a> |
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		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[37] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Learning to Model Multimodal Semantic Alignment for Story Visualization </strong> </p>
	    <p class="publicationAuthors"> <em> Bowen Li and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Findings of EMNLP 2022</em>.
        
                Pages 4712&#x2013;4718.
            Association for Computational Linguistics.
        December,
            2022.
        </p>
	
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            		href="/publications/publication15360-abstract.html">
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					| <a href="https://aclanthology.org/2022.findings-emnlp.346"> Link <span class="sr-only" > to <em> Learning to Model Multimodal Semantic Alignment for Story Visualization  </em></span> </a>
  				
		
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	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[38] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Few&#x2212;Shot Out&#x2212;of&#x2212;Domain Transfer Learning of Natural Language Explanations in a Label&#x2212;Abundant Setup </strong> </p>
	    <p class="publicationAuthors"> <em> Yordan Yordanov&#x201a; Vid Kocijan&#x201a; Thomas Lukasiewicz and Oana&#x2212;Maria Camburu  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Findings of EMNLP 2022</em>.
        
                Pages 3486&#x2013;3501.
            Association for Computational Linguistics.
        December,
            2022.
        </p>
	
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            		href="/publications/publication15359-abstract.html">
			Details <span class="sr-only" > about <em> Few&#x2212;Shot Out&#x2212;of&#x2212;Domain Transfer Learning of Natural Language Explanations in a Label&#x2212;Abundant Setup  </em></span> </a> |
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					| <a href="https://aclanthology.org/2022.findings-emnlp.255"> Link <span class="sr-only" > to <em> Few&#x2212;Shot Out&#x2212;of&#x2212;Domain Transfer Learning of Natural Language Explanations in a Label&#x2212;Abundant Setup  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[39] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction </strong> </p>
	    <p class="publicationAuthors"> <em> Frank Mtumbuka and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing&#x201a; EMNLP 2022&#x201a; Online and in Abu Dhabi&#x201a; December 7&#x2013;11&#x201a; 2021</em>.
        
                Pages 5972&#x2013;5987.
            Association for Computational Linguistics.
        December,
            2022.
        </p>
	
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            		href="/publications/publication15358-abstract.html">
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					| <a href="https://aclanthology.org/2022.emnlp-main.401"> Link <span class="sr-only" > to <em> Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction  </em></span> </a>
  				
		
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[40] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Image&#x2212;to&#x2212;Image Translation with Text Guidance </strong> </p>
	    <p class="publicationAuthors"> <em> Bowen Li&#x201a; Philip Torr and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 33rd British Machine Vision Conference 2022&#x201a; BMVC 2022&#x201a; London&#x201a; UK&#x201a; November 21&#x2212;24&#x201a; 2022</em>.
        
                Pages 581.
            November,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15356-abstract.html">
			Details <span class="sr-only" > about <em> Image&#x2212;to&#x2212;Image Translation with Text Guidance  </em></span> </a> |
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					| <a href="https://bmvc2022.mpi-inf.mpg.de/581/"> Link <span class="sr-only" > to <em> Image&#x2212;to&#x2212;Image Translation with Text Guidance  </em></span> </a>
  				
		
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[41] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Memory&#x2212;Driven Text&#x2212;to&#x2212;Image Generation </strong> </p>
	    <p class="publicationAuthors"> <em> Bowen Li&#x201a; Philip Torr and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 33rd British Machine Vision Conference 2022&#x201a; BMVC 2022&#x201a; London&#x201a; UK&#x201a; November 21&#x2212;24&#x201a; 2022</em>.
        
                Pages 726.
            November,
            2022.
        </p>
	
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            		href="/publications/publication15355-abstract.html">
			Details <span class="sr-only" > about <em> Memory&#x2212;Driven Text&#x2212;to&#x2212;Image Generation  </em></span> </a> |
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					| <a href="https://bmvc2022.mpi-inf.mpg.de/726/"> Link <span class="sr-only" > to <em> Memory&#x2212;Driven Text&#x2212;to&#x2212;Image Generation  </em></span> </a>
  				
		
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			<div class="col-xs-1 text-right">
				[42] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Learning on Arbitrary Graph Topologies via Predictive Coding </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Salvatori&#x201a; Luca Pinchetti&#x201a; Beren Millidge&#x201a; Yuhang Song&#x201a; Tianyi Bao&#x201a; Rafal Bogacz and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 36th Annual Conference on Neural Information Processing Systems&#x201a; NeurIPS 2022&#x201a; New Orleans&#x201a; Louisiana&#x201a; USA</em>.
        
                Pages 38232&#x2013;38244.
            November,
            2022.
        </p>
	
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            		href="/publications/publication15279-abstract.html">
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			<div class="col-xs-1 text-right">
				[43] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Predictive Coding Beyond Gaussian Distributions </strong> </p>
	    <p class="publicationAuthors"> <em> Luca Pinchetti&#x201a; Tommaso Salvatori&#x201a; Yordan Yordanov&#x201a; Beren Millidge&#x201a; Yuhang Song and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 36th Annual Conference on Neural Information Processing Systems&#x201a; NeurIPS 2022&#x201a; New Orleans&#x201a; Louisiana&#x201a; USA</em>.
        
                Pages 1280&#x2013;1293.
            November,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15278-abstract.html">
			Details <span class="sr-only" > about <em> Predictive Coding Beyond Gaussian Distributions  </em></span> </a> |
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			<div class="col-xs-1 text-right">
				[44] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Efficient Deep Clustering of Human Activities and How to Improve Evaluation </strong> </p>
	    <p class="publicationAuthors"> <em> Louis Mahon and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Emtiyaz Khan and Mehmet Gonen, editors,
             
            <em>
            Proceedings of the 14th Asian Conference on Machine Learning&#x201a; ACML 2022&#x201a; Hyderabad&#x201a; India&#x201a; 12&#x2013;14 December 2022</em>.
        
            Vol. 189
                of Proceedings of Machine Learning Research.
        
                Pages 722&#x2013;737.
            PMLR.
        December,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication15277-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[45] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            BECEL: Benchmark for Consistency Evaluation of Language Models </strong> </p>
	    <p class="publicationAuthors"> <em> Myeongjun Jang&#x201a; Deuk Sin Kwon and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 29th International Conference on Computational Linguistics&#x201a; COLING 2022&#x201a; Gyeongju&#x201a; Republic of Korea&#x201a; October 2022</em>.
        
                Pages 3680&#x2013;3696.
            International Committee on Computational Linguistics.
        October,
            2022.
        </p>
	
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            		href="/publications/publication14945-abstract.html">
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					| <a href="https://aclanthology.org/2022.coling-1.324/"> Link <span class="sr-only" > to <em> BECEL: Benchmark for Consistency Evaluation of Language Models  </em></span> </a>
  				
		
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			<div class="col-xs-1 text-right">
				[46] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Clustering Generative Adversarial Networks for Story Visualization </strong> </p>
	    <p class="publicationAuthors"> <em> Bowen Li&#x201a; Philip Torr and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 30th ACM Multimedia Conference&#x201a; ACM MM 2022&#x201a; Lisbon&#x201a; Portugal&#x201a; 10&#x2013;14 October</em>.
        
                Pages 769&#x2013;778.
            ACM Press.
        October,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14905-abstract.html">
			Details <span class="sr-only" > about <em> Clustering Generative Adversarial Networks for Story Visualization  </em></span> </a> |
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					| <a href="https://doi.org/10.1145/3503161.3548034"> Link <span class="sr-only" > to <em> Clustering Generative Adversarial Networks for Story Visualization  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[47] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Explaining Chest X&#x2212;ray Pathologies in Natural Language </strong> </p>
	    <p class="publicationAuthors"> <em> Maxime Kayser&#x201a; Cornelius Emde&#x201a; Oana Camburu&#x201a; Guy Parsons&#x201a; Bartlomiej Papiez and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Linwei Wang&#x201a; Qi Dou&#x201a; P. Thomas Fletcher&#x201a; Stefanie Speidel and Shuo Li, editors,
             
            <em>
            Proceedings of the 25th International Conference on Medical Image Computing and Computer&#x2212;Assisted Intervention&#x201a; MICCAI 2022&#x201a; Singapore&#x201a; 18&#x2013;22 September 2022</em>.
        
            Vol. 13435
                of Lecture Notes in Computer Science (LNCS).
        
                Pages 701&#x2013;713.
            Springer.
        September,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14904-abstract.html">
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					| <a href="https://doi.org/10.1007/978-3-031-16443-9_67"> Link <span class="sr-only" > to <em> Explaining Chest X&#x2212;ray Pathologies in Natural Language  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[48] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Knowledge&#x2212;Grounded Self&#x2212;Rationalization via Extractive and Natural Language Explanations </strong> </p>
	    <p class="publicationAuthors"> <em> Bodhisattwa Prasad Majumder&#x201a; Oana&#x2212;Maria Camburu&#x201a; Thomas Lukasiewicz and Julian McAuley  </em> </p>
	
	<p class="publicationDetails"> 
            In Kamalika Chaudhuri&#x201a; Stefanie Jegelka&#x201a; Le Song&#x201a; Csaba Szepesvari&#x201a; Gang Niu and Sivan Sabato, editors,
             
            <em>
            Proceedings of the 39th International Conference on Machine Learning&#x201a; ICML 2022&#x201a; Baltimore&#x201a; Maryland&#x201a; USA&#x201a; 17&#x2212;23 July 2022</em>.
        
            Vol. 162
                of Proceedings of Machine Learning Research.
        
                Pages 14786&#x2013;14801.
            PMLR.
        July,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14881-abstract.html">
			Details <span class="sr-only" > about <em> Knowledge&#x2212;Grounded Self&#x2212;Rationalization via Extractive and Natural Language Explanations  </em></span> </a> |
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					| <a href="https://proceedings.mlr.press/v162/majumder22a.html"> Link <span class="sr-only" > to <em> Knowledge&#x2212;Grounded Self&#x2212;Rationalization via Extractive and Natural Language Explanations  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[49] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            (Non&#x2212;)Convergence Results for Predictive Coding Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Simon Frieder and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Kamalika Chaudhuri&#x201a; Stefanie Jegelka&#x201a; Le Song&#x201a; Csaba Szepesvari&#x201a; Gang Niu and Sivan Sabato, editors,
             
            <em>
            Proceedings of the 39th International Conference on Machine Learning&#x201a; ICML 2022&#x201a; Baltimore&#x201a; Maryland&#x201a; USA&#x201a; 17&#x2212;23 July 2022</em>.
        
            Vol. 162
                of Proceedings of Machine Learning Research.
        
                Pages 6793&#x2013;6810.
            PMLR.
        July,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14880-abstract.html">
			Details <span class="sr-only" > about <em> (Non&#x2212;)Convergence Results for Predictive Coding Networks  </em></span> </a> |
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					| <a href="https://proceedings.mlr.press/v162/frieder22a.html"> Link <span class="sr-only" > to <em> (Non&#x2212;)Convergence Results for Predictive Coding Networks  </em></span> </a>
  				
		
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[50] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Universal Hopfield Networks: A General Framework for Single&#x2212;Shot Associative Memory Models </strong> </p>
	    <p class="publicationAuthors"> <em> Beren Millidge&#x201a; Tommaso Salvatori&#x201a; Yuhang Song&#x201a; Thomas Lukasiewicz and Rafal Bogacz  </em> </p>
	
	<p class="publicationDetails"> 
            In Kamalika Chaudhuri&#x201a; Stefanie Jegelka&#x201a; Le Song&#x201a; Csaba Szepesvari&#x201a; Gang Niu and Sivan Sabato, editors,
             
            <em>
            Proceedings of the 39th International Conference on Machine Learning&#x201a; ICML 2022&#x201a; Baltimore&#x201a; Maryland&#x201a; USA&#x201a; 17&#x2212;23 July 2022</em>.
        
            Vol. 162
                of Proceedings of Machine Learning Research.
        
                Pages 15561&#x2013;15583.
            PMLR.
        July,
            2022.
        </p>
	
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            		href="/publications/publication14879-abstract.html">
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	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[51] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            NP&#x2212;Match: When Neural Processes meet Semi&#x2212;Supervised Learning </strong> </p>
	    <p class="publicationAuthors"> <em> Jianfeng Wang&#x201a; Thomas Lukasiewicz&#x201a; Daniela Massiceti&#x201a; Xiaolin Hu&#x201a; Vladimir Pavlovic and Alexandros Neophytou  </em> </p>
	
	<p class="publicationDetails"> 
            In Kamalika Chaudhuri&#x201a; Stefanie Jegelka&#x201a; Le Song&#x201a; Csaba Szepesvari&#x201a; Gang Niu and Sivan Sabato, editors,
             
            <em>
            Proceedings of the 39th International Conference on Machine Learning&#x201a; ICML 2022&#x201a; Baltimore&#x201a; Maryland&#x201a; USA&#x201a; 17&#x2212;23 July 2022</em>.
        
            Vol. 162
                of Proceedings of Machine Learning Research.
        PMLR.
        July,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14878-abstract.html">
			Details <span class="sr-only" > about <em> NP&#x2212;Match: When Neural Processes meet Semi&#x2212;Supervised Learning  </em></span> </a> |
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					| <a href="https://proceedings.mlr.press/v162/wang22s.html"> Link <span class="sr-only" > to <em> NP&#x2212;Match: When Neural Processes meet Semi&#x2212;Supervised Learning  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[52] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Explanations for Negative Query Answers under Inconsistency&#x2212;Tolerant Semantics </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Enrico Malizia and Cristian Molinaro  </em> </p>
	
	<p class="publicationDetails"> 
            In Luc De Raedt, editor,
             
            <em>
            Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence&#x201a; IJCAI&#x2212;ECAI 2022&#x201a; Vienna&#x201a; Austria&#x201a; July 23&#x2212;29&#x201a; 2022</em>.
        
                Pages 2705&#x2013;2711.
            IJCAI/AAAI Press.
        July,
            2022.
        </p>
	
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            		href="/publications/publication14862-abstract.html">
			Details <span class="sr-only" > about <em> Explanations for Negative Query Answers under Inconsistency&#x2212;Tolerant Semantics  </em></span> </a> |
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					| <a href="https://doi.org/10.24963/ijcai.2022/375"> Link <span class="sr-only" > to <em> Explanations for Negative Query Answers under Inconsistency&#x2212;Tolerant Semantics  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[53] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Beyond Distributional Hypothesis: Let Language Models Learn Meaning&#x2212;Text Correspondence </strong> </p>
	    <p class="publicationAuthors"> <em> Myeongjun Jang&#x201a; Frank Martin Mtumbuka and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Findings of NAACL 2022&#x201a; Seattle&#x201a; Washington&#x201a; USA&#x201a; July 2022</em>.
        
                Pages 2030&#x2013;2042.
            Association for Computational Linguistics.
        July,
            2022.
        </p>
	
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            		href="/publications/publication14848-abstract.html">
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					| <a href="http://dx.doi.org/10.18653/v1/2022.findings-naacl.156"> Link <span class="sr-only" > to <em> Beyond Distributional Hypothesis: Let Language Models Learn Meaning&#x2212;Text Correspondence  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[54] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Rethinking Bayesian Deep Learning Methods for Semi&#x2212;Supervised Volumetric Medical Image Segmentation </strong> </p>
	    <p class="publicationAuthors"> <em> Jianfeng Wang and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition&#x201a; CVPR 2022&#x201a; New Orleans&#x201a; Louisiana&#x201a; USA&#x201a; June 19&#x2013;24&#x201a; 2022</em>.
        
                Pages 182&#x2013;190.
            June,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14847-abstract.html">
			Details <span class="sr-only" > about <em> Rethinking Bayesian Deep Learning Methods for Semi&#x2212;Supervised Volumetric Medical Image Segmentation  </em></span> </a> |
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					| <a href="https://doi.org/10.1109/CVPR52688.2022.00028"> Link <span class="sr-only" > to <em> Rethinking Bayesian Deep Learning Methods for Semi&#x2212;Supervised Volumetric Medical Image Segmentation  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[55] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation? </strong> </p>
	    <p class="publicationAuthors"> <em> Beren Millidge&#x201a; Tommaso Salvatori&#x201a; Yuhang Song&#x201a; Rafal Bogacz and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Luc De Raedt, editor,
             
            <em>
            Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence&#x201a; IJCAI&#x2212;ECAI 2022&#x201a; Survey Track&#x201a; Vienna&#x201a; Austria&#x201a; July 23&#x2212;29&#x201a; 2022</em>.
        
                Pages 5538&#x2013;5545.
            IJCAI/AAAI Press.
        July,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14846-abstract.html">
			Details <span class="sr-only" > about <em> Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation?  </em></span> </a> |
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					| <a href="https://doi.org/10.24963/ijcai.2022/774"> Link <span class="sr-only" > to <em> Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation?  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[56] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Deep Learning with Logical Constraints </strong> </p>
	    <p class="publicationAuthors"> <em> Eleonora Giunchiglia&#x201a; Mihaela Catalina Stoian and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Luc De Raedt, editor,
             
            <em>
            Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence&#x201a; IJCAI&#x2212;ECAI 2022&#x201a; Survey Track&#x201a; Vienna&#x201a; Austria&#x201a; July 23&#x2212;29&#x201a; 2022</em>.
        
                Pages 5478&#x2013;5485.
            IJCAI/AAAI Press.
        July,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14845-abstract.html">
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					| <a href="https://doi.org/10.24963/ijcai.2022/767"> Link <span class="sr-only" > to <em> Deep Learning with Logical Constraints  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[57] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Reverse Differentiation via Predictive Coding </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Salvatori&#x201a; Yuhang Song&#x201a; Zhenghua Xu&#x201a; Thomas Lukasiewicz and Rafal Bogacz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 36th AAAI Conference on Artificial Intelligence&#x201a; AAAI 2022&#x201a; Vancouver&#x201a; BC&#x201a; Canada&#x201a; February 22 &#x2013; March 1&#x201a; 2022</em>.
        
                Pages 8150&#x2013;8158.
            AAAI Press.
        February,
            2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14772-abstract.html">
			Details <span class="sr-only" > about <em> Reverse Differentiation via Predictive Coding  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Reverse Differentiation via Predictive Coding  </em></span>   </a>
			
			
					| <a href="https://doi.org/10.1609/aaai.v36i7.20788"> Link <span class="sr-only" > to <em> Reverse Differentiation via Predictive Coding  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[58] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Associative Memories via Predictive Coding </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Salvatori&#x201a; Yuhang Song&#x201a; Yujian Hong&#x201a; Simon Frieder&#x201a; Lei Sha&#x201a; Zhenghua Xu&#x201a; Rafal Bogacz and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 35th Annual Conference on Neural Information Processing Systems&#x201a; NeurIPS 2021</em>.
        December,
            2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14661-abstract.html">
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					| <a href="https://arxiv.org/abs/2109.08063"> Link <span class="sr-only" > to <em> Associative Memories via Predictive Coding  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[59] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Knowledge Base Completion Meets Transfer Learning </strong> </p>
	    <p class="publicationAuthors"> <em> Vid Kocijan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing&#x201a; EMNLP 2021&#x201a; Online and in the Barcel&#xf3; B&#xe1;varo Convention Centre&#x201a; Punta Cana&#x201a; Dominican Republic&#x201a; November 7&#x2013;11&#x201a; 2021</em>.
        November,
            2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14657-abstract.html">
			Details <span class="sr-only" > about <em> Knowledge Base Completion Meets Transfer Learning  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Knowledge Base Completion Meets Transfer Learning  </em></span>   </a>
			
			
					| <a href="https://doi.org/10.18653/v1/2021.emnlp-main.524"> Link <span class="sr-only" > to <em> Knowledge Base Completion Meets Transfer Learning  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[60] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Lightweight Visual Question Answering using Scene Graphs </strong> </p>
	    <p class="publicationAuthors"> <em> Vidyaranya Sai Nuthalapati&#x201a; Ramraj Chandradevan&#x201a; Eleonora Giunchiglia&#x201a; Bowen Li&#x201a; Maxime Kayser&#x201a; Thomas Lukasiewicz and Carl Yang  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 30th International Conference on Information and Knowledge Management&#x201a; CIKM 2021&#x201a; Gold Coast&#x201a; Queensland&#x201a; Australia&#x201a; November 1&#x2013;5&#x201a; 2021</em>.
        ACM Press.
        November,
            2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14651-abstract.html">
			Details <span class="sr-only" > about <em> Lightweight Visual Question Answering using Scene Graphs  </em></span> </a> |
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					| <a href="https://doi.org/10.1145/3459637.3482218"> Link <span class="sr-only" > to <em> Lightweight Visual Question Answering using Scene Graphs  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[61] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Controlling Text Edition by Changing Answers of Specific Questions </strong> </p>
	    <p class="publicationAuthors"> <em> Lei Sha&#x201a; Patrick Hohenecker and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Findings of ACL</em>.
        2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14650-abstract.html">
			Details <span class="sr-only" > about <em> Controlling Text Edition by Changing Answers of Specific Questions  </em></span> </a> |
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					| <a href="https://doi.org/10.18653/v1/2021.findings-acl.110"> Link <span class="sr-only" > to <em> Controlling Text Edition by Changing Answers of Specific Questions  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[62] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Selective Pseudo&#x2212;Label Clustering </strong> </p>
	    <p class="publicationAuthors"> <em> Louis Mahon and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 44th German Conference on Artificial Intelligence&#x201a; KI 2021&#x201a; Berlin&#x201a; Germany&#x201a; 2021</em>.
        Springer.
        2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14649-abstract.html">
			Details <span class="sr-only" > about <em> Selective Pseudo&#x2212;Label Clustering  </em></span> </a> |
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					| <a href="https://doi.org/10.1007/978-3-030-87626-5_12"> Link <span class="sr-only" > to <em> Selective Pseudo&#x2212;Label Clustering  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[63] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            e&#x2212;ViL: A Dataset and Benchmark for Natural Language Explanations in Vision&#x2212;Language Tasks </strong> </p>
	    <p class="publicationAuthors"> <em> Maxime Kayser&#x201a; Oana&#x2212;Maria Camburu&#x201a; Leonard Salewski&#x201a; Cornelius Emde&#x201a; Virginie Do&#x201a; Zeynep Akata and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision&#x201a; ICCV 2021&#x201a; Virtual Conference&#x201a; October 11&#x2013;17&#x201a; 2021</em>.
        October,
            2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14647-abstract.html">
			Details <span class="sr-only" > about <em> e&#x2212;ViL: A Dataset and Benchmark for Natural Language Explanations in Vision&#x2212;Language Tasks  </em></span> </a> |
			<a href="/publications/publication14647.bib">
			BibTeX  <span class="sr-only" > data for <em> e&#x2212;ViL: A Dataset and Benchmark for Natural Language Explanations in Vision&#x2212;Language Tasks  </em></span>   </a>
			
			
					| <a href="https://doi.org/10.1109/ICCV48922.2021.00128"> Link <span class="sr-only" > to <em> e&#x2212;ViL: A Dataset and Benchmark for Natural Language Explanations in Vision&#x2212;Language Tasks  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[64] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            The Surprising Power of Graph Neural Networks with Random Node Initialization </strong> </p>
	    <p class="publicationAuthors"> <em> Ralph Abboud&#x201a; &#x0130;smail &#x0130;lkan Ceylan&#x201a; Martin Grohe and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 30th International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2021&#x201a; August 21&#x2013;26&#x201a; 2021</em>.
        IJCAI.
        August,
            2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14546-abstract.html">
			Details <span class="sr-only" > about <em> The Surprising Power of Graph Neural Networks with Random Node Initialization  </em></span> </a> |
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					| <a href="https://doi.org/10.24963/ijcai.2021/291"> Link <span class="sr-only" > to <em> The Surprising Power of Graph Neural Networks with Random Node Initialization  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[65] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            RSG: A Simple yet Effective Module for Learning Imbalanced Datasets </strong> </p>
	    <p class="publicationAuthors"> <em> Jianfeng Wang&#x201a; Thomas Lukasiewicz&#x201a; Xiaolin Hu&#x201a; Jianfei Cai and Zhenghua Xu  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition&#x201a; CVPR 2021&#x201a; Virtual&#x201a; June 19&#x2013;25&#x201a; 2021</em>.
        June,
            2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14501-abstract.html">
			Details <span class="sr-only" > about <em> RSG: A Simple yet Effective Module for Learning Imbalanced Datasets  </em></span> </a> |
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					| <a href="https://openaccess.thecvf.com/content/CVPR2021/html/Wang_RSG_A_Simple_but_Effective_Module_for_Learning_Imbalanced_Datasets_CVPR_2021_paper.html"> Link <span class="sr-only" > to <em> RSG: A Simple yet Effective Module for Learning Imbalanced Datasets  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[66] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preferred Explanations for Ontology&#x2212;Mediated Queries under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz&#x201a; Enrico Malizia&#x201a; Cristian Molinaro and Andrius Vaicenavi&#x010d;ius  </em> </p>
	
	<p class="publicationDetails"> 
            In Kevin Leyton&#x2212;Brown and Mausam, editors,
             
            <em>
            Proceedings of the 35th AAAI Conference on Artificial Intelligence&#x201a; AAAI 2021&#x201a; Virtual Conference&#x201a; February 2&#x2013;9&#x201a; 2021</em>.
        AAAI Press.
        2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14404-abstract.html">
			Details <span class="sr-only" > about <em> Preferred Explanations for Ontology&#x2212;Mediated Queries under Existential Rules  </em></span> </a> |
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					| <a href="https://ojs.aaai.org/index.php/AAAI/article/view/16778"> Link <span class="sr-only" > to <em> Preferred Explanations for Ontology&#x2212;Mediated Queries under Existential Rules  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[67] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias&#x2212;Measuring Datasets </strong> </p>
	    <p class="publicationAuthors"> <em> Vid Kocijan&#x201a; Oana&#x2212;Maria Camburu and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Kevin Leyton&#x2212;Brown and Mausam, editors,
             
            <em>
            Proceedings of the 35th AAAI Conference on Artificial Intelligence&#x201a; AAAI 2021&#x201a; Virtual Conference&#x201a; February 2&#x2013;9&#x201a; 2021</em>.
        AAAI Press.
        2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14403-abstract.html">
			Details <span class="sr-only" > about <em> The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias&#x2212;Measuring Datasets  </em></span> </a> |
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					| <a href="https://ojs.aaai.org/index.php/AAAI/article/view/17557"> Link <span class="sr-only" > to <em> The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias&#x2212;Measuring Datasets  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[68] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Multi&#x2212;Type Disentanglement without Adversarial Training </strong> </p>
	    <p class="publicationAuthors"> <em> Lei Sha and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Kevin Leyton&#x2212;Brown and Mausam, editors,
             
            <em>
            Proceedings of the 35th AAAI Conference on Artificial Intelligence&#x201a; AAAI 2021&#x201a; Virtual Conference&#x201a; February 2&#x2013;9&#x201a; 2021</em>.
        AAAI Press.
        2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14401-abstract.html">
			Details <span class="sr-only" > about <em> Multi&#x2212;Type Disentanglement without Adversarial Training  </em></span> </a> |
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					| <a href="https://ojs.aaai.org/index.php/AAAI/article/view/17146"> Link <span class="sr-only" > to <em> Multi&#x2212;Type Disentanglement without Adversarial Training  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[69] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration </strong> </p>
	    <p class="publicationAuthors"> <em> Lei Sha&#x201a; Oana&#x2212;Maria Camburu and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Kevin Leyton&#x2212;Brown and Mausam, editors,
             
            <em>
            Proceedings of the 35th AAAI Conference on Artificial Intelligence&#x201a; AAAI 2021&#x201a; Virtual Conference&#x201a; February 2&#x2013;9&#x201a; 2021</em>.
        AAAI Press.
        2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14402-abstract.html">
			Details <span class="sr-only" > about <em> Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration  </em></span> </a> |
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					| <a href="https://ojs.aaai.org/index.php/AAAI/article/view/17623"> Link <span class="sr-only" > to <em> Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[70] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Extracting Outcomes from Appellate Decisions in US State Courts </strong> </p>
	    <p class="publicationAuthors"> <em> Alina Petrova&#x201a; John Armour and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Serena Villata, editor,
             
            <em>
            Proceedings of the 33rd International Conference on Legal Knowledge and Information Systems&#x201a; JURIX 2020&#x201a; Online&#x201a; December 9&#x2013;11&#x201a; 2020.</em>.
        
            Vol. 334.
        
                Pages 133&#x2013;142.
            IOS Press.
        2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14296-abstract.html">
			Details <span class="sr-only" > about <em> Extracting Outcomes from Appellate Decisions in US State Courts  </em></span> </a> |
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					| <a href="https://doi.org/10.3233/FAIA200857"> Link <span class="sr-only" > to <em> Extracting Outcomes from Appellate Decisions in US State Courts  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[71] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Lightweight Generative Adversarial Networks for Text&#x2212;Guided Image Manipulation </strong> </p>
	    <p class="publicationAuthors"> <em> Bowen Li&#x201a; Xiaojuan Qi&#x201a; Philip H. S. Torr and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 34th Annual Conference on Neural Information Processing Systems&#x201a; NeurIPS 2020&#x201a; December 6&#x2013;12&#x201a; 2020</em>.
        December,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14264-abstract.html">
			Details <span class="sr-only" > about <em> Lightweight Generative Adversarial Networks for Text&#x2212;Guided Image Manipulation  </em></span> </a> |
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					| <a href="https://proceedings.neurips.cc/paper/2020/hash/fae0b27c451c728867a567e8c1bb4e53-Abstract.html"> Link <span class="sr-only" > to <em> Lightweight Generative Adversarial Networks for Text&#x2212;Guided Image Manipulation  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[72] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            BoxE: A Box Embedding Model for Knowledge Base Completion </strong> </p>
	    <p class="publicationAuthors"> <em> Ralph Abboud&#x201a; &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz and Tommaso Salvatori  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 34th Annual Conference on Neural Information Processing Systems&#x201a; NeurIPS 2020&#x201a; December 6&#x2013;12&#x201a; 2020</em>.
        December,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14263-abstract.html">
			Details <span class="sr-only" > about <em> BoxE: A Box Embedding Model for Knowledge Base Completion  </em></span> </a> |
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					| <a href="https://proceedings.neurips.cc/paper/2020/hash/6dbbe6abe5f14af882ff977fc3f35501-Abstract.html"> Link <span class="sr-only" > to <em> BoxE: A Box Embedding Model for Knowledge Base Completion  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[73] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Coherent Hierarchical Multi&#x2212;Label Classification Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Eleonora Giunchiglia and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 34th Annual Conference on Neural Information Processing Systems&#x201a; NeurIPS 2020&#x201a; December 6&#x2013;12&#x201a; 2020</em>.
        December,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14262-abstract.html">
			Details <span class="sr-only" > about <em> Coherent Hierarchical Multi&#x2212;Label Classification Networks  </em></span> </a> |
			<a href="/publications/publication14262.bib">
			BibTeX  <span class="sr-only" > data for <em> Coherent Hierarchical Multi&#x2212;Label Classification Networks  </em></span>   </a>
			
			
					| <a href="https://proceedings.neurips.cc/paper/2020/hash/6dd4e10e3296fa63738371ec0d5df818-Abstract.html"> Link <span class="sr-only" > to <em> Coherent Hierarchical Multi&#x2212;Label Classification Networks  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[74] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Can the Brain Do Backpropagation? &#x2014; Exact Implementation of Backpropagation in Predictive Coding Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Yuhang Song&#x201a; Thomas Lukasiewicz&#x201a; Zhenghua Xu and Rafal Bogacz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 34th Annual Conference on Neural Information Processing Systems&#x201a; NeurIPS 2020&#x201a; December 6&#x2013;12&#x201a; 2020</em>.
        December,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14261-abstract.html">
			Details <span class="sr-only" > about <em> Can the Brain Do Backpropagation? &#x2014; Exact Implementation of Backpropagation in Predictive Coding Networks  </em></span> </a> |
			<a href="/publications/publication14261.bib">
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					| <a href="https://proceedings.neurips.cc/paper/2020/hash/fec87a37cdeec1c6ecf8181c0aa2d3bf-Abstract.html"> Link <span class="sr-only" > to <em> Can the Brain Do Backpropagation? &#x2014; Exact Implementation of Backpropagation in Predictive Coding Networks  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[75] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Explanations for Ontology&#x2212;Mediated Query Answering in Description Logics (Extended Abstract) </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz&#x201a; Enrico Malizia and Andrius Vaicenavicius  </em> </p>
	
	<p class="publicationDetails"> 
            In Stefan Borgwardt and Thomas Meyer, editors,
             
            <em>
            Proceedings of the 33rd International Workshop on Description Logics&#x201a; DL 2020&#x201a; co&#x2212;located with the 17th International Conference on Principles of Knowledge Representation and Reasoning&#x201a; KR 2020&#x201a; Online Event [Rhodes&#x201a; Greece]&#x201a; September 12&#x2013;14&#x201a; 2020</em>.
        
            Vol. 2663
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14260-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[76] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Knowledge Graph Extraction from Videos </strong> </p>
	    <p class="publicationAuthors"> <em> Louis Mahon&#x201a; Eleonora Giunchiglia&#x201a; Bowen Li and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the IEEE 2020 International Conference on Machine Learning and Applications&#x201a; ICMLA 2020&#x201a; Miami&#x201a; Florida&#x201a; December 14&#x2212;17&#x201a; 2020</em>.
        
                Pages 25&#x2013;32.
            IEEE.
        December,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14259-abstract.html">
			Details <span class="sr-only" > about <em> Knowledge Graph Extraction from Videos  </em></span> </a> |
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					| <a href="https://doi.org/10.1109/ICMLA51294.2020.00014"> Link <span class="sr-only" > to <em> Knowledge Graph Extraction from Videos  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[77] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution </strong> </p>
	    <p class="publicationAuthors"> <em> Yordan Yordanov&#x201a; Oana&#x2212;Maria Camburu&#x201a; Vid Kocijan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing&#x201a; EMNLP 2020&#x201a; November 16&#x2013;20&#x201a; 2020</em>.
        
                Pages 4963&#x2013;4969.
            Association for Computational Linguistics.
        November,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14257-abstract.html">
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					| <a href="https://doi.org/10.18653/v1/2020.emnlp-main.402"> Link <span class="sr-only" > to <em> Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[78] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction </strong> </p>
	    <p class="publicationAuthors"> <em> Patrick Hohenecker&#x201a; Frank Mtumbuka&#x201a; Vid Kocijan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing&#x201a; EMNLP 2020&#x201a; November 16&#x2013;20&#x201a; 2020</em>.
        
                Pages 8554&#x2013;8565.
            Association for Computational Linguistics.
        November,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14256-abstract.html">
			Details <span class="sr-only" > about <em> Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction  </em></span> </a> |
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					| <a href="https://doi.org/10.18653/v1/2020.emnlp-main.690"> Link <span class="sr-only" > to <em> Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[79] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Explanations for Negative Query Answers under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz&#x201a; Enrico Malizia&#x201a; Cristian Molinaro and Andrius Vaicenavi&#x010d;ius  </em> </p>
	
	<p class="publicationDetails"> 
            In Diego Calvanese and Esra Erdem, editors,
             
            <em>
            Proceedings of 17th International Conference on Principles of Knowledge Representation and Reasoning&#x201a; KR 2020&#x201a; Rhodes&#x201a; Greece&#x201a; September 12&#x2212;18&#x201a; 2020</em>.
        AAAI Press.
        September,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14126-abstract.html">
			Details <span class="sr-only" > about <em> Explanations for Negative Query Answers under Existential Rules  </em></span> </a> |
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					| <a href="https://doi.org/10.24963/kr.2020/23"> Link <span class="sr-only" > to <em> Explanations for Negative Query Answers under Existential Rules  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[80] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Ontology Reasoning with Deep Neural Networks (Extended Abstract) </strong> </p>
	    <p class="publicationAuthors"> <em> Patrick Hohenecker and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence&#x201a; IJCAI&#x2212;PRICAI 2020&#x201a; Yokohama&#x201a; Japan&#x201a; July 11&#x2212;17&#x201a; 2020</em>.
        IJCAI/AAAI Press.
        July,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14085-abstract.html">
			Details <span class="sr-only" > about <em> Ontology Reasoning with Deep Neural Networks (Extended Abstract)  </em></span> </a> |
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					| <a href="https://arxiv.org/abs/1808.07980"> Link <span class="sr-only" > to <em> Ontology Reasoning with Deep Neural Networks (Extended Abstract)  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[81] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations </strong> </p>
	    <p class="publicationAuthors"> <em> Oana&#x2212;Maria Camburu&#x201a; Brendan Shillingford&#x201a; Pasquale Minervini&#x201a; Thomas Lukasiewicz and Phil Blunsom  </em> </p>
	
	<p class="publicationDetails"> 
            In Joyce Chai&#x201a; Natalie Schluter and Joel Tetreault, editors,
             
            <em>
            Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics&#x201a; ACL 2020&#x201a; Seattle&#x201a; Washington&#x201a; USA&#x201a; July 5 &#x2212; 10&#x201a; 2020</em>.
        Association for Computational Linguistics.
        July,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication14064-abstract.html">
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					| <a href="http://arxiv.org/abs/1910.03065"> Link <span class="sr-only" > to <em> Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[82] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            ManiGAN: Text&#x2212;Guided Image Manipulation </strong> </p>
	    <p class="publicationAuthors"> <em> Bowen Li&#x201a; Xiaojuan Qi&#x201a; Thomas Lukasiewicz and Philip H. S. Torr  </em> </p>
	
	<p class="publicationDetails"> 
            In Ce Liu&#x201a; Greg Mori&#x201a; Kate Saenko and Silvio Savarese, editors,
             
            <em>
            Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition&#x201a; CVPR 2020&#x201a; Seattle&#x201a; Washington&#x201a; USA&#x201a; June 14&#x2212;19&#x201a; 2020</em>.
        
                Pages 7880&#x2013;7889.
            CVF/IEEE.
        June,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication13847-abstract.html">
			Details <span class="sr-only" > about <em> ManiGAN: Text&#x2212;Guided Image Manipulation  </em></span> </a> |
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			 | <a
		href="http://dx.doi.org/https://doi.org/10.1109/CVPR42600.2020.00790">
		DOI (https://doi.org/10.1109/CVPR42600.2020.00790)
		</a> 
					| <a href="https://openaccess.thecvf.com/content_CVPR_2020/html/Li_ManiGAN_Text-Guided_Image_Manipulation_CVPR_2020_paper.html"> Link <span class="sr-only" > to <em> ManiGAN: Text&#x2212;Guided Image Manipulation  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[83] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Hybrid Deep&#x2212;Semantic Matrix Factorization for Tag&#x2212;Aware Personalized Recommendation </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Di Yuan&#x201a; Thomas Lukasiewicz&#x201a; Cheng Chen&#x201a; Yishu Miao and Guizhi Xu  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2020 IEEE International Conference on Acoustics&#x201a; Speech and Signal Processing&#x201a; ICASSP 2020&#x201a; Barcelona&#x201a; Spain&#x201a; May 4&#x2013;8&#x201a; 2020</em>.
        IEEE Computer Society.
        May,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication13796-abstract.html">
			Details <span class="sr-only" > about <em> Hybrid Deep&#x2212;Semantic Matrix Factorization for Tag&#x2212;Aware Personalized Recommendation  </em></span> </a> |
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					| <a href="https://doi.org/10.1109/ICASSP40776.2020.9053044"> Link <span class="sr-only" > to <em> Hybrid Deep&#x2212;Semantic Matrix Factorization for Tag&#x2212;Aware Personalized Recommendation  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[84] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Neural Networks for Approximate DNF Counting: An Abridged Report </strong> </p>
	    <p class="publicationAuthors"> <em> Ralph Abboud&#x201a; &#x0130;smail &#x0130;lkan Ceylan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Lingfei Wu&#x201a; Jian Tang&#x201a; Yinglong Xia and Charu Aggarwal, editors,
             
            <em>
            Proceedings of the 1st International Workshop on Deep Learning on Graphs: Methodologies and Applications&#x201a; DLGMA 2020&#x201a; New York&#x201a; New York&#x201a; USA&#x201a; February 8&#x201a; 2020</em>.
        February,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication13789-abstract.html">
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					| <a href="https://dlg2019.bitbucket.io/aaai20/accepted_papers/DLGMA_2020_paper_20.pdf"> Download (pdf)  <span class="sr-only" > of <em> Neural Networks for Approximate DNF Counting: An Abridged Report  </em></span>   </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[85] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Explanations for Ontology&#x2212;Mediated Query Answering in Description Logics </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz&#x201a; Enrico Malizia and Andrius Vaicenavi&#x010d;ius  </em> </p>
	
	<p class="publicationDetails"> 
            In Giuseppe De Giacomo, editor,
             
            <em>
            Proceedings of the 24th European Conference on Artificial Intelligence&#x201a; ECAI 2020&#x201a; Santiago de Compostela&#x201a; Spain&#x201a; June 8&#x2013;12&#x201a; 2020</em>.
        IOS Press.
        June,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication13781-abstract.html">
			Details <span class="sr-only" > about <em> Explanations for Ontology&#x2212;Mediated Query Answering in Description Logics  </em></span> </a> |
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					| <a href="https://doi.org/10.3233/FAIA200153"> Link <span class="sr-only" > to <em> Explanations for Ontology&#x2212;Mediated Query Answering in Description Logics  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[86] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Arena: A General Evaluation Platform and Building Toolkit for Multi&#x2212;Agent Intelligence </strong> </p>
	    <p class="publicationAuthors"> <em> Yuhang Song&#x201a; Andrzej Wojcicki&#x201a; Thomas Lukasiewicz&#x201a; Jianyi Wang&#x201a; Abi Aryan&#x201a; Zhenghua Xu&#x201a; Mai Xu&#x201a; Zihan Ding and Lianlong Wu  </em> </p>
	
	<p class="publicationDetails"> 
            In Vincent Conitzer and Fei Sha, editors,
             
            <em>
            Proceedings of the 34th National Conference on Artificial Intelligence&#x201a; AAAI 2020&#x201a; New York&#x201a; New York&#x201a; USA&#x201a; February 7&#x2013;12&#x201a; 2020</em>.
        AAAI Press.
        February,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication13639-abstract.html">
			Details <span class="sr-only" > about <em> Arena: A General Evaluation Platform and Building Toolkit for Multi&#x2212;Agent Intelligence  </em></span> </a> |
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					| <a href="https://ojs.aaai.org/index.php/AAAI/article/view/6216"> Link <span class="sr-only" > to <em> Arena: A General Evaluation Platform and Building Toolkit for Multi&#x2212;Agent Intelligence  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[87] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Mega&#x2212;Reward: Achieving Human&#x2212;Level Play without Extrinsic Rewards </strong> </p>
	    <p class="publicationAuthors"> <em> Yuhang Song&#x201a; Jianyi Wang&#x201a; Thomas Lukasiewicz&#x201a; Zhenghua Xu&#x201a; Shangtong Zhang&#x201a; Andrzej Wojcicki and Mai Xu  </em> </p>
	
	<p class="publicationDetails"> 
            In Vincent Conitzer and Fei Sha, editors,
             
            <em>
            Proceedings of the 34th National Conference on Artificial Intelligence&#x201a; AAAI 2020&#x201a; New York&#x201a; New York&#x201a; USA&#x201a; February 7&#x2013;12&#x201a; 2020</em>.
        AAAI Press.
        February,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication13638-abstract.html">
			Details <span class="sr-only" > about <em> Mega&#x2212;Reward: Achieving Human&#x2212;Level Play without Extrinsic Rewards  </em></span> </a> |
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					| <a href="https://ojs.aaai.org/index.php/AAAI/article/view/6040"> Link <span class="sr-only" > to <em> Mega&#x2212;Reward: Achieving Human&#x2212;Level Play without Extrinsic Rewards  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[88] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Explanations for Inconsistency&#x2212;Tolerant Query Answering under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Enrico Malizia and Cristian Molinaro  </em> </p>
	
	<p class="publicationDetails"> 
            In Vincent Conitzer and Fei Sha, editors,
             
            <em>
            Proceedings of the 34th National Conference on Artificial Intelligence&#x201a; AAAI 2020&#x201a; New York&#x201a; New York&#x201a; USA&#x201a; February 7&#x2013;12&#x201a; 2020</em>.
        AAAI Press.
        February,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication13637-abstract.html">
			Details <span class="sr-only" > about <em> Explanations for Inconsistency&#x2212;Tolerant Query Answering under Existential Rules  </em></span> </a> |
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					| <a href="https://ojs.aaai.org/index.php/AAAI/article/view/5682"> Link <span class="sr-only" > to <em> Explanations for Inconsistency&#x2212;Tolerant Query Answering under Existential Rules  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[89] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting </strong> </p>
	    <p class="publicationAuthors"> <em> Ralph Abboud&#x201a; &#x0130;smail &#x0130;lkan Ceylan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Vincent Conitzer and Fei Sha, editors,
             
            <em>
            Proceedings of the 34th AAAI Conference on Artificial Intelligence&#x201a; AAAI 2020&#x201a; New York&#x201a; New York&#x201a; USA&#x201a; February 7&#x2013;12&#x201a; 2020</em>.
        AAAI Press.
        February,
            2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication13635-abstract.html">
			Details <span class="sr-only" > about <em> Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting  </em></span> </a> |
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					| <a href="https://aaai.org/ojs/index.php/AAAI/article/view/5705"> Link <span class="sr-only" > to <em> Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[90] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Controllable Text&#x2212;to&#x2212;Image Generation </strong> </p>
	    <p class="publicationAuthors"> <em> Bowen Li&#x201a; Xiaojuan Qi&#x201a; Thomas Lukasiewicz and Philip H. S. Torr  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 33rd Annual Conference on Neural Information Processing Systems&#x201a; NeurIPS 2019&#x201a; Vancouver&#x201a; Canada&#x201a; December 8&#x2013;14&#x201a; 2019</em>.
        December,
            2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
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	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[91] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            WikiCREM: A Large Unsupervised Corpus for Co&#x2212;Reference Resolution </strong> </p>
	    <p class="publicationAuthors"> <em> Vid Kocijan&#x201a; Oana&#x2212;Maria Camburu&#x201a; Ana&#x2212;Maria Cretu&#x201a; Yordan Yordanov&#x201a; Phil Blunsom and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing&#x201a; EMNLP&#x2212;IJCNLP 2019&#x201a; Hong Kong&#x201a; China&#x201a; November 3&#x2013;7&#x201a; 2019</em>.
        November,
            2019.
        </p>
	
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            		href="/publications/publication12680-abstract.html">
			Details <span class="sr-only" > about <em> WikiCREM: A Large Unsupervised Corpus for Co&#x2212;Reference Resolution  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[92] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Ontology&#x2212;Mediated Query Answering over Log&#x2212;Linear Probabilistic Data (Abstract) </strong> </p>
	    <p class="publicationAuthors"> <em> Stefan Borgwardt&#x201a; &#x0130;smail &#x0130;lkan Ceylan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Mantas Simkus and Grant E. Weddell, editors,
             
            <em>
            Proceedings of the 32nd International Workshop on Description Logics&#x201a; DL 2019&#x201a; Oslo&#x201a; Norway&#x201a; June 18&#x2212;21&#x201a; 2019</em>.
        
            Vol. 2373
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        June,
            2019.
        </p>
	
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            		href="/publications/publication12679-abstract.html">
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	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[93] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            An Ontology&#x2212;Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities </strong> </p>
	    <p class="publicationAuthors"> <em> Elvira Amador&#x2212;Dom&#x0131;&#x0301;nguez&#x201a; Patrick Hohenecker&#x201a; Thomas Lukasiewicz&#x201a; Daniel Manrique and Emilio Serrano  </em> </p>
	
	<p class="publicationDetails"> 
            In Francisco Herrera&#x201a; Kenji Matsui and Sara Rodr&#xed;guez Gonzalez, editors,
             
            <em>
            Proceedings of the 16th International Conference on Distributed Computing and Artificial Intelligence (DCAI 2019)&#x201a; Avila&#x201a; Spain&#x201a; June 26&#x2212;28&#x201a; 2019</em>.
        Springer.
        June,
            2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12571-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[94] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Surprisingly Robust Trick for the Winograd Schema Challenge </strong> </p>
	    <p class="publicationAuthors"> <em> Vid Kocijan&#x201a; Ana&#x2212;Maria Cretu&#x201a; Oana&#x2212;Maria Camburu&#x201a; Yordan Yordanov and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Anna Korhonen and David Traum, editors,
             
            <em>
            Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics&#x201a; ACL 2019&#x201a; Florence&#x201a; Italy&#x201a; July 28 &#x2212; August 2&#x201a; 2019</em>.
        Association for Computational Linguistics.
        July,
            2019.
        </p>
	
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					| <a href="http://arxiv.org/abs/1905.06290"> Link <span class="sr-only" > to <em> A Surprisingly Robust Trick for the Winograd Schema Challenge  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[95] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Explanations for Query Answers under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz&#x201a; Enrico Malizia and Andrius Vaicenavi&#x010d;ius  </em> </p>
	
	<p class="publicationDetails"> 
            In Sarit Kraus, editor,
             
            <em>
            Proceedings of the 28th International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2019&#x201a; Macao&#x201a; China&#x201a; August 10&#x2212;16&#x201a; 2019</em>.
        
                Pages 1639&#x2013;1646.
            IJCAI/AAAI Press.
        August,
            2019.
        </p>
	
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[96] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment </strong> </p>
	    <p class="publicationAuthors"> <em> Bo Li&#x201a; Zehua Cheng&#x201a; Zhenghua Xu&#x201a; Wei Ye&#x201a; Thomas Lukasiewicz and Shikun Zhang  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2019 IEEE International Conference on Acoustics&#x201a; Speech and Signal Processing&#x201a; ICASSP 2019&#x201a; Brighton&#x201a; UK&#x201a; May 12&#x2212;17&#x201a; 2019</em>.
        IEEE Computer Society.
        May,
            2019.
        </p>
	
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            		href="/publications/publication12505-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[97] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Ontology&#x2212;Mediated Query Answering over Log&#x2212;Linear Probabilistic Data </strong> </p>
	    <p class="publicationAuthors"> <em> Stefan Borgwardt&#x201a; &#x0130;smail &#x0130;lkan Ceylan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Pascal Van Hentenryck and Zhi&#x2212;Hua Zhou, editors,
             
            <em>
            Proceedings of the 33rd National Conference on Artificial Intelligence&#x201a; AAAI 2019&#x201a; Honolulu&#x201a; Hawaii&#x201a; USA&#x201a; January 27 &#x2212; February 1&#x201a; 2019</em>.
        
                Pages 2711&#x2013;2718.
            AAAI Press.
        January,
            2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12218-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[98] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Diversity&#x2212;Driven Extensible Hierarchical Reinforcement Learning </strong> </p>
	    <p class="publicationAuthors"> <em> Yuhang Song&#x201a; Jianyi Wang&#x201a; Thomas Lukasiewicz&#x201a; Zhenghua Xu and Mai Xu  </em> </p>
	
	<p class="publicationDetails"> 
            In Pascal Van Hentenryck and Zhi&#x2212;Hua Zhou, editors,
             
            <em>
            Proceedings of the 33rd National Conference on Artificial Intelligence&#x201a; AAAI 2019&#x201a; Honolulu&#x201a; Hawaii&#x201a; USA&#x201a; January 27 &#x2212; February 1&#x201a; 2019</em>.
        
                Pages 4992&#x2013;4999.
            AAAI Press.
        January,
            2019.
        </p>
	
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            		href="/publications/publication12217-abstract.html">
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					| <a href="https://doi.org/10.1609/aaai.v33i01.33014992"> Link <span class="sr-only" > to <em> Diversity&#x2212;Driven Extensible Hierarchical Reinforcement Learning  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[99] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+&#x2044;&#x2212; under Cardinality&#x2212;Based Repairs </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Enrico Malizia and Andrius Vaicenavi&#x010d;ius  </em> </p>
	
	<p class="publicationDetails"> 
            In Pascal Van Hentenryck and Zhi&#x2212;Hua Zhou, editors,
             
            <em>
            Proceedings of the 33rd National Conference on Artificial Intelligence&#x201a; AAAI 2019&#x201a; Honolulu&#x201a; Hawaii&#x201a; USA&#x201a; January 27 &#x2212; February 1&#x201a; 2019</em>.
        
                Pages 2962&#x2013;2969.
            AAAI Press.
        January,
            2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12216-abstract.html">
			Details <span class="sr-only" > about <em> Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+&#x2044;&#x2212; under Cardinality&#x2212;Based Repairs  </em></span> </a> |
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					| <a href="https://doi.org/10.1609/aaai.v33i01.33012962"> Link <span class="sr-only" > to <em> Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+&#x2044;&#x2212; under Cardinality&#x2212;Based Repairs  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[100] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity of Approximate Query Answering under Inconsistency in Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Enrico Malizia and Cristian Molinaro  </em> </p>
	
	<p class="publicationDetails"> 
            In Sonia Bergamaschi&#x201a; Tommaso Di Noia and Andrea Maurino, editors,
             
            <em>
            Proceedings of the 26th Italian Symposium on Advanced Database Systems&#x201a; Castellaneta Marina (Taranto)&#x201a; Italy&#x201a; June 24&#x2212;27&#x201a; 2018</em>.
        
            Vol. 2161
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12145-abstract.html">
			Details <span class="sr-only" > about <em> Complexity of Approximate Query Answering under Inconsistency in Datalog+&#x2044;&#x2212;  </em></span> </a> |
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	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[101] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            e&#x2212;SNLI: Natural Language Inference with Natural Language Explanations </strong> </p>
	    <p class="publicationAuthors"> <em> Oana&#x2212;Maria Camburu&#x201a; Tim Rockt&#xe4;schel&#x201a; Thomas Lukasiewicz and Phil Blunsom  </em> </p>
	
	<p class="publicationDetails"> 
            In Samy Bengio&#x201a; Hanna Wallach&#x201a; Hugo Larochelle&#x201a; Kristen Grauman&#x201a; Nicol&#xf2; Cesa&#x2212;Bianchi and Roman Garnett, editors,
             
            <em>
            Proceedings of the 32nd Annual Conference on Neural Information Processing Systems&#x201a; NeurIPS 2018&#x201a; Montreal&#x201a; Canada&#x201a; December 3&#x2212;8&#x201a; 2018</em>.
        
                Pages 9560&#x2013;9572.
            Curran Associates&#x201a; Inc..
        December,
            2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12144-abstract.html">
			Details <span class="sr-only" > about <em> e&#x2212;SNLI: Natural Language Inference with Natural Language Explanations  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[102] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Learning Structured Video Descriptions: Automated Video Knowledge Extraction for Video Understanding Tasks </strong> </p>
	    <p class="publicationAuthors"> <em> Daniel Vasile and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Herv&#xe9; Panetto&#x201a; Christophe Debruyne&#x201a; Henderik A. Proper&#x201a; Claudio Agostino Ardagna&#x201a; Dumitru Roman and Robert Meersman, editors,
             
            <em>
            On the Move to Meaningful Internet Systems. OTM 2018 Conferences: Confederated International Conferences: CoopIS&#x201a; C&TC&#x201a; and ODBASE 2018&#x201a; Valletta&#x201a; Malta&#x201a; October 23&#x2212;24&#x201a; 2018</em>.
        
            Vol. 11230
                of Lecture Notes in Computer Science.
        
                Pages 315&#x2212;332.
            Springer.
        October,
            2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12138-abstract.html">
			Details <span class="sr-only" > about <em> Learning Structured Video Descriptions: Automated Video Knowledge Extraction for Video Understanding Tasks  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[103] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Recent Advances in Querying Probabilistic Knowledge Bases </strong> </p>
	    <p class="publicationAuthors"> <em> Stefan Borgwardt&#x201a; &#x0130;smail &#x0130;lkan Ceylan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In J&#xe9;r&#xf4;me Lang, editor,
             
            <em>
            Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence&#x201a; IJCAI&#x2212;ECAI 2018&#x201a; Stockholm&#x201a; Sweden&#x201a; July 13&#x2212;19&#x201a; 2018</em>.
        
                Pages 5420&#x2212;5426.
            IJCAI/AAAI Press.
        July,
            2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication11928-abstract.html">
			Details <span class="sr-only" > about <em> Recent Advances in Querying Probabilistic Knowledge Bases  </em></span> </a> |
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					| <a href="https://doi.org/10.24963/ijcai.2018/765"> Link <span class="sr-only" > to <em> Recent Advances in Querying Probabilistic Knowledge Bases  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[104] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity of Approximate Query Answering under Inconsistency in Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Enrico Malizia and Cristian Molinaro  </em> </p>
	
	<p class="publicationDetails"> 
            In J&#xe9;r&#xf4;me Lang, editor,
             
            <em>
            Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence&#x201a; IJCAI&#x2212;ECAI 2018&#x201a; Stockholm&#x201a; Sweden&#x201a; July 13&#x2212;19&#x201a; 2018</em>.
        
                Pages 1921&#x2212;1927.
            IJCAI/AAAI Press.
        July,
            2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication11917-abstract.html">
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				[105] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Uncertainty Reasoning for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Giovambattista Ianni&#x201a; Domenico Lembo&#x201a; Leopoldo E. Bertossi&#x201a; Wolfgang Faber&#x201a; Birte Glimm&#x201a; Georg Gottlob and Steffen Staab, editors,
             
            <em>
            Reasoning Web. Semantic Interoperability on the Web &#x2212; 13th International Summer School 2017&#x201a; London&#x201a; UK&#x201a; July 7&#x2212;11&#x201a; 2017&#x201a; Tutorial Lectures</em>.
        
            Vol. 10370
                of Lecture Notes in Computer Science.
        
                Pages 276&#x2013;291.
            Springer.
        2017.
        </p>
	
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				[106] 
			</div>

		
        
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	<p class="publicationTitle"> <strong>
            Tag&#x2212;Aware Personalized Recommendation Using a Hybrid Deep Model </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Thomas Lukasiewicz&#x201a; Cheng Chen&#x201a; Yishu Miao and Xiangwu Meng  </em> </p>
	
	<p class="publicationDetails"> 
            In Carles Sierra, editor,
             
            <em>
            Proceedings of the 26th International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2017&#x201a; Melbourne&#x201a; Australia&#x201a; August 19&#x2212;25&#x201a; 2017</em>.
        
                Pages 3196&#x2013;3202.
            IJCAI/AAAI Press.
        August,
            2017.
        </p>
	
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				[107] 
			</div>

		
        
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	<p class="publicationTitle"> <strong>
            Query Answering in Ontologies Under Preference Rankings </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz&#x201a; Rafael Pe&#xf1;aloza and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In Carles Sierra, editor,
             
            <em>
            Proceedings of the 26th International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2017&#x201a; Melbourne&#x201a; Australia&#x201a; August 19&#x2212;25&#x201a; 2017</em>.
        
                Pages 943&#x2013;949.
            IJCAI/AAAI Press.
        August,
            2017.
        </p>
	
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				[108] 
			</div>

		
        
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	<p class="publicationTitle"> <strong>
            Most Probable Explanations for Probabilistic Database Queries </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Stefan Borgwardt and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Carles Sierra, editor,
             
            <em>
            Proceedings of the 26th International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2017&#x201a; Melbourne&#x201a; Australia&#x201a; August 19&#x2212;25&#x201a; 2017</em>.
        
                Pages 950&#x2013;956.
            IJCAI/AAAI Press.
        August,
            2017.
        </p>
	
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				[109] 
			</div>

		
        
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	<p class="publicationTitle"> <strong>
            Location&#x2212;Aware News Recommendation Using Deep Localized Semantic Analysis </strong> </p>
	    <p class="publicationAuthors"> <em> Cheng Chen&#x201a; Thomas Lukasiewicz&#x201a; Xiangwu Meng and Zhenghua Xu  </em> </p>
	
	<p class="publicationDetails"> 
            In Sel&#xe7;uk Candan&#x201a; Lei Chen and Torben Bach Pedersen, editors,
             
            <em>
            Proceedings of the 22nd International Conference on Database Systems for Advanced Applications&#x201a; DASFAA 2017&#x201a; Suzhou&#x201a; China&#x201a; March 27&#x2212;30&#x201a; 2017</em>.
        
            Vol. 10177
                of Lecture Notes in Computer Science.
        
                Pages 507&#x2013;524.
            Springer.
        2017.
        </p>
	
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				[110] 
			</div>

		
        
		<div
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	<p class="publicationTitle"> <strong>
            Ontology&#x2212;Mediated Queries for Probabilistic Databases </strong> </p>
	    <p class="publicationAuthors"> <em> Stefan Borgwardt&#x201a; &#x0130;smail &#x0130;lkan Ceylan and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Satinder Singh and Shaul Markovitch, editors,
             
            <em>
            Proceedings of the 31st National Conference on Artificial Intelligence&#x201a; AAAI 2017&#x201a; San Francisco&#x201a; California&#x201a; USA&#x201a; February 4&#x2013;9&#x201a; 2017</em>.
        
                Pages 1063&#x2013;1069.
            AAAI Press.
        2017.
        </p>
	
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					| <a href="http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14365"> Link <span class="sr-only" > to <em> Ontology&#x2212;Mediated Queries for Probabilistic Databases  </em></span> </a>
  				
		
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				[111] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Tag&#x2212;Aware Personalized Recommendation Using a Deep&#x2212;Semantic Similarity Model with Negative Sampling </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Cheng Chen&#x201a; Thomas Lukasiewicz&#x201a; Yishu Miao and Xiangwu Meng  </em> </p>
	
	<p class="publicationDetails"> 
            In Elisa Bertino&#x201a; Fabio Crestani&#x201a; Javed Mostafa&#x201a; Jie Tang&#x201a; Luo Si and Xiaofang Zhou, editors,
             
            <em>
            Proceedings of the 25th ACM International Conference on Information and Knowledge Management&#x201a; CIKM 2016&#x201a; Indianapolis&#x201a; USA&#x201a; October 24&#x2212;28&#x201a; 2016</em>.
        
                Pages 1921&#x2212;1924.
            ACM Press.
        October,
            2016.
        </p>
	
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				[112] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity Results for Probabilistic Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz and Rafael Pe&#xf1;aloza  </em> </p>
	
	<p class="publicationDetails"> 
            In Maria S. Fox and Gal A. Kaminka, editors,
             
            <em>
            Proceedings of the 22nd European Conference on Artificial Intelligence&#x201a; ECAI 2016&#x201a; The Hague&#x201a; The Netherlands&#x201a; August 29 &#x2212; September 2&#x201a; 2016</em>.
        
                Pages 1414&#x2212;1422.
            IOS Press.
        August,
            2016.
        </p>
	
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            		href="/publications/publication10516-abstract.html">
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					| <a href="http://dx.doi.org/10.3233/978-1-61499-672-9-1414"> Link <span class="sr-only" > to <em> Complexity Results for Probabilistic Datalog+&#x2044;&#x2212;  </em></span> </a>
  				
		
		</div> 
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				[113] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity of Threshold Query Answering in Probabilistic Ontological Data Exchange </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Livia Predoiu  </em> </p>
	
	<p class="publicationDetails"> 
            In Maria S. Fox and Gal A. Kaminka, editors,
             
            <em>
            Proceedings of the 22nd European Conference on Artificial Intelligence&#x201a; ECAI 2016&#x201a; The Hague&#x201a; The Netherlands&#x201a; August 29 &#x2212; September 2&#x201a; 2016</em>.
        
                Pages 1008&#x2212;1016.
            IOS Press.
        August,
            2016.
        </p>
	
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				[114] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preferential Query Answering over the Semantic Web with Possibilistic Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Stefan Borgwardt&#x201a; Bettina Fazzinga&#x201a; Thomas Lukasiewicz&#x201a; Akanksha Shrivastava and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In Subbarao Kambhampati, editor,
             
            <em>
            Proceedings of the 25th International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2016&#x201a; New York&#x201a; NY&#x201a; USA&#x201a; July 9&#x2212;15&#x201a; 2016</em>.
        
                Pages 994&#x2212;1000.
            IJCAI/AAAI Press.
        July,
            2016.
        </p>
	
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            		href="/publications/publication10411-abstract.html">
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				[115] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Models over Weighted Orderings: Fixed&#x2212;Parameter Tractable Variable Elimination </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; David Poole and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In James P. Delgrande and Frank Wolter, editors,
             
            <em>
            Proceedings of the 15th International Conference on the Principles of Knowledge Representation and Reasoning&#x201a; KR 2016&#x201a; Cape Town&#x201a; South Africa&#x201a; April 25&#x2212;29&#x201a; 2016</em>.
        
                Pages 494&#x2212;504.
            AAAI Press.
        April,
            2016.
        </p>
	
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			<div class="col-xs-1 text-right">
				[116] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Generalized Consistent Query Answering under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter&#x201a; Thomas Lukasiewicz and Livia Predoiu  </em> </p>
	
	<p class="publicationDetails"> 
            In James P. Delgrande and Frank Wolter, editors,
             
            <em>
            Proceedings of the 15th International Conference on the Principles of Knowledge Representation and Reasoning&#x201a; KR 2016&#x201a; Cape Town&#x201a; South Africa&#x201a; April 25&#x2212;29&#x201a; 2016</em>.
        
                Pages 359&#x2212;368.
            AAAI Press.
        April,
            2016.
        </p>
	
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				[117] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Basic Probabilistic Ontological Data Exchange with Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Livia Predoiu and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Dale Schuurmans and Michael Wellman, editors,
             
            <em>
            Proceedings of the 30th National Conference on Artificial Intelligence&#x201a; AAAI 2016&#x201a; Phoenix&#x201a; Arizona&#x201a; USA&#x201a; February 12&#x2013;17&#x201a; 2016</em>.
        
                Pages 1023&#x2212;1029.
            AAAI Press.
        February,
            2016.
        </p>
	
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            		href="/publications/publication10148-abstract.html">
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				[118] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            On the Complexity of mCP&#x2212;Nets </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Enrico Malizia  </em> </p>
	
	<p class="publicationDetails"> 
            In Dale Schuurmans and Michael Wellman, editors,
             
            <em>
            Proceedings of the 30th National Conference on Artificial Intelligence&#x201a; AAAI 2016&#x201a; Phoenix&#x201a; Arizona&#x201a; USA&#x201a; February 12&#x2013;17&#x201a; 2016</em>.
        
                Pages 558&#x2212;564.
            AAAI Press.
        February,
            2016.
        </p>
	
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            		href="/publications/publication10147-abstract.html">
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					| <a href="http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12239"> Link <span class="sr-only" > to <em> On the Complexity of mCP&#x2212;Nets  </em></span> </a>
  				
		
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				[119] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preference Queries with Ceteris Paribus Semantics for Linked Data </strong> </p>
	    <p class="publicationAuthors"> <em> Jessica Rosati&#x201a; Tommaso Di Noia&#x201a; Thomas Lukasiewicz&#x201a; Renato De Leone and Andrea Maurino  </em> </p>
	
	<p class="publicationDetails"> 
            In Christophe Debruyne&#x201a; Herv&#xe9; Panetto&#x201a; Robert Meersman&#x201a; Tharam S. Dillon&#x201a; Georg Weichhart&#x201a; Yuan An and Claudio Agostino Ardagna, editors,
             
            <em>
            Proceedings of the 14th International Conference on Ontologies&#x201a; Databases&#x201a; and Applications of Semantics&#x201a; ODBASE 2015&#x201a; Rhodes&#x201a; Greece&#x201a; October 26&#x2212;30&#x201a; 2015</em>.
        
            Vol. 9415
                of Lecture Notes in Computer Science.
        
                Pages 423&#x2013;442.
            Springer.
        2015.
        </p>
	
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            		href="/publications/publication10211-abstract.html">
			Details <span class="sr-only" > about <em> Preference Queries with Ceteris Paribus Semantics for Linked Data  </em></span> </a> |
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				[120] 
			</div>

		
        
		<div
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	<p class="publicationTitle"> <strong>
            Probabilistic Ontological Data Exchange with Bayesian Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Livia Predoiu and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Rommel N. Carvalho&#x201a; Davide Ceolin&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor P. Martin&#x201a; Matthias Nickles and Michael Pool, editors,
             
            <em>
            Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2015&#x201a; Bethlehem&#x201a; USA&#x201a; October 12&#x201a; 2015</em>.
        
            Vol. 1479
                of CEUR Workshop Proceedings.
        
                Pages 38&#x2212;49.
            CEUR&#x2212;WS.org.
        2015.
        </p>
	
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				[121] 
			</div>

		
        
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			class="col-xs-11"
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	<p class="publicationTitle"> <strong>
            Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Livia Predoiu and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Nick Bassiliades&#x201a; Georg Gottlob and Fariba Sadri, editors,
             
            <em>
            Proceedings of the 9th International Web Rule Symposium&#x201a; RuleML 2015&#x201a; Berlin&#x201a; Germany&#x201a; August 2&#x2212;5&#x201a; 2015.</em>.
        
            Vol. 9202
                of Lecture Notes in Computer Science.
        
                Pages 294&#x2212;310.
            Springer.
        2015.
        </p> <p
            class="publicationNote"> <font color="red">RuleML 2015 Best Paper Award</font></p>
	
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				[122] 
			</div>

		
        
		<div
			class="col-xs-11"
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	<p class="publicationTitle"> <strong>
            Answering EL Queries in the Presence of Preferences </strong> </p>
	    <p class="publicationAuthors"> <em> &#x0130;smail &#x0130;lkan Ceylan&#x201a; Thomas Lukasiewicz and Rafael Pe&#xf1;aloza  </em> </p>
	
	<p class="publicationDetails"> 
            In Diego Calvanese and Boris Konev, editors,
             
            <em>
            Proceedings of the 28th International Workshop on Description Logics&#x201a; DL 2015&#x201a; Athens&#x201a; Greece&#x201a; June 7&#x2212;10&#x201a; 2015</em>.
        
            Vol. 1350
                of CEUR Workshop Proceedings.
        
                Pages 380&#x2212;383.
            CEUR&#x2212;WS.org.
        2015.
        </p>
	
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				[123] 
			</div>

		
        
		<div
			class="col-xs-11"
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	<p class="publicationTitle"> <strong>
            From Classical to Consistent Query Answering under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Andreas Pieris and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Andrea Cal&#xec; and Maria&#x2212;Esther Vidal, editors,
             
            <em>
            Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management&#x201a; AMW 2015&#x201a; Lima&#x201a; Peru&#x201a; May 6&#x2212;8&#x201a; 2015.</em>.
        
            Vol. 1378
                of CEUR Workshop Proceedings.
        
                Pages 40&#x2212;45.
            CEUR&#x2212;WS.org.
        2015.
        </p>
	
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				[124] 
			</div>

		
        
		<div
			class="col-xs-11"
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	<p class="publicationTitle"> <strong>
            Combining Existential Rules with the Power of CP&#x2212;Theories </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia&#x201a; Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In Qiang Yang, editor,
             
            <em>
            Proceedings of the 24th International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2015&#x201a; Buenos Aires&#x201a; Argentina&#x201a; July 25&#x2212;31&#x201a; 2015</em>.
        
                Pages 2918&#x2212;2925.
            AAAI Press / International Joint Conferences on Artificial Intelligence.
        July,
            2015.
        </p>
	
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				[125] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            From Classical to Consistent Query Answering under Existential Rules </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Andreas Pieris and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Blai Bonet and Sven Koenig, editors,
             
            <em>
            Proceedings of the 29th National Conference on Artificial Intelligence&#x201a; AAAI 2015&#x201a; Austin&#x201a; Texas&#x201a; USA&#x201a; January 25&#x2212;29&#x201a; 2015</em>.
        
                Pages 1546&#x2212;1552.
            AAAI Press.
        January,
            2015.
        </p>
	
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				[126] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Computing k&#x2212;Rank Answers with Ontological CP&#x2212;Nets </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia&#x201a; Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In Sergio Greco and Antonio Picariello, editors,
             
            <em>
            Proceedings of the 22nd Italian Symposium on Advanced Database Systems&#x201a; SEBD 2014&#x201a; Sorrento Coast&#x201a; Italy&#x201a; June 16&#x2212;18&#x201a; 2014</em>.
        2014.
        </p>
	
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		</div> 
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			<div class="col-xs-1 text-right">
				[127] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Computing k&#x2212;Rank Answers with Ontological CP&#x2212;Nets </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia&#x201a; Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In Thomas Lukasiewicz&#x201a; Rafael Pe&#xf1;aloza and Anni&#x2212;Yasmin Turhan, editors,
             
            <em>
            Proceedings of the 1st Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; PRUV 2014&#x201a; Vienna&#x201a; Austria&#x201a; July 23&#x2212;24&#x201a; 2014</em>.
        
            Vol. 1205
                of CEUR Workshop Proceedings.
        
                Pages 74&#x2212;87.
            CEUR&#x2212;WS.org.
        2014.
        </p>
	
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				[128] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Answering Ontological Ranking Queries Based on Subjective Reports </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Cristian Molinaro&#x201a; Livia Predoiu and Gerardo Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Thomas Lukasiewicz&#x201a; Rafael Pe&#xf1;aloza and Anni&#x2212;Yasmin Turhan, editors,
             
            <em>
            Proceedings of the 1st Workshop on Logics for Reasoning about Preferences&#x201a; Uncertainty&#x201a; and Vagueness&#x201a; PRUV 2014&#x201a; Vienna&#x201a; Austria&#x201a; July 23&#x2212;24&#x201a; 2014</em>.
        
            Vol. 1205
                of CEUR Workshop Proceedings.
        
                Pages 127&#x2212;140.
            CEUR&#x2212;WS.org.
        2014.
        </p>
	
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				[129] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Preference Logic Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Torsten Schaub&#x201a; Gerhard Friedrich and Barry O'Sullivan, editors,
             
            <em>
            Proceedings of the 21st European Conference on Artificial Intelligence&#x201a; ECAI 2014&#x201a; Prague&#x201a; Czech Republic&#x201a; August 18&#x2212;22&#x201a; 2014</em>.
        
            Vol. 263
                of Frontiers in Artificial Intelligence and Applications.
        
                Pages 561&#x2212;566.
            IOS Press.
        August,
            2014.
        </p>
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[130] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Datalog+&#x2044;&#x2212;: Questions and Answers </strong> </p>
	    <p class="publicationAuthors"> <em> Georg Gottlob&#x201a; Thomas Lukasiewicz and Andreas Pieris  </em> </p>
	
	<p class="publicationDetails"> 
            In Chitta Baral and Giuseppe De Giacomo, editors,
             
            <em>
            Proceedings of the 14th International Conference on the Principles of Knowledge Representation and Reasoning&#x201a; KR 2014&#x201a; Vienna&#x201a; Austria&#x201a; July 20&#x2212;24&#x201a; 2014</em>.
        
                Pages 682&#x2212;685.
            AAAI Press.
        2014.
        </p>
	
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		</div> 
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			<div class="col-xs-1 text-right">
				[131] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Improving Personalized Search on the Social Web Based on Similarities Between Users </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Thomas Lukasiewicz and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In Umberto Straccia and Andrea Cal&#xec;, editors,
             
            <em>
            Proceedings of the 8th International Conference on Scalable Uncertainty Management&#x201a; SUM 2014&#x201a; Oxford&#x201a; UK&#x201a; September 15&#x2212;17&#x201a; 2014</em>.
        
            Vol. 8720
                of Lecture Notes in Computer Science.
        
                Pages 306&#x2212;319.
            Springer.
        2014.
        </p>
	
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		</div> 
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			<div class="col-xs-1 text-right">
				[132] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Answering Ontological Ranking Queries based on Subjective Reports </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Cristian Molinaro&#x201a; Livia Predoiu and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Umberto Straccia and Andrea Cal&#xec;, editors,
             
            <em>
            Proceedings of the 8th International Conference on Scalable Uncertainty Management&#x201a; SUM 2014&#x201a; Oxford&#x201a; UK&#x201a; September 15&#x2212;17&#x201a; 2014</em>.
        
            Vol. 8720
                of Lecture Notes in Computer Science.
        
                Pages 223&#x2212;236.
            Springer.
        2014.
        </p>
	
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            		href="/publications/publication8810-abstract.html">
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		</div> 
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			<div class="col-xs-1 text-right">
				[133] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Stable Model Semantics for Guarded Existential Rules and Description Logics </strong> </p>
	    <p class="publicationAuthors"> <em> Georg Gottlob&#x201a; Andr&#xe9; Hernich&#x201a; Clemens Kupke and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Chitta Baral and Giuseppe De Giacomo, editors,
             
            <em>
            Proceedings of the 14th International Conference on the Principles of Knowledge Representation and Reasoning&#x201a; KR 2014&#x201a; Vienna&#x201a; Austria&#x201a; July 20&#x2212;24&#x201a; 2014</em>.
        
                Pages 258&#x2212;267.
            AAAI Press.
        July,
            2014.
        </p>
	
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            		href="/publications/publication8443-abstract.html">
			Details <span class="sr-only" > about <em> Stable Model Semantics for Guarded Existential Rules and Description Logics  </em></span> </a> |
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					| <a href="http://www.aaai.org/ocs/index.php/KR/KR14/paper/view/8011"> Link <span class="sr-only" > to <em> Stable Model Semantics for Guarded Existential Rules and Description Logics  </em></span> </a>
  				
		
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				[134] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Livia Predoiu  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Rommel N. Carvalho&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles and Michael Pool, editors,
             
            <em>
            Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2013&#x201a; Sydney&#x201a; Australia&#x201a; October 21&#x201a; 2013</em>.
        
            Vol. 1073
                of CEUR Workshop Proceedings.
        
                Pages 3&#x2212;14.
            CEUR&#x2212;WS.org.
        2013.
        </p>
	
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            		href="/publications/publication7943-abstract.html">
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				[135] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Combining CP&#x2212;Nets with the Power of Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Marie desJardins and Michael L. Littman, editors,
             
            <em>
            Proceedings of the 27th AAAI Conference on Artificial Intelligence&#x201a; AAAI 2013&#x201a; Late Breaking Papers&#x201a; Bellevue&#x201a; Washington&#x201a; USA&#x201a; July 14&#x2212;18&#x201a; 2013</em>.
        
            Vol. WS&#x2212;13&#x2212;17
                of AAAI Workshops.
        AAAI Press.
        2013.
        </p>
	
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				[136] 
			</div>

		
        
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			class="col-xs-11"
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	<p class="publicationTitle"> <strong>
            On Ontologies and CP&#x2212;Nets </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 21st Italian Symposium on Advanced Database Systems&#x201a; SEBD 2013&#x201a; Roccella Jonica&#x201a; Italy&#x201a; June 30 &#x2212; July 3&#x201a; 2013</em>.
        2013.
        </p>
	
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            		href="/publications/publication6992-abstract.html">
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		</div> 
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				[137] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Well&#x2212;Founded Semantics for Extended Datalog and Ontological Reasoning </strong> </p>
	    <p class="publicationAuthors"> <em> Andr&#xe9; Hernich&#x201a; Clemens Kupke&#x201a; Thomas Lukasiewicz and Georg Gottlob  </em> </p>
	
	<p class="publicationDetails"> 
            In Thomas Eiter&#x201a; Birte Glimm&#x201a; Yevgeny Kazakov and Markus Kr&#xf6;tzsch, editors,
             
            <em>
            Proceedings of the 26th International Workshop on Description Logics&#x201a; DL 2013&#x201a; Ulm&#x201a; Germany&#x201a; July 23&#x2212;26&#x201a; 2013</em>.
        
            Vol. 1014
                of CEUR Workshop Proceedings.
        
                Pages 209&#x2212;220.
            CEUR&#x2212;WS.org.
        2013.
        </p>
	
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				[138] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Reasoning with DL&#x2212;Based CP&#x2212;Nets </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia&#x201a; Thomas Lukasiewicz and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Thomas Eiter&#x201a; Birte Glimm&#x201a; Yevgeny Kazakov and Markus Kr&#xf6;tzsch, editors,
             
            <em>
            Proceedings of the 26th International Workshop on Description Logics&#x201a; DL 2013&#x201a; Ulm&#x201a; Germany&#x201a; July 23&#x2212;26&#x201a; 2013</em>.
        
            Vol. 1014
                of CEUR Workshop Proceedings.
        
                Pages 640&#x2212;651.
            CEUR&#x2212;WS.org.
        2013.
        </p>
	
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				[139] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Thomas Eiter&#x201a; Birte Glimm&#x201a; Yevgeny Kazakov and Markus Kr&#xf6;tzsch, editors,
             
            <em>
            Proceedings of the 26th International Workshop on Description Logics&#x201a; DL 2013&#x201a; Ulm&#x201a; Germany&#x201a; July 23&#x2212;26&#x201a; 2013</em>.
        
            Vol. 1014
                of CEUR Workshop Proceedings.
        
                Pages 791&#x2212;803.
            CEUR&#x2212;WS.org.
        2013.
        </p>
	
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            		href="/publications/publication6989-abstract.html">
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				[140] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preference&#x2212;Based Query Answering in Datalog+&#x2044;&#x2212; Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Thomas Eiter&#x201a; Birte Glimm&#x201a; Yevgeny Kazakov and Markus Kr&#xf6;tzsch, editors,
             
            <em>
            Proceedings of the 26th International Workshop on Description Logics&#x201a; DL 2013&#x201a; Ulm&#x201a; Germany&#x201a; July 23&#x2212;26&#x201a; 2013</em>.
        
            Vol. 1014
                of CEUR Workshop Proceedings.
        
                Pages 804&#x2212;815.
            CEUR&#x2212;WS.org.
        2013.
        </p>
	
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				[141] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preference&#x2212;Based Query Answering in Probabilistic Datalog+&#x2044;&#x2212; Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Robert Meersman&#x201a; Herv&#xe9; Panetto&#x201a; Tharam Dillon&#x201a; Johann Eder&#x201a; Zohra Bellahsene&#x201a; Norbert Ritter&#x201a; Pieter De Leenheer and Deijing Dou, editors,
             
            <em>
            Proceedings of the 12th International Conference on Ontologies&#x201a; Databases&#x201a; and Applications of Semantics&#x201a; ODBASE 2013&#x201a; Graz&#x201a; Austria&#x201a; September 10&#x2212;11&#x201a; 2013</em>.
        
            Vol. 8185
                of Lecture Notes in Computer Science.
        
                Pages 501&#x2212;518.
            Springer.
        2013.
        </p>
	
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            		href="/publications/publication6987-abstract.html">
			Details <span class="sr-only" > about <em> Preference&#x2212;Based Query Answering in Probabilistic Datalog+&#x2044;&#x2212; Ontologies  </em></span> </a> |
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				[142] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Robert Meersman&#x201a; Herv&#xe9; Panetto&#x201a; Tharam Dillon&#x201a; Johann Eder&#x201a; Zohra Bellahsene&#x201a; Norbert Ritter&#x201a; Pieter De Leenheer and Deijing Dou, editors,
             
            <em>
            Proceedings of the 12th International Conference on Ontologies&#x201a; Databases&#x201a; and Applications of Semantics&#x201a; ODBASE 2013&#x201a; Graz&#x201a; Austria&#x201a; September 10&#x2212;11&#x201a; 2013</em>.
        
            Vol. 8185
                of Lecture Notes in Computer Science.
        
                Pages 488&#x2212;500.
            Springer.
        2013.
        </p>
	
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            		href="/publications/publication6986-abstract.html">
			Details <span class="sr-only" > about <em> Complexity of Inconsistency&#x2212;Tolerant Query Answering in Datalog+&#x2044;&#x2212;  </em></span> </a> |
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[143] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Query Answering in Probabilistic Datalog+&#x2044;&#x2212; Ontologies under Group Preferences </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In Vijay Raghavan&#x201a; Xiaolin Hu&#x201a; Churn&#x2212;Jung and Liau Jan Treur, editors,
             
            <em>
            Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence&#x201a; WI 2013&#x201a; Atlanta&#x201a; GA&#x201a; USA&#x201a; November 17&#x2212;20&#x201a; 2013</em>.
        
                Pages 171&#x2212;178.
            IEEE Computer Society.
        2013.
        </p>
	
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            		href="/publications/publication6984-abstract.html">
			Details <span class="sr-only" > about <em> Query Answering in Probabilistic Datalog+&#x2044;&#x2212; Ontologies under Group Preferences  </em></span> </a> |
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[144] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Query Answering in Datalog+&#x2044;&#x2212; Ontologies under Group Preferences and Probabilistic Uncertainty </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In Quan Z. Sheng and Jesper Kjeldskov, editors,
             
            <em>
            Proceedings of the 2nd International Workshop on Data Management in the Social Semantic Web&#x201a; DMSSW 2013&#x201a; Aalborg&#x201a; Denmark&#x201a; July 8&#x201a; 2013</em>.
        
            Vol. 8295
                of Lecture Notes in Computer Science.
        
                Pages 192&#x2212;206.
            Springer.
        2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6983-abstract.html">
			Details <span class="sr-only" > about <em> Query Answering in Datalog+&#x2044;&#x2212; Ontologies under Group Preferences and Probabilistic Uncertainty  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-319-04244-2_18"> Link <span class="sr-only" > to <em> Query Answering in Datalog+&#x2044;&#x2212; Ontologies under Group Preferences and Probabilistic Uncertainty  </em></span> </a>
  				
		
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        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[145] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Reasoning with Semantic&#x2212;Enabled Qualitative Preferences </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia&#x201a; Thomas Lukasiewicz and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In V. S. Subrahmanian W. Liu and J. Wijsen, editors,
             
            <em>
            Proceedings of the 7th International Conference on Scalable Uncertainty Management&#x201a; SUM 2013&#x201a; Washington DC&#x201a; USA&#x201a; September 16&#x2212;18&#x201a; 2013</em>.
        
            Vol. 8078
                of Lecture Notes in Computer Science.
        
                Pages 374&#x2212;386.
            Springer.
        2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6982-abstract.html">
			Details <span class="sr-only" > about <em> Reasoning with Semantic&#x2212;Enabled Qualitative Preferences  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-642-40381-1_29"> Link <span class="sr-only" > to <em> Reasoning with Semantic&#x2212;Enabled Qualitative Preferences  </em></span> </a>
  				
		
		</div> 
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        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[146] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Group Preferences for Query Answering in Datalog+&#x2044;&#x2212; Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            In V. S. Subrahmanian W. Liu and J. Wijsen, editors,
             
            <em>
            Proceedings of the 7th International Conference on Scalable Uncertainty Management&#x201a; SUM 2013&#x201a; Washington DC&#x201a; USA&#x201a; September 16&#x2212;18&#x201a; 2013</em>.
        
            Vol. 8078
                of Lecture Notes in Computer Science.
        
                Pages 360&#x2212;373.
            Springer.
        2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6981-abstract.html">
			Details <span class="sr-only" > about <em> Group Preferences for Query Answering in Datalog+&#x2044;&#x2212; Ontologies  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-642-40381-1_28"> Link <span class="sr-only" > to <em> Group Preferences for Query Answering in Datalog+&#x2044;&#x2212; Ontologies  </em></span> </a>
  				
		
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[147] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preference&#x2212;Based Query Answering in Datalog+&#x2044;&#x2212; Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Francesca Rossi, editor,
             
            <em>
            Proceedings of the 23rd International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2013&#x201a; Beijing&#x201a; China&#x201a; August 3&#x2212;9&#x201a; 2013</em>.
        
                Pages 1017&#x2212;1023.
            AAAI Press / International Joint Conferences on Artificial Intelligence.
        2013.
        </p>
	
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            		href="/publications/publication6794-abstract.html">
			Details <span class="sr-only" > about <em> Preference&#x2212;Based Query Answering in Datalog+&#x2044;&#x2212; Ontologies  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[148] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Well&#x2212;Founded Semantics for Extended Datalog and Ontological Reasoning </strong> </p>
	    <p class="publicationAuthors"> <em> Andr&#xe9; Hernich&#x201a; Clemens Kupke&#x201a; Thomas Lukasiewicz and Georg Gottlob  </em> </p>
	
	<p class="publicationDetails"> 
            In Richard Hull and Wenfei Fan, editors,
             
            <em>
            Proceedings of the 32nd ACM Symposium on Principles of Database Systems&#x201a; PODS 2013&#x201a; New York&#x201a; New York&#x201a; USA&#x201a; June 22&#x2212;27&#x201a; 2013</em>.
        
                Pages 225&#x2212;236.
            ACM Press.
        2013.
        </p>
	
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            		href="/publications/publication6762-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[149] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Heuristic Ranking in Tightly Coupled Probabilistic Description Logics </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Giorgio Orsi and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Nando de Freitas and Kevin P. Murphy, editors,
             
            <em>
            Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence&#x201a; UAI 2012&#x201a; Catalina Island&#x201a; CA&#x201a; USA&#x201a; August 14&#x2212;18&#x201a; 2012</em>.
        
                Pages 554&#x2212;563.
            AUAI Press.
        2012.
        </p>
	
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            		href="/publications/publication6332-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[150] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Introducing Ontological CP&#x2212;Nets </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Rommel N. Carvalho&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles and Michael Pool, editors,
             
            <em>
            Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2012&#x201a; Boston&#x201a; USA&#x201a; November 11&#x201a; 2012</em>.
        
            Vol. 900
                of CEUR Workshop Proceedings.
        
                Pages 90&#x2212;93.
            CEUR&#x2212;WS.org.
        2012.
        </p>
	
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            		href="/publications/publication6330-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[151] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Consistent Answers in Probabilistic Datalog+&#x2044;&#x2212; Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Markus Kr&#xf6;tzsch and Umberto Straccia, editors,
             
            <em>
            Proceedings of the 6th International Conference on Web Reasoning and Rule Systems&#x201a; RR 2012&#x201a; Vienna&#x201a; Austria&#x201a; September 10&#x2212;12&#x201a; 2012</em>.
        
            Vol. 7497
                of Lecture Notes in Computer Science.
        
                Pages 156&#x2212;171.
            Springer.
        2012.
        </p>
	
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            		href="/publications/publication6328-abstract.html">
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					| <a href="http://dx.doi.org/10.1007/978-3-642-33203-6_12"> Link <span class="sr-only" > to <em> Consistent Answers in Probabilistic Datalog+&#x2044;&#x2212; Ontologies  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[152] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Inconsistency Handling in Datalog+&#x2044;&#x2212; Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Luc De Raedt&#x201a; Christian Bessi&#xe8;re&#x201a; Didier Dubois&#x201a; Patrick Doherty&#x201a; Paolo Frasconi&#x201a; Fredrik Heintz and Peter J. F. Lucas, editors,
             
            <em>
            Proceedings of the 20th European Conference on Artificial Intelligence&#x201a; ECAI 2012&#x201a; Montpellier&#x201a; France&#x201a; August 27&#x2212;31&#x201a; 2012</em>.
        
            Vol. 242
                of Frontiers in Artificial Intelligence and Applications.
        
                Pages 558&#x2212;563.
            IOS Press.
        2012.
        </p>
	
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            		href="/publications/publication6326-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[153] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Equality&#x2212;Friendly Well&#x2212;Founded Semantics and Applications to Description Logics </strong> </p>
	    <p class="publicationAuthors"> <em> Georg Gottlob&#x201a; Andr&#xe9; Hernich&#x201a; Clemens Kupke and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Yevgeny Kazakov&#x201a; Domenico Lembo and Frank Wolter, editors,
             
            <em>
            Proceedings of the 25th International Workshop on Description Logics&#x201a; DL 2012&#x201a; Rome&#x201a; Italy&#x201a; June 7&#x2212;10&#x201a; 2012</em>.
        
            Vol. 846
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2012.
        </p>
	
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            		href="/publications/publication6324-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[154] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Inconsistency&#x2212;Tolerant Query Rewriting for Linear Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Pablo Barcel&#xf3; and Reinhard Pichler, editors,
             
            <em>
            Proceedings of the 2nd International Workshop on Datalog in Academia and Industry&#x201a; Datalog 2.0&#x201a; Vienna&#x201a; Austria&#x201a; September 11&#x2212;13&#x201a; 2012</em>.
        
            Vol. 7494
                of Lecture Notes in Computer Science.
        
                Pages 123&#x2212;134.
            Springer.
        2012.
        </p>
	
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            		href="/publications/publication6322-abstract.html">
			Details <span class="sr-only" > about <em> Inconsistency&#x2212;Tolerant Query Rewriting for Linear Datalog+&#x2044;&#x2212;  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[155] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Equality&#x2212;Friendly Well&#x2212;Founded Semantics and Applications to Description Logics </strong> </p>
	    <p class="publicationAuthors"> <em> Georg Gottlob&#x201a; Andr&#xe9; Hernich&#x201a; Clemens Kupke and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In J. Hoffmann and B. Selman, editors,
             
            <em>
            Proceedings of the 26th National Conference on Artificial Intelligence&#x201a; AAAI 2012&#x201a; Toronto&#x201a; Ontario&#x201a; Canada&#x201a; July 2012</em>.
        AAAI Press.
        2012.
        </p>
	
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            		href="/publications/publication5980-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[156] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Datalog+&#x2044;&#x2212;: A Family of Languages for Ontology Querying </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob&#x201a; Thomas Lukasiewicz and Andreas Pieris  </em> </p>
	
	<p class="publicationDetails"> 
            In Oege de Moor&#x201a; Georg Gottlob&#x201a; Tim Furche and Andrew Jon Sellers, editors,
             
            <em>
            Datalog Reloaded &#x2212; 1st International Workshop&#x201a; Datalog 2010&#x201a; Oxford&#x201a; UK&#x201a; March 16&#x2212;19&#x201a; 2010. Revised Selected Papers</em>.
        
            Vol. 6702
                of Lecture Notes in Computer Science.
        
                Pages 351&#x2212;368.
            Springer.
        2011.
        </p>
	
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            		href="/publications/publication6640-abstract.html">
			Details <span class="sr-only" > about <em> Datalog+&#x2044;&#x2212;: A Family of Languages for Ontology Querying  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-642-24206-9_20"> Link <span class="sr-only" > to <em> Datalog+&#x2044;&#x2212;: A Family of Languages for Ontology Querying  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[157] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Conjunctive Query Answering in Probabilistic Datalog+&#x2044;&#x2212; Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Georg Gottlob&#x201a; Thomas Lukasiewicz and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            In Sebastian Rudolph and Claudio Gutierrez, editors,
             
            <em>
            Proceedings of the 5th International Conference on Web Reasoning and Rule Systems&#x201a; RR 2011&#x201a; Galway&#x201a; Ireland&#x201a; August 29&#x2212;30&#x201a; 2011</em>.
        
            Vol. 6902
                of Lecture Notes in Computer Science.
        
                Pages 77&#x2212;92.
            Springer.
        2011.
        </p>
	
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            		href="/publications/publication6581-abstract.html">
			Details <span class="sr-only" > about <em> Conjunctive Query Answering in Probabilistic Datalog+&#x2044;&#x2212; Ontologies  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[158] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Combining Semantic Web Search with the Power of Inductive Reasoning </strong> </p>
	    <p class="publicationAuthors"> <em> Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Bettina Fazzinga&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Amol Deshpande and Anthony Hunter, editors,
             
            <em>
            Proceedings of the 4th International Conference on Scalable Uncertainty Management&#x201a; SUM 2010&#x201a; Toulouse&#x201a; France&#x201a; September 27&#x2212;29&#x201a; 2010</em>.
        
            Vol. 6379
                of Lecture Notes in Computer Science.
        
                Pages 137&#x2212;150.
            Springer.
        2010.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6646-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[159] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Inductive Reasoning and Semantic Web Search </strong> </p>
	    <p class="publicationAuthors"> <em> Claudia d'Amato&#x201a; Floriana Esposito&#x201a; Nicola Fanizzi&#x201a; Bettina Fazzinga&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Sung Y. Shin&#x201a; Sascha Ossowski&#x201a; Michael Schumacher&#x201a; Mathew J. Palakal and Chih&#x2212;Cheng Hung, editors,
             
            <em>
            Proceedings of the 25th ACM Symposium on Applied Computing&#x201a; SAC 2010&#x201a; Sierre&#x201a; Switzerland&#x201a; March 22&#x2212;26&#x201a; 2010</em>.
        
                Pages 1446&#x2212;1447.
            ACM Press.
        2010.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6644-abstract.html">
			Details <span class="sr-only" > about <em> Inductive Reasoning and Semantic Web Search  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[160] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Semantic Web Search Based on Ontological Conjunctive Queries </strong> </p>
	    <p class="publicationAuthors"> <em> Bettina Fazzinga&#x201a; Giorgio Gianforme&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Sebastian Link and Henri Prade, editors,
             
            <em>
            Proceedings of the 6th International Symposium on the Foundations of Information and Knowledge Systems&#x201a; FoIKS 2010&#x201a; Sofia&#x201a; Bulgaria&#x201a; February 15&#x2212;19&#x201a; 2010</em>.
        
            Vol. 5956
                of Lecture Notes in Computer Science.
        
                Pages 153&#x2212;172.
            Springer.
        2010.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6642-abstract.html">
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[161] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Ontological Reasoning with F&#x2212;Logic Lite and its Extensions </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob&#x201a; Michael Kifer&#x201a; Thomas Lukasiewicz and Andreas Pieris  </em> </p>
	
	<p class="publicationDetails"> 
            In Maria Fox and David Poole, editors,
             
            <em>
            Proceedings of the 24th AAAI Conference on Artificial Intelligence&#x201a; AAAI 2010&#x201a; Atlanta&#x201a; Georgia&#x201a; USA&#x201a; July 11&#x2212;15&#x201a; 2010</em>.
        AAAI Press.
        2010.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6638-abstract.html">
			Details <span class="sr-only" > about <em> Ontological Reasoning with F&#x2212;Logic Lite and its Extensions  </em></span> </a> |
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					| <a href="http://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/view/1881/"> Link <span class="sr-only" > to <em> Ontological Reasoning with F&#x2212;Logic Lite and its Extensions  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[162] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Datalog+&#x2044;&#x2212;: A Family of Logical Knowledge Representation and Query Languages for New Applications </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob&#x201a; Thomas Lukasiewicz&#x201a; Bruno Marnette and Andreas Pieris  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 25th IEEE Symposium on Logic in Computer Science&#x201a; LICS 2010&#x201a; Edinburgh&#x201a; UK&#x201a; July 2010</em>.
        
                Pages 228&#x2013;242.
            IEEE Computer Society.
        2010.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication4747-abstract.html">
			Details <span class="sr-only" > about <em> Datalog+&#x2044;&#x2212;: A Family of Logical Knowledge Representation and Query Languages for New Applications  </em></span> </a> |
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					| <a href="http://doi.ieeecomputersociety.org/10.1109/LICS.2010.27"> Link <span class="sr-only" > to <em> Datalog+&#x2044;&#x2212;: A Family of Logical Knowledge Representation and Query Languages for New Applications  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[163] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Combining Boolean Games with the Power of Ontologies for Automated Multi&#x2212;attribute Negotiation in the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Azzurra Ragone  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology&#x201a; IAT 2009&#x201a; Milan&#x201a; Italy&#x201a; 15&#x2212;18 September 2009</em>.
        
                Pages 395&#x2212;402.
            IEEE Computer Society.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6636-abstract.html">
			Details <span class="sr-only" > about <em> Combining Boolean Games with the Power of Ontologies for Automated Multi&#x2212;attribute Negotiation in the Semantic Web  </em></span> </a> |
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					| <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5285146"> Link <span class="sr-only" > to <em> Combining Boolean Games with the Power of Ontologies for Automated Multi&#x2212;attribute Negotiation in the Semantic Web  </em></span> </a>
  				
		
		</div> 
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        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[164] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Combination of Boolean Games with Description Logics for Automated Multi&#x2212;Attribute Negotiation </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Azzurra Ragone  </em> </p>
	
	<p class="publicationDetails"> 
            In Bernardo Cuenca Grau&#x201a; Ian Horrocks&#x201a; Boris Motik and Ulrike Sattler, editors,
             
            <em>
            Proceedings of the 22nd International Workshop on Description Logics&#x201a; DL 2009&#x201a; Oxford&#x201a; UK&#x201a; July 27&#x2212;30&#x201a; 2009</em>.
        
            Vol. 477
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6635-abstract.html">
			Details <span class="sr-only" > about <em> A Combination of Boolean Games with Description Logics for Automated Multi&#x2212;Attribute Negotiation  </em></span> </a> |
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					| <a href="http://ceur-ws.org/Vol-477/paper_47.pdf"> Download (pdf)  <span class="sr-only" > of <em> A Combination of Boolean Games with Description Logics for Automated Multi&#x2212;Attribute Negotiation  </em></span>   </a>
  				
		
		</div> 
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			<div class="col-xs-1 text-right">
				[165] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Tractable Query Answering over Ontologies with Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Bernardo Cuenca Grau&#x201a; Ian Horrocks&#x201a; Boris Motik and Ulrike Sattler, editors,
             
            <em>
            Proceedings of the 22nd International Workshop on Description Logics&#x201a; DL 2009&#x201a; Oxford&#x201a; UK&#x201a; July 27&#x2212;30&#x201a; 2009</em>.
        
            Vol. 477
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6633-abstract.html">
			Details <span class="sr-only" > about <em> Tractable Query Answering over Ontologies with Datalog+&#x2044;&#x2212;  </em></span> </a> |
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					| <a href="http://ceur-ws.org/Vol-477/paper_46.pdf"> Download (pdf)  <span class="sr-only" > of <em> Tractable Query Answering over Ontologies with Datalog+&#x2044;&#x2212;  </em></span>   </a>
  				
		
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				[166] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo&#x2212;Metrics Induced by Local Models </strong> </p>
	    <p class="publicationAuthors"> <em> Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Floriana Esposito and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence&#x201a; WI 2009&#x201a; Milan&#x201a; Italy&#x201a; 15&#x2212;18 September 2009</em>.
        
                Pages 689&#x2212;692.
            IEEE Computer Society.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6627-abstract.html">
			Details <span class="sr-only" > about <em> Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo&#x2212;Metrics Induced by Local Models  </em></span> </a> |
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					| <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5284895"> Link <span class="sr-only" > to <em> Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo&#x2212;Metrics Induced by Local Models  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[167] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Uncertainty in the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Lluis Godo and Andrea Pugliese, editors,
             
            <em>
            Proceedings of the 3rd International Conference on Scalable Uncertainty Management&#x201a; SUM 2009&#x201a; Washington&#x201a; DC&#x201a; USA&#x201a; September 28&#x2212;30&#x201a; 2009</em>.
        
            Vol. 5785
                of Lecture Notes in Computer Science.
        
                Pages 2&#x2212;11.
            Springer.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6625-abstract.html">
			Details <span class="sr-only" > about <em> Uncertainty in the Semantic Web  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-642-04388-8_2"> Link <span class="sr-only" > to <em> Uncertainty in the Semantic Web  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[168] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Combining Semantic Web Search with the Power of Inductive Reasoning </strong> </p>
	    <p class="publicationAuthors"> <em> Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Bettina Fazzinga&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles&#x201a; Michael Pool and Pavel Smrz, editors,
             
            <em>
            Proceedings of the 5th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2009&#x201a; Washington DC&#x201a; USA&#x201a; October 26&#x201a; 2009</em>.
        
            Vol. 527
                of CEUR Workshop Proceedings.
        
                Pages 15&#x2212;26.
            CEUR&#x2212;WS.org.
        2009.
        </p>
	
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            		href="/publications/publication6623-abstract.html">
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		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[169] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A General Datalog&#x2212;Based Framework for Tractable Query Answering over Ontologies (Extended Abstract) </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Valeria De Antonellis&#x201a; Silvana Castano&#x201a; Barbara Catania and Giovanna Guerrini, editors,
             
            <em>
            Proceedings of the 17th Italian Symposium on Advanced Database Systems&#x201a; SEBD 2009&#x201a; Camogli&#x201a; Italy&#x201a; June 21&#x2212;24&#x201a; 2009</em>.
        
                Pages 29&#x2212;36.
            Edizioni Seneca.
        2009.
        </p>
	
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            		href="/publications/publication6621-abstract.html">
			Details <span class="sr-only" > about <em> A General Datalog&#x2212;Based Framework for Tractable Query Answering over Ontologies (Extended Abstract)  </em></span> </a> |
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	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[170] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Uncertainty Reasoning for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Axel Polleres and Terrance Swift, editors,
             
            <em>
            Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems&#x201a; RR 2009&#x201a; Chantilly&#x201a; VA&#x201a; USA&#x201a; October 25&#x2212;26&#x201a; 2009</em>.
        
            Vol. 5837
                of Lecture Notes in Computer Science.
        
                Pages 26&#x2212;39.
            Springer.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6619-abstract.html">
			Details <span class="sr-only" > about <em> Uncertainty Reasoning for the Semantic Web  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-642-05082-4_3"> Link <span class="sr-only" > to <em> Uncertainty Reasoning for the Semantic Web  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[171] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A General Datalog&#x2212;Based Framework for Tractable Query Answering over Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Jan Paredaens and Jianwen Su, editors,
             
            <em>
            Proceedings of the 28th ACM Symposium on Principles of Database Systems&#x201a; PODS 2009&#x201a; Providence&#x201a; Rhode Island&#x201a; USA&#x201a; June 19 &#x2212; July 1&#x201a; 2009</em>.
        
                Pages 77&#x2212;86.
            ACM Press.
        2009.
        </p>
	
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            		href="/publications/publication6617-abstract.html">
			Details <span class="sr-only" > about <em> A General Datalog&#x2212;Based Framework for Tractable Query Answering over Ontologies  </em></span> </a> |
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					| <a href="http://dl.acm.org/citation.cfm?doid=1559795.1559809"> Link <span class="sr-only" > to <em> A General Datalog&#x2212;Based Framework for Tractable Query Answering over Ontologies  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[172] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Inductive Query Answering and Concept Retrieval Exploiting Local Models </strong> </p>
	    <p class="publicationAuthors"> <em> Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Floriana Esposito and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 9th International Conference on Intelligent Systems Design and Applications&#x201a; ISDA 2009&#x201a; Pisa&#x201a; Italy&#x201a; November 30&#x2212;December 2&#x201a; 2009</em>.
        
                Pages 1209&#x2212;1214.
            IEEE Computer Society.
        2009.
        </p>
	
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            		href="/publications/publication6615-abstract.html">
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					| <a href="http://www.computer.org/csdl/proceedings/isda/2009/3872/00/3872b209-abs.html"> Link <span class="sr-only" > to <em> Inductive Query Answering and Concept Retrieval Exploiting Local Models  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[173] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Datalog<sup>&#177;</sup>: A Unified Approach to Ontologies and Integrity Constraints </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Ronald Fagin, editor,
             
            <em>
            Proceedings of the 12th International Conference on Database Theory&#x201a; ICDT 2009&#x201a; St. Petersburg&#x201a; Russia&#x201a; March 23&#x2212;25&#x201a; 2009</em>.
        
            Vol. 361
                of ACM International Conference Proceeding Series.
        
                Pages 14&#x2212;30.
            ACM Press.
        2009.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6613-abstract.html">
			Details <span class="sr-only" > about <em> Datalog<sup>&#177;</sup>: A Unified Approach to Ontologies and Integrity Constraints  </em></span> </a> |
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					| <a href="http://dl.acm.org/citation.cfm?doid=1514894.1514897"> Link <span class="sr-only" > to <em> Datalog<sup>&#177;</sup>: A Unified Approach to Ontologies and Integrity Constraints  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[174] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            A Framework for Representing Ontology Mappings under Probabilities and Inconsistency </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Thomas Lukasiewicz&#x201a; Livia Predoiu and Heiner Stuckenschmidt  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Francis Fung&#x201a; Thomas Lukasiewicz&#x201a; Trevor Martin&#x201a; Matthias Nickles&#x201a; Yun Peng&#x201a; Michael Pool&#x201a; Pavel Smrz and Peter Vojt&#xe1;s, editors,
             
            <em>
            Proceedings of the 3rd ISWC Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2007&#x201a; Busan&#x201a; Korea&#x201a; November 12&#x201a; 2007</em>.
        
            Vol. 327
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6671-abstract.html">
			Details <span class="sr-only" > about <em> A Framework for Representing Ontology Mappings under Probabilities and Inconsistency  </em></span> </a> |
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		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[175] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Tractable Reasoning with Bayesian Description Logics </strong> </p>
	    <p class="publicationAuthors"> <em> Claudia d'Amato&#x201a; Nicola Fanizzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Sergio Greco and Thomas Lukasiewicz, editors,
             
            <em>
            Proceedings of the 2nd International Conference on Scalable Uncertainty Management&#x201a; SUM 2008&#x201a; Naples&#x201a; Italy&#x201a; October 1&#x2212;3&#x201a; 2008</em>.
        
            Vol. 5291
                of Lecture Notes in Computer Science.
        
                Pages 146&#x2212;159.
            Springer.
        2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6659-abstract.html">
			Details <span class="sr-only" > about <em> Tractable Reasoning with Bayesian Description Logics  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-540-87993-0_13"> Link <span class="sr-only" > to <em> Tractable Reasoning with Bayesian Description Logics  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[176] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Combining Boolean Games with the Power of Ontologies for Automated Multi&#x2212;Attribute Negotiation in the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Azzurra Ragone  </em> </p>
	
	<p class="publicationDetails"> 
            In Rub&#xe9;n Lara Hernandez&#x201a; Tommaso Di Noia and Ioan Toma, editors,
             
            <em>
            Proceedings of the 2nd International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web&#x201a; SMRR 2008&#x201a; Karlsruhe&#x201a; Germany&#x201a; October 27&#x201a; 2008</em>.
        
            Vol. 416
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2008.
        </p>
	
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            		href="/publications/publication6657-abstract.html">
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					| <a href="http://ceur-ws.org/Vol-416/paper5.pdf"> Download (pdf)  <span class="sr-only" > of <em> Combining Boolean Games with the Power of Ontologies for Automated Multi&#x2212;Attribute Negotiation in the Semantic Web  </em></span>   </a>
  				
		
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				[177] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations </strong> </p>
	    <p class="publicationAuthors"> <em> Nicola Fanizzi&#x201a; Claudia d'Amato&#x201a; Floriana Esposito and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Fernando Bobillo&#x201a; Paulo Cesar G. da Costa&#x201a; Claudia d'Amato&#x201a; Nicola Fanizzi&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Thomas Lukasiewicz&#x201a; Trevor P. Martin&#x201a; Matthias Nickles&#x201a; Michael Pool and Pavel Smrz, editors,
             
            <em>
            Proceedings of the 4th International Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2008&#x201a; Karlsruhe&#x201a; Germany&#x201a; October 26&#x201a; 2008</em>.
        
            Vol. 423
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2008.
        </p>
	
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            		href="/publications/publication6655-abstract.html">
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					| <a href="http://ceur-ws.org/Vol-423/paper7.pdf"> Download (pdf)  <span class="sr-only" > of <em> Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations  </em></span>   </a>
  				
		
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				[178] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Representing Ontology Mappings with Probabilistic Description Logics Programs </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Thomas Lukasiewicz&#x201a; Livia Predoiu and Heiner Stuckenschmidt  </em> </p>
	
	<p class="publicationDetails"> 
            In Salvatore Gaglio&#x201a; Ignazio Infantino and Domenico Sacc&#xe0;, editors,
             
            <em>
            Proceedings of the 16th Italian Symposium on Advanced Database Systems&#x201a; SEBD 2008&#x201a; Mondello&#x201a; Italy&#x201a; June 22&#x2212;25&#x201a; 2008</em>.
        
                Pages 438&#x2212;445.
            2008.
        </p>
	
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				[179] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Thomas Lukasiewicz&#x201a; Livia Predoiu and Heiner Stuckenschmidt  </em> </p>
	
	<p class="publicationDetails"> 
            In Sven Hartmann and Gabriele Kern&#x2212;Isberner, editors,
             
            <em>
            Proceedings of the 5th International Symposium on the Foundations of Information and Knowledge Systems&#x201a; FoIKS 2008&#x201a; Pisa&#x201a; Italy&#x201a; February 11&#x2212;15&#x201a; 2008</em>.
        
            Vol. 4932
                of Lecture Notes in Computer Science.
        
                Pages 178&#x2212;198.
            Springer.
        2008.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6648-abstract.html">
			Details <span class="sr-only" > about <em> Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-540-77684-0_14"> Link <span class="sr-only" > to <em> Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings  </em></span> </a>
  				
		
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				[180] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Adaptive Multi&#x2212;agent Programming in GTGolog </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Christian Freksa&#x201a; Michael Kohlhase and Kerstin Schill, editors,
             
            <em>
            Proceedings of the 29th German Conference on Artificial Intelligence&#x201a; KI 2006&#x201a; Bremen&#x201a; Germany&#x201a; June 14&#x2212;17&#x201a; 2006</em>.
        
            Vol. 4314
                of Lecture Notes in Computer Science.
        
                Pages 389&#x2212;403.
            Springer.
        2007.
        </p>
	
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					| <a href="http://dx.doi.org/10.1007/978-3-540-69912-5_29"> Link <span class="sr-only" > to <em> Adaptive Multi&#x2212;agent Programming in GTGolog  </em></span> </a>
  				
		
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				[181] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Game&#x2212;Theoretic Agent Programming in Golog Under Partial Observability </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Christian Freksa&#x201a; Michael Kohlhase and Kerstin Schill, editors,
             
            <em>
            Proceedings of the 29th German Conference on Artificial Intelligence&#x201a; KI 2006&#x201a; Bremen&#x201a; Germany&#x201a; June 14&#x2212;17&#x201a; 2006</em>.
        
            Vol. 4314
                of Lecture Notes in Computer Science.
        
                Pages 113&#x2212;127.
            Springer.
        2007.
        </p>
	
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					| <a href="http://dx.doi.org/10.1007/978-3-540-69912-5_10"> Link <span class="sr-only" > to <em> Game&#x2212;Theoretic Agent Programming in Golog Under Partial Observability  </em></span> </a>
  				
		
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				[182] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Tractable Probabilistic Description Logic Programs </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Henri Prade and V. S. Subrahmanian, editors,
             
            <em>
            Proceedings of the 1st International Conference on Scalable Uncertainty Management&#x201a; SUM 2007&#x201a; Washington&#x201a; DC&#x201a; USA&#x201a; October 10&#x2212;12&#x201a; 2007</em>.
        
            Vol. 4772
                of Lecture Notes in Computer Science.
        
                Pages 143&#x2212;156.
            Springer.
        2007.
        </p>
	
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					| <a href="http://dx.doi.org/10.1007/978-3-540-75410-7_11"> Link <span class="sr-only" > to <em> Tractable Probabilistic Description Logic Programs  </em></span> </a>
  				
		
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				[183] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Top&#x2212;k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Umberto Straccia  </em> </p>
	
	<p class="publicationDetails"> 
            In Henri Prade and V. S. Subrahmanian, editors,
             
            <em>
            Proceedings of the 1st International Conference on Scalable Uncertainty Management&#x201a; SUM 2007&#x201a; Washington&#x201a; DC&#x201a; USA&#x201a; October 10&#x2212;12&#x201a; 2007</em>.
        
            Vol. 4772
                of Lecture Notes in Computer Science.
        
                Pages 16&#x2212;30.
            Springer.
        2007.
        </p>
	
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            		href="/publications/publication6673-abstract.html">
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					| <a href="http://dx.doi.org/10.1007/978-3-540-75410-7_2"> Link <span class="sr-only" > to <em> Top&#x2212;k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web  </em></span> </a>
  				
		
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				[184] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Tightly Integrated Fuzzy Description Logic Programs Under the Answer Set Semantics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Umberto Straccia  </em> </p>
	
	<p class="publicationDetails"> 
            In Massimo Marchiori&#x201a; Jeff Z. Pan and Christian de Sainte Marie, editors,
             
            <em>
            Proceedings of the 1st International Conference on Web Reasoning and Rule Systems&#x201a; RR 2007&#x201a; Innsbruck&#x201a; Austria&#x201a; June 7&#x2212;8&#x201a; 2007</em>.
        
            Vol. 4524
                of Lecture Notes in Computer Science.
        
                Pages 289&#x2212;298.
            Springer.
        2007.
        </p>
	
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				[185] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Team Programming in Golog under Partial Observability </strong> </p>
	    <p class="publicationAuthors"> <em> Alessandro Farinelli&#x201a; Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Manuela M. Veloso, editor,
             
            <em>
            Proceedings of the 20th International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2007&#x201a; Hyderabad&#x201a; India&#x201a; January 6&#x2212;12&#x201a; 2007</em>.
        
                Pages 2097&#x2212;2102.
            2007.
        </p>
	
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				[186] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec; and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Ver&#xf3;nica Dahl and Ilkka Niemel&#xe4;, editors,
             
            <em>
            Proceedings of the 23rd International Conference on Logic Programming&#x201a; ICLP 2007&#x201a; Porto&#x201a; Portugal&#x201a; September 8&#x2212;13&#x201a; 2007</em>.
        
            Vol. 4670
                of Lecture Notes in Computer Science.
        
                Pages 428&#x2212;429.
            Springer.
        2007.
        </p>
	
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            		href="/publications/publication6665-abstract.html">
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				[187] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Enrico Franconi&#x201a; Michael Kifer and Wolfgang May, editors,
             
            <em>
            Proceedings of the 4th European Semantic Web Conference&#x201a; ESWC 2007&#x201a; Innsbruck&#x201a; Austria&#x201a; June 3&#x2212;7&#x201a; 2007</em>.
        
            Vol. 4519
                of Lecture Notes in Computer Science.
        
                Pages 384&#x2212;398.
            Springer.
        2007.
        </p>
	
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            		href="/publications/publication6663-abstract.html">
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				[188] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Umberto Straccia  </em> </p>
	
	<p class="publicationDetails"> 
            In Khaled Mellouli, editor,
             
            <em>
            Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty&#x201a; ECSQARU 2007&#x201a; Hammamet&#x201a; Tunisia&#x201a; October 31 &#x2212; November 2&#x201a; 2007</em>.
        
            Vol. 4724
                of Lecture Notes in Computer Science.
        
                Pages 187&#x2212;198.
            Springer.
        2007.
        </p>
	
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            		href="/publications/publication6661-abstract.html">
			Details <span class="sr-only" > about <em> Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-540-75256-1_19"> Link <span class="sr-only" > to <em> Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness  </em></span> </a>
  				
		
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				[189] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Preferences&#x201a; Links&#x201a; and Probabilities for Ranking Objects in Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and J&#xf6;rg Schellhase  </em> </p>
	
	<p class="publicationDetails"> 
            In Paulo Cesar G. da Costa&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Francis Fung and Michael Pool, editors,
             
            <em>
            Proceedings of the 2nd ISWC Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2006&#x201a; Athens&#x201a; Georgia&#x201a; USA&#x201a; November 5&#x201a; 2006</em>.
        
            Vol. 218
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2006.
        </p>
	
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            		href="/publications/publication6689-abstract.html">
			Details <span class="sr-only" > about <em> Preferences&#x201a; Links&#x201a; and Probabilities for Ranking Objects in Ontologies  </em></span> </a> |
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				[190] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            An Approach to Probabilistic Data Integration for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec; and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Paulo Cesar G. da Costa&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey&#x201a; Francis Fung and Michael Pool, editors,
             
            <em>
            Proceedings of the 2nd ISWC Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2006&#x201a; Athens&#x201a; Georgia&#x201a; USA&#x201a; November 5&#x201a; 2006</em>.
        
            Vol. 218
                of CEUR Workshop Proceedings.
        CEUR&#x2212;WS.org.
        2006.
        </p>
	
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            		href="/publications/publication6687-abstract.html">
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				[191] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Thomas Eiter&#x201a; Enrico Franconi&#x201a; Ralph Hodgson and Susie Stephens, editors,
             
            <em>
            Proceedings of the 2nd International Conference on Rules and Rule Markup Languages for the Semantic Web&#x201a; RuleML 2006&#x201a; Athens&#x201a; Georgia&#x201a; USA&#x201a; November 10&#x2212;11&#x201a; 2006</em>.
        
                Pages 89&#x2212;96.
            IEEE Computer Society.
        2006.
        </p>
	
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				[192] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Variable&#x2212;Strength Conditional Preferences for Matchmaking in Description Logics </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and J&#xf6;rg Schellhase  </em> </p>
	
	<p class="publicationDetails"> 
            In Patrick Doherty&#x201a; John Mylopoulos and Christopher A. Welty, editors,
             
            <em>
            Proceedings of the 10th International Conference on the Principles of Knowledge Representation and Reasoning&#x201a; KR 2006&#x201a; Lake District&#x201a; UK&#x201a; June 2&#x2212;5&#x201a; 2006</em>.
        
                Pages 164&#x2212;174.
            AAAI Press.
        2006.
        </p>
	
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				[193] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Variable&#x2212;Strength Conditional Preferences for Ranking Objects in Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and J&#xf6;rg Schellhase  </em> </p>
	
	<p class="publicationDetails"> 
            In York Sure and John Domingue, editors,
             
            <em>
            Proceedings of the 3rd European Semantic Web Conference&#x201a; ESWC 2006&#x201a; Budva&#x201a; Montenegro&#x201a; June 11&#x2212;14&#x201a; 2006</em>.
        
            Vol. 4011
                of Lecture Notes in Computer Science.
        
                Pages 288&#x2212;302.
            Springer.
        2006.
        </p>
	
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					| <a href="http://dx.doi.org/10.1007/11762256_23"> Link <span class="sr-only" > to <em> Variable&#x2212;Strength Conditional Preferences for Ranking Objects in Ontologies  </em></span> </a>
  				
		
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				[194] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Adaptive Multi&#x2212;Agent Programming in GTGolog </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Gerhard Brewka&#x201a; Silvia Coradeschi&#x201a; Anna Perini and Paolo Traverso, editors,
             
            <em>
            Proceedings of the 17th European Conference on Artificial Intelligence&#x201a; ECAI 2006&#x201a; Riva del Garda&#x201a; Italy&#x201a; August 29 &#x2212; September 1&#x201a; 2006</em>.
        
            Vol. 141
                of Frontiers in Artificial Intelligence and Applications.
        
                Pages 753&#x2212;754.
            IOS Press.
        2006.
        </p>
	
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				[195] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Game&#x2212;Theoretic Agent Programming in Golog under Partial Observability </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In P. Gmytrasiewicz and S. Parsons, editors,
             
            <em>
            Proceedings of the IJCAI&#x2212;2005 Workshop on Game&#x2212;Theoretic and Decision&#x2212;Theoretic Agents&#x201a; GTDT 2005&#x201a; Edinburgh&#x201a; Scotland&#x201a; UK&#x201a; July 2005</em>.
        2005.
        </p>
	
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				[196] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Stratified Probabilistic Description Logic Programs </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Paulo Cesar G. da Costa&#x201a; Kathryn B. Laskey&#x201a; Kenneth J. Laskey and Michael Pool, editors,
             
            <em>
            Proceedings of the ISWC Workshop on Uncertainty Reasoning for the Semantic Web&#x201a; URSW 2005&#x201a; Galway&#x201a; Ireland&#x201a; November 7&#x201a; 2005</em>.
        
                Pages 87&#x2212;97.
            2005.
        </p>
	
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				[197] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Game&#x2212;Theoretic Reasoning About Actions in Nonmonotonic Causal Theories </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Chitta Baral&#x201a; Gianluigi Greco&#x201a; Nicola Leone and Giorgio Terracina, editors,
             
            <em>
            Proceedings of the 8th International Conference on Logic Programming and Nonmonotonic Reasoning&#x201a; LPNMR 2005&#x201a; Diamante&#x201a; Italy&#x201a; September 5&#x2212;8&#x201a; 2005</em>.
        
            Vol. 3662
                of Lecture Notes in Computer Science.
        
                Pages 185&#x2212;197.
            Springer.
        2005.
        </p>
	
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					| <a href="http://dx.doi.org/10.1007/11546207_15"> Link <span class="sr-only" > to <em> Game&#x2212;Theoretic Reasoning About Actions in Nonmonotonic Causal Theories  </em></span> </a>
  				
		
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				[198] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Nonmonotonic Probabilistic Logics under Variable&#x2212;Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Fabio Gagliardi Cozman&#x201a; Robert Nau and Teddy Seidenfeld, editors,
             
            <em>
            Proceedings of the 4th International Symposium on Imprecise Probabilities and their Applications&#x201a; ISIPTA 2005&#x201a; Pittsburgh&#x201a; PA&#x201a; USA&#x201a; July 20&#x2212;23&#x201a; 2005</em>.
        
                Pages 230&#x2212;239.
            SIPTA.
        2005.
        </p>
	
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				[199] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Description Logic Programs </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Lluis Godo, editor,
             
            <em>
            Proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty&#x201a; ECSQARU 2005&#x201a; Barcelona&#x201a; Spain&#x201a; July 6&#x2212;8&#x201a; 2005</em>.
        
            Vol. 3571
                of Lecture Notes in Computer Science.
        
                Pages 737&#x2212;749.
            Springer.
        2005.
        </p>
	
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            		href="/publications/publication6692-abstract.html">
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				[200] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Game&#x2212;Theoretic Golog under Partial Observability </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Frank Dignum&#x201a; Virginia Dignum&#x201a; Sven Koenig&#x201a; Sarit Kraus&#x201a; Munindar P. Singh and Michael Wooldridge, editors,
             
            <em>
            Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems&#x201a; AAMAS 2005&#x201a; Utrecht&#x201a; The Netherlands&#x201a; July 25&#x2212;29&#x201a; 2005</em>.
        
                Pages 1301&#x2212;1302.
            ACM Press.
        2005.
        </p>
	
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            		href="/publications/publication6690-abstract.html">
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					| <a href="http://doi.acm.org/10.1145/1082473.1082743"> Link <span class="sr-only" > to <em> Game&#x2212;Theoretic Golog under Partial Observability  </em></span> </a>
  				
		
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				[201] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Well&#x2212;Founded Semantics for Description Logic Programs in the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter&#x201a; Thomas Lukasiewicz&#x201a; Roman Schindlauer and Hans Tompits  </em> </p>
	
	<p class="publicationDetails"> 
            In Grigoris Antoniou and Harold Boley, editors,
             
            <em>
            Proceedings of the 3rd International Workshop on Rules and Rule Markup Languages for the Semantic Web&#x201a; RuleML 2004&#x201a; Hiroshima&#x201a; Japan&#x201a; November 8&#x201a; 2004</em>.
        
            Vol. 3323
                of Lecture Notes in Computer Science.
        
                Pages 81&#x2212;97.
            Springer.
        2004.
        </p>
	
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            		href="/publications/publication6710-abstract.html">
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				[202] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Qualitative and Probabilistic Uncertainty in Reasoning about Actions with Sensing </strong> </p>
	    <p class="publicationAuthors"> <em> Luca Iocchi&#x201a; Thomas Lukasiewicz&#x201a; Daniele Nardi and Riccardo Rosati  </em> </p>
	
	<p class="publicationDetails"> 
            In James P. Delgrande and Torsten Schaub, editors,
             
            <em>
            Proceedings of the 10th International Workshop on Non&#x2212;Monotonic Reasoning&#x201a; NMR 2004&#x201a; Whistler&#x201a; Canada&#x201a; June 6&#x2212;8&#x201a; 2004</em>.
        
                Pages 240&#x2212;248.
            2004.
        </p>
	
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            		href="/publications/publication6708-abstract.html">
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				[203] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Combining Answer Set Programming with Description Logics for the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter&#x201a; Thomas Lukasiewicz&#x201a; Roman Schindlauer and Hans Tompits  </em> </p>
	
	<p class="publicationDetails"> 
            In Didier Dubois&#x201a; Christopher A. Welty and Mary&#x2212;Anne Williams, editors,
             
            <em>
            Proceedings of the 9th International Conference on the Principles of Knowledge Representation and Reasoning&#x201a; KR 2004&#x201a; Whistler&#x201a; Canada&#x201a; June 2&#x2212;5&#x201a; 2004</em>.
        
                Pages 141&#x2212;151.
            AAAI Press.
        2004.
        </p>
	
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            		href="/publications/publication6707-abstract.html">
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				[204] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Weak Nonmonotonic Probabilistic Logics </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Didier Dubois&#x201a; Christopher A. Welty and Mary&#x2212;Anne Williams, editors,
             
            <em>
            Proceedings of the 9th International Conference on the Principles of Knowledge Representation and Reasoning&#x201a; KR 2004&#x201a; Whistler&#x201a; Canada&#x201a; June 2&#x2212;5&#x201a; 2004</em>.
        
                Pages 23&#x2212;33.
            AAAI Press.
        2004.
        </p>
	
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				[205] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Relational Markov Games </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Jos&#xe9; J&#xfa;lio Alferes and Jo&#xe3;o Alexandre Leite, editors,
             
            <em>
            Proceedings of the 9th European Conference on Logics in Artificial Intelligence&#x201a; JELIA 2004&#x201a; Lisbon&#x201a; Portugal&#x201a; September 27&#x2212;30&#x201a; 2004</em>.
        
            Vol. 3229
                of Lecture Notes in Computer Science.
        
                Pages 320&#x2212;333.
            Springer.
        2004.
        </p>
	
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            		href="/publications/publication6703-abstract.html">
			Details <span class="sr-only" > about <em> Relational Markov Games  </em></span> </a> |
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					| <a href="http://dx.doi.org/10.1007/978-3-540-30227-8_28"> Link <span class="sr-only" > to <em> Relational Markov Games  </em></span> </a>
  				
		
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				[206] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty </strong> </p>
	    <p class="publicationAuthors"> <em> Luca Iocchi&#x201a; Thomas Lukasiewicz&#x201a; Daniele Nardi and Riccardo Rosati  </em> </p>
	
	<p class="publicationDetails"> 
            In Ramon L&#xf3;pez de M&#xe1;ntaras and Lorenza Saitta, editors,
             
            <em>
            Proceedings of the 16th European Conference on Artificial Intelligence&#x201a; ECAI 2004&#x201a; Valencia&#x201a; Spain&#x201a; August 22&#x2212;27&#x201a; 2004</em>.
        
                Pages 818&#x2212;822.
            IOS Press.
        2004.
        </p>
	
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				[207] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Game&#x2212;Theoretic Agent Programming in Golog </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Ramon L&#xf3;pez de M&#xe1;ntaras and Lorenza Saitta, editors,
             
            <em>
            Proceedings of the 16th Eureopean Conference on Artificial Intelligence&#x201a; ECAI 2004&#x201a; Valencia&#x201a; Spain&#x201a; August 22&#x2212;27&#x201a; 2004</em>.
        
                Pages 23&#x2212;27.
            IOS Press.
        2004.
        </p>
	
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				[208] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Structure&#x2212;Based Causes and Explanations in the Independent Choice Logic </strong> </p>
	    <p class="publicationAuthors"> <em> Alberto Finzi and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Christopher Meek and Uffe Kj&#xe6;rulff, editors,
             
            <em>
            Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence&#x201a; UAI 2003&#x201a; Acapulco&#x201a; Mexico&#x201a; August 7&#x2212;10&#x201a; 2003</em>.
        
                Pages 225&#x2212;232.
            Morgan Kaufmann.
        2003.
        </p>
	
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				[209] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Christopher Meek and Uffe Kj&#xe6;rulff, editors,
             
            <em>
            Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence&#x201a; UAI 2003&#x201a; Acapulco&#x201a; Mexico&#x201a; August 7&#x2212;10&#x201a; 2003</em>.
        
                Pages 192&#x2212;199.
            Morgan Kaufmann.
        2003.
        </p>
	
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            		href="/publications/publication6714-abstract.html">
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				[210] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Lexicographic Entailment under Variable&#x2212;Strength Inheritance with Overriding </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Thomas D. Nielsen and Nevin Lianwen Zhang, editors,
             
            <em>
            Proceedings of the 7th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty&#x201a; ECSQARU 2003&#x201a; Aalborg&#x201a; Denmark&#x201a; July 2&#x2212;5&#x201a; 2003</em>.
        
            Vol. 2711
                of Lecture Notes in Computer Science.
        
                Pages 576&#x2212;587.
            Springer.
        2003.
        </p>
	
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            		href="/publications/publication6712-abstract.html">
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				[211] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Causes and Explanations in the Structural&#x2212;Model Approach : Tractable Cases </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Adnan Darwiche and Nir Friedman, editors,
             
            <em>
            Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence&#x201a; UAI 2002&#x201a; Edmonton&#x201a; Alberta&#x201a; Canada&#x201a; August 1&#x2212;4&#x201a; 2002</em>.
        
                Pages 146&#x2212;153.
            Morgan Kaufmann.
        2002.
        </p>
	
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            		href="/publications/publication6723-abstract.html">
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				[212] 
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	<p class="publicationTitle"> <strong>
            Nonmonotonic Probabilistic Logics between Model&#x2212;Theoretic Probabilistic Logic and Probabilistic Logic under Coherence </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Salem Benferhat and Enrico Giunchiglia, editors,
             
            <em>
            Proceedings of the 9th International Workshop on Non&#x2212;Monotonic Reasoning&#x201a; NMR 2002&#x201a; Toulouse&#x201a; France&#x201a; April 19&#x2212;21&#x201a; 2002</em>.
        
                Pages 265&#x2212;274.
            2002.
        </p>
	
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				[213] 
			</div>

		
        
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	<p class="publicationTitle"> <strong>
            Complexity Results for Explanations in the Structural&#x2212;Model Approach </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Dieter Fensel&#x201a; Fausto Giunchiglia&#x201a; Deborah L. McGuinness and Mary&#x2212;Anne Williams, editors,
             
            <em>
            Proceedings of the 8th International Conference on Principles and Knowledge Representation and Reasoning&#x201a; KR 2002&#x201a; Toulouse&#x201a; France&#x201a; April 22&#x2212;25&#x201a; 2002</em>.
        
                Pages 49&#x2212;60.
            Morgan Kaufmann.
        2002.
        </p>
	
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				[214] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            P&#x2212;SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web </strong> </p>
	    <p class="publicationAuthors"> <em> Rosalba Giugno and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Sergio Flesca&#x201a; Sergio Greco&#x201a; Nicola Leone and Giovambattista Ianni, editors,
             
            <em>
            Proceedings of the 8th European Conference on Logics in Artificial Intelligence&#x201a; JELIA 2002&#x201a; Cosenza&#x201a; Italy&#x201a; September 23&#x2212;26&#x201a; 2002</em>.
        
            Vol. 2424
                of Lecture Notes in Computer Science.
        
                Pages 86&#x2212;97.
            Springer.
        2002.
        </p>
	
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				[215] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Logic Programming under Inheritance with Overriding </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Jack S. Breese and Daphne Koller, editors,
             
            <em>
            Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence&#x201a; UAI 2001&#x201a; Seattle&#x201a; Washington&#x201a; USA&#x201a; August 2&#x2212;5&#x201a; 2001</em>.
        
                Pages 329&#x2212;336.
            Morgan Kaufmann.
        2001.
        </p>
	
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				[216] 
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		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Fixpoint Characterizations for Many&#x2212;Valued Disjunctive Logic Programs with Probabilistic Semantics </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Thomas Eiter&#x201a; Wolfgang Faber and Miroslaw Truszczynski, editors,
             
            <em>
            Proceedings of the 6th International Conference on Logic Programming and Nonmonotonic Reasoning&#x201a; LPNMR 2001&#x201a; Vienna&#x201a; Austria&#x201a; September 17&#x2212;19&#x201a; 2001</em>.
        
            Vol. 2173
                of Lecture Notes in Computer Science.
        
                Pages 336&#x2212;350.
            Springer.
        2001.
        </p>
	
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				[217] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Logic under Coherence: Complexity and Algorithms </strong> </p>
	    <p class="publicationAuthors"> <em> Veronica Biazzo&#x201a; Angelo Gilio&#x201a; Thomas Lukasiewicz and Giuseppe Sanfilippo  </em> </p>
	
	<p class="publicationDetails"> 
            In Gert De Cooman&#x201a; Terrence Fine and Teddy Seidenfeld, editors,
             
            <em>
            Proceedings of the 2nd International Symposium on Imprecise Probabilities and their Applications&#x201a; ISIPTA 2001&#x201a; Ithaca&#x201a; NY&#x201a; USA&#x201a; June 26&#x2212;29&#x201a; 2001</em>.
        
                Pages 51&#x2212;61.
            Shaker.
        2001.
        </p>
	
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				[218] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity Results for Structure&#x2212;Based Causality </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Bernhard Nebel, editor,
             
            <em>
            Proceedings of the 17th International Joint Conference on Artificial Intelligence&#x201a; IJCAI 2001&#x201a; Seattle&#x201a; Washington&#x201a; USA&#x201a; August 4&#x2212;10&#x201a; 2001</em>.
        
                Pages 35&#x2212;42.
            Morgan Kaufmann.
        2001.
        </p> <p
            class="publicationNote"> <font color="red">IJCAI&#x2212;01 Distinguished Paper Award</font> (best paper of 796 submitted and 197 accepted papers at IJCAI&#x2212;01).</p>
	
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            		href="/publications/publication6727-abstract.html">
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				[219] 
			</div>

		
        
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			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Logic under Coherence&#x201a; Model&#x2212;Theoretic Probabilistic Logic&#x201a; and Default Reasoning </strong> </p>
	    <p class="publicationAuthors"> <em> Veronica Biazzo&#x201a; Angelo Gilio&#x201a; Thomas Lukasiewicz and Giuseppe Sanfilippo  </em> </p>
	
	<p class="publicationDetails"> 
            In Salem Benferhat and Philippe Besnard, editors,
             
            <em>
            Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty&#x201a; ECSQARU 2001&#x201a; Toulouse&#x201a; France&#x201a; September 19&#x2212;21&#x201a; 2001</em>.
        
            Vol. 2143
                of Lecture Notes in Computer Science.
        
                Pages 290&#x2212;302.
            Springer.
        2001.
        </p>
	
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            		href="/publications/publication6725-abstract.html">
			Details <span class="sr-only" > about <em> Probabilistic Logic under Coherence&#x201a; Model&#x2212;Theoretic Probabilistic Logic&#x201a; and Default Reasoning  </em></span> </a> |
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				[220] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Default Reasoning with Conditional Constraints </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In C. Baral and M. Truszczynski, editors,
             
            <em>
            Proceedings of the 8th International Workshop on Non&#x2212;Monotonic Reasoning&#x201a; NMR 2000&#x201a; Breckenridge&#x201a; Colorado&#x201a; USA&#x201a; April 2000</em>.
        
            Vol. 5.
        
            No. 024.
        2000.
        </p>
	
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            		href="/publications/publication6768-abstract.html">
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				[221] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Credal Networks under Maximum Entropy </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Craig Boutilier and Mois&#xe9;s Goldszmidt, editors,
             
            <em>
            Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence&#x201a; UAI 2000&#x201a; Stanford&#x201a; California&#x201a; USA&#x201a; June 30 &#x2212; July 3&#x201a; 2000</em>.
        
                Pages 363&#x2212;370.
            Morgan Kaufmann.
        2000.
        </p>
	
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            		href="/publications/publication6741-abstract.html">
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				[222] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Complexity Results for Default Reasoning from Conditional Knowledge Bases </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Anthony G. Cohn&#x201a; Fausto Giunchiglia and Bart Selman, editors,
             
            <em>
            Proceedings of the 7th International Conference on the Principles of Knowledge Representation and Reasoning&#x201a; KR 2000&#x201a; Breckenridge&#x201a; Colorado&#x201a; USA&#x201a; April 11&#x2212;15&#x201a; 2000</em>.
        
                Pages 62&#x2212;73.
            Morgan Kaufmann.
        2000.
        </p>
	
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            		href="/publications/publication6739-abstract.html">
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				[223] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            New Tractable Cases in Default Reasoning from Conditional Knowledge Bases </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Manuel Ojeda&#x2212;Aciego&#x201a; Inman P. de Guzm&#xe1;n&#x201a; Gerhard Brewka and Lu&#xed;s Moniz Pereira, editors,
             
            <em>
            Proceedings of the 7th European Workshop on Logics in Artificial Intelligence&#x201a; JELIA 2000&#x201a; Malaga&#x201a; Spain&#x201a; September 29 &#x2212; October 2&#x201a; 2000</em>.
        
            Vol. 1919
                of Lecture Notes in Computer Science.
        
                Pages 313&#x2212;328.
            Springer.
        2000.
        </p>
	
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            		href="/publications/publication6737-abstract.html">
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					| <a href="http://dx.doi.org/10.1007/3-540-40006-0_22"> Link <span class="sr-only" > to <em> New Tractable Cases in Default Reasoning from Conditional Knowledge Bases  </em></span> </a>
  				
		
		</div> 
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				[224] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Extension of the Relational Algebra to Probabilistic Complex Values </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Eiter&#x201a; Thomas Lukasiewicz and Michael Walter  </em> </p>
	
	<p class="publicationDetails"> 
            In Klaus&#x2212;Dieter Schewe and Bernhard Thalheim, editors,
             
            <em>
            Proceedings of the 1st International Symposium on the Foundations of Information and Knowledge Systems&#x201a; FoIKS 2000&#x201a; Burg&#x201a; Germany&#x201a; February 14&#x2212;17&#x201a; 2000</em>.
        
            Vol. 1762
                of Lecture Notes in Computer Science.
        
                Pages 94&#x2212;115.
            Springer.
        2000.
        </p>
	
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            		href="/publications/publication6735-abstract.html">
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					| <a href="http://dx.doi.org/10.1007/3-540-46564-2_7"> Link <span class="sr-only" > to <em> Extension of the Relational Algebra to Probabilistic Complex Values  </em></span> </a>
  				
		
		</div> 
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				[225] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Many&#x2212;Valued First&#x2212;Order Logics with Probabilistic Semantics </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Georg Gottlob&#x201a; Etienne Grandjean and Katrin Seyr, editors,
             
            <em>
            Proceedings of the 12th International Workshop on Computer Science Logic&#x201a; CSL 1998&#x201a; Annual Conference of the EACSL&#x201a; Brno&#x201a; Czech Republic&#x201a; August 24&#x2212;28&#x201a; 1998</em>.
        
            Vol. 1584
                of Lecture Notes in Computer Science.
        
                Pages 415&#x2212;429.
            Springer.
        1999.
        </p>
	
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            		href="/publications/publication6748-abstract.html">
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					| <a href="http://dx.doi.org/10.1007/10703163_28"> Link <span class="sr-only" > to <em> Many&#x2212;Valued First&#x2212;Order Logics with Probabilistic Semantics  </em></span> </a>
  				
		
		</div> 
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			<div class="col-xs-1 text-right">
				[226] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Many&#x2212;Valued Disjunctive Logic Programs with Probabilistic Semantics </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Michael Gelfond&#x201a; Nicola Leone and Gerald Pfeifer, editors,
             
            <em>
            Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning&#x201a; LPNMR 1999&#x201a; El Paso&#x201a; Texas&#x201a; USA&#x201a; December 2&#x2212;4&#x201a; 1999</em>.
        
            Vol. 1730
                of Lecture Notes in Computer Science.
        
                Pages 277&#x2212;289.
            Springer.
        1999.
        </p>
	
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            		href="/publications/publication6746-abstract.html">
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				[227] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic and Truth&#x2212;Functional Many&#x2212;Valued Logic Programming </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 29th IEEE International Symposium on Multiple&#x2212;Valued Logic&#x201a; ISMVL 1999&#x201a; Freiburg&#x201a; Germany&#x201a; May 20&#x2212;22&#x201a; 1999</em>.
        
                Pages 236&#x2212;241.
            IEEE Computer Society.
        1999.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6745-abstract.html">
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		</div> 
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			<div class="col-xs-1 text-right">
				[228] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Logic Programming under Maximum Entropy </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz and Gabriele Kern&#x2212;Isberner  </em> </p>
	
	<p class="publicationDetails"> 
            In Anthony Hunter and Simon Parsons, editors,
             
            <em>
            Proceedings of the 5th European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty&#x201a; ECSQARU 1999&#x201a; London&#x201a; UK&#x201a; July 5&#x2212;9&#x201a; 1999</em>.
        
            Vol. 1638
                of Lecture Notes in Computer Science.
        
                Pages 279&#x2212;292.
            Springer.
        1999.
        </p>
	
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            		href="/publications/publication6743-abstract.html">
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		</div> 
	</div> 
	
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				[229] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Gregory F. Cooper and Seraf&#xed;n Moral, editors,
             
            <em>
            Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence&#x201a; UAI 1998&#x201a; Madison&#x201a; Wisconsin&#x201a; USA&#x201a; July 24&#x2212;26&#x201a; 1998</em>.
        
                Pages 354&#x2212;361.
            Morgan Kaufmann.
        1998.
        </p>
	
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            		href="/publications/publication6753-abstract.html">
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					| <a href="http://uai.sis.pitt.edu/displayArticleDetails.jsp?mmnu=1&smnu=2&article_id=267&proceeding_id=14"> Link <span class="sr-only" > to <em> Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge  </em></span> </a>
  				
		
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	</div> 
	
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			<div class="col-xs-1 text-right">
				[230] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Deduction with Conditional Constraints over Basic Events </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Anthony G. Cohn&#x201a; Lenhart K. Schubert and Stuart C. Shapiro, editors,
             
            <em>
            Proceedings of the 6th International Conference on Principles of Knowledge Representation and Reasoning&#x201a; KR 1998&#x201a; Trento&#x201a; Italy&#x201a; June 2&#x2212;5&#x201a; 1998</em>.
        
                Pages 380&#x2212;393.
            Morgan Kaufmann.
        1998.
        </p>
	
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            		href="/publications/publication6751-abstract.html">
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					| <a href="http://www.kr.tuwien.ac.at/staff/lukasiew/kr98.ps.gz"> Link <span class="sr-only" > to <em> Probabilistic Deduction with Conditional Constraints over Basic Events  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
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			<div class="col-xs-1 text-right">
				[231] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Probabilistic Logic Programming </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the 13th European Conference on Artificial Intelligence&#x201a; ECAI 1998&#x201a; Brighton&#x201a; UK&#x201a; August 1998</em>.
        
                Pages 388&#x2212;392.
            1998.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6750-abstract.html">
			Details <span class="sr-only" > about <em> Probabilistic Logic Programming  </em></span> </a> |
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					| <a href="http://www.kr.tuwien.ac.at/staff/lukasiew/ecai98.ps.gz"> Link <span class="sr-only" > to <em> Probabilistic Logic Programming  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[232] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge&#x2212;Bases over Conjunctive Events </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Forouzan Golshani and Kia Makki, editors,
             
            <em>
            Proceedings of the 6th International Conference on Information and Knowledge Management&#x201a; CIKM 1997&#x201a; Las Vegas&#x201a; Nevada&#x201a; November 10&#x2212;14&#x201a; 1997</em>.
        
                Pages 75&#x2212;82.
            ACM Press.
        1997.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6755-abstract.html">
			Details <span class="sr-only" > about <em> Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge&#x2212;Bases over Conjunctive Events  </em></span> </a> |
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					| <a href="http://doi.acm.org/10.1145/266714.266863"> Link <span class="sr-only" > to <em> Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge&#x2212;Bases over Conjunctive Events  </em></span> </a>
  				
		
		</div> 
	</div> 
	
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			<div class="col-xs-1 text-right">
				[233] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Uncertain Reasoning in Concept Lattices </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            In Christine Froidevaux and J&#xfc;rg Kohlas, editors,
             
            <em>
            Proceedings of the 3rd European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty&#x201a; ECSQARU 1995&#x201a; Fribourg&#x201a; Switzerland&#x201a; July 3&#x2212;5&#x201a; 1995</em>.
        
            Vol. 946
                of Lecture Notes in Computer Science.
        
                Pages 293&#x2212;300.
            Springer.
        1995.
        </p>
	
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            		href="/publications/publication6759-abstract.html">
			Details <span class="sr-only" > about <em> Uncertain Reasoning in Concept Lattices  </em></span> </a> |
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		</div> 
	</div> 
	
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	<div class="row">
		
			<div class="col-xs-1 text-right">
				[234] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            Taxonomic and Uncertain Integrity Constraints in Object&#x2212;Oriented Databases &#x2212; the TOP Approach </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Werner Kie&#xdf;ling&#x201a; Gerhard K&#xf6;stler and Ulrich G&#xfc;ntzer  </em> </p>
	
	<p class="publicationDetails"> 
            In Niki Pissinou&#x201a; Avi Silberschatz&#x201a; E. K. Park and Kia Makki, editors,
             
            <em>
            Proceedings of the 4th International Conference on Information and Knowledge Management&#x201a; CIKM 1995&#x201a; Baltimore&#x201a; Maryland&#x201a; USA&#x201a; November 28 &#x2212; December 2&#x201a; 1995</em>.
        
                Pages 241&#x2212;249.
            ACM Press.
        1995.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6757-abstract.html">
			Details <span class="sr-only" > about <em> Taxonomic and Uncertain Integrity Constraints in Object&#x2212;Oriented Databases &#x2212; the TOP Approach  </em></span> </a> |
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					| <a href="http://doi.acm.org/10.1145/221270.221580"> Link <span class="sr-only" > to <em> Taxonomic and Uncertain Integrity Constraints in Object&#x2212;Oriented Databases &#x2212; the TOP Approach  </em></span> </a>
  				
		
		</div> 
	</div> 
	
        </li><li>
	
	<div class="row">
		
			<div class="col-xs-1 text-right">
				[235] 
			</div>

		
        
		<div
			class="col-xs-11"
		>
			
	
	<p class="publicationTitle"> <strong>
            The TOP Database Model &#x2212; Taxonomy&#x201a; Object&#x2212;Orientation and Probability </strong> </p>
	    <p class="publicationAuthors"> <em> Werner Kie&#xdf;ling&#x201a; Thomas Lukasiewicz&#x201a; Gerhard K&#xf6;stler and Ulrich G&#xfc;ntzer  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            Proceedings of the International Workshop on Uncertainty in Databases and Deductive Systems&#x201a; Ithaca&#x201a; New York&#x201a; USA&#x201a; November 1994</em>.
        
                Pages 71&#x2212;82.
            1994.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication6763-abstract.html">
			Details <span class="sr-only" > about <em> The TOP Database Model &#x2212; Taxonomy&#x201a; Object&#x2212;Orientation and Probability  </em></span> </a> |
			<a href="/publications/publication6763.bib">
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					| <a href="http://www.kr.tuwien.ac.at/staff/lukasiew/wudds94.ps.gz"> Link <span class="sr-only" > to <em> The TOP Database Model &#x2212; Taxonomy&#x201a; Object&#x2212;Orientation and Probability  </em></span> </a>
  				
		
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        </li></ul><h2>
      Technical reports
      </h2><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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				[1] 
			</div>

		
        
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		>
			
	
	<p class="publicationTitle"> <strong>
            Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations </strong> </p>
	    <p class="publicationAuthors"> <em> Oana&#x2212;Maria Camburu&#x201a; Brendan Shillingford&#x201a; Pasquale Minervini&#x201a; Thomas Lukasiewicz and Phil Blunsom  </em> </p>
	
	<p class="publicationDetails"> 2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12792-abstract.html">
			Details <span class="sr-only" > about <em> Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations  </em></span> </a> |
			<a href="/publications/publication12792.bib">
			BibTeX  <span class="sr-only" > data for <em> Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations  </em></span>   </a>
			
			
					| <a href="http://arxiv.org/abs/1910.03065"> Link <span class="sr-only" > to <em> Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations  </em></span> </a>
  				
		
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				[2] 
			</div>

		
        
		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Can I Trust the Explainer? Verifying Post&#x2212;hoc Explanatory Methods </strong> </p>
	    <p class="publicationAuthors"> <em> Oana&#x2212;Maria Camburu&#x201a; Eleonora Giunchiglia&#x201a; Jakob Foerster&#x201a; Thomas Lukasiewicz and Phil Blunsom  </em> </p>
	
	<p class="publicationDetails"> 2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12791-abstract.html">
			Details <span class="sr-only" > about <em> Can I Trust the Explainer? Verifying Post&#x2212;hoc Explanatory Methods  </em></span> </a> |
			<a href="/publications/publication12791.bib">
			BibTeX  <span class="sr-only" > data for <em> Can I Trust the Explainer? Verifying Post&#x2212;hoc Explanatory Methods  </em></span>   </a>
			
			
					| <a href="http://arxiv.org/abs/1910.02065"> Link <span class="sr-only" > to <em> Can I Trust the Explainer? Verifying Post&#x2212;hoc Explanatory Methods  </em></span> </a>
  				
		
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				[3] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Ontology Reasoning with Deep Neural Networks </strong> </p>
	    <p class="publicationAuthors"> <em> Patrick Hohenecker and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12793-abstract.html">
			Details <span class="sr-only" > about <em> Ontology Reasoning with Deep Neural Networks  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Ontology Reasoning with Deep Neural Networks  </em></span>   </a>
			
			
					| <a href="http://arxiv.org/abs/1808.07980"> Link <span class="sr-only" > to <em> Ontology Reasoning with Deep Neural Networks  </em></span> </a>
  				
		
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				[4] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Deep Learning for Ontology Reasoning </strong> </p>
	    <p class="publicationAuthors"> <em> Patrick Hohenecker and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 2017.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12795-abstract.html">
			Details <span class="sr-only" > about <em> Deep Learning for Ontology Reasoning  </em></span> </a> |
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			BibTeX  <span class="sr-only" > data for <em> Deep Learning for Ontology Reasoning  </em></span>   </a>
			
			
					| <a href="http://arxiv.org/abs/1705.10342"> Link <span class="sr-only" > to <em> Deep Learning for Ontology Reasoning  </em></span> </a>
  				
		
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				[5] 
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	<p class="publicationTitle"> <strong>
            Hybrid Deep&#x2212;Semantic Matrix Factorization for Tag&#x2212;Aware Personalized Recommendation </strong> </p>
	    <p class="publicationAuthors"> <em> Zhenghua Xu&#x201a; Cheng Chen&#x201a; Thomas Lukasiewicz and Yishu Miao  </em> </p>
	
	<p class="publicationDetails"> 2017.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication12794-abstract.html">
			Details <span class="sr-only" > about <em> Hybrid Deep&#x2212;Semantic Matrix Factorization for Tag&#x2212;Aware Personalized Recommendation  </em></span> </a> |
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					| <a href="http://arxiv.org/abs/1708.03797"> Link <span class="sr-only" > to <em> Hybrid Deep&#x2212;Semantic Matrix Factorization for Tag&#x2212;Aware Personalized Recommendation  </em></span> </a>
  				
		
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				[6] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/ </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Livia Predoiu and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            No. RR&#x2212;15&#x2212;01.
        DCS.
        2015.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication9371-abstract.html">
			Details <span class="sr-only" > about <em> Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/  </em></span> </a> |
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				[7] 
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	<p class="publicationTitle"> <strong>
            A General Framework for Inconsistency&#x2212;Tolerant Query Answering in Datalog+&#x2044;&#x2212; </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 
            No. RR&#x2212;14&#x2212;04.
        DCS.
        2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8691-abstract.html">
			Details <span class="sr-only" > about <em> A General Framework for Inconsistency&#x2212;Tolerant Query Answering in Datalog+&#x2044;&#x2212;  </em></span> </a> |
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				[8] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Computing k&#x2212;Rank Answers with Ontological CP&#x2212;Nets </strong> </p>
	    <p class="publicationAuthors"> <em> Tommaso Di Noia&#x201a; Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            No. RR&#x2212;14&#x2212;03.
        DCS.
        2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8689-abstract.html">
			Details <span class="sr-only" > about <em> Computing k&#x2212;Rank Answers with Ontological CP&#x2212;Nets  </em></span> </a> |
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				[9] 
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		>
			
	
	<p class="publicationTitle"> <strong>
            Ontology&#x2212;Based Query Answering with Group Preferences </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Gerardo I. Simari and Oana Tifrea&#x2212;Marciuska  </em> </p>
	
	<p class="publicationDetails"> 
            No. RR&#x2212;14&#x2212;02.
        DCS.
        May,
            2014.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication8683-abstract.html">
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				[10] 
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		<div
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		>
			
	
	<p class="publicationTitle"> <strong>
            Top&#x2212;k Query Answering in Datalog+/ Ontologies under Subjective Reports </strong> </p>
	    <p class="publicationAuthors"> <em> Thomas Lukasiewicz&#x201a; Maria Vanina Martinez&#x201a; Cristian Molinaro&#x201a; Livia Predoiu and Gerardo I. Simari  </em> </p>
	
	<p class="publicationDetails"> 2013.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication9136-abstract.html">
			Details <span class="sr-only" > about <em> Top&#x2212;k Query Answering in Datalog+/ Ontologies under Subjective Reports  </em></span> </a> |
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					| <a href="http://arxiv.org/abs/1312.0032"> Link <span class="sr-only" > to <em> Top&#x2212;k Query Answering in Datalog+/ Ontologies under Subjective Reports  </em></span> </a>
  				
		
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				[11] 
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	<p class="publicationTitle"> <strong>
            A General Datalog&#x2212;Based Framework for Tractable Query Answering over Ontologies </strong> </p>
	    <p class="publicationAuthors"> <em> Andrea Cal&#xec;&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            No. RR&#x2212;10&#x2212;21.
        OUCL.
        March,
            2012.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication3960-abstract.html">
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	<p class="publicationTitle"> <strong>
            Semantic Web Search Based on Ontological Conjunctive Queries </strong> </p>
	    <p class="publicationAuthors"> <em> Bettina Fazzinga&#x201a; Giorgio Gianforme&#x201a; Georg Gottlob and Thomas Lukasiewicz  </em> </p>
	
	<p class="publicationDetails"> 
            No. RR&#x2212;11&#x2212;08.
        DCS.
        October,
            2011.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication5415-abstract.html">
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