Taxonomic and Uncertain Integrity Constraints in Object-Oriented Databases - the TOP Approach. - Thomas Lukasiewicz; Werner Kießling; Gerhard Köstler; Ulrich Güntzer (CIKM, 1995)

Uncertain Reasoning in Concept Lattices. - Thomas Lukasiewicz (ECSQARU, 1995)

Precision of probabilistic deduction under taxonomic knowledge. - Thomas Lukasiewicz (1996)

Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge-Bases over Conjunctive Events. - Thomas Lukasiewicz (CIKM, 1997)

Many-Valued First-Order Logics with Probabilistic Semantics. - Thomas Lukasiewicz (CSL, 1998)

Probabilistic Logic Programming. - Thomas Lukasiewicz (ECAI, 1998)

Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge. - Thomas Lukasiewicz (UAI, 1998)

Probalilistic Logic Programming under Maximum Entropy. - Thomas Lukasiewicz; Gabriele Kern-Isberner (ESCQARU, 1999)

Probabilistic and Truth-Functional Many-Valued Logic Programming. - Thomas Lukasiewicz (ISMVL, 1999)

Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. - Thomas Lukasiewicz (LPNMR, 1999)

Local probabilistic deduction from taxonomic and probabilistic knowledge-bases over conjunctive events. - Thomas Lukasiewicz (Int. J. Approx. Reason., 1999)

Probabilistic Deduction with Conditional Constraints over Basic Events. - Thomas Lukasiewicz (J. Artif. Intell. Res., 1999)

Extension of the Relational Algebra to Probabilistic Complex Values. - Thomas Eiter; Thomas Lukasiewicz; Michael Walter 008 (FoIKS, 2000)

New Tractable Cases in Default Reasoning from Conditional Knowledge Bases. - Thomas Eiter; Thomas Lukasiewicz (JELIA, 2000)

Complexity Results for Default Reasoning from Conditional Knowledge Bases. - Thomas Eiter; Thomas Lukasiewicz (KR, 2000)

Credal Networks under Maximum Entropy. - Thomas Lukasiewicz (UAI, 2000)

Default reasoning from conditional knowledge bases: Complexity and tractable cases. - Thomas Eiter; Thomas Lukasiewicz (Artif. Intell., 2000)

Probabilistic Logic under Coherence, Model-Theoretic Probabilistic Logic, and Default Reasoning. - Veronica Biazzo; Angelo Gilio; Thomas Lukasiewicz; Giuseppe Sanfilippo (ECSQARU, 2001)

Fixpoint Characterizations for Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. - Thomas Lukasiewicz (LPNMR, 2001)

Probabilistic Logic Programming under Inheritance with Overriding. - Thomas Lukasiewicz (UAI, 2001)

A data model and algebra for probabilistic complex values. - Thomas Eiter; Thomas Lukasiewicz; Michael Walter 008 (Ann. Math. Artif. Intell., 2001)

Probabilistic logic programming with conditional constraints. - Thomas Lukasiewicz (ACM Trans. Comput. Log., 2001)

Probabilistic object bases. - Thomas Eiter; James J. Lu; Thomas Lukasiewicz; V. S. Subrahmanian (ACM Trans. Database Syst., 2001)

P-SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web. - Rosalba Giugno; Thomas Lukasiewicz (JELIA, 2002)

Nonmonotonic probabilistic logics between model-theoretic probabilistic logic and probabilistic logic under coherence. - Thomas Lukasiewicz (NMR, 2002)

Complexity results for structure-based causality. - Thomas Eiter; Thomas Lukasiewicz (Artif. Intell., 2002)

Probabilistic Default Reasoning with Conditional Constraints. - Thomas Lukasiewicz (Ann. Math. Artif. Intell., 2002)

Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P. - Veronica Biazzo; Angelo Gilio; Thomas Lukasiewicz; Giuseppe Sanfilippo (J. Appl. Non Class. Logics, 2002)

Probabilistic Lexicographic Entailment under Variable-Strength Inheritance with Overriding. - Thomas Lukasiewicz (ECSQARU, 2003)

Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories. - Thomas Eiter; Thomas Lukasiewicz (UAI, 2003)

Structure-Based Causes and Explanations in the Independent Choice Logic. - Alberto Finzi; Thomas Lukasiewicz (UAI, 2003)

Temporal Probabilistic Object Bases. - Veronica Biazzo; Rosalba Giugno; Thomas Lukasiewicz; V. S. Subrahmanian (IEEE Trans. Knowl. Data Eng., 2003)

Game-Theoretic Agent Programming in Golog. - Alberto Finzi; Thomas Lukasiewicz (ECAI, 2004)

Relational Markov Games. - Alberto Finzi; Thomas Lukasiewicz (JELIA, 2004)

Combining Answer Set Programming with Description Logics for the Semantic Web. - Thomas Eiter; Thomas Lukasiewicz; Roman Schindlauer; Hans Tompits (KR, 2004)

Qualitative and probabilistic uncertainty in reasoning about actions with sensing. - Luca Iocchi; Thomas Lukasiewicz; Daniele Nardi; Riccardo Rosati 001 (NMR, 2004)

Well-Founded Semantics for Description Logic Programs in the Semantic Web. - Thomas Eiter; Thomas Lukasiewicz; Roman Schindlauer; Hans Tompits (RuleML, 2004)

Complexity results for explanations in the structural-model approach. - Thomas Eiter; Thomas Lukasiewicz (Artif. Intell., 2004)

Combining probabilistic logic programming with the power of maximum entropy. - Gabriele Kern-Isberner; Thomas Lukasiewicz (Artif. Intell., 2004)

Game theoretic Golog under partial observability. - Alberto Finzi; Thomas Lukasiewicz (AAMAS, 2005)

Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG. - Thomas Lukasiewicz (ISIPTA, 2005)

Game-Theoretic Reasoning About Actions in Nonmonotonic Causal Theories. - Alberto Finzi; Thomas Lukasiewicz (LPNMR, 2005)

Stratified Probabilistic Description Logic Programs. - Thomas Lukasiewicz (ISWC-URSW, 2005)

Weak nonmonotonic probabilistic logics. - Thomas Lukasiewicz (Artif. Intell., 2005)

Probabilistic logic under coherence: complexity and algorithms. - Veronica Biazzo; Angelo Gilio; Thomas Lukasiewicz; Giuseppe Sanfilippo (Ann. Math. Artif. Intell., 2005)

Nonmonotonic probabilistic reasoning under variable-strength inheritance with overriding. - Thomas Lukasiewicz (Synth., 2005)

Game-Theoretic Agent Programming in Golog Under Partial Observability. - Alberto Finzi; Thomas Lukasiewicz (KI, 2006)

Adaptive Multi-agent Programming in GTGolog. - Alberto Finzi; Thomas Lukasiewicz (KI, 2006)

Variable-Strength Conditional Preferences for Matchmaking in Description Logics. - Thomas Lukasiewicz; Jörg Schellhase (KR, 2006)

An Approach to Probabilistic Data Integration for the Semantic Web. - Andrea Calì; Thomas Lukasiewicz (URSW, 2006)

Preferences, Links, and Probabilities for Ranking Objects in Ontologies. - Thomas Lukasiewicz; Jörg Schellhase (URSW, 2006)

Causes and explanations in the structural-model approach: Tractable cases. - Thomas Eiter; Thomas Lukasiewicz (Artif. Intell., 2006)

Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web. - Andrea Calì; Thomas Lukasiewicz (ICLP, 2007)

Team Programming in Golog under Partial Observability. - Alessandro Farinelli; Alberto Finzi; Thomas Lukasiewicz (IJCAI, 2007)

Tightly Integrated Fuzzy Description Logic Programs Under the Answer Set Semantics for the Semantic Web. - Thomas Lukasiewicz; Umberto Straccia (RR, 2007)

A Framework for Representing Ontology Mappings under Probabilities and Inconsistency. - Andrea Calì; Thomas Lukasiewicz; Livia Predoiu; Heiner Stuckenschmidt (URSW, 2007)

Tractable Probabilistic Description Logic Programs. - Thomas Lukasiewicz (SUM, 2007)

Top-k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web. - Thomas Lukasiewicz; Umberto Straccia (SUM, 2007)

Reasoning with imprecise probabilities. - Andrés Cano; Fábio Gagliardi Cozman; Thomas Lukasiewicz (Int. J. Approx. Reason., 2007)

Nonmonotonic probabilistic logics under variable-strength inheritance with overriding: Complexity, algorithms, and implementation. - Thomas Lukasiewicz (Int. J. Approx. Reason., 2007)

Probabilistic description logic programs. - Thomas Lukasiewicz (Int. J. Approx. Reason., 2007)

Variable-strength conditional preferences for ranking objects in ontologies. - Thomas Lukasiewicz; Jörg Schellhase (J. Web Semant., 2007)

Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings. - Andrea Calì; Thomas Lukasiewicz; Livia Predoiu; Heiner Stuckenschmidt (FoIKS, 2008)

Representing Ontology Mappings with Probabilistic Description Logics Programs. - Andrea Calì; Thomas Lukasiewicz; Livia Predoiu; Heiner Stuckenschmidt (SEBD, 2008)

Rule-Based Approaches for Representing Probabilistic Ontology Mappings. - Andrea Calì; Thomas Lukasiewicz; Livia Predoiu; Heiner Stuckenschmidt (URSW (LNCS Vol.), 2008)

Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web. - Thomas Lukasiewicz; Azzurra Ragone (SMRR, 2008)

Tractable Reasoning with Bayesian Description Logics. - Claudia d'Amato; Nicola Fanizzi; Thomas Lukasiewicz (SUM, 2008)

Combining answer set programming with description logics for the Semantic Web. - Thomas Eiter; Giovambattista Ianni; Thomas Lukasiewicz; Roman Schindlauer; Hans Tompits (Artif. Intell., 2008)

Expressive probabilistic description logics. - Thomas Lukasiewicz (Artif. Intell., 2008)

Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. - Thomas Lukasiewicz (Fundam. Informaticae, 2008)

Logical approaches to imprecise probabilities. - Thomas Lukasiewicz (Int. J. Approx. Reason., 2008)

Probabilistic description logic programs under inheritance with overriding for the Semantic Web. - Thomas Lukasiewicz (Int. J. Approx. Reason., 2008)

Using search strategies and a description logic paradigm with conditional preferences for literature search. - Jörg Schellhase; Thomas Lukasiewicz (Int. J. Metadata Semant. Ontologies, 2008)

Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. - Thomas Lukasiewicz; Umberto Straccia (Int. J. Semantic Web Inf. Syst., 2008)

Managing uncertainty and vagueness in description logics for the Semantic Web. - Thomas Lukasiewicz; Umberto Straccia (J. Web Semant., 2008)

Datalog Extensions for Tractable Query Answering over Ontologies. - Andrea Calì; Georg Gottlob; Thomas Lukasiewicz (Semantic Web Information Management, 2009)

Tractable Query Answering over Ontologies with Datalog+/-. - Andrea Calì; Georg Gottlob; Thomas Lukasiewicz (Description Logics, 2009)

A Combination of Boolean Games with Description Logics for Automated Multi-Attribute Negotiation. - Thomas Lukasiewicz; Azzurra Ragone (Description Logics, 2009)

Datalog±: a unified approach to ontologies and integrity constraints. - Andrea Calì; Georg Gottlob; Thomas Lukasiewicz (ICDT, 2009)

Inductive Query Answering and Concept Retrieval Exploiting Local Models. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito; Thomas Lukasiewicz (ISDA, 2009)

A General Datalog-Based Framework for Tractable Query Answering over Ontologies (extended abstract). - Andrea Calì; Georg Gottlob; Thomas Lukasiewicz (SEBD, 2009)

Combining Semantic Web Search with the Power of Inductive Reasoning. - Claudia d'Amato; Nicola Fanizzi; Bettina Fazzinga; Georg Gottlob; Thomas Lukasiewicz (URSW, 2009)

Uncertainty in the Semantic Web. - Thomas Lukasiewicz (SUM, 2009)

Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito; Thomas Lukasiewicz (Web Intelligence, 2009)

Description logic programs under probabilistic uncertainty and fuzzy vagueness. - Thomas Lukasiewicz; Umberto Straccia (Int. J. Approx. Reason., 2009)

Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web. - Andrea Calì; Thomas Lukasiewicz; Livia Predoiu; Heiner Stuckenschmidt (J. Data Semant., 2009)

Reasoning about actions with sensing under qualitative and probabilistic uncertainty. - Luca Iocchi; Thomas Lukasiewicz; Daniele Nardi; Riccardo Rosati 001 (ACM Trans. Comput. Log., 2009)

Hybrid Reasoning with Rules and Ontologies. - Wlodzimierz Drabent; Thomas Eiter; Giovambattista Ianni; Thomas Krennwallner; Thomas Lukasiewicz; Jan Maluszynski (REWERSE, 2009)

Ontological Reasoning with F-logic Lite and its Extensions. - Andrea Calì; Georg Gottlob; Michael Kifer; Thomas Lukasiewicz; Andreas Pieris (AAAI, 2010)

Datalog+/-: A Family of Languages for Ontology Querying. - Andrea Calì; Georg Gottlob; Thomas Lukasiewicz; Andreas Pieris (Datalog, 2010)

Datalog+/-: A Family of Logical Knowledge Representation and Query Languages for New Applications. - Andrea Calì; Georg Gottlob; Thomas Lukasiewicz; Bruno Marnette; Andreas Pieris (LICS, 2010)

Inductive reasoning and semantic web search. - Claudia d'Amato; Floriana Esposito; Nicola Fanizzi; Bettina Fazzinga; Georg Gottlob; Thomas Lukasiewicz (SAC, 2010)

Semantic search on the Web. - Bettina Fazzinga; Thomas Lukasiewicz (Semantic Web, 2010)

A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web. - Thomas Lukasiewicz (IEEE Trans. Knowl. Data Eng., 2010)

Conjunctive Query Answering in Probabilistic Datalog+/- Ontologies. - Georg Gottlob; Thomas Lukasiewicz; Gerardo I. Simari (RR, 2011)

Answering Threshold Queries in Probabilistic Datalog+/- Ontologies. - Georg Gottlob; Thomas Lukasiewicz; Gerardo I. Simari (SUM, 2011)

Tightly integrated probabilistic description logic programs for representing ontology mappings. - Thomas Lukasiewicz; Livia Predoiu; Heiner Stuckenschmidt (Ann. Math. Artif. Intell., 2011)

A logical toolbox for ontological reasoning. - Andrea Calì; Georg Gottlob; Thomas Lukasiewicz; Andreas Pieris (SIGMOD Rec., 2011)

Well-founded semantics for description logic programs in the semantic web. - Thomas Eiter; Giovambattista Ianni; Thomas Lukasiewicz; Roman Schindlauer (ACM Trans. Comput. Log., 2011)

Semantic Web search based on ontological conjunctive queries. - Bettina Fazzinga; Giorgio Gianforme; Georg Gottlob; Thomas Lukasiewicz (J. Web Semant., 2011)

Equality-Friendly Well-Founded Semantics and Applications to Description Logics. - Georg Gottlob; André Hernich; Clemens Kupke; Thomas Lukasiewicz (AAAI, 2012)

Inconsistency-Tolerant Query Rewriting for Linear Datalog+/-. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari (Datalog, 2012)

Inconsistency Handling in Datalog+/- Ontologies. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari (ECAI, 2012)

Consistent Answers in Probabilistic Datalog+/- Ontologies. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari (RR, 2012)

Introducing Ontological CP-Nets. - Tommaso Di Noia; Thomas Lukasiewicz (URSW, 2012)

Heuristic Ranking in Tightly Coupled Probabilistic Description Logics. - Thomas Lukasiewicz; Maria Vanina Martinez; Giorgio Orsi 001; Gerardo I. Simari (UAI, 2012)

Preface. - Sergio Greco; Thomas Lukasiewicz (Ann. Math. Artif. Intell., 2012)

Ontology-based semantic search on the Web and its combination with the power of inductive reasoning. - Claudia d'Amato; Nicola Fanizzi; Bettina Fazzinga; Georg Gottlob; Thomas Lukasiewicz (Ann. Math. Artif. Intell., 2012)

A general Datalog-based framework for tractable query answering over ontologies. - Andrea Calì; Georg Gottlob; Thomas Lukasiewicz (J. Web Semant., 2012)

Combining CP-Nets with the Power of Ontologies. - Tommaso Di Noia; Thomas Lukasiewicz (AAAI (Late-Breaking Developments), 2013)

Well-Founded Semantics for Extended Datalog and Ontological Reasoning. - André Hernich; Clemens Kupke; Thomas Lukasiewicz; Georg Gottlob (Description Logics, 2013)

Complexity of Inconsistency-Tolerant Query Answering in Datalog+/-. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari (Description Logics, 2013)

Reasoning with DL-based CP-nets. - Tommaso Di Noia; Thomas Lukasiewicz; Gerardo I. Simari (Description Logics, 2013)

Query Answering in Datalog+/- Ontologies under Group Preferences and Probabilistic Uncertainty. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Oana Tifrea-Marciuska (ICWE Workshops, 2013)

Preference-Based Query Answering in Datalog+/- Ontologies. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo Ignacio Simari (IJCAI, 2013)

Preference-Based Query Answering in Probabilistic Datalog+/- Ontologies. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari (OTM Conferences, 2013)

Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013. - Marco de Gemmis; Tommaso Di Noia; Ora Lassila; Pasquale Lops; Thomas Lukasiewicz; Giovanni Semeraro (RecSys, 2013)

On Ontologies and CP-Nets. - Tommaso Di Noia; Thomas Lukasiewicz (SEBD, 2013)

Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/-. - Thomas Lukasiewicz; Livia Predoiu (URSW, 2013)

Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. - Claudia d'Amato; Nicola Fanizzi; Floriana Esposito; Thomas Lukasiewicz (URSW (LNCS Vol.), 2013)

Semantic Web Search and Inductive Reasoning. - Claudia d'Amato; Nicola Fanizzi; Bettina Fazzinga; Georg Gottlob; Thomas Lukasiewicz (URSW (LNCS Vol.), 2013)

Group Preferences for Query Answering in Datalog+/- Ontologies. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Oana Tifrea-Marciuska (SUM, 2013)

Reasoning with Semantic-Enabled Qualitative Preferences. - Tommaso Di Noia; Thomas Lukasiewicz; Gerardo I. Simari (SUM, 2013)

Query Answering in Probabilistic Datalog+/- Ontologies under Group Preferences. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Oana Tifrea-Marciuska (Web Intelligence, 2013)

Query answering under probabilistic uncertainty in Datalog+ / - ontologies. - Georg Gottlob; Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari (Ann. Math. Artif. Intell., 2013)

Top-k Query Answering in Datalog+/- Ontologies under Subjective Reports (Technical Report). - Thomas Lukasiewicz; Maria Vanina Martinez; Cristian Molinaro; Livia Predoiu; Gerardo I. Simari (CoRR, 2013)

Preface. - Diego Calvanese; Thomas Lukasiewicz (Semantic Web, 2013)

Tractable Probabilistic Description Logic Programs. - Thomas Lukasiewicz; Gerardo I. Simari (Advances in Probabilistic Databases for Uncertain Information Management, 2013)

Probabilistic Preference Logic Networks. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari (ECAI, 2014)

Stable Model Semantics for Guarded Existential Rules and Description Logics. - Georg Gottlob; André Hernich; Clemens Kupke; Thomas Lukasiewicz (KR, 2014)

Datalog+/-: Questions and Answers. - Georg Gottlob; Thomas Lukasiewicz; Andreas Pieris (KR, 2014)

Computing k-rank answers with Ontological CP-Nets. - Tommaso Di Noia; Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Oana Tifrea-Marciuska (SEBD, 2014)

Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/-. - Thomas Lukasiewicz; Maria Vanina Martinez; Livia Predoiu; Gerardo I. Simari (URSW (LNCS Vol.), 2014)

Ontological CP-Nets. - Tommaso Di Noia; Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Oana Tifrea-Marciuska (URSW (LNCS Vol.), 2014)

Answering Ontological Ranking Queries Based on Subjective Reports. - Thomas Lukasiewicz; Maria Vanina Martínez; Cristian Molinaro; Livia Predoiu; Gerardo I. Simari (SUM, 2014)

Improving Personalized Search on the Social Web Based on Similarities between Users. - Zhenghua Xu 001; Thomas Lukasiewicz; Oana Tifrea-Marciuska (SUM, 2014)

Ontology-Based Query Answering with Group Preferences. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Oana Tifrea-Marciuska (ACM Trans. Internet Techn., 2014)

From Classical to Consistent Query Answering under Existential Rules. - Thomas Lukasiewicz; Maria Vanina Martinez; Andreas Pieris; Gerardo I. Simari (AAAI, 2015)

Answering EL Queries in the Presence of Preferences. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Rafael Peñaloza (Description Logics, 2015)

Combining Existential Rules with the Power of CP-Theories. - Tommaso Di Noia; Thomas Lukasiewicz; Maria Vanina Martínez; Gerardo I. Simari; Oana Tifrea-Marciuska (IJCAI, 2015)

Preference Queries with Ceteris Paribus Semantics for Linked Data. - Jessica Rosati; Tommaso Di Noia; Thomas Lukasiewicz; Renato De Leone; Andrea Maurino (OTM Conferences, 2015)

Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange. - Thomas Lukasiewicz; Maria Vanina Martinez; Livia Predoiu; Gerardo I. Simari (RuleML, 2015)

Probabilistic Ontological Data Exchange with Bayesian Networks. - Thomas Lukasiewicz; Maria Vanina Martinez; Livia Predoiu; Gerardo I. Simari (URSW@ISWC, 2015)

Preface. - Thomas Lukasiewicz; Attila Sali (Ann. Math. Artif. Intell., 2015)

Preference-Based Query Answering in Probabilistic Datalog+/- Ontologies. - Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Oana Tifrea-Marciuska (J. Data Semant., 2015)

On the Complexity of mCP-nets. - Thomas Lukasiewicz; Enrico Malizia (AAAI, 2016)

Basic Probabilistic Ontological Data Exchange with Existential Rules. - Thomas Lukasiewicz; Maria Vanina Martinez; Livia Predoiu; Gerardo I. Simari (AAAI, 2016)

Ranking Answers to Datalog+/- Ontologies based on Trust and Reliability of Subjective Reports. - Thomas Lukasiewicz; Maria Vanina Martinez; Cristian Molinaro; Livia Predoiu; Gerardo I. Simari (Computational Models of Rationality, 2016)

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. - Zhenghua Xu 001; Cheng Chen 002; Thomas Lukasiewicz; Yishu Miao; Xiangwu Meng (CIKM, 2016)

Complexity Results for Probabilistic Datalog±. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Rafael Peñaloza (ECAI, 2016)

Complexity of Threshold Query Answering in Probabilistic Ontological Data Exchange. - Thomas Lukasiewicz; Livia Predoiu (ECAI, 2016)

Preferential Query Answering over the Semantic Web with Possibilistic Networks. - Stefan Borgwardt; Bettina Fazzinga; Thomas Lukasiewicz; Akanksha Shrivastava; Oana Tifrea-Marciuska (IJCAI, 2016)

Generalized Consistent Query Answering under Existential Rules. - Thomas Eiter; Thomas Lukasiewicz; Livia Predoiu (KR, 2016)

Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination. - Thomas Lukasiewicz; Maria Vanina Martinez; David Poole 001; Gerardo Ignacio Simari (KR, 2016)

Ontology-Mediated Queries for Probabilistic Databases. - Stefan Borgwardt; Ismail Ilkan Ceylan; Thomas Lukasiewicz (AAAI, 2017)

Location-Aware News Recommendation Using Deep Localized Semantic Analysis. - Cheng Chen 002; Thomas Lukasiewicz; Xiangwu Meng; Zhenghua Xu 001 (DASFAA (1), 2017)

Most Probable Explanations for Probabilistic Database Queries. - Ismail Ilkan Ceylan; Stefan Borgwardt; Thomas Lukasiewicz (IJCAI, 2017)

Query Answering in Ontologies under Preference Rankings. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Rafael Peñaloza; Oana Tifrea-Marciuska (IJCAI, 2017)

Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. - Zhenghua Xu 001; Thomas Lukasiewicz; Cheng Chen 002; Yishu Miao; Xiangwu Meng (IJCAI, 2017)

Uncertainty Reasoning for the Semantic Web. - Thomas Lukasiewicz (RW, 2017)

Location-Aware Personalized News Recommendation With Deep Semantic Analysis. - Cheng Chen 002; Xiangwu Meng; Zhenghua Xu 001; Thomas Lukasiewicz (IEEE Access, 2017)

Deep Learning for Ontology Reasoning. - Patrick Hohenecker; Thomas Lukasiewicz (CoRR, 2017)

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. - Zhenghua Xu 001; Cheng Chen 002; Thomas Lukasiewicz; Yishu Miao (CoRR, 2017)

Preface to the Speical Issue on Reasoning about Preferences, Uncertainty, and Vagueness. - Thomas Lukasiewicz; Rafael Peñaloza; Anni-Yasmin Turhan (FLAP, 2017)

Special Issue on Challenges for Reasoning under Uncertainty, Inconsistency, Vagueness, and Preferences - A Topical Snapshot. - Gabriele Kern-Isberner; Thomas Lukasiewicz (Künstliche Intell., 2017)

Many Facets of Reasoning Under Uncertainty, Inconsistency, Vagueness, and Preferences: A Brief Survey. - Gabriele Kern-Isberner; Thomas Lukasiewicz (Künstliche Intell., 2017)

A novel characterization of the complexity class ϴPk based on counting and comparison. - Thomas Lukasiewicz; Enrico Malizia (Theor. Comput. Sci., 2017)

Ontology-Based Data Access Leveraging Subjective Reports - Gerardo I. Simari; Cristian Molinaro; Maria Vanina Martinez; Thomas Lukasiewicz; Livia Predoiu (Springer, 2017)

Recent Advances in Querying Probabilistic Knowledge Bases. - Stefan Borgwardt; Ismail Ilkan Ceylan; Thomas Lukasiewicz (IJCAI, 2018)

e-SNLI: Natural Language Inference with Natural Language Explanations. - Oana-Maria Camburu; Tim Rocktäschel; Thomas Lukasiewicz; Phil Blunsom (NeurIPS, 2018)

Learning Structured Video Descriptions: Automated Video Knowledge Extraction for Video Understanding Tasks. - Daniel Vasile; Thomas Lukasiewicz (OTM Conferences (2), 2018)

A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases. - Ismail Ilkan Ceylan; Thomas Lukasiewicz (RW, 2018)

Complexity of Approximate Query Answering under Inconsistency in Datalog+/-. - Thomas Lukasiewicz; Enrico Malizia; Cristian Molinaro (SEBD, 2018)

Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity. - Zhenghua Xu 001; Oana Tifrea-Marciuska; Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Cheng Chen 002 (IEEE Access, 2018)

Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting. - Thomas Lukasiewicz; Enrico Malizia (CoRR, 2018)

Ontological query answering under many-valued group preferences in Datalog+/-. - Bettina Fazzinga; Thomas Lukasiewicz; Maria Vanina Martinez; Gerardo I. Simari; Oana Tifrea-Marciuska (Int. J. Approx. Reason., 2018)

Ontology-Mediated Query Answering over Log-Linear Probabilistic Data. - Stefan Borgwardt; Ismail Ilkan Ceylan; Thomas Lukasiewicz (AAAI, 2019)

Diversity-Driven Extensible Hierarchical Reinforcement Learning. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Mai Xu (AAAI, 2019)

A Surprisingly Robust Trick for the Winograd Schema Challenge. - Vid Kocijan; Ana-Maria Cretu 002; Oana-Maria Camburu; Yordan Yordanov; Thomas Lukasiewicz (ACL (1), 2019)

An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities. - Elvira Amador-Domínguez; Patrick Hohenecker; Thomas Lukasiewicz; Daniel Manrique; Emilio Serrano (DCAI, 2019)

Ontology-Mediated Query Answering over Log-Linear Probabilistic Data (Abstract). - Stefan Borgwardt; Ismail Ilkan Ceylan; Thomas Lukasiewicz (Description Logics, 2019)

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. - Vid Kocijan; Oana-Maria Camburu; Ana-Maria Cretu 002; Yordan Yordanov; Phil Blunsom; Thomas Lukasiewicz (EMNLP/IJCNLP (1), 2019)

Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. - Bo Li 099; Zehua Cheng; Zhenghua Xu 001; Wei Ye 004; Thomas Lukasiewicz; Shikun Zhang (ICASSP, 2019)

Controllable Text-to-Image Generation. - Bowen Li 001; Xiaojuan Qi 001; Thomas Lukasiewicz; Philip H. S. Torr (NeurIPS, 2019)

Complexity results for preference aggregation over (m)CP-nets: Pareto and majority voting. - Thomas Lukasiewicz; Enrico Malizia (Artif. Intell., 2019)

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Shangtong Zhang; Mai Xu (CoRR, 2019)

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Mai Xu; Zihan Ding; Lianlong Wu (CoRR, 2019)

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. - Oana-Maria Camburu; Eleonora Giunchiglia; Jakob N. Foerster; Thomas Lukasiewicz; Phil Blunsom (CoRR, 2019)

Distributed Low Precision Training Without Mixed Precision. - Zehua Cheng; Weiyang Wang; Yan Pan; Thomas Lukasiewicz (CoRR, 2019)

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. - Yuhang Song 001; Andrzej Wojcicki; Thomas Lukasiewicz; Jianyi Wang; Abi Aryan; Zhenghua Xu 001; Mai Xu; Zihan Ding; Lianlong Wu (AAAI, 2020)

Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Shangtong Zhang; Andrzej Wojcicki; Mai Xu (AAAI, 2020)

Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. - Ralph Abboud; Ismail Ilkan Ceylan; Thomas Lukasiewicz (AAAI, 2020)

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. - Oana-Maria Camburu; Brendan Shillingford; Pasquale Minervini; Thomas Lukasiewicz; Phil Blunsom (ACL, 2020)

ManiGAN: Text-Guided Image Manipulation. - Bowen Li 001; Xiaojuan Qi 001; Thomas Lukasiewicz; Philip H. S. Torr (CVPR, 2020)

Explanations for Ontology-Mediated Query Answering in Description Logics (Extended Abstract). - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Andrius Vaicenavicius (Description Logics, 2020)

Explanations for Ontology-Mediated Query Answering in Description Logics. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Andrius Vaicenavicius (ECAI, 2020)

Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction. - Patrick Hohenecker; Frank Mtumbuka; Vid Kocijan; Thomas Lukasiewicz (EMNLP (1), 2020)

Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. - Yordan Yordanov; Oana-Maria Camburu; Vid Kocijan; Thomas Lukasiewicz (EMNLP (1), 2020)

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. - Zhenghua Xu 001; Di Yuan; Thomas Lukasiewicz; Cheng Chen 002; Yishu Miao; Guizhi Xu (ICASSP, 2020)

Knowledge Graph Extraction from Videos. - Louis Mahon; Eleonora Giunchiglia; Bowen Li 001; Thomas Lukasiewicz (ICMLA, 2020)

Ontology Reasoning with Deep Neural Networks (Extended Abstract). - Patrick Hohenecker; Thomas Lukasiewicz (IJCAI, 2020)

Extracting Outcomes from Appellate Decisions in US State Courts. - Alina Petrova; John Armour; Thomas Lukasiewicz (JURIX, 2020)

Explanations for Negative Query Answers under Existential Rules. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Cristian Molinaro; Andrius Vaicenavicius (KR, 2020)

Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. - Yuhang Song 001; Thomas Lukasiewicz; Zhenghua Xu 001; Rafal Bogacz (NeurIPS, 2020)

BoxE: A Box Embedding Model for Knowledge Base Completion. - Ralph Abboud; Ismail Ilkan Ceylan; Thomas Lukasiewicz; Tommaso Salvatori (NeurIPS, 2020)

Coherent Hierarchical Multi-Label Classification Networks. - Eleonora Giunchiglia; Thomas Lukasiewicz (NeurIPS, 2020)

Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation. - Bowen Li 001; Xiaojuan Qi 001; Philip H. S. Torr; Thomas Lukasiewicz (NeurIPS, 2020)

Image-to-Image Translation with Text Guidance. - Bowen Li 001; Xiaojuan Qi 001; Philip H. S. Torr; Thomas Lukasiewicz (CoRR, 2020)

Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. - Yikuan Li; Shishir Rao; Abdelaali Hassaïne; Rema Ramakrishnan; Yajie Zhu; Dexter Canoy; Gholamreza Salimi Khorshidi; Thomas Lukasiewicz; Kazem Rahimi (CoRR, 2020)

e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations. - Virginie Do; Oana-Maria Camburu; Zeynep Akata; Thomas Lukasiewicz (CoRR, 2020)

A Review of Winograd Schema Challenge Datasets and Approaches. - Vid Kocijan; Thomas Lukasiewicz; Ernest Davis; Gary Marcus 001; Leora Morgenstern (CoRR, 2020)

The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. - Oana-Maria Camburu; Eleonora Giunchiglia; Jakob N. Foerster; Thomas Lukasiewicz; Phil Blunsom (CoRR, 2020)

Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey. - Dan Zhao; Guizhi Xu; Zhenghua Xu 001; Thomas Lukasiewicz; Minmin Xue; Zhigang Fu (CoRR, 2020)

SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images. - Chang Qi; Junyang Chen 001; Guizhi Xu; Zhenghua Xu 001; Thomas Lukasiewicz; Yang Liu 165 (CoRR, 2020)

Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty. - Wenting Xu; Chang Qi; Zhenghua Xu 001; Thomas Lukasiewicz (CoRR, 2020)

Efficient Medical Image Segmentation with Intermediate Supervision Mechanism. - Di Yuan; Junyang Chen 001; Zhenghua Xu 001; Thomas Lukasiewicz; Zhigang Fu; Guizhi Xu (CoRR, 2020)

w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution. - Bo Wang 072; Lei Wang; Junyang Chen 001; Zhenghua Xu 001; Thomas Lukasiewicz; Zhigang Fu (CoRR, 2020)

Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. - Lei Sha; Oana-Maria Camburu; Thomas Lukasiewicz (CoRR, 2020)

Partially observable game-theoretic agent programming in Golog. - Alberto Finzi; Thomas Lukasiewicz (Int. J. Approx. Reason., 2020)

Ontology Reasoning with Deep Neural Networks. - Patrick Hohenecker; Thomas Lukasiewicz (J. Artif. Intell. Res., 2020)

Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting. - Vito Walter Anelli; Renato De Leone; Tommaso Di Noia; Thomas Lukasiewicz; Jessica Rosati (Semantic Web, 2020)

Preferred Explanations for Ontology-Mediated Queries under Existential Rules. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Cristian Molinaro; Andrius Vaicenavicius (AAAI, 2021)

The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. - Vid Kocijan; Oana-Maria Camburu; Thomas Lukasiewicz (AAAI, 2021)

Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. - Lei Sha; Oana-Maria Camburu; Thomas Lukasiewicz (AAAI, 2021)

Multi-type Disentanglement without Adversarial Training. - Lei Sha; Thomas Lukasiewicz (AAAI, 2021)

Controlling Text Edition by Changing Answers of Specific Questions. - Lei Sha; Patrick Hohenecker; Thomas Lukasiewicz (ACL/IJCNLP (Findings), 2021)

Lightweight Visual Question Answering using Scene Graphs. - Sai Vidyaranya Nuthalapati; Ramraj Chandradevan; Eleonora Giunchiglia; Bowen Li 001; Maxime Kayser; Thomas Lukasiewicz; Carl Yang 001 (CIKM, 2021)

RSG: A Simple but Effective Module for Learning Imbalanced Datasets. - Jianfeng Wang; Thomas Lukasiewicz; Xiaolin Hu 001; Jianfei Cai 001; Zhenghua Xu 001 (CVPR, 2021)

Knowledge Base Completion Meets Transfer Learning. - Vid Kocijan; Thomas Lukasiewicz (EMNLP (1), 2021)

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. - Maxime Kayser; Oana-Maria Camburu; Leonard Salewski; Cornelius Emde; Virginie Do; Zeynep Akata; Thomas Lukasiewicz (ICCV, 2021)

The Surprising Power of Graph Neural Networks with Random Node Initialization. - Ralph Abboud; Ismail Ilkan Ceylan; Martin Grohe; Thomas Lukasiewicz (IJCAI, 2021)

Selective Pseudo-Label Clustering. - Louis Mahon; Thomas Lukasiewicz (KI, 2021)

Associative Memories via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Yujian Hong; Lei Sha; Simon Frieder; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (NeurIPS, 2021)

Risk factor identification for incident heart failure using neural network distillation and variable selection. - Yikuan Li; Shishir Rao; Mohammad Mamouei; Gholamreza Salimi Khorshidi; Dexter Canoy; Abdelaali Hassaïne; Thomas Lukasiewicz (CoRR, 2021)

Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. - Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz; Zhenghua Xu 001 (CoRR, 2021)

Predictive Coding Can Do Exact Backpropagation on Any Neural Network. - Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz; Zhenghua Xu 001 (CoRR, 2021)

Rationale-Inspired Natural Language Explanations with Commonsense. - Bodhisattwa Prasad Majumder; Oana-Maria Camburu; Thomas Lukasiewicz; Julian J. McAuley (CoRR, 2021)

Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models. - Myeongjun Jang; Deuk Sin Kwon; Thomas Lukasiewicz (CoRR, 2021)

NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models. - Myeongjun Jang; Thomas Lukasiewicz (CoRR, 2021)

Are Training Resources Insufficient? Predict First Then Explain! - Myeongjun Jang; Thomas Lukasiewicz (CoRR, 2021)

Rationale production to support clinical decision-making. - Niall Taylor; Lei Sha; Dan W. Joyce; Thomas Lukasiewicz; Alejo J. Nevado-Holgado; Andrey Kormilitzin (CoRR, 2021)

Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations. - Yordan Yordanov; Vid Kocijan; Thomas Lukasiewicz; Oana-Maria Camburu (CoRR, 2021)

An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities. - Elvira Amador-Domínguez; Emilio Serrano; Daniel Manrique; Patrick Hohenecker; Thomas Lukasiewicz (Inf. Sci., 2021)

Stable Model Semantics for Guarded Existential Rules and Description Logics: Decidability and Complexity. - Georg Gottlob; André Hernich; Clemens Kupke; Thomas Lukasiewicz (J. ACM, 2021)

Multi-Label Classification Neural Networks with Hard Logical Constraints. - Eleonora Giunchiglia; Thomas Lukasiewicz (J. Artif. Intell. Res., 2021)

Reverse Differentiation via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Zhenghua Xu 001; Thomas Lukasiewicz; Rafal Bogacz (AAAI, 2022)

Efficient Deep Clustering of Human Activities and How to Improve Evaluation. - Louis Mahon; Thomas Lukasiewicz (ACML, 2022)

Pareto and Majority Voting in mCP-nets. - Thomas Lukasiewicz; Enrico Malizia (DP@AI*IA, 2022)

Image-to-Image Translation with Text Guidance. - Bowen Li 001; Philip H. S. Torr; Thomas Lukasiewicz (BMVC, 2022)

Memory-Driven Text-to-Image Generation. - Bowen Li 001; Philip H. S. Torr; Thomas Lukasiewicz (BMVC, 2022)

BECEL: Benchmark for Consistency Evaluation of Language Models. - Myeongjun Jang; Deuk Sin Kwon; Thomas Lukasiewicz (COLING, 2022)

Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation. - Jianfeng Wang; Thomas Lukasiewicz (CVPR, 2022)

Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports. - Zehua Cheng; Lianlong Wu; Thomas Lukasiewicz; Emanuel Sallinger; Georg Gottlob (EDBT/ICDT Workshops, 2022)

Learning to Model Multimodal Semantic Alignment for Story Visualization. - Bowen Li 001; Thomas Lukasiewicz (EMNLP (Findings), 2022)

Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction. - Frank Mtumbuka; Thomas Lukasiewicz (EMNLP, 2022)

Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup. - Yordan Yordanov; Vid Kocijan; Thomas Lukasiewicz; Oana-Maria Camburu (EMNLP (Findings), 2022)

(Non-)Convergence Results for Predictive Coding Networks. - Simon Frieder; Thomas Lukasiewicz (ICML, 2022)

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. - Bodhisattwa Prasad Majumder; Oana Camburu; Thomas Lukasiewicz; Julian J. McAuley (ICML, 2022)

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. - Beren Millidge; Tommaso Salvatori; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz (ICML, 2022)

NP-Match: When Neural Processes meet Semi-Supervised Learning. - Jianfeng Wang; Thomas Lukasiewicz; Daniela Massiceti; Xiaolin Hu 001; Vladimir Pavlovic 001; Alexandros Neophytou (ICML, 2022)

Deep Learning with Logical Constraints. - Eleonora Giunchiglia; Mihaela Catalina Stoian; Thomas Lukasiewicz (IJCAI, 2022)

Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics. - Thomas Lukasiewicz; Enrico Malizia; Cristian Molinaro (IJCAI, 2022)

Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? - Beren Millidge; Tommaso Salvatori; Yuhang Song 001; Rafal Bogacz; Thomas Lukasiewicz (IJCAI, 2022)

Explaining Chest X-Ray Pathologies in Natural Language. - Maxime Kayser; Cornelius Emde; Oana-Maria Camburu; Guy Parsons; Bartlomiej W. Papiez; Thomas Lukasiewicz (MICCAI (5), 2022)

Clustering Generative Adversarial Networks for Story Visualization. - Bowen Li 001; Philip H. S. Torr; Thomas Lukasiewicz (ACM Multimedia, 2022)

Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence. - Myeongjun Jang; Frank Mtumbuka; Thomas Lukasiewicz (NAACL-HLT (Findings), 2022)

Predictive Coding beyond Gaussian Distributions. - Luca Pinchetti; Tommaso Salvatori; Yordan Yordanov; Beren Millidge; Yuhang Song 001; Thomas Lukasiewicz (NeurIPS, 2022)

Learning on Arbitrary Graph Topologies via Predictive Coding. - Tommaso Salvatori; Luca Pinchetti; Beren Millidge; Yuhang Song 001; Tianyi Bao; Rafal Bogacz; Thomas Lukasiewicz (NeurIPS, 2022)

Query Answer Explanations under Existential Rules. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Andrius Vaicenavicius (SEBD, 2022)

Explanations for Inconsistency-Tolerant Query Answering under Existential Rules. - Thomas Lukasiewicz; Enrico Malizia; Cristian Molinaro (SEBD, 2022)

Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. - Thomas Lukasiewicz; Enrico Malizia; Andrius Vaicenavicius (SEBD, 2022)

Complexity results for preference aggregation over (m)CP-nets: Max and rank voting. - Thomas Lukasiewicz; Enrico Malizia (Artif. Intell., 2022)

Inconsistency-tolerant query answering for existential rules. - Thomas Lukasiewicz; Enrico Malizia; Maria Vanina Martinez; Cristian Molinaro; Andreas Pieris; Gerardo I. Simari (Artif. Intell., 2022)

Learning on Arbitrary Graph Topologies via Predictive Coding. - Tommaso Salvatori; Luca Pinchetti; Beren Millidge; Yuhang Song 001; Rafal Bogacz; Thomas Lukasiewicz (CoRR, 2022)

Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. - Yikuan Li; Mohammad Mamouei; Shishir Rao; Abdelaali Hassaïne; Dexter Canoy; Thomas Lukasiewicz; Kazem Rahimi; Gholamreza Salimi Khorshidi (CoRR, 2022)

PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training. - Zihang Xu; Zhenghua Xu 001; Shuo Zhang; Thomas Lukasiewicz (CoRR, 2022)

Word-Level Fine-Grained Story Visualization. - Bowen Li 001; Thomas Lukasiewicz (CoRR, 2022)

Lightweight Long-Range Generative Adversarial Networks. - Bowen Li 001; Thomas Lukasiewicz (CoRR, 2022)

Bird-Eye Transformers for Text Generation Models. - Lei Sha; Yuhang Song 001; Yordan Yordanov; Tommaso Salvatori; Thomas Lukasiewicz (CoRR, 2022)

Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty. - Wenting Xu; Zhenghua Xu 001; Junyang Chen 001; Chang Qi; Thomas Lukasiewicz (CoRR, 2022)

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. - Tommaso Salvatori; Yuhang Song 001; Beren Millidge; Zhenghua Xu 001; Lei Sha; Cornelius Emde; Rafal Bogacz; Thomas Lukasiewicz (CoRR, 2022)

Robust Graph Representation Learning via Predictive Coding. - Billy Byiringiro; Tommaso Salvatori; Thomas Lukasiewicz (CoRR, 2022)

ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution. - Zhenghua Xu 001; Shijie Liu; Di Yuan; Lei Wang; Junyang Chen 001; Thomas Lukasiewicz; Zhigang Fu; Rui Zhang (Neurocomputing, 2022)

NoiER: An Approach for Training More Reliable Fine-Tuned Downstream Task Models. - Myeongjun Jang; Thomas Lukasiewicz (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. - Shishir Rao; Yikuan Li; Rema Ramakrishnan; Abdelaali Hassaïne; Dexter Canoy; John G. F. Cleland; Thomas Lukasiewicz; Gholamreza Salimi Khorshidi; Kazem Rahimi (IEEE J. Biomed. Health Informatics, 2022)

Faithfulness Tests for Natural Language Explanations. - Pepa Atanasova; Oana-Maria Camburu; Christina Lioma; Thomas Lukasiewicz; Jakob Grue Simonsen; Isabelle Augenstein (ACL (2), 2023)

KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. - Myeongjun Jang; Bodhisattwa Prasad Majumder; Julian J. McAuley; Thomas Lukasiewicz; Oana-Maria Camburu (ACL (2), 2023)

An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. - Zhongbin Xie; Thomas Lukasiewicz (ACL (1), 2023)

Deconvolution of cell-free DNA in cancer liquid biopsy using a deep AutoEncoder. - Felix Jackson; Thomas Lukasiewicz (BCB, 2023)

Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. - Zhongbin Xie; Vid Kocijan; Thomas Lukasiewicz; Oana-Maria Camburu (EACL, 2023)

Associative Memories in the Feature Space. - Tommaso Salvatori; Beren Millidge; Yuhang Song 001; Rafal Bogacz; Thomas Lukasiewicz (ECAI, 2023)

Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. - Myeongjun Jang; Thomas Lukasiewicz (EMNLP, 2023)

Consistency Analysis of ChatGPT. - Myeongjun Jang; Thomas Lukasiewicz (EMNLP, 2023)

MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. - Xiangtao Wang; Ruizhi Wang; Biao Tian; Jiaojiao Zhang; Shuo Zhang; Junyang Chen 001; Thomas Lukasiewicz; Zhenghua Xu 001 (ICASSP, 2023)

MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. - Ruizhi Wang; Xiangtao Wang; Zhenghua Xu 001; Wenting Xu; Junyang Chen 001; Thomas Lukasiewicz (ICASSP, 2023)

Multi-Head Feature Pyramid Networks for Breast Mass Detection. - Hexiang Zhang; Zhenghua Xu 001; Dan Yao; Shuo Zhang; Junyang Chen 001; Thomas Lukasiewicz (ICASSP, 2023)

Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. - Beren Millidge; Yuhang Song 001; Tommaso Salvatori; Thomas Lukasiewicz; Rafal Bogacz (ICLR, 2023)

A Theoretical Framework for Inference and Learning in Predictive Coding Networks. - Beren Millidge; Yuhang Song 001; Tommaso Salvatori; Thomas Lukasiewicz; Rafal Bogacz (ICLR, 2023)

Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation. - Gang Xu; Shengxin Wang; Thomas Lukasiewicz; Zhenghua Xu 001 (ICME, 2023)

NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. - Jianfeng Wang; Daniela Massiceti; Xiaolin Hu 001; Vladimir Pavlovic 001; Thomas Lukasiewicz (ICML, 2023)

Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Preferred Repairs. - Thomas Lukasiewicz; Enrico Malizia; Cristian Molinaro (KR, 2023)

Exploiting T-norms for Deep Learning in Autonomous Driving. - Mihaela C. Stoian; Eleonora Giunchiglia; Thomas Lukasiewicz (NeSy, 2023)

Mathematical Capabilities of ChatGPT. - Simon Frieder; Luca Pinchetti; Alexis Chevalier; Ryan-Rhys Griffiths; Tommaso Salvatori; Thomas Lukasiewicz; Philipp Petersen; Julius Berner (NeurIPS, 2023)

Rationalizing predictions by adversarial information calibration. - Lei Sha; Oana-Maria Camburu; Thomas Lukasiewicz (Artif. Intell., 2023)

NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. - Jianfeng Wang; Xiaolin Hu 001; Thomas Lukasiewicz (CoRR, 2023)

Hard Regularization to Prevent Collapse in Online Deep Clustering without Data Augmentation. - Louis Mahon; Thomas Lukasiewicz (CoRR, 2023)

Correcting Flaws in Common Disentanglement Metrics. - Louis Mahon; Lei Shah; Thomas Lukasiewicz (CoRR, 2023)

Machine Learning with Requirements: a Manifesto. - Eleonora Giunchiglia; Fergus Imrie; Mihaela van der Schaar; Thomas Lukasiewicz (CoRR, 2023)

Evaluating Language Models for Mathematics through Interactions. - Katherine M. Collins; Albert Q. Jiang; Simon Frieder; Lionel Wong; Miri Zilka; Umang Bhatt; Thomas Lukasiewicz; Yuhuai Wu; Joshua B. Tenenbaum; William Hart; Timothy Gowers; Wenda Li; et al. (CoRR, 2023)

Causal Inference via Predictive Coding. - Tommaso Salvatori; Luca Pinchetti; Amine M'Charrak; Beren Millidge; Thomas Lukasiewicz (CoRR, 2023)

Brain-Inspired Computational Intelligence via Predictive Coding. - Tommaso Salvatori; Ankur Arjun Mali; Christopher L. Buckley; Thomas Lukasiewicz; Rajesh P. N. Rao; Karl J. Friston; Alexander Ororbia (CoRR, 2023)

AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation. - Xiangtao Wang; Ruizhi Wang; Jie Zhou; Thomas Lukasiewicz; Zhenghua Xu 001 (CoRR, 2023)

C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. - Ruizhi Wang; Xiangtao Wang; Jie Zhou; Thomas Lukasiewicz; Zhenghua Xu 001 (CoRR, 2023)

Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. - Myeongjun Erik Jang; Thomas Lukasiewicz (CoRR, 2023)

Large Language Models for Mathematicians. - Simon Frieder; Julius Berner; Philipp Petersen; Thomas Lukasiewicz (CoRR, 2023)

Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. - Shuo Zhang; Jiaojiao Zhang; Biao Tian; Thomas Lukasiewicz; Zhenghua Xu 001 (Medical Image Anal., 2023)

Recurrent predictive coding models for associative memory employing covariance learning. - Mufeng Tang; Tommaso Salvatori; Beren Millidge; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz (PLoS Comput. Biol., 2023)

Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. - Haozhe Lin; Yushun Fan; Jia Zhang 001; Bing Bai; Zhenghua Xu 001; Thomas Lukasiewicz (IEEE Trans. Serv. Comput., 2023)

Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing. - Di Yuan; Yunxin Liu; Zhenghua Xu 001; Yuefu Zhan; Junyang Chen 001; Thomas Lukasiewicz (Comput. Biol. Medicine, 2023)

Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. - Yikuan Li; Mohammad Mamouei; Gholamreza Salimi-Khorshidi; Shishir Rao; Abdelaali Hassaïne; Dexter Canoy; Thomas Lukasiewicz; Kazem Rahimi (IEEE J. Biomed. Health Informatics, 2023)

μ-Net: Medical image segmentation using efficient and effective deep supervision. - Di Yuan; Zhenghua Xu 001; Biao Tian; Hening Wang; Yuefu Zhan; Thomas Lukasiewicz (Comput. Biol. Medicine, 2023)

EFPN: Effective medical image detection using feature pyramid fusion enhancement. - Zhenghua Xu 001; Xudong Zhang; Hexiang Zhang; Yunxin Liu; Yuefu Zhan; Thomas Lukasiewicz (Comput. Biol. Medicine, 2023)

ROAD-R: the autonomous driving dataset with logical requirements. - Eleonora Giunchiglia; Mihaela Catalina Stoian; Salman Khan 004; Fabio Cuzzolin; Thomas Lukasiewicz (Mach. Learn., 2023)

The defeat of the Winograd Schema Challenge. - Vid Kocijan; Ernest Davis; Thomas Lukasiewicz; Gary Marcus 001; Leora Morgenstern (Artif. Intell., 2023)

RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising. - Miao Yu; Miaomiao Guo; Shuai Zhang; Yuefu Zhan; Mingkang Zhao; Thomas Lukasiewicz; Zhenghua Xu 001 (Comput. Biol. Medicine, 2023)

The Defeat of the Winograd Schema Challenge (Abstract Reprint). - Vid Kocijan; Ernest Davis; Thomas Lukasiewicz; Gary Marcus 001; Leora Morgenstern (AAAI, 2024)

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation. - Louis Mahon; Thomas Lukasiewicz (AAAI, 2024)

On the Complexity of Querying Inconsistent Weighted Knowledge Bases (Short paper). - Thomas Lukasiewicz; Enrico Malizia; Cristian Molinaro (DP@AI*IA, 2024)

Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation. - Zehua Cheng; Di Yuan; Thomas Lukasiewicz (BIBM, 2024)

Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting. - Maxime Kayser; Bayar Menzat; Cornelius Emde; Bogdan Bercean; Alex Novak; Abdalá Morgado; Bartlomiej W. Papiez; Susanne Gaube; Thomas Lukasiewicz; Oana-Maria Camburu (EMNLP, 2024)

The IMO Small Challenge: Not-Too-Hard Olympiad Math Datasets for LLMs. - Simon Frieder; Mirek Olsák; Julius Berner; Thomas Lukasiewicz (Tiny Papers @ ICLR, 2024)

Bad Predictive Coding Activation Functions. - Simon Frieder; Luca Pinchetti; Thomas Lukasiewicz (Tiny Papers @ ICLR, 2024)

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. - Tommaso Salvatori; Yuhang Song 001; Yordan Yordanov; Beren Millidge; Lei Sha; Cornelius Emde; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (ICLR, 2024)

How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. - Mihaela C. Stoian; Salijona Dyrmishi; Maxime Cordy; Thomas Lukasiewicz; Eleonora Giunchiglia (ICLR, 2024)

Predictive Coding beyond Correlations. - Tommaso Salvatori; Luca Pinchetti; Amine M'Charrak; Beren Millidge; Thomas Lukasiewicz (ICML, 2024)

PiShield: A PyTorch Package for Learning with Requirements. - Mihaela C. Stoian; Alex Tatomir; Thomas Lukasiewicz; Eleonora Giunchiglia (IJCAI, 2024)

Pre-training and diagnosing knowledge base completion models. - Vid Kocijan; Myeongjun Erik Jang; Thomas Lukasiewicz (Artif. Intell., 2024)

PiShield: A NeSy Framework for Learning with Requirements. - Mihaela Catalina Stoian; Alex Tatomir; Thomas Lukasiewicz; Eleonora Giunchiglia (CoRR, 2024)

Benchmarking Predictive Coding Networks - Made Simple. - Luca Pinchetti; Chang Qi; Oleh Lokshyn; Gaspard Olivers; Cornelius Emde; Mufeng Tang; Amine M'Charrak; Simon Frieder; Bayar Menzat; Rafal Bogacz; Thomas Lukasiewicz; Tommaso Salvatori (CoRR, 2024)

Dimension-independent learning rates for high-dimensional classification problems. - Andrés Felipe Lerma Pineda; Philipp Petersen; Simon Frieder; Thomas Lukasiewicz (CoRR, 2024)

Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting. - Maxime Kayser; Bayar Menzat; Cornelius Emde; Bogdan Bercean; Alex Novak; Abdala Espinosa; Bartlomiej W. Papiez; Susanne Gaube; Thomas Lukasiewicz; Oana-Maria Camburu (CoRR, 2024)

Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning. - Simon Frieder; Jonas Bayer; Katherine M. Collins; Julius Berner; Jacob Loader; András Juhász; Fabian Ruehle; Sean Welleck; Gabriel Poesia; Ryan-Rhys Griffiths; Adrian Weller; Anirudh Goyal; et al. (CoRR, 2024)

CCN+: A neuro-symbolic framework for deep learning with requirements. - Eleonora Giunchiglia; Alex Tatomir; Mihaela Catalina Stoian; Thomas Lukasiewicz (Int. J. Approx. Reason., 2024)

Text Attribute Control via Closed-Loop Disentanglement. - Lei Sha; Thomas Lukasiewicz (Trans. Assoc. Comput. Linguistics, 2024)

Correcting Flaws in Common Disentanglement Metrics. - Louis Mahon; Lei Sha; Thomas Lukasiewicz (Trans. Mach. Learn. Res., 2024)

Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation. - Zhenghua Xu 001; Biao Tian; Shijie Liu; Xiangtao Wang; Di Yuan; Junhua Gu; Junyang Chen 001; Thomas Lukasiewicz; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2024)

PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention. - Zhenghua Xu 001; Zhoutao Yu; Hexiang Zhang; Junyang Chen 001; Junhua Gu; Thomas Lukasiewicz; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2024)

Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. - Zhenghua Xu 001; Jiaqi Tang 013; Chang Qi; Dan Yao; Caihua Liu; Yuefu Zhan; Thomas Lukasiewicz (Comput. Biol. Medicine, 2024)

Minimum description length clustering to measure meaningful image complexity. - Louis Mahon; Thomas Lukasiewicz (Pattern Recognit., 2024)

Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. - Jiaojiao Zhang; Shuo Zhang; Xiaoqian Shen; Thomas Lukasiewicz; Zhenghua Xu 001 (IEEE Trans. Medical Imaging, 2024)

Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. - Zhenghua Xu 001; Shengxin Wang; Gang Xu; Yunxin Liu; Miao Yu; Hongwei Zhang; Thomas Lukasiewicz; Junhua Gu (Comput. Biol. Medicine, 2024)

Shh, don't say that! Domain Certification in LLMs. - Cornelius Emde; Alasdair Paren; Preetham Arvind; Maxime Guillaume Kayser; Tom Rainforth; Thomas Lukasiewicz; Philip Torr 001; Adel Bibi (ICLR, 2025)

Towards Certification of Uncertainty Calibration under Adversarial Attacks. - Cornelius Emde; Francesco Pinto; Thomas Lukasiewicz; Philip Torr 001; Adel Bibi (ICLR, 2025)

Benchmarking Predictive Coding Networks - Made Simple. - Luca Pinchetti; Chang Qi; Oleh Lokshyn; Cornelius Emde; Amine M'Charrak; Mufeng Tang; Simon Frieder; Bayar Menzat; Gaspard Oliviers; Rafal Bogacz; Thomas Lukasiewicz; Tommaso Salvatori (ICLR, 2025)

Effective and Efficient Medical Image Segmentation with Hierarchical Context Interaction. - Zehua Cheng; Di Yuan; Wenhu Zhang; Thomas Lukasiewicz (WACV, 2025)

Explanations for query answers under existential rules. - Ismail Ilkan Ceylan; Thomas Lukasiewicz; Enrico Malizia; Andrius Vaicenavicius (Artif. Intell., 2025)

A general survey on medical image super-resolution via deep learning. - Miao Yu; Zhenghua Xu 001; Thomas Lukasiewicz (Comput. Biol. Medicine, 2025)

Aggregated Mutual Learning between CNN and Transformer for semi-supervised medical image segmentation. - Zhenghua Xu 001; Hening Wang; Runhe Yang; Yuchen Yang; Weipeng Liu; Thomas Lukasiewicz (Knowl. Based Syst., 2025)

PCA: Semi-Supervised Segmentation With Patch Confidence Adversarial Training. - Zhenghua Xu 001; Runhe Yang; Zihang Xu; Shuo Zhang; Yuchen Yang; Weipeng Liu; Weichao Xu; Junyang Chen 001; Thomas Lukasiewicz; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2025)

Detection-Fusion for Knowledge Graph Extraction from Videos. - Taniya Das; Louis Mahon; Thomas Lukasiewicz (CoRR, 2025)

Self-Supervised Medical Image Segmentation Using Deep Reinforced Adaptive Masking. - Zhenghua Xu 001; Yunxin Liu; Gang Xu; Thomas Lukasiewicz (IEEE Trans. Medical Imaging, 2025)

Shh, don't say that! Domain Certification in LLMs. - Cornelius Emde; Alasdair Paren; Preetham Arvind; Maxime Kayser; Tom Rainforth; Thomas Lukasiewicz; Bernard Ghanem; Philip H. S. Torr; Adel Bibi (CoRR, 2025)

Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty. - Zhenghua Xu 001; Wenting Xu; Ruizhi Wang; Junyang Chen 001; Chang Qi; Thomas Lukasiewicz (IEEE Trans. Neural Networks Learn. Syst., 2025)

AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction. - Magnus Sesodia; Alina Petrova; John Armour; Thomas Lukasiewicz; Oana-Maria Camburu; Puneet K. Dokania; Philip Torr 001; Christian Schröder de Witt (CoRR, 2025)

A Survey on Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, and Beyond. - Mihaela Catalina Stoian; Eleonora Giunchiglia; Thomas Lukasiewicz (CoRR, 2025)

Towards the Training of Deeper Predictive Coding Neural Networks. - Chang Qi; Matteo Forasassi; Thomas Lukasiewicz; Tommaso Salvatori (CoRR, 2025)

C2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. - Ruizhi Wang; Zhenghua Xu 001; Xiangtao Wang; Weipeng Liu; Thomas Lukasiewicz (Inf. Fusion, 2026)