Thomas Lukasiewicz
Professor of Computer Science
Oxford Law Faculty
Biography
Thomas Lukasiewicz is a Professor of Computer Science in Oxford University’s Department of Computer Science since 2010.
Publications
Xu Z and others, ‘Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation’ (2024) 11(2) IEEE Transactions on Network Science and Engineering 1857
Song Y and others, ‘Inferring neural activity before plasticity as a foundation for learning beyond backpropagation’ (2024) 27(2) Nature Neuroscience 348
Xu Z and others, ‘Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning’ (2024) 169 Computers in Biology and Medicine 107877
Zhang J and others, ‘Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation’ (2024) 43(1) IEEE Transactions on Medical Imaging 76
Xu Z and others, ‘PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention’ (2024) 11(1) IEEE Transactions on Network Science and Engineering 427
Mahon L and Lukasiewicz T, ‘Minimum description length clustering to measure meaningful image complexity’ (2024) 145 Pattern Recognition 109889
Xu Z and others, ‘Cross-domain attention-guided generative data augmentation for medical image analysis with limited data’ (2024) 168 Computers in Biology and Medicine 107744
Yu M and others, ‘RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising’ (2023) 167 Computers in Biology and Medicine 107632
Xu Z and others, ‘EFPN: Effective medical image detection using feature pyramid fusion enhancement’ (2023) 163 Computers in Biology and Medicine 107149
Yuan D and others, ‘μ -Net: Medical image segmentation using efficient and effective deep supervision’ (2023) 160 Computers in Biology and Medicine 106963
Salvatori T and others, ‘Learning on arbitrary graph topologies via predictive coding’ (2023) 49 Advances in Neural Information Processing Systems 35 (NeurIPS 2022) 38232
Sha L, Camburu O-M and Lukasiewicz T, ‘Rationalizing predictions by adversarial information calibration’ (2023) 315 Artificial Intelligence 103828
Yuan D and others, ‘Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing’ (2023) 153 Computers in Biology and Medicine 106487
Zhang S and others, ‘Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation’ (2023) 83 Medical Image Analysis 102656
LUKASIEWICZ T and Malizia E, ‘Complexity Results for Preference Aggregation over (m)CP-nets: Max and Rank Voting’ (2021) 303 Artificial Intelligence 103636
Li Y and others, ‘Publisher Correction: Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records’ (2021) 11(1) Scientific Reports 22254
Li Y and others, ‘Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records’ (2021) 11(1) Scientific Reports 20685
Abboud R and others, ‘The Surprising Power of Graph Neural Networks with Random Node Initialization’ (2021) abs/2010.01179 IJCAI International Joint Conference on Artificial Intelligence 2112
Amador−Domı́nguez E and others, ‘An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities’ (2021) 564(2021) Information Sciences 85
Hohenecker P and Lukasiewicz T, ‘Ontology Reasoning with Deep Neural Networks’ (2020) 68 Journal of Artificial Intelligence Research 503
Finzi A and LUKASIEWICZ T, ‘Partially Observable Game-Theoretic Agent Programming in Golog’ (2020) 119 International Journal of Approximate Reasoning 220
Abboud R and others, ‘BoxE: A box embedding model for knowledge base completion’ (2020) 2020-December Advances in Neural Information Processing Systems
Camburu O-M and others, ‘The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets.’ (2020) abs/2009.11023 CoRR
Camburu O-M and others, ‘Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations’ (2020) abs/1910.03065 Proceedings of the Annual Meeting of the Association for Computational Linguistics 4157
Abboud R, Ceylan I and Lukasiewicz T, ‘Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting’ (2020) 34(04) Proceedings of the AAAI Conference on Artificial Intelligence 3097
Kocijan V and others, ‘WikiCrem: A large unsupervised corpus for coreference resolution’ (2019) abs/1908.08025 EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference 4303
Camburu O-M and others, ‘Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods.’ (2019) abs/1910.02065 CoRR
Lukasiewicz T and Malizia E, ‘Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting’ (2019) 272 Artificial Intelligence 101
Rosati J and others, ‘Embedding CP-theories as SPARQL queries to reason with preferences’ (2018) 11(3) Semantic Web – Interoperability, Usability, Applicability 391
Xu Z and others, ‘Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity’ (2018) 6 IEEE ACCESS 35590
Fazzinga B and others, ‘Ontological query answering under many-valued group preferences in Datalog+/–’ (2018) 93 International Journal of Approximate Reasoning 354
Lukasiewicz T and Malizia E, ‘A novel characterization of the complexity class Theta^P_k based on counting and comparison’ (2017) 694 Theoretical Computer Science 21
Kern-Isberner G and Lukasiewicz T, ‘Special Issue on Challenges for Reasoning under Uncertainty, Inconsistency, Vagueness, and Preferences’ (2017) 31(1) KI - Künstliche Intelligenz 5
Kern-Isberner G and Lukasiewicz T, ‘Many Facets of Reasoning Under Uncertainty, Inconsistency, Vagueness, and Preferences: A Brief Survey’ (2017) 31(1) KI - Künstliche Intelligenz 9
Hohenecker P and Lukasiewicz T, ‘Deep Learning for Ontology Reasoning.’ (2017) abs/1705.10342 CoRR
Chen C and others, ‘Location-aware Personalized News Recommendation with Deep Semantic Analysis’ (2017) 5 IEEE Access 1
Lukasiewicz T and others, ‘Preference-Based Query Answering in Probabilistic Datalog+/– Ontologies’ (2015) 4(2) Journal on Data Semantics 81
Lukasiewicz T and Sali A, ‘Preface’ (2015) 73(1-2) Annals of Mathematics and Artificial Intelligence 1
Lukasiewicz T and others, ‘Ontology-Based Query Answering with Group Preferences’ (2014) 14(4) ACM Transactions on Internet Technology 1
Lukasiewicz T and others, ‘Answering Ontological Ranking Queries Based on Subjective Reports’ (2014) 8720 Lecture Notes in Computer Science 223
Lukasiewicz T and others, ‘Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/–’ (2014) 8816 Lecture Notes in Computer Science 41
Xu Z, Lukasiewicz T and Tifrea-Marciuska O, ‘Improving Personalized Search on the Social Web Based on Similarities between Users’ (2014) 8720 Lecture Notes in Computer Science 306
Lukasiewicz T and others, ‘Query answering in probabilistic datalog+/- Ontologies under group preferences’ (2013) 1 Proceedings - 2013 IEEE WIC ACM International Conference on Web Intelligence, WI 2013 171
Lukasiewicz T and others, ‘Top-k Query Answering in Datalog+/- Ontologies under Subjective Reports (Technical Report)’ (2013) abs/1312.0032 CoRR
Gottlob G and others, ‘Query answering under probabilistic uncertainty in Datalog+ / - ontologies’ (2013) 69(1) Annals of Mathematics and Artificial Intelligence 37
Calvanese D and Lukasiewicz T, ‘Preface’ (2013) 4(4) Semantic Web 349
Lukasiewicz T, Martinez M and Simari G, ‘Preference-based query answering in Datalog+/- ontologies’ [2013] IJCAI International Joint Conference on Artificial Intelligence 1017
Gottlob G and others, ‘Query answering under probabilistic uncertainty in Datalog+ / - ontologies’ (2013) 69(1) Annals of Mathematics and Artificial Intelligence 1
Lukasiewicz T and Simari G, ‘Tractable probabilistic description logic programs’ (2013) 304 Studies in Fuzziness and Soft Computing 131
Calì A, Gottlob G and Lukasiewicz T, ‘A general Datalog-based framework for tractable query answering over ontologies’ (2012) 14 Journal of Web Semantics 57
d’Amato C and others, ‘Ontology-based semantic search on the Web and its combination with the power of inductive reasoning’ (2012) 65(2-3) Annals of Mathematics and Artificial Intelligence 83
Lukasiewicz T and Sali A, ‘Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface’ (2012) 7153 LNCS Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Greco S and Lukasiewicz T, ‘Preface’ (2012) 64(2-3) Annals of Mathematics and Artificial Intelligence 109
Calì A, Gottlob G and Lukasiewicz T, ‘A general Datalog-based framework for tractable query answering over ontologies’ (2012) 14 Journal of Web Semantics: Science, Services and Agents on the World Wide Web 57
Greco S and Lukasiewicz T, ‘Special Issue: Scalable Uncertainty Management Preface’ (2012) 64(2-3) ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 109
d’Amato C and others, ‘Ontology-based semantic search on the Web and its combination with the power of inductive reasoning’ [2012] Annals of Mathematics and Artificial Intelligence 1
Greco S and Lukasiewicz T, ‘Preface’ (2012) 68(2) Annals of Mathematics and Artificial Intelligence 1
Calì A and others, ‘Datalog+/-: A family of languages for ontology querying’ (2011) 6702 LNCS Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 351
Gottlob G, Lukasiewicz T and Simari G, ‘Answering threshold queries in probabilistic datalog+/- ontologies’ (2011) 6929 LNAI Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 401
Gottlob G, Lukasiewicz T and Simari G, ‘Conjunctive query answering in probabilistic datalog+/- ontologies’ (2011) 6902 LNCS Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 77
Lukasiewicz T, Predoiu L and Stuckenschmidt H, ‘Tightly integrated probabilistic description logic programs for representing ontology mappings’ (2011) 63(3/4) Annals of Mathematics and Artificial Intelligence 385
Cali A and others, ‘A Logical Toolbox for Ontological Reasoning’ (2011) 40(3) SIGMOD RECORD 5
Eiter T and others, ‘Well-founded semantics for description logic programs in the Semantic Web’ (2011) 12(2) ACM Transactions on Computational Logic 1
Fazzinga B and others, ‘Semantic Web search based on ontological conjunctive queries’ (2011) 9(4) Journal of Web Semantics: Science, Services and Agents on the World Wide Web 453
Calì A and others, ‘Ontological reasoning with f-logic lite and its extensions’ (2010) 3(1) Proceedings of the National Conference on Artificial Intelligence 1660
D’Amato C and others, ‘Combining semantic web search with the power of inductive reasoning’ (2010) 6379 LNAI Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 137
Lukasiewicz T, ‘A novel combination of answer set programming with description logics for the Semantic Web’ (2010) 22(11) IEEE Transactions on Knowledge and Data Engineering 1577
D’Amato C and others, ‘Inductive reasoning and semantic web search’ [2010] Proceedings of the ACM Symposium on Applied Computing 1446
Fazzinga B and others, ‘Semantic Web Search Based on Ontological Conjunctive Queries’ (2010) 5956 LNCS(4) Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 153
Fazzinga B and Lukasiewicz T, ‘Semantic search on the Web’ (2010) 1(1,2) Semantic Web 89
Calì A and others, ‘Datalog+/-: A family of logical knowledge representation and query languages for new applications’ [2010] Proceedings - Symposium on Logic in Computer Science 228
Lukasiewicz T, ‘Uncertainty reasoning for the Semantic Web’ (2009) 5837 LNCS Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 26
D’Amato C and others, ‘Approximate classification of semantically annotated web resources exploiting pseudo-metrics induced by local models’ (2009) 1 Proceedings - 2009 IEEE WIC ACM International Conference on Web Intelligence, WI 2009 689
Lukasiewicz T and Ragone A, ‘Combining boolean games with the power of ontologies for automated multi-attribute negotiation in the Semantic Web’ (2009) 2 Proceedings - 2009 IEEE WIC ACM International Conference on Intelligent Agent Technology, IAT 2009 395
Drabent W and others, ‘Hybrid reasoning with rules and ontologies’ (2009) 5500 LNCS Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 1
D’Amato C and others, ‘Inductive query answering and concept retrieval exploiting local models’ [2009] ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications 1209
Calí A, Gottlob G and Lukasiewicz T, ‘A general datalog-based framework for tractable query answering over ontologies’ [2009] Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems 77
Lukasiewicz T, ‘Uncertainty in the semantic web’ (2009) 5785 LNAI Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2
Calì A, Gottlob G and Lukasiewicz T, ‘Datalog<sup>±</sup>: A unified approach to ontologies and integrity constraints’ (2009) 361 ACM International Conference Proceeding Series 14
Lukasiewicz T and Straccia U, ‘Description logic programs under probabilistic uncertainty and fuzzy vagueness’ (2009) 50(6) INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 837
Calì A and others, ‘Tightly coupled probabilistic description logic programs for the semantic web’ (2009) 5480 LNCS Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 95
D’Amato C, Fanizzi N and Lukasiewicz T, ‘Tractable reasoning with bayesian description logics’ (2008) 5291 LNAI Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 146
Greco S and Lukasiewicz T, ‘Scalable uncertainty management: Preface’ (2008) 5291 LNAI Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Lukasiewicz T and Straccia U, ‘Managing uncertainty and vagueness in description logics for the Semantic Web’ (2008) 6(4) Web Semantics 291
Iocchi L and others, ‘Reasoning about actions with sensing under qualitative and probabilistic uncertainty’ (2008) 10(1) ACM Transactions on Computational Logic 1
Lukasiewicz T, ‘Probabilistic description logic programs under inheritance with overriding for the Semantic Web’ (2008) 49(1) International Journal of Approximate Reasoning 18
Lukasiewicz T, ‘Logical approaches to imprecise probabilities’ (2008) 49(1) International Journal of Approximate Reasoning 1
Calì A and others, ‘Tightly integrated probabilistic description logic programs for representing ontology mappings’ (2008) 4932 LNCS Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 178
Eiter T and others, ‘Combining answer set programming with description logics for the Semantic Web’ (2008) 172(12-13) Artificial Intelligence 1495
Lukasiewicz T and Straccia U, ‘Tightly coupled fuzzy description logic programs under the answer set semantics for the Semantic Web’ (2008) 4(3) International Journal on Semantic Web and Information Systems 68
Schellhase J and Lukasiewicz T, ‘Using search strategies and a description logic paradigm with conditional preferences for literature search’ (2008) 3(1) International Journal of Metadata Semantics and Ontologies 68
Calì A and Lukasiewicz T, ‘An approach to probabilistic data integration for the Semantic Web’ (2008) 5327 LNAI Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 52
Calì A and others, ‘Rule-based approaches for representing probabilistic ontology mappings’ (2008) 5327 LNAI Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 66
Cano A, Cozman F and Lukasiewicz T, ‘Reasoning with imprecise probabilities’ (2007) 44(3) International Journal of Approximate Reasoning 197
Eiter T and Lukasiewicz T, ‘Causes and explanations in the structural-model approach: Tractable cases’ (2006) 170(6-7) Artificial Intelligence 542
Lukasiewicz T, ‘Weak nonmonotonic probabilistic logics’ (2005) 168(1-2) Artificial Intelligence 119
Lukasiewicz T, ‘Nonmonotonic probabilistic reasoning under variable-strength inheritance with overriding’ (2005) 146(1-2) Synthese 153
Kern-Isberner G and Lukasiewicz T, ‘Combining probabilistic logic programming with the power of maximum entropy’ (2004) 157(1-2) Artificial Intelligence 139
Eiter T and Lukasiewicz T, ‘Complexity results for explanations in the structural-model approach’ (2004) 154(1-2) Artificial Intelligence 145
Biazzo V and others, ‘Temporal probabilistic object bases’ (2003) 15(4) IEEE Transactions on Knowledge and Data Engineering 921
Eiter T and Lukasiewicz T, ‘Complexity results for structure-based causality’ (2002) 142(1) Artificial Intelligence 53
Lukasiewicz T, ‘Probabilistic Default Reasoning with Conditional Constraints’ (2002) 34(1-3) Annals of Mathematics and Artificial Intelligence 35
Eiter T and others, ‘Probabilistic object bases’ (2001) 26(3) ACM Transactions on Database Systems 264
Eiter T and Lukasiewicz T, ‘Default reasoning from conditional knowledge bases: Complexity and tractable cases’ (2000) 124(2) Artificial Intelligence 169
Lukasiewicz T, ‘Local probabilistic deduction from taxonomic and probabilistic knowledge-bases over conjunctive events’ (1999) 21(1) International Journal of Approximate Reasoning 23
Lukasiewicz T, ‘Probabilistic Deduction with Conditional Constraints over Basic Events’ (1999) 10 Journal of Artificial Intelligence Research 199
Simari G and others, ‘Subjective Data: Model and Query Answering’, SpringerBriefs in Computer Science (Springer International Publishing 2017)
Simari G and others, ‘Related Research Lines’, SpringerBriefs in Computer Science (Springer International Publishing 2017)
Simari G and others, ‘Ontology-Based Data Access with Datalog+/−’, SpringerBriefs in Computer Science (Springer International Publishing 2017)
Simari G and others, ‘Models for Representing User Preferences’, SpringerBriefs in Computer Science (Springer International Publishing 2017)
Kahane G, Savulescu J and Ter Meulen R, ‘Preface’ in J Savulescu, RT Meulen and G Kahane (eds.), Enhancing Human Capacities (Wiley-Blackwell 2011)
Calì A, Gottlob G and Lukasiewicz T, ‘Datalog Extensions for Tractable Query Answering over Ontologies.’ in RD Virgilio, F Giunchiglia and L Tanca (eds.), Semantic Web Information Management (Springer 2009)
Salvatori T and others, ‘Associative Memories in the Feature Space’, Frontiers in Artificial Intelligence and Applications (IOS Press 2023)
Jackson F and Lukasiewicz T, ‘Deconvolution of cell-free DNA in cancer liquid biopsy using a deep AutoEncoder’, ACM-BCB 2023 - 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (Association for Computing Machinery (ACM) 2023)
Li B, Torr P and Lukasiewicz T, ‘Image-to-image translation with text guidance’, Proceedings of the 33rd British Machine Vision Conference (BMVC 2022) (British Machine Vision Association 2023)
Ceylan I and others, ‘Explanations for Negative Query Answers under Existential Rules’, CEUR Workshop Proceedings (2023)
Lukasiewicz T and Malizia E, ‘Pareto and Majority Voting in mCP-nets’, CEUR Workshop Proceedings (2023)
Li B, Torr P and Lukasiewicz T, ‘Clustering generative adversarial networks for story visualization’, Proceedings of the 30th ACM International Conference on Multimedia (Association for Computing Machinery 2022)
Kayser M and others, ‘e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks’, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (IEEE 2022)
Ceylan I and others, ‘Query Answer Explanations under Existential Rules’ in G Amato and others (eds.), CEUR Workshop Proceedings (CEUR-WS.org 2022)
Lukasiewicz T, Malizia E and Molinaro C, ‘Explanations for Inconsistency-Tolerant Query Answering under Existential Rules’, CEUR Workshop Proceedings (2022)
Lukasiewicz T, Malizia E and Vaicenavičius A, ‘Complexity of Inconsistency-Tolerant Query Answering in Datalog under Cardinality-Based Repairs’, CEUR Workshop Proceedings (2022)
Salvatori T and others, ‘Associative Memories via Predictive Coding’, Advances in Neural Information Processing Systems 34 (NeurIPS 2021) ( Curran Associates 2021)
Kocijan V and LUKASIEWICZ T, ‘Knowledge Base Completion Meets Transfer Learning’, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (Association for Computational Linguistics 2021)
Nuthalapati S and others, ‘Lightweight Visual Question Answering using Scene Graphs’, CIKM ’21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (Association for Computing Machinery 2021)
Mahon L and LUKASIEWICZ T, ‘Selective Pseudo-Label Clustering’ in Edelkamp, Möller and Rueckert (eds.), KI 2021: Advances in Artificial Intelligence. KI 2021 (Springer 2021)
Abboud R and others, ‘The Surprising Power of Graph Neural Networks with Random Node Initialization’ in Z-H Zhou (ed.), Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, (IJCAI-21) (International Joint Conferences on Artificial Intelligence Organization 2021)
Sha L, Hohenecker P and LUKASIEWICZ T, ‘Controlling Text Edition by Changing Answers of Specific Questions’, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (Association for Computational Linguistics 2021)
Wang J and others, ‘RSG: A Simple but Effective Module for Learning Imbalanced Datasets’, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (IEEE 2021)
Sha L, Camburu O and LUKASIEWICZ T, ‘Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration’, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI Press 2021)
CEYLAN I and others, ‘Preferred Explanations for Ontology−Mediated Queries under Existential Rules’, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI Press 2021)
Kocijan V, Camburu O and LUKASIEWICZ T, ‘The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias−Measuring Datasets’, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI Press 2021)
Sha L and LUKASIEWICZ T, ‘Multi−Type Disentanglement without Adversarial Training’, Proceedings of the AAAI Conference on Artificial Intelligence (Association for the Advancement of Artificial Intelligence 2021)
Mahon L and others, ‘Knowledge Graph Extraction from Videos’, Proceedings of the 2020 International Conference on Machine Learning and Applications (ICMLA) (Institute of Electrical and Electronics Engineers 2021)
Song Y and others, ‘Can the Brain Do Backpropagation? — Exact Implementation of Backpropagation in Predictive Coding Networks’, NeuRIPS 2020 (NeuRIPS 2020)
PETROVA A, ARMOUR J and LUKASIEWICZ T, ‘Extracting Outcomes from Appellate Decisions in US State Courts’ in S Villata, J Harasta and P Kremen (eds.), Volume 334: Legal Knowledge and Information Systems (IOS Press 2020)
Li B and others, ‘Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation’, NeurIPS Proceedings (NeurIPS 2020)
Hohenecker P and others, ‘Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction’, Emnlp 2020 2020 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference (Association for Computational Linguistics 2020)
YORDANOV Y and others, ‘Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution’, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (Association for Computational Linguistics 2020)
Abboud R and others, ‘BoxE: A Box Embedding Model for Knowledge Base Completion’ in H Larochelle and others (eds.), NeurIPS Proceedings (NeurIPS 2020)
Giunchiglia E and LUKASIEWICZ T, ‘Coherent Hierarchical Multi-Label Classification Networks’, NeurIPS Proceedings (NeurIPS 2020)
Kocijan V and others, ‘WikiCREM: A Large Unsupervised Corpus for Coreference Resolution’ in K Inui and others (eds.), Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) (Association for Computational Linguistics 2020)
Li Y and others, ‘An interpretable model for incident heart failure prediction with uncertainty estimation’, European Heart Journal (Oxford University Press (OUP) 2020)
CEYLAN I and others, ‘Explanations for Negative Query Answers under Existential Rules’, Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (IJCAI Organization 2020)
CEYLAN I and others, ‘Explanations for Ontology-Mediated Query Answering in Description Logics’ in GD Giacomo and others (eds.), Frontiers in Artificial Intelligence and Applications (IOS Press 2020)
Li B and others, ‘ManiGAN: Text-Guided Image Manipulation’, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (IEEE 2020)
Camburu O-M and others, ‘Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations’ in D Jurafsky and others (eds.), Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL Anthology 2020)
Hohenecker P and LUKASIEWICZ T, ‘Ontology Reasoning with Deep Neural Networks (Extended Abstract)’, IJCAI 2020 (IJCAI 2020)
CEYLAN I and others, ‘Explanations for Negative Query Answers under Existential Rules’ in D Calvanese, E Erdem and M Thielscher (eds.), KR2020: PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PRINCIPLES OF KNOWLEDGE REPRESENTATION AND REASONING (International Joint Conferences on Artificial Intelligence 2020)
Song Y and others, ‘Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence’, 34th AAAI Conference on Artificial Intelligence (AAAI 2020) (Association for the Advancement of Artificial Intelligence 2020)
Song Y and others, ‘Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards’, 34th AAAI Conference on Artificial Intelligence (AAAI 2020) (Association for the Advancement of Artificial Intelligence 2020)
Abboud R, CEYLAN I and LUKASIEWICZ T, ‘Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting’, 34th AAAI Conference on Artificial Intelligence (AAAI 2020) (Association for the Advancement of Artificial Intelligence 2020)
LUKASIEWICZ T, Malizia E and Molinaro C, ‘Explanations for Inconsistency-Tolerant Query Answering under Existential Rules’, 34th AAAI Conference on Artificial Intelligence (AAAI 2020) (Association for the Advancement of Artificial Intelligence 2020)
Xu Z and others, ‘Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation’, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (IEEE Digital Library 2020)
Ceylan I and others, ‘Explanations for ontology-mediated query answering in description logics’, CEUR Workshop Proceedings (2020)
Ceylan I and others, ‘Explanations for Ontology-Mediated Query Answering in Description Logics (Extended Abstract).’ in S Borgwardt and T Meyer (eds.), Description Logics (CEUR-WS.org 2020)
Ceylan I and others, ‘Explanations for negative query answers under existential rules’, 17th International Conference on Principles of Knowledge Representation and Reasoning, KR 2020 (2020)
Hohenecker P and Lukasiewicz T, ‘Ontology reasoning with deep neural networks’, Ijcai International Joint Conference on Artificial Intelligence (2020)
Li B and others, ‘controllable Text-to-Image Generation’, Neural Information Processing Systems 2019 (Nueral Information Processing Systems 2019)
Li B and others, ‘Controllable Text-to-Image Generation’, NIPS Proceedings (Neural Information Processing Systems Foundation 2019)
CEYLAN I and others, ‘Explanations for Query Answers under Existential Rules’ in S Kraus (ed.), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (International Joint Conference on Artificial Intelligence Organization 2019)
Kocijan V and others, ‘A Surprisingly Robust Trick for the Winograd Schema Challenge’, ACL Anthology (Association for Computational Linguistics 2019)
LUKASIEWICZ T, Malizia E and Vaicenavičius A, ‘Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs’, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) (AAAI Press 2019)
Borgwardt S, CEYLAN I and LUKASIEWICZ T, ‘Ontology-Mediated Query Answering over Log-Linear Probabilistic Data’ in M Simkus and GE Weddell (eds.), Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) (AAAI Press 2019)
Song Y and others, ‘Diversity-Driven Extensible Hierarchical Reinforcement Learning’, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) (AAAI Press 2019)
Amador-Domı́nguez E and others, ‘An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities’ in F Herrera, K Matsui and S Rodríguez-González (eds.), Distributed Computing and Artificial Intelligence, 16th International Conference Proceedings (Springer 2019)
Borgwardt S, CEYLAN I and LUKASIEWICZ T, ‘Ontology-Mediated Query Answering over Log-Linear Probabilistic Data (Abstract)’, 32nd International Workshop on Description Logics (DL 2019) (CEUR-WS.org 2019)
Li B and others, ‘Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment’, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) (IEEE 2019)
Vasile D and LUKASIEWICZ T, ‘Learning Structured Video Descriptions: Automated Video Knowledge Extraction for Video Understanding Tasks’, 17th OnTheMove Federated Conferences and Workshops (OTM 2018) (Springer 2018)
LUKASIEWICZ T, Malizia E and Molinaro C, ‘Complexity of Approximate Query Answering under Inconsistency in Datalog+/-’, SEBD 2018 26th Italian Symposium on Advanced Database Systems, 24-25-26-27 June, 2018 Castellaneta Marina (Taranto), Italy (http://ceur-ws.org/ 2018)
CEYLAN I and Lukasiewicz T, ‘A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases’ in C d’Amato and M Theobald (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer Verlag 2018)
Lukasiewicz T, Malizia E and Molinaro C, ‘Complexity of Approximate Query Answering under Inconsistency in Datalog+/-’, 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligenc‚ (IJCAI−ECAI 2018) (International Joint Conferences on Artificial Intelligence 2018)
Borgwardt S, Ceylan I and Lukasiewicz T, ‘Recent Advances in Querying Probabilistic Knowledge Bases’ in J Lang (ed.), 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018) (International Joint Conferences on Artificial Intelligence 2018)
Camburu O-M and others, ‘e-SNLI: Natural Language Inference with Natural Language Explanations.’ in S Bengio and others (eds.), NeurIPS (2018)
Lukasiewicz T, Peñaloza R and Turhan A, ‘Preface’, CEUR Workshop Proceedings (2018)
Camburu O-M and others, ‘e-SNLI: Natural Language Inference with Natural Language Explanations’, Advances in Neural Information Processing Systems 31 (NIPS 2018) (Neural Information Processing Systems 2018)
Xu Z and others, ‘Tag-Aware Personalized Recommendation Using a Hybrid Deep Model’ in C Sierra (ed.), Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) (IJCAI/AAAI Press 2017)
Ceylan I, Borgwardt S and Lukasiewicz T, ‘Most Probable Explanations for Probabilistic Database Queries’ in C Sierra (ed.), Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) (IJCAI/AAAI Press 2017)
Ceylan I and others, ‘Query Answering in Ontologies under Preference Rankings’ in C Sierra (ed.), Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) (IJCAI/AAAI Press 2017)
Lukasiewicz T, ‘Uncertainty Reasoning for the Semantic Web’ in G Ianni and others (eds.), Reasoning Web 2017: Reasoning Web. Semantic Interoperability on the Web (Springer 2017)
Chen C and others, ‘Location-Aware News Recommendation Using Deep Localized Semantic Analysis’, Proceedings of the 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017) (Springer 2017)
Borgwardt S, Ceylan I and Lukasiewicz T, ‘Ontology-Mediated Queries for Probabilistic Databases’ in S Singh and S Markovitch (eds.), Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI’17) (AAAI Press 2017)
Borgwardt S and others, ‘Preferential Query Answering in the Semantic Web with Possibilistic Networks’, KI 2016: Advances in Artificial Intelligence (Springer 2016)
Ceylan I, Lukasiewicz T and Peñaloza R, ‘Complexity Results for Probabilistic Datalog±’ in MS Fox and GA Kaminka (eds.), Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI 2016) (IOS Press 2016)
Lukasiewicz T and Predoiu L, ‘Complexity of Threshold Query Answering in Probabilistic Ontological Data Exchange’ in GA Kaminka and others (eds.), Proceedings of the 22nd European Conference on Artificial Intelligence‚ ECAI 2016 (IOS Press 2016)
Lukasiewicz T and others, ‘Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination’, Proceedings of the 15th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2016 (AAAI Press 2016)
Eiter T, Lukasiewicz T and Predoiu L, ‘Generalized Consistent Query Answering under Existential Rules’ in C Baral, JP Delgrande and F Wolter (eds.), Proceedings of the 15th International Conference on the Principles of Knowledge Representation and Reasoning‚ KR 2016 (AAAI Press 2016)
Lukasiewicz T and Malizia E, ‘On the Complexity of mCP−Nets’ in D Schuurmans and M Wellman (eds.), Proceedings of the 30th National Conference on Artificial Intelligence (AAAI 2016) (AAAI Press 2016)
Lukasiewicz T and others, ‘Basic Probabilistic Ontological Data Exchange with Existential Rules’ in D Schuurmans and M Wellman (eds.), Proceedings of the 30th National Conference on Artificial Intelligence (AAAI 2016) (Association for the Advancement of Artificial Intelligence 2016)
Xu Z and others, ‘Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling’, 25th ACM International Conference on Information and Knowledge Management (CIKM 2016) (ACM Press 2016)
Borgwardt S and others, ‘Preferential Query Answering in the Semantic Web with Possibilistic Networks’ in S Kambhampati (ed.), Proceedings of the 25th International Joint Conference on Artificial Intelligence‚ IJCAI 2016, New York‚ NY‚ USA‚ July 9−15‚ 2016 (AAAI Press 2016)
Lukasiewicz T and others, ‘Ranking Answers to Datalog+/- Ontologies based on Trust and Reliability of Subjective Reports.’ in C Beierle, G Brewka and M Thimm (eds.), Computational Models of Rationality (College Publications 2016)
Lukasiewicz T and others, ‘From classical to consistent query answering under existential rules’, Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management (CEUR Workshop Proceedings 2015)
Lukasiewicz T and others, ‘From classical to consistent query answering under existential rules’, Proceedings of the National Conference on Artificial Intelligence (2015)
Ceylan I, Lukasiewicz T and Peñaloza R, ‘Answering EL queries in the presence of preferences’ in D Calvanese and B Konev (eds.), Ceur Workshop Proceedings (CEUR-WS.org 2015)
Lukasiewicz T and others, ‘Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange’ in N Bassiliades and others (eds.), Lecture Notes in Computer Science (Springer Nature 2015)
Di Noia T and others, ‘Combining existential rules with the power of CP-theories’ in Q Yang and MJ Wooldridge (eds.), Ijcai International Joint Conference on Artificial Intelligence (AAAI Press 2015)
Lukasiewicz T and others, ‘Probabilistic ontological data exchange with Bayesian networks’ in F Bobillo and others (eds.), Ceur Workshop Proceedings (CEUR-WS.org 2015)
Lukasiewicz T, ‘Uncertainty in the semantic web’, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics (2015)
Rosati J and others, ‘Preference Queries with Ceteris Paribus Semantics for Linked Data’, Lecture Notes in Computer Science (Springer Nature 2015)
Gottlob G, Lukasiewicz T and Pieris A, ‘Datalog+/-: Questions and answers’ in C Baral, GD Giacomo and T Eiter (eds.), Proceedings of the International Conference on Knowledge Representation and Reasoning (AAAI Press 2014)
Gottlob G and others, ‘Stable model semantics for guarded existential rules and description logics’ in C Baral, GD Giacomo and T Eiter (eds.), Proceedings of the International Conference on Knowledge Representation and Reasoning (AAAI Press 2014)
Lukasiewicz T and others, ‘Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/—’, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014)
Bobillo F and others, ‘Uncertainty Reasoning for the Semantic Web III’ in F Bobillo and others (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer International Publishing 2014)
Di Noia T and others, ‘Computing κ-rank answers with ontological CP-nets’, 22nd Italian Symposium on Advanced Database Systems, SEBD 2014 (2014)
Di Noia T and others, ‘Ontological CP-Nets’, Lecture Notes in Computer Science (Springer Nature 2014)
Di Noia T and others, ‘Computing κ-rank answers with ontological CP-nets’, CEUR Workshop Proceedings (2014)
Lukasiewicz T and others, ‘Answering ontological ranking queries based on subjective reports’ in T Lukasiewicz, R Peñaloza and A-Y Turhan (eds.), CEUR Workshop Proceedings (CEUR-WS.org 2014)
Lukasiewicz Thomas, Martinez Maria Vanina and Simari Gerardo I., ‘Probabilistic Preference Logic Networks’, Frontiers in Artificial Intelligence and Applications (IOS Press 2014)
Lukasiewicz T and others, ‘Query answering in Datalog+/- ontologies under group preferences and probabilistic uncertainty’, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer Nature 2013)
Lukasiewicz T, Martinez M and Simari G, ‘Preference-based query answering in Datalog+/- ontologies’, IJCAI International Joint Conference on Artificial Intelligence (2013)
De Gemmis M and others, ‘Workshop on recommender systems meet big data & semantic technologies - SeRSy 2013’, RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems (Association for Computing Machinery (ACM) 2013)
Lukasiewicz T, Martinez M and Simari G, ‘Complexity of inconsistency-tolerant query answering in Datalog+/-’, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer Nature 2013)
Lukasiewicz T, Martinez M and Simari G, ‘Preference-based query answering in probabilistic Datalog+/- ontologies’, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer Nature 2013)
Hernich A and others, ‘Well-founded semantics for extended datalog and ontological reasoning’ in R Hull and W Fan (eds.), Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (Association for Computing Machinery (ACM) 2013)
Di Noia T and Lukasiewicz T, ‘On ontologies and CP-nets’, 21st Italian Symposium on Advanced Database Systems Sebd 2013 (2013)
Lukasiewicz T and Predoiu L, ‘Information integration with provenance on the semantic web via probabilistic datalog±’ in F Bobillo and others (eds.), CEUR Workshop Proceedings (CEUR-WS.org 2013)
Lukasiewicz T, Martinez M and Simari G, ‘Complexity of Inconsistency-Tolerant Query Answering in Datalog+/-.’ in T Eiter and others (eds.), Description Logics (CEUR-WS.org 2013)
Di Noia T and Lukasiewicz T, ‘Combining CP-nets with the power of ontologies’, AAAI Workshop - Technical Report (2013)
Di Noia T, Lukasiewicz T and Simari G, ‘Reasoning with semantic-enabled qualitative preferences’, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer Nature 2013)
Lukasiewicz T and others, ‘Group preferences for query answering in datalog+/- ontologies’, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer Nature 2013)
Hernich A and others, ‘Well-Founded Semantics for Extended Datalog and Ontological Reasoning.’ in T Eiter and others (eds.), Description Logics (CEUR-WS.org 2013)
Noia T, Lukasiewicz T and Simari G, ‘Reasoning with DL-based CP-nets.’ in T Eiter and others (eds.), Description Logics (CEUR-WS.org 2013)
Lukasiewicz T, Martinez M and Simari G, ‘Preference-Based Query Answering in Datalog+/- Ontologies.’ in T Eiter and others (eds.), Description Logics (CEUR-WS.org 2013)
D’Amato C and others, ‘Representing uncertain concepts in rough description logics via contextual indiscernibility relations’, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer Nature 2013)
D’Amato C and others, ‘Semantic web search and inductive reasoning’ in F Bobillo and others (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer Nature 2013)
Di Noia T and Lukasiewicz T, ‘Introducing ontological CP-nets’, CEUR Workshop Proceedings (2012)
Gottlob G and others, ‘Equality-friendly well-founded semantics and applications to description logics’ in J Hoffmann and B Selman (eds.), CEUR Workshop Proceedings (AAAI Press 2012)
Gottlob G and others, ‘Equality-friendly well-founded semantics and applications to description logics’ in Y Kazakov, D Lembo and F Wolter (eds.), Proceedings of the National Conference on Artificial Intelligence (Association for the Advancement of Artificial Intelligence (AAAI) 2012)
Lukasiewicz T, Martinez M and Simari G, ‘Inconsistency-tolerant query rewriting for linear datalog+/-’, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Springer Nature 2012)
Lukasiewicz T, Martinez M and Simari G, ‘Inconsistency handling in Datalog+/- Ontologies’, Frontiers in Artificial Intelligence and Applications (IOS Press 2012)
Lukasiewicz T and others, ‘Heuristic Ranking in Tightly Coupled Probabilistic Description Logics’, Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, UAI 2012 (Twenty-Eighth Conference on Uncertainty in Artificial Intelligence 2012)
Lukasiewicz T, Martinez M and Simari G, ‘Consistent Answers in Probabilistic Datalog+/– Ontologies’ in M Krötzsch and U Straccia (eds.), Lecture Notes in Computer Science (Springer Nature 2012)
De Gemmis M and others, ‘Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation’, CEUR Workshop Proceedings (2011)
Fazzinga B and others, ‘Semantic Web Search Based on Ontological Conjunctive Queries’ in S Link and H Prade (eds.), Lecture Notes in Computer Science (Springer Nature 2010)
Calì A, Gottlob G and Lukasiewicz T, ‘Datalog±: A unified approach to ontologies and integrity constraints’, 17th Italian Symposium on Advanced Database Systems, SEBD 2009 (2009)
Calì A, Gottlob G and Lukasiewicz T, ‘Tractable query answering over ontologies with Datalog±’ in BC Grau and others (eds.), CEUR Workshop Proceedings (CEUR-WS.org 2009)
Lukasiewicz T and Ragone A, ‘A combination of boolean games with description logics for automated multi-attribute negotiation’ in BC Grau and others (eds.), CEUR Workshop Proceedings (CEUR-WS.org 2009)
d’Amato C and others, ‘Combining Semantic Web Search with the Power of Inductive Reasoning.’ in F Bobillo and others (eds.), URSW (CEUR-WS.org 2009)
Calì A, Gottlob G and Lukasiewicz T, ‘A General Datalog-Based Framework for Tractable Query Answering over Ontologies (extended abstract).’ in VD Antonellis and others (eds.), SEBD (Edizioni Seneca 2009)
Lukasiewicz T and Ragone A, ‘Combining Boolean games with the power of ontologies for automated multi-attribute negotiation in the Semantic Web’, CEUR Workshop Proceedings (2008)
Fanizzi N and others, ‘Representing uncertain concepts in rough description logics via contextual indiscernibility relations’, CEUR Workshop Proceedings (2008)
Lukasiewicz T, ‘Fuzzy description logic programs under the answer set semantics for the semantic web’, FUNDAMENTA INFORMATICAE (2008)
Calì A and others, ‘Representing Ontology Mappings with Probabilistic Description Logics Programs.’ in S Gaglio, I Infantino and D Saccà (eds.), SEBD (2008)
Lukasiewicz T and Schellhase J, ‘Variable-strength conditional preferences for ranking objects in ontologies’, Journal of Web Semantics (Elsevier 2007)
Lukasiewicz T, ‘Probabilistic description logic programs’, International Journal of Approximate Reasoning (Elsevier 2007)
Lukasiewicz T, ‘Nonmonotonic probabilistic logics under variable-strength inheritance with overriding: Complexity, algorithms, and implementation’, International Journal of Approximate Reasoning (Elsevier 2007)
Farinelli A, Finzi A and Lukasiewicz T, ‘Team Programming in Golog under Partial Observability’, 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (2007)
Lukasiewicz T and Straccia U, ‘Description logic programs under probabilistic uncertainty and fuzzy vagueness’, SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS (2007)
Calì A and Lukasiewicz T, ‘Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web’, Lecture Notes in Computer Science (Springer Nature 2007)
Lukasiewicz T and Straccia U, ‘Top-k retrieval in description logic programs under vagueness for the Semantic Web’, SCALABLE UNCERTAINTY MANAGEMENT, PROCEEDINGS (2007)
Lukasiewicz T and Straccia U, ‘Tightly integrated fuzzy description logic programs under the answer set semantics for the semantic Web’, WEB REASONING AND RULE SYSTEMS, PROCEEDINGS (2007)
Finzi A and Lukasiewicz T, ‘Game-theoretic agent programming in golog under partial observability’, KI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS (2007)
Lukasiewicz T, ‘Tractable Probabilistic Description Logic Programs’, Lecture Notes in Computer Science (Springer Nature 2007)
Lukasiewicz T, ‘A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web’, Lecture Notes in Computer Science (Springer Nature 2007)
Finzi A and Lukasiewicz T, ‘Adaptive multi-agent programming in GTGolog’, KI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS (2007)
Calì A and others, ‘A Framework for Representing Ontology Mappings under Probabilities and Inconsistency.’ in F Bobillo and others (eds.), URSW (CEUR-WS.org 2007)
Finzi A and Lukasiewicz T, ‘Adaptive Multi-Agent Programming in GTGolog’, ECAI 2006, PROCEEDINGS (2006)
Lukasiewicz T, ‘Fuzzy description logic programs under the answer set semantics for the semantic web’, RULEML 2006: SECOND INTERNATIONAL CONFERENCE ON RULES AND RULE MARKUP LANGUAGES FOR THE SEMANTIC WEB, PROCEEDINGS (2006)
Lukasiewicz T and Schellhase J, ‘Variable-Strength Conditional Preferences for Ranking Objects in Ontologies’, Lecture Notes in Computer Science (Springer Nature 2006)
Biazzo V and others, ‘Probabilistic logic under coherence: complexity and algorithms’, Annals of Mathematics and Artificial Intelligence (Springer Nature 2005)
Lukasiewicz T, ‘Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG’, ISIPTA 05-PROCEEDINGS OF THE FOURTH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES AND THEIR APPLICATIONS (2005)
Finzi A and Lukasiewicz T, ‘Game-Theoretic Reasoning About Actions in Nonmonotonic Causal Theories’, Lecture Notes in Computer Science (Springer Nature 2005)
Lukasiewicz T, ‘Probabilistic Description Logic Programs’, Lecture Notes in Computer Science (Springer Nature 2005)
Finzi A and Lukasiewicz T, ‘Game theoretic Golog under partial observability.’ in F Dignum and others (eds.), AAMAS (ACM 2005)
Iocchi L and others, ‘Reasoning about actions with sensing under qualitative and probabilistic uncertainty’, ECAI 2004: 16TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS (2004)
Eiter T and others, ‘Well-Founded Semantics for Description Logic Programs in the Semantic Web’, Lecture Notes in Computer Science (Springer Nature 2004)
Finzi A and Lukasiewicz T, ‘Relational Markov Games’, Lecture Notes in Computer Science (Springer Nature 2004)
Finzi A and Lukasiewicz T, ‘Game-theoretic agent programming in Golog’, ECAI 2004: 16TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS (2004)
Lukasiewicz T, ‘Probabilistic Lexicographic Entailment under Variable-Strength Inheritance with Overriding’, Lecture Notes in Computer Science (Springer Nature 2003)
Giugno R and Lukasiewicz T, ‘P-$$ \mathcal{S}\mathcal{H}\mathcal{O}\mathcal{Q} $$(D): A Probabilistic Extension of $$ \mathcal{S}\mathcal{H}\mathcal{O}\mathcal{Q} $$(D) for Probabilistic Ontologies in the Semantic Web’, LOGICS IN ARTIFICIAL INTELLIGENCE 8TH (Springer Berlin Heidelberg 2002)
Eiter T, Lukasiewicz T and Walter M, ‘A data model and algebra for probabilistic complex values’, Annals of Mathematics and Artificial Intelligence (Springer Nature 2001)
Eiter T and Lukasiewicz T, ‘New Tractable Cases in Default Reasoning from Conditional Knowledge Bases’, Lecture Notes in Computer Science (Springer Nature 2000)
Eiter T, Lukasiewicz T and Walter M, ‘Extension of the Relational Algebra to Probabilistic Complex Values’, Lecture Notes in Computer Science (Springer Nature 2000)
Gottlob G, Scarcello F and Sideri M, ‘Many-Valued Disjunctive Logic Programs with Probabilistic Semantics’, Lecture Notes in Computer Science (Springer Nature 1999)
Lukasiewicz T, ‘Probabilistic and truth-functional many-valued logic programming’, Proceedings 30th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2000) (Institute of Electrical and Electronics Engineers (IEEE) 1999)
Lukasiewicz T, ‘Probabilistic logic programming’, ECAI 1998: 13TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS (1998)
Lukasiewicz T, ‘Uncertain reasoning in concept lattices’, SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING AND UNCERTAINTY (1995)