| Combining answer set programming with description logics for the semantic web T Eiter, G Ianni, T Lukasiewicz, R Schindlauer, H Tompits Artificial Intelligence 172 (12/13), 1495-1539, 2008 | 738 | 2008 |
| Combining answer set programming with description logics for the semantic web T Eiter, T Lukasiewicz, R Schindlauer, H Tompits Principles of Knowledge Representation and Reasoning: Proceedings of the …, 2004 | 738* | 2004 |
| A general datalog-based framework for tractable query answering over ontologies A Calì, G Gottlob, T Lukasiewicz Web Semantics: Science, Services and Agents on the World Wide Web 14, 57-83, 2012 | 621 | 2012 |
| Managing uncertainty and vagueness in description logics for the Semantic Web T Lukasiewicz, U Straccia Journal of Web Semantics 6 (4), 291-308, 2008 | 593 | 2008 |
| Expressive probabilistic description logics T Lukasiewicz Artificial Intelligence 172 (6/7), 852-883, 2008 | 301 | 2008 |
| P-SHOQ(D): A probabilistic extension of SHOQ(D) for probabilistic ontologies in the Semantic Web R Giugno, T Lukasiewicz Proceedings of the 8th European Conference on Logics in Artificial …, 2002 | 241 | 2002 |
| e-snli: Natural language inference with natural language explanations OM Camburu, T Rocktäschel, T Lukasiewicz, P Blunsom Advances in Neural Information Processing Systems 31, 2018 | 214 | 2018 |
| Datalog+/-: A family of logical knowledge representation and query languages for new applications A Calı, G Gottlob, T Lukasiewicz, B Marnette, A Pieris Proceedings of the 25th Symposium on Logic in Computer Science (LICS 2010 …, 2010 | 181 | 2010 |
| Datalog±: A unified approach to ontologies and integrity constraints A Calì, G Gottlob, T Lukasiewicz Proceedings of the 12th International Conference on Database Theory (ICDT …, 2009 | 156 | 2009 |
| Probabilistic logic programming T Lukasiewicz Proceedings of the 13th European Conference on Artificial Intelligence, 388-392, 1998 | 142 | 1998 |
| Controllable text-to-image generation B Li, X Qi, T Lukasiewicz, P Torr Advances in Neural Information Processing Systems 32, 2019 | 127 | 2019 |
| Probabilistic default reasoning with conditional constraints T Lukasiewicz Annals of Mathematics and Artificial Intelligence 34 (1-3), 35-88, 2002 | 127 | 2002 |
| Probabilistic deduction with conditional constraints over basic events T Lukasiewicz Journal of Artificial Intelligence Research (JAIR) 10, 199-241, 1999 | 126 | 1999 |
| Probabilistic logic programming with conditional constraints T Lukasiewicz ACM Transactions on Computational Logic (TOCL) 2 (3), 289-339, 2001 | 122 | 2001 |
| Complexity results for structure-based causality T Eiter, T Lukasiewicz Artificial Intelligence 142 (1), 53-89, 2002 | 105 | 2002 |
| Complexity results for structure-based causality T Eiter, T Lukasiewicz Proceedings of the 17th International Joint Conference on Artificial …, 2001 | 105 | 2001 |
| Well-founded semantics for description logic programs in the Semantic Web T Eiter, T Lukasiewicz, R Schindlauer, H Tompits Proceedings of the 3rd International Workshop on Rules and Rule Markup …, 2004 | 104 | 2004 |
| Combining probabilistic logic programming with the power of maximum entropy G Kern-Isberner, T Lukasiewicz Artificial Intelligence 157 (1/2), 139-202, 2004 | 95 | 2004 |
| ManiGAN: Text-Guided Image Manipulation B Li, X Qi, T Lukasiewicz, PHS Torr Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 90 | 2020 |
| Well-founded semantics for description logic programs in the Semantic Web T Eiter, G Ianni, T Lukasiewicz, R Schindlauer ACM Transactions on Computational Logic (TOCL) 12 (2), 11, 2011 | 90 | 2011 |
