| Learning description logic concepts: When can positive and negative examples be separated M Funk, JC Jung, C Lutz, H Pulcini, F Wolter Proceedings of IJCAI 19, 2019 | 52 | 2019 |
| Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies M Funk, JC Jung, C Lutz arXiv preprint arXiv:2204.14172, 2022 | 16 | 2022 |
| Actively learning concepts and conjunctive queries under ELr-ontologies M Funk, JC Jung, C Lutz arXiv preprint arXiv:2105.08326, 2021 | 16 | 2021 |
| Extremal fitting problems for conjunctive queries B Ten Cate, V Dalmau, M Funk, C Lutz Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2023 | 13 | 2023 |
| SAT-based PAC learning of description logic concepts B Ten Cate, M Funk, JC Jung, C Lutz Proc. of IJCAI, 2023 | 10 | 2023 |
| Towards Ontology Construction with Language Models M Funk, S Hosemann, JC Jung, C Lutz arXiv preprint arXiv:2309.09898, 2023 | 9 | 2023 |
| Concept-by-example in EL knowledge bases M Funk Master's thesis, University of Bremen, 2019 | 7 | 2019 |
| On the non-efficient PAC learnability of conjunctive queries B ten Cate, M Funk, JC Jung, C Lutz Information Processing Letters, 106431, 2023 | 6* | 2023 |
| Exact Learning of ELI Queries in the Presence of DL-Lite-Horn Ontologies. M Funk, JC Jung, C Lutz Description Logics, 2022 | 4 | 2022 |
| Actively Learning ELI Queries under DL-Lite Ontologies. M Funk, JC Jung, C Lutz Description Logics, 2021 | 4 | 2021 |
| Fitting Algorithms for Conjunctive Queries B ten Cate, M Funk, J Christoph Jung, C Lutz ACM SIGMOD Record 52 (4), 6-18, 2024 | 1 | 2024 |
| Extremal Fitting CQs do not Generalize B Cate, M Funk, JC Jung, C Lutz arXiv preprint arXiv:2312.03407, 2023 | 1* | 2023 |
Carsten LutzProfessor of Computer Science, University of Leipzig在 informatik.uni-leipzig.de 的电子邮件经过验证
