| Inductive logic programming: Theory and methods S Muggleton, L De Raedt The Journal of Logic Programming 19, 629-679, 1994 | 1979 | 1994 |
| Top-down induction of first-order logical decision trees H Blockeel, L De Raedt Artificial intelligence 101 (1-2), 285-297, 1998 | 943 | 1998 |
| ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. L De Raedt, A Kimmig, H Toivonen IJCAI 7, 2462-2467, 2007 | 727 | 2007 |
| Top-down induction of clustering trees H Blockeel, L De Raedt, J Ramon arXiv preprint cs/0011032, 2000 | 557 | 2000 |
| Logical and relational learning L De Raedt Springer Science & Business Media, 2008 | 536 | 2008 |
| Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43 (1-2), 7-52, 2001 | 515 | 2001 |
| Probabilistic inductive logic programming L De Raedt, K Kersting Probabilistic Inductive Logic Programming, 1-27, 2008 | 462 | 2008 |
| Clausal discovery L De Raedt, L Dehaspe Machine Learning 26 (2-3), 99-146, 1997 | 370 | 1997 |
| Bayesian logic programs K Kersting, L De Raedt arXiv preprint cs/0111058, 2001 | 311 | 2001 |
| Mining association rules in multiple relations L Dehaspe, L De Raedt International Conference on Inductive Logic Programming, 125-132, 1997 | 311 | 1997 |
| Interactive Theory Revision an Inductive Logic Programming Approach L De Raedt | 286 | 1992 |
| Molecular feature mining in HIV data S Kramer, L De Raedt, C Helma Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 284 | 2001 |
| Inference and learning in probabilistic logic programs using weighted Boolean formulas D Fierens, G Van den Broeck, J Renkens, D Shterionov, B Gutmann, ... Theory and Practice of Logic Programming 15 (3), 358-401, 2015 | 246 | 2015 |
| Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds C Helma, T Cramer, S Kramer, L De Raedt Journal of chemical information and computer sciences 44 (4), 1402-1411, 2004 | 225 | 2004 |
| Probabilistic logic learning L De Raedt, K Kersting ACM SIGKDD Explorations Newsletter 5 (1), 31-48, 2003 | 217 | 2003 |
| First-order jk-clausal theories are PAC-learnable L De Raedt, S Džeroski Artificial Intelligence 70 (1-2), 375-392, 1994 | 210 | 1994 |
| Multi instance neural networks J Ramon, L De Raedt Proceedings of the ICML-2000 workshop on attribute-value and relational …, 2000 | 205 | 2000 |
| Logical settings for concept-learning L De Raedt Artificial Intelligence 95 (1), 187-201, 1997 | 202 | 1997 |
| Inductive constraint logic L De Raedt, W Van Laer International Workshop on Algorithmic Learning Theory, 80-94, 1995 | 201 | 1995 |
| The levelwise version space algorithm and its application to molecular fragment finding L De Raedt, S Kramer International Joint Conference on Artificial Intelligence 17 (1), 853-862, 2001 | 200 | 2001 |
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, hessian.ai, TU DarmstadtDirección de correo verificada de cs.tu-darmstadt.de
