Inductive logic programming: Theory and methods S Muggleton, L De Raedt The Journal of Logic Programming 19, 629-679, 1994 | 2351 | 1994 |
Top-down induction of first-order logical decision trees H Blockeel, L De Raedt Artificial intelligence 101 (1-2), 285-297, 1998 | 1077 | 1998 |
ProbLog: A probabilistic Prolog and its application in link discovery L De Raedt, A Kimmig, H Toivonen IJCAI 2007, Proceedings of the 20th international joint conference on …, 2007 | 1066 | 2007 |
Logical and relational learning L De Raedt Springer Science & Business Media, 2008 | 682 | 2008 |
Top-down induction of clustering trees H Blockeel, L De Raedt, J Ramon arXiv preprint cs/0011032, 2000 | 658 | 2000 |
Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43, 7-52, 2001 | 626 | 2001 |
Deepproblog: Neural probabilistic logic programming R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt Advances in neural information processing systems 31, 2018 | 572 | 2018 |
Probabilistic inductive logic programming L De Raedt, K Kersting Probabilistic inductive logic programming: theory and applications, 1-27, 2008 | 515* | 2008 |
Clausal discovery L De Raedt, L Dehaspe Machine Learning 26, 99-146, 1997 | 410 | 1997 |
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 | 392 | 2015 |
Adaptive Bayesian logic programs K Kersting, L De Raedt International Conference on Inductive Logic Programming, 104-117, 2001 | 384 | 2001 |
Statistical relational artificial intelligence: Logic, probability, and computation LD Raedt, K Kersting, S Natarajan, D Poole Synthesis lectures on artificial intelligence and machine learning 10 (2), 1-189, 2016 | 366 | 2016 |
Expressivity versus efficiency of graph kernels J Ramon, T Gärtner Proceedings of the first international workshop on mining graphs, trees and …, 2003 | 348 | 2003 |
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 | 343 | 2004 |
Mining association rules in multiple relations L Dehaspe, L De Raedt Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 1997 | 327 | 1997 |
Molecular feature mining in HIV data S Kramer, L De Raedt, C Helma Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 293 | 2001 |
Interactive theory revision: an inductive logic programming approach L De Raedt Academic Press Ltd., 1992 | 293 | 1992 |
Multi instance neural networks J Ramon, L De Raedt Proceedings of the ICML-2000 workshop on attribute-value and relational …, 2000 | 283 | 2000 |
Probabilistic (logic) programming concepts L De Raedt, A Kimmig Machine Learning 100, 5-47, 2015 | 264 | 2015 |
Itemset mining: A constraint programming perspective T Guns, S Nijssen, L De Raedt Artificial Intelligence 175 (12-13), 1951-1983, 2011 | 242 | 2011 |