| Adaptive concept drift detection A Dries, U Rückert Statistical Analysis and Data Mining: The ASA Data Science Journal 2 (5‐6 …, 2009 | 279 | 2009 |
| Inducing probabilistic relational rules from probabilistic examples L De Raedt, A Dries, I Thon, G Van den Broeck, M Verbeke Proceedings of 24th international joint conference on artificial …, 2015 | 101 | 2015 |
| Problog2: Probabilistic logic programming A Dries, A Kimmig, W Meert, J Renkens, G Van den Broeck, J Vlasselaer, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 80 | 2015 |
| Exact and approximate weighted model integration with probability density functions using knowledge compilation PZ Dos Martires, A Dries, L De Raedt Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7825-7833, 2019 | 63 | 2019 |
| A query language for analyzing networks A Dries, S Nijssen, L De Raedt Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 60 | 2009 |
| Miningzinc: A declarative framework for constraint-based mining T Guns, A Dries, S Nijssen, G Tack, L De Raedt Artificial Intelligence 244, 6-29, 2017 | 53 | 2017 |
| Miningzinc: A modeling language for constraint-based mining T Guns, A Dries, G Tack, S Nijssen, L De Raedt Proceedings of the Twenty-Third international joint conference on Artificial …, 2013 | 50 | 2013 |
| Dominance programming for itemset mining B Negrevergne, A Dries, T Guns, S Nijssen 2013 IEEE 13th International Conference on Data Mining, 557-566, 2013 | 48 | 2013 |
| Solving probability problems in natural language A Dries, A Kimmig, J Davis, V Belle, L De Raedt Proceedings Twenty-Sixth International Joint Conference on Artificial …, 2017 | 29 | 2017 |
| Combining stochastic constraint optimization and probabilistic programming: from knowledge compilation to constraint solving ALD Latour, B Babaki, A Dries, A Kimmig, G Van den Broeck, S Nijssen Principles and Practice of Constraint Programming: 23rd International …, 2017 | 26 | 2017 |
| Mining patterns in networks using homomorphism A Dries, S Nijssen Proceedings of the 2012 SIAM International Conference on Data Mining, 260-271, 2012 | 18 | 2012 |
| Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs. J Vlasselaer, A Kimmig, A Dries, W Meert, L De Raedt AAAI Workshop: Beyond NP 101, 2016 | 15 | 2016 |
| Mining predictive k-CNF expressions A Dries, L De Raedt, S Nijssen IEEE transactions on knowledge and data engineering 22 (5), 743-748, 2009 | 15 | 2009 |
| Learning constraint satisfaction problems: An ILP perspective L De Raedt, A Dries, T Guns, C Bessiere Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary …, 2016 | 13 | 2016 |
| Learning constraints through partial queries C Bessiere, C Carbonnel, A Dries, E Hebrard, G Katsirelos, N Narodytska, ... Artificial Intelligence 319, 103896, 2023 | 12 | 2023 |
| Predictive spreadsheet autocompletion with constraints S Kolb, S Teso, A Dries, L De Raedt Machine Learning 109, 307-325, 2020 | 11 | 2020 |
| Towards clausal discovery for stream mining A Dries, L De Raedt Inductive Logic Programming: 19th International Conference, ILP 2009, Leuven …, 2010 | 11 | 2010 |
| Knowledge compilation with continuous random variables and its application in hybrid probabilistic logic programming PZ Dos Martires, A Dries, L De Raedt StarAI@ IJCAI, 2018 | 10* | 2018 |
| Declarative data generation with problog A Dries Proceedings of the 6th International Symposium on Information and …, 2015 | 10 | 2015 |
| BiQL: a query language for analyzing information networks A Dries, S Nijssen, L De Raedt Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms …, 2012 | 10 | 2012 |
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityE-mail megerősítve itt: cs.kuleuven.be
