Luc De Raedt

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Angelika KimmigKU LeuvenVerified email at cs.kuleuven.be
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Siegfried NijssenICTEAM, EPL, Université catholique de Louvain; Universiteit LeidenVerified email at uclouvain.be
Maurice BruynoogheProfessor Em. of Computer Science, KULeuvenVerified email at cs.kuleuven.be
Hendrik BlockeelDepartment of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Guy Van den BroeckAssociate Professor and Samueli Fellow, UCLAVerified email at cs.ucla.edu
Tias GunsVUBVerified email at vub.ac.be
Stephen MuggletonImperial College LondonVerified email at imperial.ac.uk
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
Anton DriesNokia Bell LabsVerified email at nokia-bell-labs.com
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
Niels LandwehrProfessor, University of HildesheimVerified email at uni-hildesheim.de
Wannes MeertDTAI, KU LeuvenVerified email at cs.kuleuven.be
Robin ManhaeveDTAI, KU LeuvenVerified email at cs.kuleuven.be
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
David PooleProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Matthijs van LeeuwenAssociate Professor, Leiden UniversityVerified email at liacs.leidenuniv.nl
Laura AntanasKULVerified email at cs.kuleuven.be

Luc De Raedt

professor, KU Leuven & guestprofessor, Örebro University

Verified email at cs.kuleuven.be - Homepage

artificial intelligence machine learning statistical relational AI probabilistic programming neurosymbolic ai


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Inductive logic programming: Theory and methods S Muggleton, L De Raedt The Journal of Logic Programming 19, 629-679, 1994	2264	1994
Top-down induction of first-order logical decision trees H Blockeel, L De Raedt Artificial intelligence 101 (1-2), 285-297, 1998	1057	1998
ProbLog: A probabilistic Prolog and its application in link discovery L De Raedt, A Kimmig, H Toivonen, M Veloso IJCAI 2007, Proceedings of the 20th international joint conference on …, 2007	989	2007
Logical and relational learning L De Raedt Springer Science & Business Media, 2008	655	2008
Top-down induction of clustering trees H Blockeel, L De Raedt, J Ramon arXiv preprint cs/0011032, 2000	627	2000
Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43, 7-52, 2001	607	2001
Probabilistic inductive logic programming L De Raedt, K Kersting Probabilistic inductive logic programming: theory and applications, 1-27, 2008	493*	2008
Deepproblog: Neural probabilistic logic programming R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt Advances in neural information processing systems 31, 2018	464	2018
Clausal discovery L De Raedt, L Dehaspe Machine Learning 26, 99-146, 1997	405	1997
Adaptive Bayesian logic programs K Kersting, L De Raedt International Conference on Inductive Logic Programming, 104-117, 2001	383	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	364	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	336	2004
Expressivity versus efficiency of graph kernels J Ramon, T Gärtner, T Washio, L De Raedt Proceedings of the first international workshop on mining graphs, trees and …, 2003	336	2003
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	328	2016
Mining association rules in multiple relations L Dehaspe, L De Raedt Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 1997	328	1997
Interactive theory revision: An inductive logic programming approach L De Raedt Academic Press Ltd., 1992	294	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	293	2001
Multi instance neural networks J Ramon, L De Raedt, S Kramer Proceedings of the ICML-2000 workshop on attribute-value and relational …, 2000	262	2000
Itemset mining: A constraint programming perspective T Guns, S Nijssen, L De Raedt Artificial Intelligence 175 (12-13), 1951-1983, 2011	235	2011
Logical settings for concept-learning L De Raedt Artificial Intelligence 95 (1), 187-201, 1997	235	1997

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