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
Niels LandwehrProfessor, University of HildesheimVerified email at uni-hildesheim.de
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.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
Laura AntanasKULVerified email at cs.kuleuven.be
Matthijs van LeeuwenAssociate Professor, Leiden UniversityVerified email at liacs.leidenuniv.nl

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	2289	1994
Top-down induction of first-order logical decision trees H Blockeel, L De Raedt Artificial intelligence 101 (1-2), 285-297, 1998	1065	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	1003	2007
Logical and relational learning L De Raedt Springer Science & Business Media, 2008	659	2008
Top-down induction of clustering trees H Blockeel, L De Raedt, J Ramon arXiv preprint cs/0011032, 2000	635	2000
Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43, 7-52, 2001	612	2001
Probabilistic inductive logic programming L De Raedt, K Kersting Probabilistic inductive logic programming: theory and applications, 1-27, 2008	496*	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	485	2018
Clausal discovery L De Raedt, L Dehaspe Machine Learning 26, 99-146, 1997	406	1997
Adaptive Bayesian logic programs K Kersting, L De Raedt International Conference on Inductive Logic Programming, 104-117, 2001	384	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	371	2015
Expressivity versus efficiency of graph kernels J Ramon, T Gärtner Proceedings of the first international workshop on mining graphs, trees and …, 2003	342	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	336	2004
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	332	2016
Mining association rules in multiple relations L Dehaspe, L De Raedt Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 1997	329	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	294	2001
Interactive theory revision: An inductive logic programming approach L De Raedt Academic Press Ltd., 1992	294	1992
Multi instance neural networks J Ramon, L De Raedt Proceedings of the ICML-2000 workshop on attribute-value and relational …, 2000	265	2000
Probabilistic (logic) programming concepts L De Raedt, A Kimmig Machine Learning 100, 5-47, 2015	237	2015
Itemset mining: A constraint programming perspective T Guns, S Nijssen, L De Raedt Artificial Intelligence 175 (12-13), 1951-1983, 2011	236	2011

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