Luc De Raedt

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Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Angelika KimmigKU LeuvenVerified email at cs.kuleuven.be
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
Anton DriesNokia Bell LabsVerified email at nokia-bell-labs.com
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
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
David PooleProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Laura AntanasKULVerified email at cs.kuleuven.be
Daan FierensDepartment of Computer Science, KULeuvenVerified 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	2233	1994
Top-down induction of first-order logical decision trees H Blockeel, L De Raedt Artificial intelligence 101 (1-2), 285-297, 1998	1040	1998
Problog: A probabilistic prolog and its application in link discovery. L De Raedt, A Kimmig, H Toivonen IJCAI 7, 2462-2467, 2007	951	2007
Logical and relational learning L De Raedt Springer Science & Business Media, 2008	644	2008
Top-down induction of clustering trees H Blockeel, L De Raedt, J Ramon arXiv preprint cs/0011032, 2000	625	2000
Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43, 7-52, 2001	595	2001
Probabilistic inductive logic programming L De Raedt, K Kersting Probabilistic inductive logic programming: theory and applications, 1-27, 2008	481*	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	413	2018
Clausal discovery L De Raedt, L Dehaspe Machine Learning 26, 99-146, 1997	399	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	353	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	329	2004
Mining association rules in multiple relations L Dehaspe, L De Raedt Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 1997	327	1997
Bayesian logic programs K Kersting, L De Raedt arXiv preprint cs/0111058, 2001	326	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	313	2016
Interactive theory revision: An inductive logic programming approach L De Raedt Academic Press Ltd., 1992	300	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	290	2001
Multi instance neural networks J Ramon, L De Raedt Proceedings of the ICML-2000 workshop on attribute-value and relational …, 2000	260	2000
First-order jk-clausal theories are PAC-learnable L De Raedt, S Džeroski Artificial Intelligence 70 (1-2), 375-392, 1994	232	1994
Itemset mining: A constraint programming perspective T Guns, S Nijssen, L De Raedt Artificial Intelligence 175 (12-13), 1951-1983, 2011	231	2011
Logical settings for concept-learning L De Raedt Artificial Intelligence 95 (1), 187-201, 1997	225	1997

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