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
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
Niels LandwehrProfessor, University of HildesheimVerified email at uni-hildesheim.de
Robin ManhaeveDTAI, KU LeuvenVerified email at cs.kuleuven.be
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
Wannes MeertDTAI, KU LeuvenVerified email at cs.kuleuven.be
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
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
Daan FierensDepartment of Computer Science, KULeuvenVerified email at cs.kuleuven.be
Stefano TesoSenior Assistant Professor, University of TrentoVerified email at unitn.it
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	2347	1994
Top-down induction of first-order logical decision trees H Blockeel, L De Raedt Artificial intelligence 101 (1-2), 285-297, 1998	1071	1998
Problog: A probabilistic prolog and its application in link discovery. L De Raedt, A Kimmig, H Toivonen IJCAI 7, 2462-2467, 2007	1064	2007
Logical and relational learning L De Raedt Springer Science & Business Media, 2008	681	2008
Top-down induction of clustering trees H Blockeel, L De Raedt, J Ramon arXiv preprint cs/0011032, 2000	663	2000
Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43, 7-52, 2001	622	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	586	2018
Probabilistic inductive logic programming L De Raedt, K Kersting Probabilistic inductive logic programming: theory and applications, 1-27, 2008	512*	2008
Clausal discovery L De Raedt, L Dehaspe Machine Learning 26, 99-146, 1997	408	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	393	2015
Adaptive Bayesian logic programs K Kersting, L De Raedt International Conference on Inductive Logic Programming, 104-117, 2001	382	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	369	2016
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	345	2004
Expressivity versus efficiency of graph kernels J Ramon, T Gärtner First international workshop on mining graphs, trees and sequences, 65-74, 2003	344	2003
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	292	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	288	2001
Multi instance neural networks J Ramon ML-2000 Workshop Attribute-Value and Relational Learning, 2000	285	2000
Probabilistic (logic) programming concepts L De Raedt, A Kimmig Machine Learning 100, 5-47, 2015	260	2015
Itemset mining: A constraint programming perspective T Guns, S Nijssen, L De Raedt Artificial Intelligence 175 (12-13), 1951-1983, 2011	239	2011

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