Luc De Raedt

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Angelika KimmigKU LeuvenEmail confirmado em cs.kuleuven.be
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISEmail confirmado em cs.tu-darmstadt.de
Siegfried NijssenICTEAM, EPL, Université catholique de Louvain; Universiteit LeidenEmail confirmado em uclouvain.be
Maurice BruynoogheProfessor Em. of Computer Science, KULeuvenEmail confirmado em cs.kuleuven.be
Hendrik BlockeelDepartment of Computer Science, KU LeuvenEmail confirmado em cs.kuleuven.be
Guy Van den BroeckProfessor and Samueli Fellow, UCLAEmail confirmado em cs.ucla.edu
Stephen MuggletonImperial College LondonEmail confirmado em imperial.ac.uk
Paolo FrasconiProfessor of Computer Science, Università di FirenzeEmail confirmado em dsi.unifi.it
Anton DriesNokia Bell LabsEmail confirmado em nokia-bell-labs.com
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesEmail confirmado em ijs.si
Robin ManhaeveDTAI, KU LeuvenEmail confirmado em cs.kuleuven.be
Niels LandwehrProfessor, University of HildesheimEmail confirmado em uni-hildesheim.de
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzEmail confirmado em informatik.uni-mainz.de
Wannes MeertDTAI, KU LeuvenEmail confirmado em cs.kuleuven.be
Jesse DavisProfessor, Department of Computer Science, KU LeuvenEmail confirmado em cs.kuleuven.be
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiEmail confirmado em helsinki.fi
David PooleProfessor of Computer Science, University of British ColumbiaEmail confirmado em cs.ubc.ca
Laura AntanasKULEmail confirmado em cs.kuleuven.be
Matthijs van LeeuwenAssociate Professor, Leiden UniversityEmail confirmado em liacs.leidenuniv.nl
Daan FierensDepartment of Computer Science, KULeuvenEmail confirmado em cs.kuleuven.be

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Luc De Raedt

professor, KU Leuven & guestprofessor, Örebro University

Email confirmado em cs.kuleuven.be - Página inicial

artificial intelligence machine learning statistical relational AI probabilistic programming neurosymbolic ai


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Inductive logic programming: Theory and methods S Muggleton, L De Raedt The Journal of Logic Programming 19, 629-679, 1994	2418	1994
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	1154	2007
Top-down induction of first-order logical decision trees H Blockeel, L De Raedt Artificial intelligence 101 (1-2), 285-297, 1998	1101	1998
Deepproblog: Neural probabilistic logic programming R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt Advances in neural information processing systems 31, 2018	694	2018
Logical and relational learning L De Raedt Springer Science & Business Media, 2008	694	2008
Top-down induction of clustering trees H Blockeel, L De Raedt, J Ramon arXiv preprint cs/0011032, 2000	691	2000
Probabilistic inductive logic programming L De Raedt, K Kersting Probabilistic inductive logic programming: theory and applications, 1-27, 2008	575*	2008
Relational reinforcement learning S Dzeroski, L De Raedt, K Driessens CW Reports, 2001	448	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	427	2015
Clausal discovery L De Raedt, L Dehaspe Machine Learning 26, 99-146, 1997	417	1997
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	399	2016
Adaptive Bayesian logic programs K Kersting, L De Raedt International Conference on Inductive Logic Programming, 104-117, 2001	392	2001
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	358	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	356	2003
Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43, 7-52, 2001	336	2001
Mining association rules in multiple relations L Dehaspe, L De Raedt Inductive Logic Programming: 7th International Workshop, ILP-97 Prague …, 1997	333	1997
Multi instance neural networks J Ramon, L De Raedt Proceedings of the ICML-2000 workshop on attribute-value and relational …, 2000	297	2000
Probabilistic (logic) programming concepts L De Raedt, A Kimmig Machine Learning 100, 5-47, 2015	294	2015
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	291	2001

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