Daan Fierens

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Hendrik BlockeelDepartment of Computer Science, KU LeuvenCorreu electrònic verificat a cs.kuleuven.be
Maurice BruynoogheProfessor Em. of Computer Science, KULeuvenCorreu electrònic verificat a cs.kuleuven.be
Guy Van den BroeckProfessor and Samueli Fellow, UCLACorreu electrònic verificat a cs.ucla.edu
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityCorreu electrònic verificat a cs.kuleuven.be
Jesse DavisProfessor, Department of Computer Science, KU LeuvenCorreu electrònic verificat a cs.kuleuven.be
Nima TaghipourPostdoctoral Researcher, KU LeuvenCorreu electrònic verificat a cs.kuleuven.be
Gerda JanssensProfessor of the Department of Computer Science, KULeuvenCorreu electrònic verificat a cs.kuleuven.be
Wannes MeertDTAI, KU LeuvenCorreu electrònic verificat a cs.kuleuven.be
Joost VennekensDept. Computer Science, KU LeuvenCorreu electrònic verificat a cs.kuleuven.be
Niels LandwehrProfessor, University of HildesheimCorreu electrònic verificat a uni-hildesheim.de
Angelika KimmigKU LeuvenCorreu electrònic verificat a cs.kuleuven.be
Vinicius TraganteScientific Researcher at deCODE geneticsCorreu electrònic verificat a decode.is
Celine Vensprofessor, Katholieke Universiteit LeuvenCorreu electrònic verificat a kuleuven.be
bart demoenProfessor of Computer Science, KU LeuvenCorreu electrònic verificat a cs.kuleuven.be
Ricardo RochaComputer Science Department, University of PortoCorreu electrònic verificat a dcc.fc.up.pt
Tom CroonenborghsKU LeuvenCorreu electrònic verificat a khk.be
Gitte VanwinckelenKU Leuven, BelgiumCorreu electrònic verificat a cs.kuleuven.be
Jonas VlasselaerAI Expert at DeltaRayCorreu electrònic verificat a deltaray.eu
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISCorreu electrònic verificat a cs.tu-darmstadt.de
Hossein RahmaniIran Univesity of Science and Technology (IUST)Correu electrònic verificat a iust.ac.ir

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Daan Fierens

Department of Computer Science, KULeuven

Correu electrònic verificat a cs.kuleuven.be

Artificial Intelligence Machine Learning Probabilistic Models Statistical Relational Learning


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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
Mining data from intensive care patients J Ramon, D Fierens, F Güiza, G Meyfroidt, H Blockeel, M Bruynooghe, ... Advanced Engineering Informatics 21 (3), 243-256, 2007	122	2007
Inference in probabilistic logic programs using weighted CNF's D Fierens, GV Broeck, I Thon, B Gutmann, L De Raedt arXiv preprint arXiv:1202.3719, 2012	114	2012
Lifted variable elimination: Decoupling the operators from the constraint language N Taghipour, D Fierens, J Davis, H Blockeel Journal of Artificial Intelligence Research 47, 393-439, 2013	85	2013
Logical Bayesian networks and their relation to other probabilistic logical models D Fierens, H Blockeel, M Bruynooghe, J Ramon Inductive Logic Programming: 15th International Conference, ILP 2005, Bonn …, 2005	85	2005
Towards digesting the alphabet-soup of statistical relational learning L De Raedt, B Demoen, D Fierens, B Gutmann, G Janssens, A Kimmig, ... NIPS* 2008 Workshop Probabilistic Programming, Date: 2008/12/13-2008/12/13 …, 2008	63	2008
Instance-level accuracy versus bag-level accuracy in multi-instance learning G Vanwinckelen, V Tragante Do O, D Fierens, H Blockeel Data mining and knowledge discovery 30, 313-341, 2016	40	2016
Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, and Luc De Raedt. Inference and learning in probabilistic logic programs using weighted boolean formulas D Fierens, G Van den Broeck, J Renkens, D Sht Theory Pract. Log. Program 15 (3), 358-401, 2015	37	2015
Completeness results for lifted variable elimination N Taghipour, D Fierens, G Van den Broeck, J Davis, H Blockeel Artificial Intelligence and Statistics, 572-580, 2013	35	2013
Lifted variable elimination with arbitrary constraints N Taghipour, D Fierens, J Davis, H Blockeel Artificial Intelligence and Statistics, 1194-1202, 2012	30	2012
Constraints for probabilistic logic programming D Fierens, G Van den Broeck, M Bruynooghe, L De Raedt Proceedings of the NIPS probabilistic programming workshop, 1-4, 2012	26	2012
A comparison of approaches for learning probability trees D Fierens, J Ramon, H Blockeel, M Bruynooghe Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005	21	2005
The ACE data mining system, user’s manual H Blockeel, L Dehaspe, J Ramon, J Struyf, A Van Assche, C Vens, ... Katholieke Universiteit Leuven, Belgium, 2006	19	2006
Logical bayesian networks D Fierens, H Blockeel, J Ramon, M Bruynooghe Proceedings of the 3rd international workshop on multi-relational data …, 2004	19	2004
ProbLog2: From probabilistic programming to statistical relational learning J Renkens, D Shterionov, G Van den Broeck, J Vlasselaer, D Fierens, ... Proceedings of the NIPS Probabilistic Programming Workshop, 2012	18	2012
Generalized ordering-search for learning directed probabilistic logical models J Ramon, T Croonenborghs, D Fierens, H Blockeel, M Bruynooghe Machine Learning 70, 169-188, 2008	18	2008
A comparison of pruning criteria for probability trees D Fierens, J Ramon, H Blockeel, M Bruynooghe Machine Learning 78, 251-285, 2010	17	2010
Three complementary approaches to context aware movie recommendation H Rahmani, B Piccart, D Fierens, H Blockeel Proceedings of the Workshop on Context-Aware Movie Recommendation, 57-60, 2010	15	2010
Learning directed probabilistic logical models: Ordering-search versus structure-search D Fierens, J Ramon, M Bruynooghe, H Blockeel Machine Learning: ECML 2007: 18th European Conference on Machine Learning …, 2007	11	2007
Instance-level accuracy versus bag-level accuracy in multi-instance learning V Tragante do O, D Fierens, H Blockeel Proceedings of the 23rd Benelux conference on artificial intelligence (BNAIC), 8, 2011	10	2011

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