‪Artificial Intelligence and Machine Learning Research Group‬

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	All	Since 2019
Citations	36258	12876
h-index	94	52
i10-index	544	299

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Hector GeffnerRWTH Aachen UniversityVerified email at upf.edu
Jorge LoboICREA - Universitat Pompeu FabraVerified email at upf.edu
Vladimir Estivill-CastroProfessor of Computer ScienceVerified email at upf.edu
Blai Bonet (ORCID: 0000-0001-8212-...Universitat Pompeu Fabra, Universidad Simón Bolívar, Caracas, VenezuelaVerified email at usb.ve
Anders JonssonArtificial Intelligence and Machine Learning group, Universitat Pompeu FabraVerified email at upf.edu
Vicenç GómezArtificial Intelligence and Machine Learning research group. Universitat Pompeu Fabra.Verified email at upf.edu
Victor DalmauDepartment of Information and Communication Technologies, Universitat Pompeu FabraVerified email at upf.edu
Gergely NeuArtificial Intelligence and Machine Learning group, Universitat Pompeu FabraVerified email at upf.edu
Pablo AragónWikimedia Foundation | Universitat Pompeu FabraVerified email at upf.edu
Javier Segovia-AguasUniversitat Pompeu FabraVerified email at upf.edu
Jonathan Ferrer-MestresResilient Supply Chains and Logistics, Environment, CSIROVerified email at csiro.au
Matteo PapiniPolitecnico di MilanoVerified email at polimi.it
LORENZO STECCANELLAPhD Universitat Pompeu FabraVerified email at upf.edu
Miquel JunyentUniversitat Pompeu FabraVerified email at upf.edu
Silvia ButtiSenior Research Associate, University of OxfordVerified email at cs.ox.ac.uk
Guillermo Infante MolinaUniversitat Pompeu FabraVerified email at upf.edu
Marti Sanchez-FiblaUniversity Pompeu Fabra (UPF)Verified email at upf.edu
Vincent AdamPompeu Fabra UniversityVerified email at gatsby.ucl.ac.uk

Artificial Intelligence and Machine Learning Research Group

Department of Information and Communication Technologies, Universitat Pompeu Fabra

Verified email at upf.edu - Homepage

Artificial Intelligence Machine Learning Planning Reinforcement learning Autonomous robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Planning as heuristic search B Bonet, H Geffner Artificial Intelligence 129 (1-2), 5-33, 2001	1527	2001
Why so many clustering algorithms: a position paper V Estivill-Castro ACM SIGKDD explorations newsletter 4 (1), 65-75, 2002	1037	2002
Privacy-aware role-based access control Q Ni, E Bertino, J Lobo, C Brodie, CM Karat, J Karat, A Trombeta ACM Transactions on Information and System Security (TISSEC) 13 (3), 1-31, 2010	495	2010
Foundations of disjunctive logic programming J Lobo, J Minker, A Rajasekar MIT press, 1992	492	1992
Planning with incomplete information as heuristic search in belief space B Bonet, H Geffner Proceedings of the Fifth International Conference on Artificial Intelligence …, 2000	470	2000
Labeled RTDP: Improving the Convergence of Real-Time Dynamic Programming. B Bonet, H Geffner ICAPS 3, 12-21, 2003	458	2003
A policy description language J Lobo, R Bhatia, S Naqvi AAAI/IAAI 1999, 291-298, 1999	415	1999
A concise introduction to models and methods for automated planning H Geffner, B Bonet Synthesis Lectures on Artificial Intelligence and Machine Learning 8 (1), 1-141, 2013	412*	2013
Plan recognition as planning M Ramırez, H Geffner Proceedings of the 21st international joint conference on Artifical …, 2009	411	2009
Probabilistic plan recognition using off-the-shelf classical planners M Ramırez, H Geffner Proceedings of the Conference of the Association for the Advancement of …, 2010	406	2010
Optimal control as a graphical model inference problem HJ Kappen, V Gómez, M Opper Machine learning 87 (2), 159-182, 2012	404	2012
Statistical analysis of the social network and discussion threads in slashdot V Gómez, A Kaltenbrunner, V López Proceedings of the 17th international conference on World Wide Web, 645-654, 2008	388	2008
Planning as heuristic search: New results B Bonet, H Geffner Lecture notes in computer science 1809, 360-372, 2000	388	2000
A robust and fast action selection mechanism for planning B Bonet, G Loerincs, H Geffner AAAI/IAAI, 714-719, 1997	342	1997
Apprenticeship learning using inverse reinforcement learning and gradient methods G Neu, C Szepesvári arXiv preprint arXiv:1206.5264, 2012	317	2012
Branching and pruning: An optimal temporal POCL planner based on constraint programming V Vidal, H Geffner Artificial Intelligence 170 (3), 298-335, 2006	284	2006
Conditional entailment: Bridging two approaches to default reasoning H Geffner, J Pearl Artificial Intelligence 53 (2-3), 209-244, 1992	266	1992
Constraint satisfaction, bounded treewidth, and finite-variable logics V Dalmau, P Kolaitis, M Vardi Principles and Practice of Constraint Programming-CP 2002, 223-254, 2006	261	2006
Communication dynamics in twitter during political campaigns: The case of the 2011 Spanish national election P Aragón, KE Kappler, A Kaltenbrunner, D Laniado, Y Volkovich Policy & Internet 5 (2), 183-206, 2013	260	2013
A unified view of entropy-regularized Markov decision processes G Neu, A Jonsson, V Gómez arXiv preprint arXiv:1705.07798, 2017	254	2017

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