| Planning as heuristic search B Bonet, H Geffner Artificial Intelligence 129 (1-2), 5-33, 2001 | 1445 | 2001 |
| Why so many clustering algorithms: a position paper V Estivill-Castro ACM SIGKDD explorations newsletter 4 (1), 65-75, 2002 | 972 | 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 | 482 | 2010 |
| Foundations of disjunctive logic programming J Lobo, J Minker, A Rajasekar MIT press, 1992 | 481 | 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 | 465 | 2000 |
| Labeled RTDP: Improving the Convergence of Real-Time Dynamic Programming. B Bonet, H Geffner ICAPS 3, 12-21, 2003 | 442 | 2003 |
| A policy description language J Lobo, R Bhatia, S Naqvi AAAI/IAAI 1999, 291-298, 1999 | 409 | 1999 |
| Planning as heuristic search: New results B Bonet, H Geffner Lecture notes in computer science 1809, 360-372, 2000 | 382 | 2000 |
| Plan recognition as planning M Ramırez, H Geffner Proceedings of the 21st international joint conference on Artifical …, 2009 | 378 | 2009 |
| 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 | 378 | 2008 |
| 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 | 370 | 2010 |
| 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 | 354 | 2013 |
| Optimal control as a graphical model inference problem HJ Kappen, V Gómez, M Opper Machine learning 87 (2), 159-182, 2012 | 353 | 2012 |
| A robust and fast action selection mechanism for planning B Bonet, G Loerincs, H Geffner AAAI/IAAI, 714-719, 1997 | 347 | 1997 |
| Apprenticeship learning using inverse reinforcement learning and gradient methods G Neu, C Szepesvári arXiv preprint arXiv:1206.5264, 2012 | 300 | 2012 |
| Branching and pruning: An optimal temporal POCL planner based on constraint programming V Vidal, H Geffner Artificial Intelligence 170 (3), 298-335, 2006 | 278 | 2006 |
| Conditional entailment: Bridging two approaches to default reasoning H Geffner, J Pearl Artificial Intelligence 53 (2-3), 209-244, 1992 | 261 | 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 | 246 | 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 | 238 | 2013 |
| Heuristic planning with time and resources P Haslum, H Geffner Sixth European Conference on Planning, 2014 | 235* | 2014 |
Hector GeffnerRWTH Aachen UniversityVerified email at upf.edu
