| Artificial intelligence: a modern approach SJ Russell, P Norvig Prentice hall, 2010 | 37545* | 2010 |
| Artificial intelligence: a modern approach S Russel, P Norvig Pearson Education Limited, 2013 | 7125 | 2013 |
| Distance metric learning with application to clustering with side-information EP Xing, AY Ng, MI Jordan, S Russell NIPS 15 (505–512), 12, 2002 | 3447 | 2002 |
| Dynamic bayesian networks: representation, inference and learning KP Murphy University of California, Berkeley, 2002 | 3407 | 2002 |
| On intelligence J Hawkins, S Blakeslee Macmillan, 2004 | 2469 | 2004 |
| Algorithms for inverse reinforcement learning. AY Ng, SJ Russell Icml 1, 2, 2000 | 2224 | 2000 |
| Inteligência artificial SJ Russell, P Norvig Elsevier, 2004 | 2018* | 2004 |
| Rao-Blackwellised particle filtering for dynamic Bayesian networks K Murphy, S Russell Sequential Monte Carlo methods in practice, 499-515, 2001 | 1755 | 2001 |
| Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007 | 1730 | 2007 |
| Policy invariance under reward transformations: Theory and application to reward shaping AY Ng, D Harada, S Russell Icml 99, 278-287, 1999 | 1438 | 1999 |
| Image segmentation in video sequences: A probabilistic approach N Friedman, S Russell arXiv preprint arXiv:1302.1539, 2013 | 1407 | 2013 |
| Online bagging and boosting NC Oza 2005 IEEE international conference on systems, man and cybernetics 3, 2340-2345, 2005 | 950 | 2005 |
| Learning the structure of dynamic probabilistic networks N Friedman, K Murphy, S Russell arXiv preprint arXiv:1301.7374, 2013 | 834 | 2013 |
| Reinforcement learning with hierarchies of machines R Parr, S Russell Advances in neural information processing systems, 1043-1049, 1998 | 814 | 1998 |
| Artificial intelligence: a modern approach R Stuart, N Peter Prentice Hall, 2003 | 726 | 2003 |
| Towards robust automatic traffic scene analysis in real-time D Koller, J Weber, T Huang, J Malik, G Ogasawara, B Rao, S Russell Proceedings of 12th International Conference on Pattern Recognition 1, 126-131, 1994 | 722 | 1994 |
| Bayesian networks J Pearl | 591 | 2011 |
| 1 blog: Probabilistic models with unknown objects B Milch, B Marthi, S Russell, D Sontag, DL Ong, A Kolobov Statistical relational learning, 373, 2007 | 566 | 2007 |
| Adaptive probabilistic networks with hidden variables J Binder, D Koller, S Russell, K Kanazawa Machine Learning 29 (2), 213-244, 1997 | 553 | 1997 |
| Speech and language processing C Parsing | 507 | 2009 |
