| Credal networks FG Cozman Artificial intelligence 120 (2), 199-233, 2000 | 373 | 2000 |
| Semi-supervised learning of mixture models FG Cozman, I Cohen, MC Cirelo Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003 | 295 | 2003 |
| Semisupervised learning of classifiers: Theory, algorithms, and their application to human-computer interaction I Cohen, FG Cozman, N Sebe, MC Cirelo, TS Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (12), 1553 …, 2004 | 290 | 2004 |
| Unlabeled Data Can Degrade Classification Performance of Generative Classifiers. FG Cozman, I Cohen, M Cirelo Flairs conference, 327-331, 2002 | 178 | 2002 |
| Depth from scattering F Cozman, E Krotkov cvpr 31, 801-806, 1997 | 161 | 1997 |
| Generalizing variable elimination in Bayesian networks FG Cozman Workshop on probabilistic reasoning in artificial intelligence, 27-32, 2000 | 133 | 2000 |
| Graphical models for imprecise probabilities FG Cozman International Journal of Approximate Reasoning 39 (2-3), 167-184, 2005 | 124 | 2005 |
| Experience with rover navigation for lunar-like terrains R Simmons, E Krotkov, L Chrisman, F Cozman, R Goodwin, M Hebert, ... Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and …, 1995 | 116 | 1995 |
| Random generation of Bayesian networks JS Ide, FG Cozman Brazilian symposium on artificial intelligence, 366-376, 2002 | 102 | 2002 |
| The inferential complexity of Bayesian and credal networks CP De Campos, FG Cozman IJCAI 5, 1313-1318, 2005 | 85 | 2005 |
| Robot localization using a computer vision sextant F Cozman, E Krotkov Proceedings of 1995 IEEE International Conference on Robotics and Automation …, 1995 | 71 | 1995 |
| Efficient solutions to factored MDPs with imprecise transition probabilities KV Delgado, S Sanner, LN De Barros Artificial Intelligence 175 (9-10), 1498-1527, 2011 | 70 | 2011 |
| Generating random Bayesian networks with constraints on induced width JS Ide, FG Cozman, FT Ramos ECAI 16, 323, 2004 | 66 | 2004 |
| Automatic mountain detection and pose estimation for teleoperation of lunar rovers F Cozman, E Krotkov Experimental Robotics V, 207-215, 1998 | 63 | 1998 |
| Outdoor visual position estimation for planetary rovers F Cozman, E Krotkov, C Guestrin Autonomous Robots 9 (2), 135-150, 2000 | 62 | 2000 |
| Safeguarded teleoperation for lunar rovers: From human factors to field trials E Krotkov, R Simmons, F Cozman, S Koenig IEEE Planetary Rover Technology and Systems Workshop 21, 1996 | 62 | 1996 |
| Robustness analysis of Bayesian networks with local convex sets of distributions F Cozman Proceedings of the Thirteenth conference on Uncertainty in artificial …, 1997 | 61 | 1997 |
| Inference in credal networks using multilinear programming CP de Campos, FG Cozman Proceedings of the Second Starting AI Researcher Symposium, 50-61, 2004 | 54 | 2004 |
| Risks of semi-supervised learning F Cozman, I Cohen Semi-supervised learning, 56-72, 2006 | 53 | 2006 |
| Planning under Risk and Knightian Uncertainty. FW Trevizan, FG Cozman, LN de Barros IJCAI 2007, 2023-2028, 2007 | 51 | 2007 |
