Credal networks FG Cozman Artificial intelligence 120 (2), 199-233, 2000 | 637 | 2000 |
Semi-supervised learning of mixture models FG Cozman, I Cohen, MC Cirelo ICML 4, 24, 2003 | 385 | 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 | 343 | 2004 |
Depth from scattering F Cozman, E Krotkov Proceedings of IEEE computer society conference on computer vision and …, 1997 | 257 | 1997 |
Unlabeled Data Can Degrade Classification Performance of Generative Classifiers. FG Cozman, I Cohen, M Cirelo FLAIRS, 327-331, 2002 | 233 | 2002 |
Graphical models for imprecise probabilities FG Cozman International Journal of Approximate Reasoning 39 (2-3), 167-184, 2005 | 149 | 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 | 129 | 1995 |
Random generation of Bayesian networks JS Ide, FG Cozman Brazilian symposium on artificial intelligence, 366-376, 2002 | 128 | 2002 |
Efficient solutions to factored MDPs with imprecise transition probabilities KV Delgado, S Sanner, LN De Barros Artificial Intelligence 175 (9-10), 1498-1527, 2011 | 108 | 2011 |
The inferential complexity of Bayesian and credal networks CP De Campos, FG Cozman IJCAI 5, 1313-1318, 2005 | 104 | 2005 |
Outdoor visual position estimation for planetary rovers F Cozman, E Krotkov, C Guestrin Autonomous Robots 9, 135-150, 2000 | 88 | 2000 |
Robot localization using a computer vision sextant F Cozman, E Krotkov Proceedings of 1995 IEEE International Conference on Robotics and Automation …, 1995 | 85 | 1995 |
Risks of semi-supervised learning: How unlabeled data can degrade performance of generative classifiers F Cozman, I Cohen | 82* | 2006 |
Automatic mountain detection and pose estimation for teleoperation of lunar rovers F Cozman, E Krotkov Experimental Robotics V: The Fifth International Symposium Barcelona …, 2007 | 77 | 2007 |
Generating random Bayesian networks with constraints on induced width JS Ide, FG Cozman, FT Ramos ECAI 16, 323, 2004 | 75 | 2004 |
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 26, 28, 1996 | 74 | 1996 |
Sets of probability distributions, independence, and convexity FG Cozman Synthese 186, 577-600, 2012 | 66 | 2012 |
Inference in credal networks using multilinear programming CP de Campos, FG Cozman Proceedings of the Second Starting AI Researcher Symposium, 50-61, 2004 | 64 | 2004 |
The role of experts in the public perception of risk of artificial intelligence H Neri, F Cozman AI & society 35 (3), 663-673, 2020 | 61 | 2020 |
Robustness analysis of Bayesian networks with local convex sets of distributions FG Cozman arXiv preprint arXiv:1302.1531, 2013 | 61 | 2013 |