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Fabio Gagliardi Cozman
Fabio Gagliardi Cozman
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Title
Cited by
Cited by
Year
Credal networks
FG Cozman
Artificial intelligence 120 (2), 199-233, 2000
6312000
Semi-supervised learning of mixture models
FG Cozman, I Cohen, MC Cirelo
ICML 4, 24, 2003
3842003
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
3412004
Depth from scattering
F Cozman, E Krotkov
Proceedings of IEEE computer society conference on computer vision and …, 1997
2561997
Unlabeled Data Can Degrade Classification Performance of Generative Classifiers.
FG Cozman, I Cohen, M Cirelo
FLAIRS, 327-331, 2002
2332002
Graphical models for imprecise probabilities
FG Cozman
International Journal of Approximate Reasoning 39 (2-3), 167-184, 2005
1492005
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
1291995
Random generation of Bayesian networks
JS Ide, FG Cozman
Brazilian symposium on artificial intelligence, 366-376, 2002
1282002
Efficient solutions to factored MDPs with imprecise transition probabilities
KV Delgado, S Sanner, LN De Barros
Artificial Intelligence 175 (9-10), 1498-1527, 2011
1072011
The inferential complexity of Bayesian and credal networks
CP De Campos, FG Cozman
IJCAI 5, 1313-1318, 2005
1022005
Outdoor visual position estimation for planetary rovers
F Cozman, E Krotkov, C Guestrin
Autonomous Robots 9, 135-150, 2000
872000
Robot localization using a computer vision sextant
F Cozman, E Krotkov
Proceedings of 1995 IEEE International Conference on Robotics and Automation …, 1995
851995
Risks of semi-supervised learning: How unlabeled data can degrade performance of generative classifiers
F Cozman, I Cohen
80*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
772007
Generating random Bayesian networks with constraints on induced width
JS Ide, FG Cozman, FT Ramos
ECAI 16, 323, 2004
752004
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
741996
Sets of probability distributions, independence, and convexity
FG Cozman
Synthese 186, 577-600, 2012
662012
Inference in credal networks using multilinear programming
CP de Campos, FG Cozman
Proceedings of the Second Starting AI Researcher Symposium, 50-61, 2004
632004
Robustness analysis of Bayesian networks with local convex sets of distributions
FG Cozman
arXiv preprint arXiv:1302.1531, 2013
612013
Planning under Risk and Knightian Uncertainty.
FW Trevizan, FG Cozman, LN de Barros
IJCAI 2007, 2023-2028, 2007
612007
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