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Fabio Gagliardi Cozman
Fabio Gagliardi Cozman
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Credal networks
FG Cozman
Artificial intelligence 120 (2), 199-233, 2000
6402000
Semi-supervised learning of mixture models
FG Cozman, I Cohen, MC Cirelo
Proceedings of the 20th international conference on machine learning (ICML …, 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
3432004
Depth from scattering
F Cozman, E Krotkov
Proceedings of IEEE computer society conference on computer vision and …, 1997
2571997
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
1482005
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
1301995
Random generation of Bayesian networks
JS Ide, FG Cozman
Brazilian symposium on artificial intelligence, 366-376, 2002
1292002
Efficient solutions to factored MDPs with imprecise transition probabilities
KV Delgado, S Sanner, LN De Barros
Artificial Intelligence 175 (9-10), 1498-1527, 2011
1102011
The inferential complexity of Bayesian and credal networks
CP De Campos, FG Cozman
IJCAI 5, 1313-1318, 2005
1052005
Outdoor visual position estimation for planetary rovers
F Cozman, E Krotkov, C Guestrin
Autonomous Robots 9, 135-150, 2000
892000
Robot localization using a computer vision sextant
F Cozman, E Krotkov
Proceedings of 1995 IEEE International Conference on Robotics and Automation …, 1995
861995
Risks of semi-supervised learning: How unlabeled data can degrade performance of generative classifiers
F Cozman, I Cohen
83*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
802007
Generating random Bayesian networks with constraints on induced width
JS Ide, FG Cozman, FT Ramos
ECAI 16, 323, 2004
772004
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
751996
Sets of probability distributions, independence, and convexity
FG Cozman
Synthese 186, 577-600, 2012
672012
Inference in credal networks using multilinear programming
CP De Campos, FG Cozman
Proceedings of the Second Starting AI Researcher Symposium, 50-61, 2004
652004
Planning under Risk and Knightian Uncertainty.
FW Trevizan, FG Cozman, LN de Barros
IJCAI 2007, 2023-2028, 2007
642007
The role of experts in the public perception of risk of artificial intelligence
H Neri, F Cozman
AI & society 35 (3), 663-673, 2020
632020
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