World's Best Scientists 2026 revealed!
Fabio Gagliardi Cozman

Fabio Gagliardi Cozman

D-Index & Metrics

Computer Science

D-Index
30
Citations
5009
World Ranking
13958
National Ranking
74

Best Publications

  • Credal networks

    Fabio G. Cozman

  • Semi-supervised learning of mixture models

    Fabio Gagliardi Cozman;Ira Cohen;Marcelo Cesar Cirelo

  • Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction

    I. Cohen;F.G. Cozman;N. Sebe;M.C. Cirelo

  • Depth from scattering

    F. Cozman;E. Krotkov

  • Unlabeled Data Can Degrade Classification Performance of Generative Classifiers

    Fabio G. Cozman;Ira Cohen

  • Generalizing variable elimination in Bayesian networks

    Unknown

  • Graphical models for imprecise probabilities

    Unknown

  • Experience with rover navigation for lunar-like terrains

    R. Simmons;E. Krotkov;L. Chrisman;F. Cozman

  • Random Generation of Bayesian Networks

    Unknown

  • Efficient solutions to factored MDPs with imprecise transition probabilities

    Karina Valdivia Delgado;Scott Sanner;Leliane Nunes de Barros;Fabio G. Cozman

  • The inferential complexity of Bayesian and credal networks

    Unknown

  • Outdoor Visual Position Estimation for Planetary Rovers

    Fabio Cozman;Eric Krotkov;Carlos Guestrin

  • Robot localization using a computer vision sextant

    F. Cozman;E. Krotkov

  • Planning under risk and Knightian uncertainty

    Unknown

  • Generating Random Bayesian networks with constraints on induced width

    Jaime S. Ide;Fabio G. Cozman;Fabio T. Ramos

  • Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers.

    Fábio Gagliardi Cozman;Ira Cohen

  • Safeguarded Teleoperation for Lunar Rovers: From Human Factors to Field Trials

    Eric Krotkov;Reid Simmons;Fabio Cozman;Sven Koenig

  • Semi-Supervised Learning of Mixture Models and Bayesian Networks

    Fabio Gagliardi Cozman;Ira Cohen;Marcelo César Cirelo

  • Sets of probability distributions, independence, and convexity

    Fábio Gagliardi Cozman

  • Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence

    Fabio Cozman;Avi Pfeffer

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