Fabio Cozman's List of Publications

Fabio Cozman's Publications (as of February 2013)

You can find a list of selected publications elsewhere, containing only those papers that summarize previous results (basically book chapters and journal papers) and those papers/reports that contain otherwise unpublished material.

Edited books

Fabio G. Cozman, Avi Pfeffer. Uncertainty in Artificial Intelligence - Proceedings of the Twenty-Seventh Conference, AUAI Press, 2011.
F. G. Cozman, R. Nau, T. Seidenfeld (editors). Proceedings of the Fourth International Symposium on Imprecise Probabilities and Their Applications, Society for Imprecise Probability Theory and Applications, 2005.
L. N. de Barros, R. M. Cesar Junior, F. G. Cozman, A. H. R. Costa (editors). Proceedings of the IBERAMIA/SBIA 2000 Workshops, ISBN 85-901664-1-4, Editora Tec Art, São Paulo, Brazil, 2000.
G. de Cooman, F. G. Cozman, S. Moral, P. Walley (editors). Proceedings of the First Symposium on Imprecise Probabilities and Their Applications, ISBN 90-805034-1-X, Ghent, Belgium, 1999.

Edited special issues

Fabio G. Cozman, Rolf Haenni, Jan-Willem Romeijn, Federica Russo, Gregory Wheeler, Jon Williamson (editors). Special issue: Combining Probability and Logic, Journal of Applied Logic, vol. 7, 2009.
A. Cano, F. G. Cozman, T. Lukasiewicz (editors). Special issue: Reasoning with Imprecise Probabilities, International Journal of Approximate Reasoning, vol. 44, n. 3, 2007.
F. G. Cozman, S. Moral (editors). Special issue: Reasoning with Imprecise Probabilities, International Journal of Approximate Reasoning, vol. 24, n. 2/3, 2000.
F. G. Cozman, S. Moral (editors). Special issue: Models for Imprecise Probabilities and Partial Knowledge, International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, vol. 8, n. 3, 2000.

Book chapters

Fabio G. Cozman, Teddy Seidenfeld. Independence for full conditional measures and their graphoid properties. Foundations of the Formal Sciences VI, Reasoning about Probabilities and Probabilistic Reasoning pp. 1-29, College Publications, London, 2009. Preprint available.
F. G. Cozman, I. Cohen, Risks of semi-supervised learning, in Olivier Chapelle, Bernhard Scholkopf, Alexander Zien (editors), Semi-Supervised Learning, pp. 55-70, 2006. Preprint available.

Journal articles

Fabio G. Cozman. Sets of probability distributions, independence, and convexity. Synthese, 186(2):577-600, 2012. Preprint available.
Rafael A. M. Goncalves, Diego R. Cueva, Marcos R. Pereira-Barretto, Fabio G. Cozman. A model for inference of emotional state based on facial expressions Journal of the Brazilian Computer Society, 2012 (Online first). Preprint available.
Valquiria Fenelon Pereira, Paulo E. Santos, Hannah M. Dee and Fabio G. Cozman. Reasoning about shadows in a mobile robot environment. Applied Intelligence, 2012 (Online first). Preprint available.
Marcos R. P. Barretto, William J. Fuks, Fabio G. Cozman. Adaptabilidade em sistemas de recomendacao: Perspectivas, Revista de Sistemas e Computacao, vol. 2, pp. 89-94, 2012.
Daniel Kikuti, Fabio G. Cozman, Ricardo Shirota Filho. Sequential decision making with partially ordered preferences. Artificial Intelligence, 175(7-8):1346-1365, 2011. Preprint available.
Karina Valdivia Delgado, Leliane Nunes de Barros, Fabio Gagliardi Cozman, Scott Sanner. Using mathematical programming to solve Factored Markov Decision Processes with Imprecise Probabilities. International Journal of Approximate Reasoning, p. 200, 2011. Preprint available.
Rafael A. M. Goncalves, Diego R. Cueva, Marcos R. P. Barretto, Fabio G. Cozman. A dynamic model for identification of emotional expressions, Polibits, vol. 44, pp. 25-30, 2011. Preprint available.
Fabio Gagliardi Cozman. Concentration inequalities and laws of large numbers under epistemic and regular irrelevance. International Journal of Approximate Reasoning, 51:1069-1084, 2010. Preprint available.
Marko Ackermann, Fabio Gagliardi Cozman. Automatic knee flexion in lower limb orthoses. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 31(4):305-311, 2009. Preprint available.
Cassio Polpo de Campos, Fabio G. Cozman, Jose Eduardo Ochoa Luna. Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence, Journal of Applied Logic, 7:137-154, 2009.
Jaime Shinsuke Ide, Fabio G. Cozman. Approximate algorithms for credal networks with binary variables, International Journal of Approximate Reasoning, v. 48, p. 275-296, 2008. Preprint available.
Fabio G. Cozman, Cassio Polpo de Campos, Jose Carlos Ferreira da Rocha. Probabilistic logic with independence, International Journal of Approximate Reasoning, v. 49, p. 3-17, 2008. Preprint available.
Ismenia Blavatsky, Fabio G. Cozman. Avaliacao do uso de redes Bayesianas discretas para imputacao, Revista Brasileira de Estatistica, vol. 69, pp. 85-111, 2008.
C. Polpo de Campos, F. G. Cozman. Computing lower and upper expectations under epistemic independence, International Journal of Approximate Reasoning, 44(3):244-260, 2007. Preprint available.
P. Vicig, M. Zaffalon, F. G.Cozman. Notes on "Notes on conditional previsions", International Journal of Approximate Reasoning, 44(3):358-365, 2007. Preprint available.
D. Berleant, F. G. Cozman, O. Kosheleva, V. Kreinovich. Dealing with Imprecise Probabilities: Interval-related talks at ISIPTA'05, Reliable Computing, 12(2):153-165, 2006. Preprint available.
F. G. Cozman, P. Walley. Graphoid properties of epistemic irrelevance and independence, Annals of Mathematics and Artificial Intelligence, 45:173-195, 2005. Preprint available.
N. Sebe, I. Cohen, F. G. Cozman, T. Gevers, T. S. Huang. Learning probabilistic classifiers for human-computer interaction applications, Multimedia Systems, 10(6):484-498, 2005. Preprint available.
F. T. Ramos, F. G. Cozman. Anytime anyspace probabilistic inference, International Journal of Approximate Reasoning, 38:53-80, 2005. Preprint available.
F. G.Cozman. Graphical models for imprecise probabilities, Journal of International Journal of Approximate Reasoning, 39(2-3):167-184, 2005. Preprint available.
J. C. F. da Rocha, F. G. Cozman. Inference in credal networks: branch-and-bound methods and the A/R+ algorithm, International Journal of Approximate Reasoning, 39(2-3):279-296, 2005. Preprint available.
I. Cohen, F. G. Cozman, N. Sebe, M. C. Cirelo, T. S. Huang. Semisupervised learning of classifiers: Theory, algorithms, and their application to human-computer interaction, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(12):1553-1568, 2004. Preprint available.
J. C. F. da Rocha, F. G. Cozman. A/R+: Um algoritmo para inferÃªncia em redes credais, Scientia, vol. 14, n. 2, p. 191-206, Julho/Dezembro 2003. [Portuguese]
F. G. Cozman. The JavaBayes system, The ISBA Bulletin, vol. 7, n. 4, pp. 16-21, 2001 (invited publication without referreing process). Preprint available.
F. G. Cozman, E. Krotkov, C. E. Guestrin. Outdoor Visual Position Estimation for Planetary Rovers, Autonomous Robots, vol. 9, pp. 135-150, 2000. Preprint available.
F. G. Cozman. Credal networks, Artificial Intelligence Journal, vol. 120, pp. 199-233, 2000. Preprint available.
F. G. Cozman. Computing posterior upper expectations, International Journal of Approximate Reasoning, vol. 24, pp. 191-205, 2000. Preprint available.
F. G. Cozman. Calculation of Posterior Bounds Given Convex Sets of Prior Probability Measures and Likelihood Functions, Journal of Computational and Graphical Statistics, vol. 8(4), pp. 824-838, 1999. Preprint available.
F. G. Cozman. Independence Relations in the Robustness Analysis of Multivariate Probabilistic Models, Revista Ciência e Engenharia, 1, pp. 30-36, 1999. Article selected by the organizing committee of the XII Congresso Brasileiro de Automática (Brazilian Conference on Automation).
F. G. Cozman, J. C. Adamowski. A Mecânica Descobre as Engrenagens do Futuro, Noticiário de Equipamentos Industriais (NEI), pp. 3-6, January, 1999 (invited publication without refereeing process) [Portuguese].

Conferences and symposia

J, E, Ochoa-Luna, K. C. Revoredo, F. G. Cozman. An Experimental Evaluation of a Scalable Probabilistic Description Logic Approach for Semantic Link Prediction. 8th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2012), pp. 63-74, 2012. Preprint available.
R. B. Polastro, F. G. Cozman, F. I. Takiyama, K. C. Revoredo. Computing inferences for Credal ALC terminologies, 8th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2012), pp. 94-97, 2012. Preprint available.
F. G. Cozman, M. R. P. Barretto, William J. Fuks. Adaptability in recommendation systems: perspectives, Workshop de Tecnologia Adaptativa (WTA 2012), pp. 1-5, 2012.
F. I. Takiyama, F. G. Cozman. Inferences in CRALC using the AC-FOVE algorithm, XIX Congresso Brasileiro de Automatica, 2012.
F. S. Truzzi, V. F. da Silva, A. H. R. COSTA, F. G. Cozman. Markov Decision Processes for ad network optimization, Encontro Nacional de Inteligencia Artificial (ENIA), 2012. Preprint available.
J. A. Gurzoni Jr., F. G. Cozman. Classification of laser and visual sensors using associative Markov networks, Encontro Nacional de Inteligencia Artificial (ENIA), 2012. Preprint available.
V. F. Pereira, P. E. Santos, F. G. Cozman. Reconhecimento de objetos baseado em contexto utilizando a logica de descricao Probabilistica, Encontro Nacional de Inteligencia Artificial (ENIA), 2012. Preprint available.
F. I. Takiyama, F. G. Cozman. Algoritmo de eliminacao de variaveis em primeira ordem aplicado a uma logica de descricao probabilistica, Encontro Nacional de Inteligencia Artificial (ENIA), 2012. Preprint available.
J. E. Ochoa-Luna, K. C. Revoredo, F. G. Cozman. A scalable probabilistic description logic approach for semantic link prediction, Encontro Nacional de Inteligencia Artificial (ENIA), 2012. Preprint available.
F. de O. Franco, L. N. de Barros, K. V. Delgado, F. G. Cozman. Jogos Markovianos alternados com probabilidades imprecisas dadas por conjuntos credais, Anais do VIII Encontro Nacional de Inteligencia Artificial, 2011.
R. A. M. Goncalves, D. R. Cueva, M. R. P. Barretto, F. G. Cozman. Determinacao da emocao demonstrada pelo interlocutor, Anais do VIII Encontro Nacional de Inteligencia Artificial, 2011.
D. R. Cueva, R. A. M. Goncalves, F. G. Cozman, M. R. P. Barretto. Fusao de observacoes afetivas em cenarios realistas, Anais do VIII Encontro Nacional de Inteligencia Artificial, 2011.
M. Finger, R. Wassermann, F. G. Cozman. Satisfiability in EL with sets of probabilistic ABoxes, International Workshop on Description Logics, 2011. Preprint available.
F. R. Correa, F. G. Cozman, J. Okamoto Jr. Collective classification in semantic mapping with a probabilistic description logic, International Workshop on Description Logics, 2011. Preprint available.
K. C. Revoredo, J. E. Ochoa-Luna, F. G. Cozman. Semantic Link Prediction through Probabilistic Description Logic, 7th International Workshop on Uncertainty Reasoning for the Semantic Web, pp. 87–97, Bonn, Germany, 2011. Preprint available.
T. Matos, Y. P. Bergamo, V. F. da Silva, F. G. Cozman, A. H. R. Costa. Simultaneous Abstract and Concrete Reinforcement Learning, Symposium on Abstraction, Reformulation, and Approximation, pp. 82-89, Parador de Cardona, July 2011. Preprint available.
J. E Ochoa-Luna, K. C. Revoredo, F. G. Cozman. Learning probabilistic description logics: A framework and algorithms, Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence (MICAI2011), Lecture Notes in Artificial Intelligence 7094 Part I, pp. 28-39, Springer, 2011. Preprint available.
D. R. Cueva, R. A. M. Goncalves, F. G. Cozman, M. R. P. Barretto. Crawling to improve multimodal emotion detection, Advances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence (MICAI2011), Lecture Notes in Artificial Intelligence 7095, Part II, pp. 343-350, Springer, 2011. Preprint available.
P. E. Santos, F. G. Cozman, V. F. Pereira, B. Hummel. Probabilistic logic encoding of spatial domains. International Workshop on Uncertainty in Description Logics, 2010. Preprint available.
V. F. Pereira, B. Hummel, P. E. Santos, F. G. Cozman. Encoding spatial domains with relational Bayesian networks. Workshop on Spatio-Temporal Dynamics (STeDY), pp. 49-54, 2010. Preprint available.
M. G. Eboli, F. G. Cozman. Markov decision processes from colored Petri nets, Advances in Artificial Intelligence - SBIA 2010 (Lecture Notes in Artificial Intelligence), vol. 6404. p. 72-81, 2010.
F. R. Correa, F. G. Cozman, J. Okamoto Jr. Mapeamento tridimensional de ambientes com sensor laser fixo a um robo movel, XVIII Congresso Brasileiro de Automatica, pp. 9-14, 2010.
M. G. Eboli, F. G. Cozman, K. V. Delgado, L. N. de Barros. From colored Petri nets to Markov decision processes, XVIII Congresso Brasileiro de Automática, pp. 1755-1762, 2010.
J. E. Ochoa-Luna, K. C. Revoredo, F. G. Cozman. Semantic query extension using query contexts and probabilistic description logics, III International Workshop on Web and Text Intelligence (WTI), pp. 856-865, 2010. Preprint available.
Kate C. Revoredo, Jose Eduardo Ochoa-Luna, Fabio G. Cozman. Learning terminologies in probabilistic description logics. Lecture Notes in Artificial Intelligence, volume 6404, Advances in Artificial Intelligence - SBIA 2010, pp. 41-50, 2010. Preprint available.
Rodrigo B. Polastro, Fabiano E. Correa, Fabio G. Cozman, J. Okamoto Jr. Semantic mapping with a probabilistic description logic. Lecture Notes in Artificial Intelligence, volume 6404, Advances in Artificial Intelligence - SBIA 2010, pp. 62-71, 2010. Preprint available.
Fabiano Correa, Rodrigo Bellizia Polastro, Fabio Gagliardi Cozman, Jun Okamoto Junior. Dealing with semantic knowledge in robotics with a probabilistic description logic. ASAI 2010 - XI Argentine Symposium on Artificial Intelligence, p. 1-12, 2010. Preprint available.
Jose Eduardo Ochoa Luna, Kate Revoredo, Fabio Gagliardi Cozman. Semantic query extension through probabilistic description logics. Workshop on Uncertainty Reasoning for the Semantic Web at the International Semantic Web Conference, p. 49-60, 2010. Preprint available.
Jose Eduardo Ochoa Luna, Kate Revoredo, Fabio Gagliardi Cozman. Learning sentences and assessments in probabilistic description logics. Workshop on Uncertainty Reasoning for the Semantic Web at the International Semantic Web Conference, p. 85-96, 2010. Preprint available.
Karina Valdivia Delgado, Scott Sanner, Leliane Nunes de Barros, Fabio G. Cozman. Efficient solutions to factored MDPs with imprecise transition probabilities, 19th International Conference on Automated Planning and Scheduling, pp. 98-105, Thessaloniki, Greece, 2009. Preprint available.
K. V. Delgado, L. N. de Barros, F. G. Cozman, R. Shirota Filho. Representing and solving factored Markov Decision Processes with imprecise probabilities, Proceedings on the Sixth International Symposium on Imprecise Probabilities: Theories and Applications, pp. 169-178, 2009. Preprint available.
D. D. Maua, F. G. Cozman. Representing and classifying user reviews, Encontro Nacional de Inteligencia Artificial, 2009. Preprint available.
J. E. Ochoa-Luna, F. G. Cozman. A probabilistic algorithm for multi-relational data mining, V Workshop em Algoritmos e Aplicacoes de Mineracao de Dados, pp. 34-41, 2009. Preprint available.
J. E. Ochoa-Luna, F. G. Cozman. An algorithm for learning with probabilistic description logics, International Workshop on Uncertainty Reasoning for the Semantic Web, pp. 63-74, 2009. Preprint available.
D. J. Santos Filho, L. A. Moscato, P. E. Miyagi, F. G. Cozman, C. H. Kano. Educacao tutorial: uma proposta de formacao diferenciada em engenharia, XVIII Encontro Anual da Associacao Brasil Japao de Pesquisadores e II Simposio Brasil-Japao, pp. 123-130, 2009.
Fabio G. Cozman. Concentration inequalities and laws of large numbers under epistemic irrelevance, Sixth International Symposium on Imprecise Probability: Theories and Applications, 2009. A revised version of the paper presented at the meeting is available.
Fabio G. Cozman, Rodrigo Polastro. Complexity analysis and variational inference for interpretation-based probabilistic description logics, Conference on Uncertainty in Artificial Intelligence, 2009. Preprint available.
Fabio G. Cozman, Rodrigo Bellizia Polastro. Loopy propagation in a probabilistic description logic, Second International Conference on Scalable Uncertainty Management, Lecture Notes in Artificial Intelligence, LNAI 5291, pp. 120-133, Springer, 2008. Preprint available.
Silvio do Lago Pereira, Leliane N. de Barros, Fabio G. Cozman. Strong Probabilistic Planning, Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence (MICAI), Lecture Notes in Computer Science 5317, Springer (ISBN 978-3-540-88635-8), pp. 636-652, 2008. Preprint available.
Felipe W. Trevizan, Fabio G. Cozman, Leliane N. de Barros. Mixed Probabilistic and Nondeterministic Factored Planning through Markov Decision Processes with Set-Valued Transitions, Workshop on A Reality Check for Planning and Scheduling Under Uncertainty at the Eighteenth International Conference on Automated Planning and Scheduling (ICAPS), 2008. Preprint available.
Victor Anselmo Silva, Rodrigo Polastro, FÃ¡bio Gagliardi Cozman. Learning Classifiers with Markov Logic Networks, Congresso Brasileiro de AutomÃ¡tica (CBA), 6 pp., Juiz de Fora, Brazil, 2008. Preprint available.
Monica Eboli, Fabio G. Cozman. Modeling Manufacturing systems with Stochastic Petri Nets and Markov Decision Processes with Imprecise Probabilities: Theory and Application in the Automotive Industry, Congresso Brasileiro de AutomÃ¡tica (CBA), 6 pp., Juiz de Fora, Brazil, 2008. Preprint available.
Denis D. Maua, Fabio Gagliardi Cozman. Using social data to predict trust on web communities: A case study with the epinions.com website, Workshop on Information Visualization and Analysis in Social Networks (WIVA), 10 pp., Campinas, Brazil, 2008. Preprint available.
Monica Goes Eboli, Fabio G. Cozman. Modeling automotive assembly lines with generalized stochastic Petri nets and Markov decision processes with imprecise probabilities. XVII Congresso e ExposiÃ§Ã£o Internacional de Tecnologia da Mobilidade. SAE Brasil Paper Number 2008-36-0143, SÃ£o Paulo, Brazil, 2008.
Rodrigo B. Polastro, Fabio G. Cozman. Inference in probabilistic ontologies with attributive concept descriptions and nominals, Workshop on Uncertainty Reasoning for the Semantic Web at the 7th International Semantic Web Conference, pp. 56-67, 2008. Preprint available.
Felipe W. Trevizan, Fabio G. Cozman, Leliane N. de Barros. Planning under Risk and Knightian Uncertainty, International Joint Conference on Artificial Intelligence, pp. 2023-2028, 2007. Preprint available.
João Vitor Torres, Fabio Gagliardi Cozman, André Rodrigues. Compact Representations of Markov decision processes and their application to printer management, Encontro Nacional de Inteligencia Artificial, pp. 1072-1081, Rio de Janeiro, RJ, 2007. Preprint available.
Paulo SÃ©rgio de Souza Andrade, Jose C. F. da Rocha, Danillo Paulo Couto, Andre da Costa Teves, Fabio Gagliardi Cozman. A toolset for propositional probabilistic logic, Encontro Nacional de Inteligencia Artificial, pp. 1371-1380, Rio de Janeiro, RJ, 2007. Preprint available.
Jose Eduardo Ochoa Luna, Cassio Polpo de Campos, Fabio Gagliardi Cozman. Independence in relational languages with finite domains, Encontro Nacional de Inteligencia Artificial, pp. 1420-1429, Rio de Janeiro, RJ, 2007. Preprint available.
Cassio Polpo de Campos, Fabio Gagliardi Cozman. Inference in credal networks through integer programming, Fifth International Symposium on Imprecise Probability: Theories and Applications, pp. 145-154, Praga, RepÃºblica Tcheca, 2007. Preprint available.
Ricardo Shirota Filho, Fabio Gagliardi Cozman, Felipe Werndl Trevizan, Cassio Polpo de Campos, Leliane Nunes de Barros. Multilinear and integer programming for Markov decision processes with imprecise probabilities, Fifth International Symposium on Imprecise Probability: Theories and Applications, pp. 395-404, Praga, RepÃºblica Tcheca, 2007. Preprint available.
F. W. Trevizan, F. G. Cozman, L. Nunes de Barros, Unifying nondeterministic and probabilistic planning through imprecise Markov decision processes, Brazilian Symposium on Artificial Intelligence, pp. 502-511, 2006. [Best Paper Award] Preprint available.
F. G. Cozman, C. Polpo de Campos, J. C Ferreira da Rocha, Probabilistic logic with strong independence, Brazilian Symposium on Artificial Intelligence, pp. 612-621, 2006. Preprint available.
A. Antonucci, M. Zaffalon, J. Ide, F. G. Cozman. Binarization algorithms for approximate updating in credal nets. In L. Penserini, P. Peppas, A. Perini, eds., Proceedings of the Third European Starting AI Researcher Symposium, pp. 120-131, Amsterdam, The Netherlands, IOS Press, 2006.
J.S. Ide, E.C. Colla and F.G. Cozman. Bayesian Network Classifiers for Short Period Country Risk Forecasting. Proceedings of the Workshop em Algoritmos e AplicaÃ§Ãµes de MineraÃ§Ã£o de Dados (WAAMD), held jointly with 21st Brazilian Symposium on Databases, pp. 109-112, 2006.
E.C. Colla, J.S. Ide and F.G. Cozman. Bayesian Network Classifiers for Country Risk Forecasting. ECML/PKDD 2006 - Workshop on Practical Data Mining: Applications, Experiences and Challenges, 2006.
L. A. M. Riascos, M. G. SimÃµes, F. G. Cozman, P. E. Miyagi, Bayesian network supervision on fault tolerant fuel cells, IEEE / Industry Applications Society 41st Annual Meeting, 2006, Piscataway, IEEE, 2006.
I. B. de MagalhÃ£es, F. G. Cozman. ImputaÃ§Ã£o de dados a partir de redes Bayesianas, 5 pÃ¡gs., SimpÃ³sio Nacional de Probabilidade e EstatÃstica (SeÃ§Ã£o EstatÃsticas PÃºblicas e Demografia), Caxambu, MG, 2006. [Portuguese]
C. P. de Campos, F. G. Cozman. Computing lower and upper expectations under epistemic independence, Fourth International Symposium on Imprecise Probabilities and Their Applications (ISIPTA), pp. 78-87, Brightdoc, Dulles, Virginia, 2005. Preprint available.
J. S. Ide, F. G. Cozman. Approximate inference in credal networks by variational mean field methods, Fourth International Symposium on Imprecise Probabilities and Their Applications (ISIPTA), pp. 203-212, Brightdoc, Dulles, Virginia, 2005. Preprint available.
C. P. de Campos, F. G. Cozman. Belief updating and learning in semi-qualitative probabilistic networks, Conference on Uncertainty in Artificial Intelligence (UAI), pp. 153-160, Edinburgh, United Kingdom, 2005. Preprint available.
D. Kikuti, F. G. Cozman, C. P. de Campos. Partially ordered preferences in decision trees: computing strategies with imprecision in probabilities, IJCAI Workshop on Advances in Preference Handling, Edinburgh, United Kingdom, 2005. Preprint available. PLEASE also note that an errata has been produced, correcting a few mistakes in the paper!
C. P. de Campos, F. G. Cozman. The inferential complexity of Bayesian and credal networks, International Joint Conference on Artificial Intelligence, pp. 1313-1318, Edinburgh, United Kingdom, 2005. Preprint available.
J. C. F. da Rocha, C. P. de Campos, F. G. Cozman. IDS: A divide-and-conquer algorithm for inference in polytree-shaped credal networks, Encontro Nacional de InteligÃªncia Artificial, SÃ£o Leopoldo, Brazil, 2005. Preprint available.
J. S. Ide, F. G. Cozman. Set-based variational methods in credal networks: the SV2U algorithm, Encontro Nacional de InteligÃªncia Artificial, SÃ£o Leopoldo, Brasil, 2005. Preprint available.
C. S. Oliveira, F. G. Cozman, I. Cohen. Splitting the unsupervised and supervised components of semi-supervised learning, ICML Workshop on Learning with Partially Classified Training Data, Bonn, Alemanha, 2005. Preprint available.
F. O. Fagundes, F. G. Cozman, J. C. F. da Rocha. Conduzindo InferÃªncia LÃ³gica e ProbabilÃstica para DescriÃ§Ã£o de Recursos de ProduÃ§Ã£o DistribuÃdos: ImplementaÃ§Ã£o Paralela de InferÃªncia em Redes Credais, VII SimpÃ³sio Brasileiro de AutomaÃ§Ã£o Inteligente, SÃ£o Luis, MaranhÃ£o, Brasil, 2006. [Portuguese]
M. J. Perazzo, F. G. Cozman. Derivadas em Redes Bayesianas usando EliminaÃ§Ã£o de VariÃ¡veis, Congresso Brasileiro de AutomÃ¡tica, 6p., Gramado, Rio Grande do Sul, Brasil, 2004. [Portuguese] Preprint available.
J. S. Ide, F. G. Cozman, F. T. Ramos. Generating random Bayesian networks with constraints on induced width, European Conference on Artificial Intelligence (ECAI), pp. 323-327, IOS Press, Amsterdan, 2004. Preprint available.
F. G. Cozman. Axiomatizing Noisy-OR, European Conference on Artificial Intelligence (ECAI), pp. 979-980, IOS Press, Amsterdan, 2004. Preprint available.
F. G. Cozman, C. P. de Campos, J. S. Ide, J. C. F. da Rocha. Propositional and relational Bayesian networks associated with imprecise and qualitative probabilistic assessments, Conference on Uncertainty in Artificial Intelligence, pp. 104-111, AUAI Press, 2004. Preprint available.
C. P. de Campos, F. G. Cozman. Inference in credal networs using multilinear programming, Second Starting AI Researcher Symposium (STAIRS), pp. 50-61, IOS Press, 2004. Preprint available.
J. S. Ide, F. G. Cozman. IPE and L2U: Approximate algorithms for credal networks, Second Starting AI Researcher Symposium (STAIRS), pp. 118-127, IOS Press, 2004 (Outstanding Paper Award at STAIRS2004). Preprint available.
F. G. Cozman. Computing lower expectations with Kuznetsov's independence condition, Third International Symposium on Imprecise Probabilities and Their Applications, pp. 177-187, Carleton Scientific, 2003. Preprint available.
J. C. F. da Rocha, F. G. Cozman. Inference in credal networks with branch-and-bound algorithms, Third International Symposium on Imprecise Probabilities and Their Applications, pp. 482-495, Carleton Scientific, 2003. Preprint available.
J. C. F. da Rocha, F. G. Cozman, C. P. de Campos. Inference in polytrees with sets of probabilities, Conference on Uncertainty in Artificial Intelligence, pp. 217-224, Morgan Kaufmann, 2003. Preprint available.
F. G. Cozman, I. Cohen, M. C. Cirelo. Semi-supervised learning of mixture models, International Conference on Machine Learning, pp. 99-106, 2003. Preprint available.
I. Cohen, N. Sebe, F. G. Cozman, M. C. Cirelo, T. S. Huang. Learning Bayesian network classifiers for facial expression recognition using both labeled and unlabeled data, IEEE Conference on Computer Vision and Pattern Recognition, 2003. Preprint available.
J. C. F. da Rocha, F. G. Cozman. A/R+: Um algoritmo para inferência em redes credais, Encontro Nacional de Inteligência Artificial, 2003 [Portuguese]. Preprint available.
A. H. Saheki, R. Sharovsky, F. G. Cozman, V. M. H. Coupé. Construção de uma rede Bayesiana aplicada ao diagnóstico de doenças cardíacas, Encontro Nacional de Inteligência Artificial, 2003 [Portuguese]. Preprint available.
M. C. Cirelo, F. G. Cozman. Aprendizado semi-supervisionado de classificadores Bayesianos utilizando testes de independência, Encontro Nacional de InteligÃªncia Artificial, 2003 [Portuguese]. Preprint available.
M. Ackermann, F. G. Cozman. Mechanized knee flexion in lower limb orthoses: A prototype and tests, Congresso Brasileiro de Engenharia MecÃ¢nica, pp. 83ffs, 2003.
F. T. Ramos, M. Ackermann, A. H. Saheki, R. S. Sartori, F. G. Cozman, L. A. Moscato. RoboPET: A semi-autonomous robot for hazardous inspections, Congresso Brasileiro de Engenharia MecÃ¢nica, pp. 234ffs, 2003.
I. Cohen, N. Sebe, F. G. Cozman, T. S. Huang. Semi-supervised learning for facial expression recognition, International Multimedia Conference, Proc. of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, pp. 17-22, Berkeley, California, 2003.
L. A. M. Riascos, F. G. Cozman, P. E. Miyagi. Detection and Treatment of Faults in Automated Machines Based on Petri Nets and Bayesian Networks, IEEE ISIE International Symposium on Industrial Electronics, IEEE, 2003.
J. S. Ide, F. G. Cozman. Random generation of Bayesian networks, Brazilian Symposium on Artificial Intelligence (SBIA), pp. 366-375, Porto de Galinhas, Pernambuco, Brazil, 2002. Preprint available.
J. C. F. da Rocha, F. G. Cozman. Evidence propagation in credal networks: an exact algorithm based on separately specified sets of probability, Brazilian Symposium on Artificial Intelligence (SBIA), pp. 376-385, Porto de Galinhas, Pernambuco, Brazil, 2002. Preprint available.
F. T. Ramos, F. G. Cozman. Selecting exact and approximate algorithms in decomposed Bayesian networks, Workshop de Computação, pp. 151-155, São José dos Campos, São Paulo, Brazil, 2002.
M. Ackermann, F. G. Cozman. Um sistema de travamento para a articulação do joelho de órteses de membros inferiores, II Congresso Nacional de Engenharia Engenharia Mecânica, pp. 116-124, Joao Pessoa, Paraiba, Brazil, 2002 [Portuguese]. Preprint available.
J. C. F. da Rocha, F. G. Cozman. Inference with separately specified sets of probabilities in credal networks, XVIII Conference on Uncertainty in Artificial Intelligence, Adnan Darwiche e Nir Friedman, editors, pp. 430-437, Morgan Kaufmann, San Francisco, California, 2002. Preprint available.
F. T. Ramos, F. G. Cozman. Embedded Bayesian networks: Anyspace, anytime probabilistic inference, Workshop on Real-Time Decision Support and Diagnosis Systems, pp. 13-19, Edmonton, Canada, 2002. Preprint available.
F. G. Cozman. Algorithms for Conditioning on Events of Zero Probability, Fifteenth International Florida Artificial Intelligence Society Conference, pags. 248-252, Pensacola, Florida, United States, 2002. Preprint available.
F. G. Cozman, I. Cohen. Unlabeled Data can Degrade Classification Performance of Generative Classifiers, Fifteenth International Florida Artificial Intelligence Society Conference, pags. 327-331, Pensacola, Florida, United States, 2002. Preprint available.
J. S. Ide, F. G. Cozman. Testing MCMC algorithms with randomly generated Bayesian networks, I Workshop de Teses e DissertaÃ§Ãµes em InteligÃªncia Artificial, pp. 252-261, Porto de Galinhas, Pernambuco, Brasil, 2002. [Portuguese]
M. Ackermann, F. G. Cozman, A. Dias. A System for Mechanized Knee Flexion in Lower Limb Orthosis, XVI Congresso Brasileiro de Engenharia Mecânica, pags. 254-263 (volume Bioengenharia), Uberlândia, Brazil, 2001.
J. S. Ide, F. G. Cozman. Raciocínio Probabilístico em Sistemas Embarcados, Encontro Nacional de InteligÃªncia Artificial (ENIA), Anais do XXI Congresso da Sociedade Brasileira de ComputaÃ§Ã£o, Fortaleza, Brazil, 2001 [Portuguese].
F. G. Cozman. Constructing Sets of Probability Measures Through Kuznetsov's Independence Condition, Proceedings of the Second International Symposium on Imprecise Probabilities and Their Applications, pags. 104-111, Ithaca, New York, United States, 2001. Preprint available.
F. G. Cozman, P. Walley. Graphoid Properties of Epistemic Irrelevance and Independence, Proceedings of the Second International Symposium on Imprecise Probabilities and Their Applications, pags. 112-121, Ithaca, New York, United States, 2001. Preprint available.
F. G. Cozman. Removing Redundancy in the Expectation-Maximization Algorithm for Bayesian Networks, Proceedings of the IBERAMIA/SBIA 2000 Workshops (Workshop on Probabilistic Reasoning in Artificial Intelligence), pp. 21-26, Editora Tec Art, São Paulo, Brazil, 2000. Preprint available.
F. G. Cozman. Generalizing Variable Elimination in Bayesian Networks, Proceedings of the IBERAMIA/SBIA 2000 Workshops (Workshop on Probabilistic Reasoning in Artificial Intelligence), pp. 27-32, Editora Tec Art, São Paulo, Brazil, 2000. Preprint available.
F. T. Ramos, F. Mikami, F. G. Cozman. Implementação de Redes Bayesianas em Sistemas Embarcados. Proceedings of the IBERAMIA/SBIA 2000 Workshops (Workshop on Probabilistic Reasoning in Artificial Intelligence), pp. 65-69, Editora Tec Art, São Paulo, Brazil, 2000 [Portuguese]. Preprint available.
F. G. Cozman. Separation Properties of Sets of Probability Measures. XVI Conference on Uncertainty in Artificial Intelligence, pp. 107-115, San Francisco, California, July 2000. Preprint available.
F. G. Cozman. Sensitivity and Robustness Analysis of Bayesian Networks, IV Simpósio Brasileiro de Automação Industrial, pp. 251-255, São Paulo, São Paulo, Brazil, September, 1999. Preprint available.
F. G. Cozman. Irrelevance and Independence Axioms in Quasi-Bayesian Theory, European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), London, England, published in Symbolic and Quantitative Approaches to Reasoning with Uncertainty, A. Hunter e S. Parsons (eds.), pp. 128-136, Springer, July, 1999. Preprint available.
F. G. Cozman. Computing Posterior Upper Expectations, First International Symposium on Imprecise Probabilities and Their Applications (ISIPTA), pp. 131-140, Ghent, Belgium, June/July, 1999. Preprint available.
C. Guestrin; F. G. Cozman; E. Krotkov. Fast Software Image Stabilization with Color Registration, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 19-24, Victoria, Canada, October, 1998.
F. G. Cozman. Independence Relations in the Robustness Analysis of Multivariate Probabilistic Models, XII Congresso Brasileiro de Automática, Vol. V, pp. 1891-1896, Uberlândia, Minas Gerais, Brazil, September 1998. Preprint available.
F. G. Cozman. Irrelevance and Independence Relations in Quasi-Bayesian Networks, XIV Conference on Uncertainty in Artificial Intelligence, pp. 89-96, Madison, Wisconsin, United States, July 1998. Preprint available.
C. Guestrin; F. G. Cozman; M. G. Simões. Industrial Applications of Image Mosaicing and Stabilization, Second International Conference on Knowledge-based Intelligent Electronic Systems, pp. 174-183, Adelaide, Australia, April 1998.
F. Cozman. Robustness analysis of Bayesian networks with local convex sets of distributions, Proc. Thirteen Conference Uncertainty in Artificial Intelligence, Rhode Island, 1997. Preprint available.
F. Cozman; E. Krotkov. Depth from Scattering, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Puerto Rico, June, 1997. Preprint available.
F. Cozman; E. Krotkov. Automatic Mountain Detection and Pose Estimation for Teleoperation of Lunar Rovers, Proc. of the International Conference on Robotics and Automation, pp. 2452-2457, Albuquerque, New Mexico, 1997. Also published in Experimental Robotics V, Lecture Notes in Control and Information Sciences 232, pp. 207-215, Alicia Casals e Anibal T. de Almeida (eds.), Barcelona, Spain, June (15-18) 1997.
F. G. Cozman; E. Krotkov. Position Estimation from Outdoor Visual Landmarks for Teleoperation of Lunar Rovers, Proc. Third IEEE Workshop on Applications of Computer Vision, December, 1996.
F. Cozman; E. Krotkov. Quasi-Bayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem, Proc. Twelfth Conference Uncertainty in Artificial Intelligence, pp. 186-193, 1996. Preprint available.
R. Simmons; E. Krotkov; L. Chrisman; F. Cozman; R. Goodwin; M. Hebert; L. Katragadda; S. Koenig; G. Krishnaswamy; Y. Shinoda; W. Whittaker; and P. Klarer. Experience with Rover Navigation for Lunar-Like Terrains, Proceedings of the Conference on Intelligent Robots and Systems (IROS), pages 441-446, 1995.
F. Cozman; E. Krotkov. Robot Localization using a Computer Vision Sextant, International Conference on Robotics and Automation, pages 106-111, Nagoya, Japan, May 1995. Preprint available.
F. Cozman; E. Krotkov. Truncated Gaussians as Tolerance Sets, Fifth Workshop on Artificial Intelligence and Statistics, Fort Lauderdale Florida, 1995. Preprint available.
F. G. Cozman; P. E. Miyagi; E. B. Nigro. Trajectory Control for a Mobile Robot, V Symposium on Dynamic Problems of Mechanics (DINAME), pp. 157-161, Santo Amaro da Imperatriz, Santa Catarina, Brazil, March 1993.
N. Maruyama; F. G. Cozman. Trajectory Control with Fuzzy Rules applied to a Mobile Robot, IX Congresso Brasileiro de Automática, Vitória, ES Brazil, 1992.
T. Mizutani; P. E. Miyagi; M. J. Chiaramonte; F. G. Cozman. Insensibilidade a Variações de Carga através de Observador de Distúbio de Torque, XI Congresso Brasileiro de Engenharia Mecânica, 3:73-76, São Paulo, SP Brazil, 1991 [Portuguese].
F. G. Cozman; P. E. Miyagi. Trajectory Controller for a Mobile Robot using Optimal Control, XI Congresso Brasileiro de Engenharia Mecânica, 3:537-540, São Paulo, SP Brazil, 1991.
M. G. Simões; F. G. Cozman; L. E. Silva; V. F. Silva. Proposta de Controlador Adaptativo para Acionamento de um VAT Utilizando a Técnica de Modelo de Referência, II Seminário Internacional de Motores Elétricos e Acionamentos Reguláveis (ABINEE TEC91), 2:227-241,São Paulo, SP Brazil, 1991 [Portuguese].
J. C. Adamowski; M. G. Simões; F. G. Cozman. Desenvolvimento de um Robô Móvel, VIII Congresso Brasileiro de Automática, Belém, 1990; selected for IV Congreso Latinoamericano de Control Automatico, Puebla Mexico, 1990; also presented at IV Congresso Nacional de Automação Industrial, pp. 209-212, São Paulo, SP Brazil, 1990 [Portuguese].
M. G. Simões; J. C. Adamowski; F. G. Cozman. Estratégia de Acionamento de Motores para Veículos Autônomos, IV Congresso Nacional de Automação e Sistemas, pp. 214-219, São Paulo, SP Brazil, 1990 [Portuguese].
F. G. Cozman; J. C. Adamowski; M. G. Simões; M. R. P. Barretto; P. E. Miyagi; L. A. Moscato. O Projeto de Veículos Autônomos de Transporte, I Simpósio de Automação Integrada, pp. 119-123, Curitiba, PA Brazil, 1990 [Portuguese].
M. G. Simões; F. G. Cozman; J. C. Adamowski. Controle e Acionamento de Motores para Veículos Autônomos de Transporte, II Seminário de Eletrônica de Potência, Florianópolis, SC Brazil, 1990 [Portuguese].
C. A. M. Ferraz; M. R. P. Barretto; F. G. Cozman. Controle de Trajetória de Veículos Autônomo, X Congresso Brasileiro de Engenharia Mecânica (ABCM), 2:229-232, Rio de Janeiro, RJ Brazil, 1989 [Portuguese].

Invited (unrefereed) publications in conferences and symposia

E. Krotkov; F. G. Cozman; C. Guestrin. Skyline Navigation: Algorithms and Experimental Results, Workshop on Navigation of Outdoor Autonomous Vehicles at the International Conference on Robotics and Automation (ICRA), Leuven, Belgium, May 1998.
F. G. Cozman. Redes Bayesianas para Tomada de Decisões, VIII Congresso e Exposição Internacional de Automação (CONAI), pp. 258-261, São Paulo, São Paulo, Brazil, May 1998 [Portuguese].
E. Krotkov; R. Simmons; F. Cozman; and S. Koenig. Safeguarded Teleoperation for Lunar Rovers: From Human Factors to Field Trials, Proceedings of the IEEE Workshop on Planetary Rover Technology and Systems at the International Conference on Robotics and Automation (ICRA), 1996.
E. Krotkov; M. Hebert; M. Buffa; F. Cozman; L. Robert. Stereo Driving and Position Estimation for Autonomous Planetary Rovers, International Advanced Robotics Programme (IARP), Montreal Canada, 1994.

Unrefereed conferences and symposia

Denis D. MauÃ¡, Fabio G. Cozman. Managing Trust in Virtual Communities with Markov Logic, IV Workshop on MSc Dissertation and PhD Thesis in Artificial Intelligence (WTDIA), Salvador, Brazil, 2008. Preprint available.
Victor A. Silva, Fabio G. Cozman. Markov Logic Networks for Supervised, Unsupervised and Semisupervised Learning of Classifiers. IV Workshop on MSc Dissertation and PhD Thesis in Artificial Intelligence (WTDIA), Salvador, Brazil, 2008. Preprint available.
J. S. Ide, F. G. Cozman. Algoritmos aproximados para redes credais, II Workshop de Teses e DissertaÃ§Ãµes em InteligÃªncia Artificial, 10p., SÃ£o Luis, MaranhÃ£o, Brasil, 2004. [Portuguese]
F. G. Cozman, C. P. de Campos. Local computation in credal networks, Workshop on Local Computation for Logics and Uncertainty at ECAI, pp. 5-11, 2004. Preprint available.
F. G. Cozman, C. M. Furukawa. A Reestruturação Curricular do Curso de Mecatrônica da Escola Politécnica, XXVIII Congresso Brasileiro de Ensino de Engenharia, Ouro Preto, Minas Gerais, Brazil, 2000 [Portuguese].
J. C. Adamowski, C. M. Furukawa, F. G. Cozman. Mecatrônica - Uma Abordagem Voltada a Automação Industrial, XXVIII Congresso Brasileiro de Ensino de Engenharia, Ouro Preto, Minas Gerais, Brazil, 2000 [Portuguese].
P. E. Miyagi, L. A. M. Riascos, N. Maruyama e F. G. Cozman. Modeling of Failure Treatment in Manufacturing Systems through Petri Nets, Mechatronics 98 Conference, pp. 31-36, Sweden, 1998.
F. Cozman. Control of Computational Effort through Robustness Analysis: A Study of Visual Position Estimation under Time-Critical Constraints, AAAI96 Fall Symposium Series, Flexible Computation in Intelligent Systems, pp. 19-24, 1996. Preprint available.
R. Simmons; E. Krotkov; L. Chrisman; F. Cozman; R. Goodwin; M. Hebert; G. Heredia; S. Koenig; P. Muir; Y. Shinoda and W. Wittaker. Mixed-Mode Control of Navigation for a Lunar Rover, Princeton Conference, Space Studies Institute, 1995.

Unrefereed abstracts

Ismenia Blavatsky. O uso de redes Bayesianas mistas para imputaÃ§Ã£o de dados quantitativos no Censo DemogrÃ¡fico, SINAPE, 2008.
Fabio Nakano, Martin Rittler Whittle, Fabio Gagliardi Cozman, Carlos Alberto de BraganÃ§a Pereira. Bayesian solutions in paternity testing, Bayesianismo: Fundamentos e AplicaÃ§Ãµes, p. 14, SÃ£o Paulo, SP, 2007.
A. H. Saheki, F. G. Cozman, R. Sharovsky, V. M. H. CoupÃ©. Rede Bayesiana aplicada ao diagnóstico de doenças cardíacas: construÃ§Ã£o e algoritmos, XII Encontro Brasileiro de EstatÃstica Bayesiana, p. 14, UFSCAR, SÃ£o Carlos, Brasil, 2004.
F. G. Cozman, I. Cohen, M. C. Cirelo. Semi-supervised learning and model search, Proceedings of the ICML-2003 workshop The Continuun from Labeled to Unlabeled Data in Machine Learning and Data Mining, pp. 111-112, 2003. Preprint available.
F. G. Cozman. Robust Bayesian Analysis in Artificial Intelligence, Resumos do I Congresso Bayesiano da AmÃ©rica Latina, p. 23, Ubatuba, SÃ£o Paulo, 2002.
I. B. MagalhÃ£es, F. G. Cozman. Aprendizado ativo utilizando dados classificados e não-classificados, XV Simpósio Nacional de Probabilidade e Estatística, p. 190, Lindóia, São Paulo, Brazil, 2002.
I. Blavatsky, F. G. Cozman. Avaliando o erro de classificação em aprendizado de máquina semi-supervisionado via bootstrap, XV Simpósio Nacional de Probabilidade e Estatística, p. 191, Lindóia, São Paulo, Brazil, 2002.
J. S. Ide, F. G. Cozman. Geração de redes Bayesianas por Metropolis-Hastings, XV Simpósio Nacional de Probabilidade e Estatística, p. 193, Lindóia, São Paulo, Brazil, 2002.
F. G. Cozman, J. C F. da Rocha, C. P. de Campos. Computing with Sets of Probability Measures, Workshop on Validated Computing, p. 45, Toronto, Canada, 2002. Preprint available.
R. L. S. Sartori, C. E. Barros, F G. Cozman. RoPET: um robô móvel para inspeÃ§Ã£o controlado via internet, Simpósio Internacional de Iniciação Científica da Universidade de São Paulo (9 SIICUSP - XVII CICTE), São Paulo, 2001 [Portuguese].
F. G. Cozman, P. Walley. Graphoid Properties of Epistemic Irrelevance and Independence, Workshop on Conditional Independence Structures and Graphical Models, pp. 13-14, Toronto, Canada, October 1999. Preprint available.
D. Yoshinaga; F. T. Ramos; L. E. Macca; M. Ackermann; F. G. Cozman. Veículo Controlado por Acesso Remoto para a Obtenção de Imagens Panorâmicas, VI Simpósio de Iniciação Científica da Universidade de São Paulo, Vol. 2, pp. 348, São Carlos, São Paulo, Brazil, November 1998 [Portuguese].
F. G. Cozman; P. E. Miyagi. Sistema de Trajetória de um Veículo Autônomo, 8 Congresso de Iniciação Científica e Tecnológica em Engenharia, São Carlos, SP Brazil, 1989 [Portuguese].

Technical reports

F. G. Cozman, T. Seidenfeld. Independence for full conditional measures, graphoids and Bayesian networks, Technical Report from Escola PolitÃ©cnica da USP, BT/PMR/0711, 2007.
S. do L. Pereira; L. N. de Barros, F. G. Cozman. Strong Probabilistic Planning, Technical Report from Instituto de MatemÃ¡tica e EstatÃstica da USP, RT/MAC/2007/09, 2007.
F. G. Cozman. Axiomatizing Noisy-OR, Technical Report from Escola PolitÃ©cnica da USP, BT/PMR/0409, 2004. This report is an extended version of paper presented at the European Conference on Artificial Intelligence 2004.
I. Cohen, F. G. Cozman, A. Bronstein. The Effect of Unlabeled Data on Generative Classifiers, with Application to Model Selection, HP Laboratories Technical Report HPL-2002-140, 2002.
F. G. Cozman, I. Cohen. Unlabeled Data Can Degrade Classification Performance of Generative Classifiers, HP Laboratories Technical Report HPL-2001-234, 2001. This report is the basis for a paper presented at the International Florida Artificial Society Conference, 2002.
K. Kask, R. Dechter, J. Larrosa, F. Cozman. Bucket-Tree Elimination for Automated Reasoning, ICS Technical Report R92, 2001. [Available at Rina Dechter's web site.]
I. Cohen, A. Bronstein, F. G. Cozman. Adaptive Online Learning of Bayesian Network Parameters, HP Laboratories Technical Report HPL-2001-156, 2001 (modified and improved version of the report: I. Cohen, A. Bronstein, F. G. Cozman. Online Learning of Bayesian Network Parameters, HP Laboratories Technical Report HPL-2001-55, 2001).
F. G. Cozman. Alternatives to Lavine's Algorithm for Calculation of Posterior Bounds given Convex Sets of Distributions, Technical Report CMU-RI-TR-97-38, Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States, December 1997.
F. G. Cozman. A Derivation of Quasi-Bayesian Theory, Technical Report CMU-RI-TR-97-37, Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States, December 1997.
F. Cozman and L. Chrisman. Learning Convex Sets of Probability from Data, Technical Report CMU-RI-TR-97-25, Robotics Institute, Carnegie Mellon University, Pittsburgh, 1997.
F. Cozman. An Informal Introduction to Quasi-Bayesian Theory (and Lower Probability, Lower Expectations, Choquet Capacities, Robust Bayesian Methods, etc...) for AI, Technical Report CMU-RI-TR-97-24, Robotics Institute, Carnegie Mellon University, Pittsburgh, 1997.
F. Cozman. Robustness Analysis of Bayesian Networks with Global Neighborhoods, Technical Report CMU-RI-TR-96-42, Carnegie Mellon University, Pittsburgh, 1996.
F. Cozman. Robustness Analysis of Bayesian Networks with Finitely Generated Convex Sets of Distributions, Technical Report CMU-RI-TR-96-41, Carnegie Mellon University, Pittsburgh, 1996.
F. Cozman, E. Krotkov. Line Linking with Frequentist Statistics Tools: Splitting with Chi-square Tests and Merging with the Akaike Information Criterion , Technical Report CMU-RI-TR-96-23, Carnegie Mellon University, Pittsburgh, 1996.
F. Cozman; E. Krotkov. Truncated Gaussians as Tolerance Sets, Technical Report CMU-RI-TR-94-35, Carnegie Mellon University, Pittsburgh, 1994. This report is an extended version of a paper presented at the Fifth Workshop on Artificial Intelligence and Statistics, Fort Lauderdale Florida, 1995.
M. G. Simões; J. C. Adamowski; F. G. Cozman. Sistema de Acionamento para Veículos Autônomos de Transporte, Monografia 61/91, EPUSP, São Paulo, SP Brazil, 1991 [Portuguese].
T. Mizutani; P. E. Miyagi; F. G. Cozman. Tecnologia de Posicionamento de Precisão: Mecanismos e Controle, Monografia 59/91, EPUSP, São Paulo, SP Brazil, 1991 [Portuguese].

Other publications

F. G. Cozman, E. Krotkov, C. Guestrin. VIPER - Visual Position Estimation for Rovers, Video Proceedings of the 1998 International Conference on Robotics and Automation, Leuven, Belgium, May (16-20) 1998.

Dissertations

Fabio G. Cozman Decision-Making with Convex Sets of Probability Distributions: Quasi-Bayesian Networks and Outdoor Visual Position Estimation, PhD Thesis, Carnegie Mellon University, Pittsburgh, Pennsylvania, December 1997.
Fabio G. Cozman. Controlador de Trajetória para o Robô Móvel Ariel: Solução de Controle Otimo, Tese de Mestrado (Master Thesis), Universidade de São Paulo, São Paulo, Brazil, December 1991 [Portuguese].

fgcozman@usp.br