Welcome to

Fabio Cozman's Publications Page!

fgcozman@usp.br

Here you find the whole list by publication type. You can find a list of selected publications elsewhere.

Also, if you plan to cite some of this work, please take a look at the errata!

Edited Books

  • Thomas Augustin, Fabio G. Cozman, Gregory Wheeler Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld, Springer, 2023.
  • Fabio G. Cozman, Guilherme A. Plonsky, Hugo Neri. Inteligência Artificial: Avanços e Tendências, São Paulo, Instituto de Estudos Avançados da Universidade de São Paulo, 2021.
  • Fabio G. Cozman, Thierry Denoeux, Sebastien Destercke, Teddy Seidenfeld. Proceedings of the Eight International Symposium on Imprecise Probabilities and Their Applications, Society for Imprecise Probability Theory and Applications, 2013.
  • 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

  • Ann Nicholson, Fabio G. Cozman (editors). Special issue: Applications of Bayesian Networks, International Journal of Approximate Reasoning, vol. 55, Part 1, 2014.
  • 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

  • Cordeiro, V.D., Cozman, F. (2024). Artificial Intelligence and Everyday Knowledge. In: Dunn, H.S., Ragnedda, M., Ruiu, M.L., Robinson, L., The Palgrave Handbook of Everyday Digital Life. Palgrave Macmillan, Cham., pp. 23-35. (https://doi.org/10.1007/978-3-031-30438-5_2)
  • Fabio G. Cozman. Playing with Sets of Lexicographic Probabilities and Sets of Desirable Gambles. In: Thomas Augustin; Fabio G. Cozman; Gregory Wheeler, Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld, p. 143-159, Springer, 2023.
  • Juliano Maranhão, Fabio G. Cozman, Marco Almada. Concepções de Explicação e do Direito à Explicação de Decisões Automatizadas. In: Rony Vainzof, Andriei Gutierrez, Inteligência Artificial: Sociedade, Economia e Estado, p. 137-154, Thompson Reuters, 2021.
  • Fabio Gagliardi Cozman. Languages for Probabilistic Modeling Over Structured and Relational Domains. A Guided Tour of Artificial Intelligence Research, vol. 2, chapter 9, edited by P. Marquis, O. Papini, H. Prade, Springer, 2020. Preprint available.
  • Fabio G. Cozman. Imprecise probabilities. In: Alan Hajek and Christopher Hitchcock (editors), The Oxford Handbook of Probability and Philosophy (ISBN 9780199607617), pp. 296-311, 2016.
  • Fabio G. Cozman, Rodrigo B. Polastro, Felipe I. Takiyama, and Kate C. Revoredo. Computing inferences for relational Bayesian networks based on ALC constructs. In F. Bobillo, R. N. Carvalho, P. C. G. Costa, C. d'Amato, N. Fanizzi, K. B. Laskey, K. J. Laskey, T. Lukasiewicz, M. Nickles, M. Pool (editors), Uncertainty Reasoning for the Semantic Web III: ISWC International Workshops, URSW 2011-2013, Revised Selected Papers (ISBN: 978-3-319-13412-3), pp. 21-40, 2014. Preprint available.
  • 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 Papers

  • Marlon S. Mathias, Caio F. D. Netto, Felipe M. Moreno, Jefferson F. Coelho, Lucas P. de Freitas, Marcel R. de Barros, Pedro C. de Mello, Marcelo Dottori, Fabio G. Cozman, Anna H. R. Costa, Alberto C. Nogueira Junior, Edson S. Gomi, Eduardo A. Tannuri. A Physics-Informed Neural Operator for the Simulation of Surface Waves. Journal of Offshore Mechanics and Arctic Engineering, 146(6):061201 (10 pages), 2024. Available at https://doi.org/10.1115/1.4064676
  • Gustavo A. Bisinotto, Pedro C. de Mello, Fabio G. Cozman, Eduardo A. Tannuri. Motion-Based Wave Inference With Neural Networks: Transfer Learning From Numerical Simulation to Experimental Data. J. Offshore Mech. Arct. Eng., 146(5): 051204 - Paper No: OMAE-23-1115, 2024. Available at https://doi.org/10.1115/1.4064618
  • Marcelo Archanjo José, Fabio Gagliardi Cozman. A multilingual translator to SQL with database schema pruning to improve self-attention. International Journal of Information Technology, Volume 15, pages 3015–3023, (2023). Available here.
  • Cristina Godoy B. de Oliveira, Fabio G. Cozman, João Paulo C. Veiga. This hot AI summer will impact Brazil’s democracy, Nature Human Behaviour, volume 7, pag. 1842–1844, 2023. Available here.
  • Felipe M. Moreno, Eduardo A. Tannuri, Fabio G. Cozman. Automatic Clustering of Metocean Conditions on the Brazilian Coast Journal of Offshore Mechanics and Arctic Engineering, 145(4): 041202, 2023. Available at https://doi.org/10.1115/1.4056618.
  • Gustavo A. Bisinotto, João V. Sparano, Alexandre N. Simos, Fabio G. Cozman, Marcos D. Ferreira, Eduardo A. Tannuri. Sea state estimation based on the motion data of a moored FPSO using neural networks: An evaluation with multiple draft conditions. Ocean Engineering, 276 (2023) 114235 Available here.
  • Hugo Neri, Fabio Cozman. Pay Attention: Theh high-speed evolution of NLP, and where it hits a wall. Revista da Universidade Federal de Minas Gerais, vol. 30, 2023. (doi 10.35699/2965-6931.2023.47510) Available here.
  • João Figueiredo Nobre Brito Cortese, Fabio G. Cozman, Marcos Paulo Lucca-Silveira, Adriano Figueiredo Bechara. Should explainability be a fifth ethical principle in AI ethics? AI and Ethics, 2022. Preprint available.
  • Gregory Wheeler, Fabio G. Cozman. On the imprecision of full conditional probabilities. Synthese, 199;3761-3782, 2021. Preprint available.
  • Fabio G. Cozman, Hugo Neri Munhoz. Some thoughts on knowledge-enhanced machine learning. International Journal of Approximate Reasoning, 136:308-324, 2021. Preprint available.
  • Emerson Cruz, Fabio G. Cozman, Wilson Souza, Albertina Takiuti. The impact of teenage pregnancy on school dropout in Brazil: a Bayesian network approach. BMC PUBLIC HEALTH, 21:1850, 2021. Preprint available.
  • Fabio G. Cozman. No canal da Inteligência Artificial - Nova temporada de desgrenhados e empertigados. Estudos Avançados, 35:7-20, 2021. Preprint available.
  • Fabio G. Cozman. Graphoid properties of concepts of independence for sets of probabilities. International Journal of Approximate Reasoning, 131:56-79, 2021. Preprint available.
  • Bruno Moreschi, Gabriel Pereira, Fabio G. Cozman. The Brazilian Workers in Amazon Mechanical Turk: Dreams and realities of ghost workers. Revista Contracampo. 39:44-64, 2020. Preprint available.
  • José Amêndola, Lucas S. Miura, Anna H. Reali Costa, Fabio G. Cozman, Eduardo A. Tannuri. Navigation in restricted channels under environmental conditions: Fast-time simulation by asynchronous deep reinforcement learning. IEEE Access, 8:149199-149213, 2020. Preprint available.
  • Denis D. Mauá, Fabio G. Cozman. Thirty years of credal networks: Specification, algorithms and complexity. International Journal of Approximate Reasoning, 126:133-157, 2020. Preprint available.
  • Fabio G. Cozman, Denis D. Mauá. The joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference. International Journal of Approximate Reasoning, 125:218-239, 2020. Preprint available.
  • Denis Deratani Maua, Fabio Gagliardi Cozman. Complexity results for probabilistic answer set programming. International Journal of Approximate Reasoning, 118:133-154, 2020. Preprint available. (This paper supercedes, and in a few cases corrects, material published in ECSQARU2017.)
  • Hugo Neri Munhoz, Fabio Gagliardi Cozman. The role of experts in the public perception of risk of artificial intelligence. AI and Society, Online November 2019. Preprint available.
  • Fabio Gagliardi Cozman, Denis Deratani Maua. The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws. International Journal of Approximate Reasoning, 110:107-126, 2019. Preprint available.
  • Francisco H.O.Vieira de Faria, Arthur Colombini Gusmao, Glauber De Bona, Denis Deratani Maua, Fabio Gagliardi Cozman. Speeding up parameter and rule learning for acyclic probabilistic logic programs. International Journal of Approximate Reasoning, 106:32-50, 2019. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. The complexity of Bayesian networks specified by propositional and relational languages, Artificial Intelligence, 262:96-141, 2018. Preprint available.
  • Fabio G. Cozman Evenly convex credal sets. International Journal of Approximate Reasoning, 103:124-138, 2018. Preprint available.
  • Denis D. Maua, Diarmaid Conaty, Fabio G. Cozman, Katja Poppenhaeger, Cassio Polpo de Campos. Robustifying sum-product networks. International Journal of Approximate Reasoning, 101:163-180, 2018. Preprint available.
  • Glauber de Bona, Fabio G. Cozman. On the coherence of probabilistic relational formalisms. Entropy, 20(4):229/1-229/24, 2018. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. On the semantics and complexity of probabilistic logic programs. Journal of Artificial Intelligence Research, 60:221-262, 2017. Article available.
  • Fabio G. Cozman, Denis D. Maua. On the complexity of propositional and relational credal networks. International Journal of Approximate Reasoning, 83:298-319, 2017. Preprint available.
  • Denis D. Maua, Fabio G. Cozman. The effect of combination functions on the complexity of relational Bayesian networks. International Journal of Approximate Reasoning, 85:178-195, 2017. Preprint available.
  • Denis D. Maua, Fabio G. Cozman. Fast local search methods for solving limited memory influence diagrams. International Journal of Approximate Reasoning, 68:230-245, 2016. Preprint available.
  • Paulo E. Santos, Murilo F. Martins, Valquiria Fenelon, Fabio G. Cozman, Hannah M. Dee. Probabilistic self-localisation on a qualitative map based on occlusions. Journal of Experimental and Theoretical Artificial Intelligence, 28:781-799, 2016. Preprint available.
  • Fabio G. Cozman, Lucas F. di Ianni. Probabilistic satisfiability and coherence checking through integer programming. International Journal of Approximate Reasoning, 58:57--70, 2015. Preprint available.
  • Glauber De Bona, Fabio G. Cozman, Marcelo Finger. Generalized probabilistic satisfiability through integer programming. Journal of the Brazilian Computer Society, 21:11, 2015. Preprint available.
  • Valdinei Freire, Flavio S. Truzzi, Anna H. Reali Costa, Fabio G. Cozman. Evaluation of linear relaxations in Ad Network optimization for online marketing. Journal of the Brazilian Computer Society, 21:13, 2015. Preprint available.
  • Glauber de Bona, Fabio G, Cozman, Marcelo Finger. Towards classifying propositional probabilistic logics. Journal of Applied Logic, 12(3):349-368, 2014. Preprint available.
  • Fabio G. Cozman. Learning imprecise probability models: Conceptual and practical challenges. International Journal of Approximate Reasoning, 55:1594-1596, 2014. Preprint available.
  • Fabio G. Cozman, Cassio Polpo de Campos. Kuznetsov independence for interval-valued expectations and sets of probability distributions: properties and algorithms. International Journal of Approximate Reasoning, 55:666-682, 2014. (DOI: 10.1016/j.ijar.2013.09.013). 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, vol. 19, pp. 3-13, 2013. (DOI: 10.1007/s13173-012-0081-7) Preprint available.
  • Valquiria Fenelon, Paulo E. Santos, Hannah M. Dee and Fabio G. Cozman. Reasoning about shadows in a mobile robot environment. Applied Intelligence, 38(4):553-565, 2013. (DOI: 10.1007/s10489-012-0385-5) Preprint available.
  • Fabio G. Cozman. Independence for full conditional probabilities: Structure, factorization, non-uniqueness, and Bayesian networks. International Journal of Approximate Reasoning, 54:1261-1278, 2013. Preprint available.
  • Jose Eduardo Ochoa Luna, Kate Revoredo, Fabio Gagliardi Cozman. Link prediction using a probabilistic description logic. Journal of the Brazilian Computer Society, 19:397-409, 2013. Preprint available.
  • Fabio G. Cozman. Sets of probability distributions, independence, and convexity. Synthese, 186(2):577-600, 2012. 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 inferência 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; note the errata for this paper!
  • 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; note the errata for this paper!
  • 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].

    • Conference Papers

  • Marcel Barros; Andressa Pinto; Andres Monroy; Felipe Moreno; Jefferson Coelho; Aldomar Pietro Silva; Caio Fabricio Deberaldini Netto; José Roberto Leite; Marlon Mathias; Eduardo Tannuri; Artur Jordao; Edson Gomi; Fabio Cozman; Marcelo Dottori; Anna Helena Reali Costa. Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing. AAAI, 2024. Preprint available.
  • Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander Gray. Credal Marginal MAP. Advances in Neural Information Processing Systems - NeurIPS, vol. 36, pp. 47804-47815, 2023. Available here; preprint available.
  • Denis Deratani Mauá, Fabio Gagliardi Cozman. Specifying credal sets with probabilistic answer set programming. Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications, PMLR 215:321-332, 2023. Available here; preprint available.
  • Fabio Gagliardi Cozman. Markov conditions and factorization in logical credal networks. Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications, PMLR 215:130-140, 2023. Available here; preprint available.
  • Felipe Marino Moreno, Jefferson Fialho Coelho, Marlon Sproesser Mathias, Marcel Rodrigues de Barros, Caio Fabricio Deberaldini Netto, Lucas Palmiro de Freitas, Marcelo Dottori, Fábio Gagliardi Cozman, Anna Helena Reali Costa, Edson Satoshi Gomi, Eduardo Aoun Tannuri. Echo State Networks for Surface Current Forecasting in a Port Access Channel. Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. Volume 5: Ocean Engineering. Melbourne, Australia. June 11–16, 2023. V005T06A056. ASME. Available at https://doi.org/10.1115/OMAE2023-103265
  • Gustavo Alencar Bisinotto, Pedro Cardozo de Mello, Fabio Gagliardi Cozman, Eduardo Aoun Tannuri. Motion-Based Wave Inference With Neural Networks: Transfer Learning From Numerical Simulation To Experimental Data. Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. Volume 1: Offshore Technology. Melbourne, Australia. June 11–16, 2023. V001T01A013. ASME. Available at https://doi.org/10.1115/OMAE2023-101967
  • Jefferson Fialho Coelho, Marcel Rodrigues de Barros, Caio Fabricio Deberaldini Netto, Felipe Marino Moreno, Lucas Palmiro de Freitas, Marlon Sproesser Mathias, Fábio Gagliardi Cozman, Marcelo Dottori, Edson Satoshi Gomi, Eduardo Aoun Tannuri, Anna Helena Reali Costa. Modeling Oceanic Variables With Graph-Guided Networks for Irregularly Sampled Multivariate Time Series. Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. Volume 5: Ocean Engineering. Melbourne, Australia. June 11–16, 2023. V005T06A058. ASME. Available at https://doi.org/10.1115/OMAE2023-104603
  • Marlon Sproesser Mathias, Caio Fabricio Deberaldini Netto, Felipe Marino Moreno, Jefferson Fialho Coelho, Lucas Palmiro de Freitas, Marcel Rodrigues de Barros, Pedro Cardozo de Mello, Marcelo Dottori, Fábio Gagliardi Cozman, Anna Helena Reali Costa, Alberto Costa Nogueira Junior, Edson Satoshi Gomi, Eduardo Aoun Tannuri. A Physics-Informed Neural Operator for the Simulation of Surface Waves. Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. Melbourne, Australia. June 11–16, 2023. V007T08A013. ASME. Available at https://doi.org/10.1115/OMAE2023-104950
  • Hugo Neri, Fabio G. Cozman Who Killed the Winograd Schema Challenge? Intelligent Systems: 12th Brazilian Conference, September 25–29, 2023, Proceedings - Part III, pp. 211–225, Springer 2023. Available at https://doi.org/10.1007/978-3-031-45392-2_14; preprint available.
  • Vinícius Bitencourt Matos, Ricardo Grava, Rodrigo Tavares, Marcos Menon José, Paulo Pirozelli, Anarosa A. F. Brandão, Sarajane M. Peres, Fábio G. Cozman. Coordination within Conversational Agents with Multiple Sources. Anais do XX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2023), pp. 939-953, 2023. Available at https://sol.sbc.org.br/index.php/eniac/article/view/25755; preprint available.
  • Ais B. R. Castro, Sarajane M. Peres, Waldyr L. de Freitas Junior, Paulo Pirozelli, Fábio G. Cozman, Anarosa A. F. Brandão. A strategy for interpreting and visualizing the results of matrix-trifactorization-based coclustering algorithms. Anais do XX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2023), pp. 839-853, 2023. Available at https://sol.sbc.org.br/index.php/eniac/article/view/25748; preprint available.
  • Renato L Geh, Jonas L Goncalves, Igor Silveira, Denis D Maua, Fabio Cozman. dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning. Workshop on Knowledge and Logical Reasoning in the Era of Data-driven Learning (Workshop at ICML2023), pp. 1-11, 2023. Preprint available.
  • Felipe Marino Moreno, Eduardo Aoun Tannuri, Fabio Gagliardi Cozman. Automatic clustering of metocean conditions in the Brazilian coast. 41st Ocean, Offshore and Arctic Engineering Conference (OMAE), pp. 1-10, 2022. Preprint available.
  • Gustavo Alencar Bisinotto, Lucas P. Cotrim, Fabio Gagliardi Cozman, Eduardo Aoun Tannuri. Assessment of sea state estimation with convolutional neural networks based on the motion of a moored FPSO subjected to high‑frequency wave excitation. 41st Ocean, Offshore and Arctic Engineering Conference (OMAE), pp. 1-10, 2022. Preprint available.
  • Felipe Marino Moreno, Luiz A. Schiaveto Neto, Fabio Gagliardi Cozman, Marcelo Dottori, Eduardo Aoun Tannuri. Enhancing forecast of ocean physical variables through physics informed machine learning in the Santos estuary, Brazil. OCEANS - Chennai Conference, pp. 1-7, 2022. Preprint available.
  • Marcos Menon José, Marcelo Archanjo José, Denis D. Maua, Fabio G. Cozman. Integrating question answering and text-to-SQL in Portuguese. 15th International Conference on Computational Processing of the Portuguese Language (PROPOR 2022), pp. 278-287, 2022. Preprint available.
  • Victor Hugo Nascimento Rocha, Fabio Gagliardi Cozman. A credal least undefined stable semantics for probabilistic logic programs and probabilistic argumentation. 19th International Conference on Principles of Knowledge Representation and Reasoning (KR), pp. 1-10, 2022. Preprint available.
  • Victor Hugo Nascimento Rocha, Fabio Gagliardi Cozman. Bipolar argumentation frameworks with explicit conclusions: Connecting argumentation and logic programming. International Workshop on Non-Monotonic Reasoning (NMR), pp. 1-10, 2022. Preprint available.
  • Yan Vianna Sym, João Gabriel Moura Campos, Fabio Gagliardi Cozman. BLAB Reporter: Automated journalism covering the Blue Amazon. International Natural Language Generation Conference (INLG), pp. 1-3, 2022. Preprint available.
  • Paulo Pirozelli, Ais B. R. Castro, Ana Luiza C. de Oliveira, André Seidel Oliveira, Flávio Nakasato Cação, Igor C. Silveira, João Gabriel Moura Campos, Laura C. Motheo, Leticia F. Figueiredo, Lucas F. A. O. Pellicer, Marcelo Archanjo José, Marcos Menon José, Pedro de M. Ligabue, Ricardo S. Grava, Rodrigo M. Tavares, Vinicius B. Matos, Yan Vianna Sym, Anna Helena Reali Costa, Anarosa A. F. Brandão, Denis D. Maua, Fabio Gagliardi Cozman, Sarajane M. Peres. The BLue Amazon Brain (BLAB): A modular architecture of services about the Brazilian Maritime Territory. JCAI Workshop: AI Modeling Oceans and Climate Change (AIMOCC 2022), pp. 1-11, 2022. Preprint available.
  • Marlon S. Mathias, Marcel R. de Barros, Jefferson F. Coelho, Lucas P. de Freitas, Felipe Marino Moreno, Caio Fabricio Deberaldini Netto, Fabio Gagliardi Cozman, Anna Helena Reali Costa, Eduardo Aoun Tannuri, Edson Satoshi Gomi, Marcelo Dottori. A physics-informed neural network to model port channels. IJCAI Workshop: AI Modeling Oceans and Climate Change (AIMOCC 2022), pp. 1-9, 2022. Preprint available.
  • Caio Fabricio Deberaldini Netto, Marcel R. de Barros, Jefferson F. Coelho, Lucas P. de Freitas, Marlon S. Mathias, Luiz A. Schiaveto Neto, Marcelo Dottori, Fabio Gagliardi Cozman, Anna Helena Reali Costa, Edson Satoshi Gomi, Eduardo Aoun Tannuri. Modeling oceanic variables with dynamic graph neural networks. IJCAI Workshop: AI Modeling Oceans and Climate Change (AIMOCC 2022), pp. 1-10, 2022. Preprint available.
  • Felipe Marino Moreno, Caio Fabricio Deberaldini Netto, Marcel R. de Barros, Jefferson F. Coelho, Lucas P. de Freitas, Marlon S.Mathias, Luiz A. Schiaveto Neto, Marcelo Dottori, Fabio Gagliardi Cozman, Anna Helena Reali Costa, Edson Satoshi Gomi, Eduardo Aoun Tannuri. Enhancing oceanic variables forecast in the Santos Channel by estimating model error with random forests. IJCAI Workshop: AI Modeling Oceans and Climate Change (AIMOCC 2022), pp. 1-10, 2022. Preprint available.
  • Yan Vianna Sym, João Gabriel Moura Campos, Marcos Menon José, Fabio Gagliardi Cozman. Comparing computational architectures for automated journalism. XIX Encontro Nacional de Inteligência Artificial e Computacional, pp. 377-388, 2022. Preprint available.
  • Marlon S. Mathias, Wesley P. Almeida, Jefferson F. Coelho, Lucas P. de Freitas, Felipe Marino Moreno, Caio Fabricio Deberaldini Netto, Fabio Gagliardi Cozman, Anna Helena Reali Costa, Eduardo Aoun Tannuri, Marcelo Dottori. Augmenting a physics-informed neural network for the 2D Burgers equation by addition of solution data points. Brazilian Conference on Intelligent Systems (BRACIS), v. 2. pp. 388-401, 2022. Preprint available.
  • Pedro de M. Ligabue, Anarosa A. F. Brandão, Sarajane M. Peres, Fabio Gagliardi Cozman, Paulo Pirozelli. BlabKG: a Knowledge Graph for the Blue Amazon. IEEE International Conference on Knowledge Graph (ICKG), pp. 1-8, 2022. Preprint available.
  • Paulo Pirozelli, Anarosa A. F. Brandão, Sarajane M. Peres, Fabio Gagliardi Cozman. To Answer or not to Answer? Filtering questions for QA systems. Brazilian Conference on Intelligent Systems (BRACIS), v. 2. p. 464-478, 2022. Preprint available.
  • André F. A. Paschoal, Paulo Pirozelli, Valdinei F. da Silva, Karina Valdivia Delgado, Sarajane M. Peres, Marcos Menon José, Flávio Nakasato Cação, André Seidel Oliveira, Anarosa A. F. Brandão, Anna Helena Reali Costa, Fabio Gagliardi Cozman. Pirá: A bilingual Portuguese-English dataset for question-answering about the ocean. Proceedings of CIKM, pp. 1-10, 2021. Preprint available.
  • Glauber de Bona, Victor Hugo Nascimento Rocha, Fabio Gagliardi Cozman. Epistemic argumentation with conditional probabilities and labeling constraints. International Symposium on Imprecise Probabilities Theories and Applications, pp. 100-109, 2021. Preprint available.
  • Flavio Pol Gonçalves, Vinícius Cleves de Oliveira Carmo, Vinícius Toquetti de Melo, Rodrigo da Silva Cunha, Ismael H. F. Santos, Rodrigo Augusto Barreira, Carlos Eduardo Cugnasca, Fabio Gagliardi Cozman, Edson Satoshi Gomi. Semantic search in Offshore Engineering with linguistic and neural processing pipelines. 41st International Conference on Ocean, Offshore and Arctic Engineering, pp. 1-9, 2021. Preprint available.
  • Vinicius Cleves de Oliveira Carmo, Vinicius Toquetti de Melo, Flavio Pol Gonçalves, Rodrigo da Silva Cunha, Ismael Ferreira dos Santos, Rodrigo Augusto Barreira, Fabio Gagliardi Cozman, Edson Satoshi Gomi. Comparing statistical and neural question answering in Offshore Enginnering. 42nd Ibero-Latin-American Congress on Computational Methods in Engineering (XLII CILAMCE), pp. 1-7, 2021. Preprint available.
  • Stefano Spindola, Marcos Menon Jose, André Seidel Oliveira, Flávio Nakasato, Fabio Gagliardi Cozman. Interpretability of attention mechanisms in a Portuguese-based question answering system about the Blue Amazon. Encontro Nacional de Inteligência Artificial (ENIAC), pp. 775-786, 2021. Preprint available.
  • Bernardo Gonçalves, Fabio Gagliardi Cozman. The future of AI: Neat or scruffy? Brazilian Conference on Intelligent Systems, v. 2. pp. 177-192, 2021. Preprint available.
  • Sarah Pires Perez, Fabio Gagliardi Cozman. How to generate synthetic paintings to improve art style classification. Brazilian Conference on Intelligent Systems, v. 2. pp. 238-253, 2021. Preprint available.
  • Marcelo Archanjo José, Fabio Gagliardi Cozman. mRAT-SQL+GAP: A Portuguese Text-to-SQL transformer. Brazilian Conference on Intelligent Systems, v. 2. pp. 511-525, 2021. Preprint available.
  • Flávio Nakasato Cação, Marcos Menon José, André Seidel Oliveira, Stefano Spindola, Anna Helena Reali Costa, Fabio Gagliardi Cozman. DEEPAGÉ: Answering questions in Portuguese about the Brazilian environment. Brazilian Conference on Intelligent Systems, v. 2, pp. 419-433, 2021. Preprint available.
  • Gustavo A. Bisinotto, Lucas P. Cotrim, Fabio Gagliardi Cozman, Eduardo Aoun Tannuri. Sea state estimation with neural networks based on the motion of a moored FPSO subjected to Campos Basin metocean conditions. Brazilian Conference on Intelligent Systems, v. 2, pp. 294-308, 2021 Preprint available.
  • Didiana Prata, Fabio G. Cozman, Gustavo Padilha Polleti. Using AI to classify Instagram's dissident images Conference of the International Committee of Design History and Design Studies, pp. 1-14, 2020. Preprint available.
  • Gustavo Padilha Polleti, Douglas Luan de Souza, Fabio G. Cozman. Why should I not follow you? Reasons for and reasons against in responsible recommender systems. 3rd FAccTRec Workshop on Responsible Recommendation at RecSys, pp. 1-6., 2020. Preprint available.
  • André Luiz Rosa Teixeira, João Gabriel Moura Campos, Rossana Cunha, Thiago Castro Ferreira, Adriana Silvino Pagano, Fabio G. Cozman. DaMata: A robot-journalist covering the Brazilian Amazon deforestation. International Conference on Natural Language Generation, pp. 103-106, 2020. Preprint available.
  • Caio F. Deberaldini Netto, Eduardo A. Tannuri, Denis D. Mauá, Fabio G. Cozman. Prediction of environmental conditions for maritime navigation using a network of sensors: A practical application of graph neural networks. Symposium on Knowledge Discovery, Mining and Learning (KDMILE) pp. 1-8, 2020. Preprint available.
  • Alexandre Hoppe Inoue, Marcus Vinicius de Alvarenga Prado, Fabio G. Cozman. Automated emergency room triage: Helping patients get the best treatment. Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), pp. 591-602, 2020. Preprint available.
  • Fabio G. Cozman, Hugo Neri. The Winograd schemas from hell. Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), pp. 531-542, 2020. Preprint available.
  • João Gabriel M. Campos, André L. Rosa Teixeira, Thiago Castro Ferreira, Fabio G. Cozman, Adriana Silvino Pagano. Towards fully automated news reporting in Brazilian Portuguese. Encontro Nacional de Inteligência Artificial e Computacional (ENIAC) pp. 543-554, 2020. Preprint available.
  • Gustavo Padilha Polleti, Hugo Neri Munhoz, Fabio Gagliardi Cozman. Explanations within Conversational Recommendation Systems: Improving Coverage through Knowledge Graph Embeddings. AAAI Workshop on Interactive and Conversational Recommendation Systems, 2020. Preprint available.
  • Andrey Ruschel, Arthur Colombini Gusmão, Gustavo Padilha Polleti, Fabio Gagliardi Cozman. Explaining completions produced by embeddings of knowledge graphs, European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pp. 324-335, 2019. Preprint available.
  • Gustavo Padilha Polleti, Fabio Gagliardi Cozman. Explaining Content-based Recommendations with Topic Models, Brazilian Conference on Intelligent Systems, pp. 794-799, 2019. Preprint available.
  • Gustavo Padilha Polleti, Fabio Gagliardi Cozman. Faithfully Explaining Predictions of Knowledge Embeddings, Encontro Nacional de Inteligencia Artificial, pp. 1-12, 2019. Preprint available.
  • Juliana Cesaro, Fabio G. Cozman Measuring Unfairness through Game-Theoretic Interpretability ECML PKDD Joint International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, September 2019. Preprint available.
  • Rodrigo Monteiro de Aquino, Fabio Gagliardi Cozman. Natural language explanations of classifier behavior, IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering, pp. 239-242, 2019. Preprint available.
  • Fabio Gagliardi Cozman. The joy of probabilistic answer set programming, International Symposium on Imprecise Probabilities: Theories and Applications, Proceedings of Machine Learning Research, pp. 91-101, 2019. Preprint available.
  • Fabio Gagliardi Cozman. Semi-graphoid properties of variants of epistemic independence based on regular conditioning, International Symposium on Imprecise Probabilities: Theories and Applications, Proceedings of Machine Learning Research, pp. 102-110, 2019. Preprint available.
  • Jose Amendola Netto Andrade, Eduardo Arun Tannuri, Fabio G. Cozman, Anna Helena Reali Costa. Port channel navigation subject to environmental conditions using reinforcement learning. ASME 2019 International Conference on Ocean, Offshore and Arctic Engineering, pp. 1-10, 2019. Preprint available.
  • Joao Marcos Correia Marques, Fabio Gagliardi Cozman, Ismael Humberto Ferreira dos Santos. Automatic Summarization of Technical Documents in the Oil and Gas Industry. Brazilian Conference on Intelligent Systems (BRACIS), pp. 431-436, 2019. Preprint available.
  • Thiago Ferreira Ferraz, Gabriel A. B. A. Ferreira, Fabio Gagliardi Cozman, Ismael Humberto Ferreira dos Santos. Sentence Classification and Information Retrieval for Petroleum Engineering. Encontro Nacional de Inteligência Artificial, pp. 1-12, 2019. Preprint available.
  • Gabriela Souza de Melo, Vinicius A. Imaizumi, Fabio Gagliardi Cozman. Winograd Schemas in Portuguese. Encontro Nacional de Inteligencia Artificial, pp. 1-12, 2019. Preprint available.
  • Leonardo Felizardo, Roberth Oliveira, Emilio Del-Moral Hernandez and Fabio Cozman. Comparative study of Bitcoin price prediction using WaveNets, Recurrent Neural Networks and other Machine Learning Methods. The 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing, 2019. Preprint available.
  • Alvaro H. C. Correia, Jorge L. M. Silva, Thiago C. Martins, Fabio G. Cozman. A Fully Attention Based Information Retriever. International Joint Conference on Neural Networks (IJCNN), pp. 2799-2806, 2018. Preprint available.
  • Fabio Gagliardi Cozman, Denis Deratani Maua. The Finite Model Theory of Bayesian Networks: Descriptive Complexity. International Joint Conference on Artificial Intelligence (selected for the Best Sister Conferences track from published paper in ECSQARU2017), pp. 5229-5233, 2018. Preprint available.
  • Arthur Colombini Gusmao, Alvaro Henrique Chaim Correia, Glauber de Bona, Fabio Gagliardi Cozman. Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach. ICML Workshop on Human Interpretability in Machine Learning, pp. 79-86, 2018. Preprint available.
  • Jose Amendola, Eduardo A. Tannuri, Fabio G. Cozman, Anna H. Reali Costa. Batch Reinforcement Learning of Feasible Trajectories in a Ship Maneuvering Simulator. Anais do Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC), pp. 263-274, 2018. Preprint available.
  • Fabio G. Cozman. Evenly convex credal sets. Int. Conf. on Imprecise Probabilities: Theories and Applications (Proc. of Machine Learning Research vol. 62), pp. 109-120, 2017. Paper available.
  • Thiago P. Bueno, Denis D. Maua, Leliane N. de Barros, Fabio G. Cozman. Modeling Markov Decision Processes with imprecise probabilities using probabilistic logic programming. Int. Conf. on Imprecise Probabilities: Theories and Applications (Proc. of Machine Learning Research vol. 62), pp. 49-60, 2017. Paper available.
  • Denis D. Maua, Fabio G. Cozman, Diarmaid Conaty, Cassio Polpo de Campos. Credal sum-product networks. Int. Conf. on Imprecise Probabilities: Theories and Applications (Proc. of Machine Learning Research vol. 62), pp. 205-216, 2017. Paper available.
  • Fabio G. Cozman, Denis D. Maua. The descriptive complexity of Bayesian network specifications. Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Computer Science, vol. 10369, pp. 93-103, 2017. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. The complexity of inferences and explanations in probabilistic logic programming. Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Computer Science, vol. 10369, pp. 449-458, 2017. Preprint available.
  • Vieira de Faria, Francisco H. Otte, Fabio G. Cozman, Denis D. Maua. Closed-form solutions in learning probabilistic logic programs by exact score maximization. Scalable Uncertainty Management, Lecture Notes in Computer Science, vol. 10564, pp. 119-133, 2017. Preprint available.
  • Francisco H. O. Vieira de Faria, Arthur C. Gusmao, Glauber De Bona, Denis D. Maua, Fabio G. Cozman. Parameter learning in ProbLog with probabilistic rules. Symposium on Knowledge Discovery, Mining and Learning (KDMILE), pp. 27-34, 2017. Preprint available.
  • Luiz Henrique Mormille, Fabio G. Cozman. Learning probabilistic relational models: A simplified framework, a case study, and a package. Symposium on Knowledge Discovery, Mining and Learning (KDMILE), pp. 129-136, 2017. Preprint available.
  • Francisco H. O. Vieira de Faria, Arthur C. Gusmao, Fabio G. Cozman, Denis D. Maua. Speeding-up ProbLog's parameter learning (Extended Abstract). International Workshop on Statistical Relational AI (StarAI), 2017. Preprint available.
  • Glauber De Bona, Fabio G. Cozman. Encoding the consistency of relational Bayesian networks. Encontro Nacional de Inteligencia Artificial e Computacional, 2017. Preprint available.
  • Rogerio Bonatti, Arthur G. de Paula, Victor S. Lamarca, Fabio G. Cozman. Effect of part-of-speech and lemmatization filtering in email classification for automatic reply. The Workshops of the Thirtieth AAAI Conference on Artificial Intelligence: Knowledge Extraction from Text, Technical Report WS-16-10, AAAI Press, pp. 496-501, 2016. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. The structure and complexity of credal semantics. Proceedings of the 3rd International Workshop on Probabilistic Logic Programming, pp. 3-14, 2016. Preprint available.
  • Denis D. Maua, Fabio G. Cozman. The effect of probability formulas on the complexity of Relational Bayesian Networks. JMLR Workshop and Conference Proceedings: Eighth International Conference on Probabilistic Graphical Models, Volume 52, pp. 333-344, 2016. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. Probabilistic graphical models specified by probabilistic logic programs: semantics and complexity results. JMLR Workshop and Conference Proceedings: Eighth International Conference on Probabilistic Graphical Models, Volume 52, pp. 110-122, 2016. Preprint available.
  • Bruno Sguerra, Fabio G. Cozman. Image classification using sum-product networks for autonomous flight of micro aerial vehicles. Brazilian Conference on Intelligent Systems (BRACIS), 2016. Preprint available.
  • Thiago Bueno, Denis D. Maua, Leliane N. de Barros, Fabio G. Cozman. Markov Decision Processes specified by probabilistic logic programming: representation and solution. Brazilian Conference on Intelligent Systems (BRACIS), 2016. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. The well-founded semantics of cyclic probabilistic logic programs: meaning and complexity. XIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), pp. 157-168, 2016. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. Bayesian networks specified using propositional and relational constructs: Combined, data, and domain complexity. AAAI Conference on Artificial Intelligence, pp. 3519-3525, 2015. Preprint available.
  • Denis D. Maua, Cassio Polpo de Campos, Fabio G. Cozman: The complexity of MAP inference in Bayesian networks specified through logical languages. Int. Joint Conference on Artificial Intelligence, pp. 889-895, 2015. Preprint available.
  • Fabio G. Cozman. Some remarks on sets of lexicographic probabilities and sets of desirable gambles. International Symposium on Imprecise Probability: Theories and Applications, pp. 87-96, 2015. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. On the complexity of propositional and relational credal networks. International Symposium on Imprecise Probability: Theories and Applications, pp. 97-106, 2015. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. The complexity of plate probabilistic models. Int. Conf. on Scalable Uncertainty Management, pp. 36-49, 2015. Preprint available.
  • Denis D. Maua, Fabio G. Cozman. DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model. Int. Conf. on Scalable Uncertainty Management, pp. 50-64, 2015. Preprint available.
  • Denis D. Maua, Fabio G. Cozman. A tractable class of model couting problems. Encontro Nacional de Inteligencia Artificial e Computacional, 2015. Preprint available.
  • Fabio H. S. Machado, Denis D. Maua, Fabio G. Cozman. Bayesian networks of bounded treewith: a performance analysis. Encontro Nacional de Inteligencia Artificial e Computacional, 2015. Preprint available.
  • Fabio G. Cozman, Denis D. Maua. Specifying probabilistic relational models with description logics. Encontro Nacional de Inteligencia Artificial e Computacional, 2015. Preprint available.
  • Walter M. Toro, Fabio G. Cozman, Kate C. Revoredo, Anna H. Reali Costa. Probabilistic relational reasoning in semantic robot navigation. International Workshop on Uncertainty Reasoning for the Semantic Web (Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web), pp. 37-48, 2014. Preprint available.
  • Felipe I. Takiyama, Fabio G. Cozman. Inference with aggregation parfactors: Lifted elimination with first-order d-separation. Brazilian Conference on Intelligent Systems (BRACIS), pp. 1-6, 2014. Preprint available.
  • Denis Deratani Maua, Fabio Gagliardi Cozman. Speeding up k-neighborhood local search in limited memory influence diagrams. in L. C. van der Gaag and A. J. Feelders (editors), Probabilistic Graphical Models: 7th European Workshop (PGM 2014), LNAI 8754, pp. 334-349, Springer, 2014. Preprint available.
  • Jose A. Gurzoni Jr., Fabio G. Cozman, Murilo F. Martins, Paulo E. Santos. Logic-probabilistic model for event recognition in a robotic search and rescue scenario. IEEE International Conference on Systems, Man, and Cybernetics, pp. 1726-1731, 2014. Preprint available.
  • Karina V. Delgado, Leliane N. de Barros, Scott Sanner, Fabio G. Cozman. Factored Markov decision process with imprecise transition probabilities. in Andrey Kolobov, Ugur Kuter, Florent Teichteil-Knigsbuch (editores), Proceedings of the 1st Workshop on Models and Paradigms for Planning under Uncertainty: a Broad Perspective, pp. 5-10, 2014. Preprint available.
  • Jose A. Gurzoni Jr, Paulo E. Santos, Murilo F. Martins, Fabio G. Cozman. Probabilistic logic for multi-robot event recognition. IEEE International Symposium on Safety, Security, and Rescue Robotics, 2013.
  • Marcelo Li Koga, Valdinei Freire da Silva, Fabio Gagliardi Cozman, Anna Helena Reali Costa. Speeding-up reinforcement learning through abstraction and transfer learning. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2013. Preprint available.
  • Fabio Gagliardi Cozman, Lucas Fargoni di Ianni. Probabilistic satisfiability and coherence checking through integer programming. Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU) pp 145-156, 2013. Preprint available.
  • Fabio G.Cozman. Independence for sets of full conditional measures, sets of lexicographic probabilities, and sets of desirable gambles. International Symposium on Imprecise Probability: Theories and Applications, pp. 87-98, 2013. Preprint available.
  • C. P. de Campos and F. G. Cozman. Complexity of inferences in polytree-shaped semi-qualitative probabilistic networks. Conference on Advances in Artificial Intelligence (AAAI), pp. 217-223, 2013. Preprint available.
  • Valdinei Freire da Silva, Marcelo Li Koga, Fabio Gagliardi Cozman, Anna Helena Reali Costa. Reusing risk-aware stochastic abstract policies in robotic navigation learning. RoboCup International Symposium, pp. 1-12, 2013. Preprint available.
  • Marcius Armada, Kate Revoredo, Jose Eduardo Ochoa-Luna and Fabio Gagliardi Cozman. Assertion role in a hybrid link prediction approach through probabilistic ontology. Seminario de Pesquisa em Ontologias do Brasil (ONTOBRAS), 2013. Preprint available.
  • Valquiria Fenelon Pereira, Paulo Eduardo Santos, Murilo Fernandes Martins, Fabio Gagliardi Cozman. A qualitative-probabilistic approach to autonomous mobile robot self localisation and self vision calibration. Brazilian Conference on Intelligent Systems, 2013. Preprint available.
  • Flavio Sales Truzzi, Valdinei Freire da Silva, Anna Helena Reali Costa, Fabio Gagliardi Cozman. Ad network optimization: evaluating linear relaxations. Brazilian Conference on Intelligent Systems, 2013. Preprint available.
  • Flavio Sales Truzzi, Valdinei Freire da Silva, Anna H. Reali Costa, Fabio G. Cozman. AdBandit: a new algorithm for the multi-armed bandits. Encontro Nacional de Inteligencia Artificial, 2013. Preprint available.
  • Glauber De Bona, Fabio Gagliardi Cozman, Marcelo Finger. Generalized Probabilistic Satisfiability. Brazilian Conference on Intelligent Systems, 2013. Preprint available.
  • Glauber De Bona, Fabio G. Cozman, Marcelo Finger. Towards classifying propositional probabilistic logics (Extended Abstract). The Sixth Workshop on Combining Probability and Logic, 2013. Preprint available.
  • 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. (Selected for Honorable Mention at the meeting.)
  • 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. (Selected as one of the three best papers in the meeting.)
  • 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. (Selected Second Best Student Paper at the conference.)
  • 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 Automatica, 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, Fábio Gagliardi Cozman. Learning Classifiers with Markov Logic Networks, Congresso Brasileiro de Automática (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 Automática (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 Exposição Internacional de Tecnologia da Mobilidade. SAE Brasil Paper Number 2008-36-0143, São 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 Sergio 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, República 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, República 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 Aplicações de Mineração 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. Simões, 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 Magalhães, F. G. Cozman. Imputação de dados a partir de redes Bayesianas, 5 págs., Simpósio Nacional de Probabilidade e Estatística (Seção Estatísticas Públicas 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 Inteligência Artificial, São Leopoldo, Brazil, 2005. Preprint available.
  • J. S. Ide, F. G. Cozman. Set-based variational methods in credal networks: the SV2U algorithm, Encontro Nacional de Inteligência Artificial, São 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 Inferência Lógica e Probabilística para Descrição de Recursos de Produção Distribuídos: Implementação Paralela de Inferência em Redes Credais, VII Simpósio Brasileiro de Automação Inteligente, São Luis, Maranhão, Brasil, 2006. [Portuguese]
  • M. J. Perazzo, F. G. Cozman. Derivadas em Redes Bayesianas usando Eliminação de Variáveis, Congresso Brasileiro de Automática, 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 Inteligência 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 Mecânica, 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 Mecânica, 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 Dissertações em Inteligência 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 Inteligência Artificial (ENIA), Anais do XXI Congresso da Sociedade Brasileira de Computação, 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; note the errata for this paper!
  • 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

  • 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

  • Tacio Filipe V. Medeiros, Fabio G. Cozman Adaptive product classification for online marketplace based on semantic analysis. Workshop de Tecnologia Adaptativa (WTA), 2014.
  • Celso E. de Barros, Fabio G. Cozman. Software adaptavel ao calculo de satisfazibilidade probabilistica. Workshop de Tecnologia Adaptativa (WTA), 2014.
  • Denis D. Maua, 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 Dissertações em Inteligência Artificial, 10p., São Luis, Maranhão, 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 imputação de dados quantitativos no Censo Demográfico, SINAPE, 2008.
  • Fabio Nakano, Martin Rittler Whittle, Fabio Gagliardi Cozman, Carlos Alberto de Bragança Pereira. Bayesian solutions in paternity testing, Bayesianismo: Fundamentos e Aplicações, p. 14, São Paulo, SP, 2007.
  • A. H. Saheki, F. G. Cozman, R. Sharovsky, V. M. H. Coupé. Rede Bayesiana aplicada ao diagnóstico de doenças cardíacas: construção e algoritmos, XII Encontro Brasileiro de Estatística Bayesiana, p. 14, UFSCAR, São 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 América Latina, p. 23, Ubatuba, São Paulo, 2002.
  • I. B. Magalhães, 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 inspeção 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 Politecnica 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 Matematica e Estati­stica da USP, RT/MAC/2007/09, 2007.
  • F. G. Cozman. Axiomatizing Noisy-OR, Technical Report from Escola Politécnica 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

  • Cristina Godoy Bernardo de Oliveira, João Paulo Cândia Veiga, Fabio G. Cozman. Regulação da Inteligência Artificial: Qual Modelo Adotar? Revista Computação Brasil, n. 47, pp. 27-30, Junho 2022.
  • Fabio Gagliardi Cozman, Dora Kaufman. Viés no aprendizado de máquina em sistemas de inteligência artificial: a diversidade de origens e os caminhos de mitigação, Revista USP, n. 135, pp. 195-210, 2022.
  • 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].

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