Publications

Fabio H.~S.~Machado, Fabio Gagliardi Cozman, Denis D. Mauá (2015). Bayesian Networks of Bounded Treewith: A Performance Analysis. Anais do XII Encontro Nacional de Inteligência Artificial e Computacional.
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Denis Deratani Mauá, Fabio Gagliardi Cozman (2015). A Tractable Class of Model Counting Problems. Anais do XII Encontro Nacional de Inteligência Artificial e Computacional.
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Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio (2014). Trading off Speed and Accuracy in Multilabel Classification. Proceedings of the Seventh European Workshop on Probabilistic Graphical Models.
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Denis Deratani Mauá, Fabio Gagliardi Cozman (2014). Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams. Proceedings of the 7th European Workshop on Probabilistic Graphical Models.
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Denis Deratani Mauá, Cassio Polpo De Campos, Alessio Benavoli, Alessandro Antonucci (2014). Probabilistic Inference in Credal Networks: New Complexity Results. Journal of Artificial Intelligence Research.
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Denis Deratani Mauá (2014). Equivalences between Maximum a Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence Diagrams. Proceedings of the 7th European Workshop on Probabilistic Graphical Models.
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Denis Deratani Mauá, Cassio Polpo De Campos, Alessandro Antonucci (2014). Algorithms for Hidden Markov Models With Imprecisely Specified Parameters. Proccedings of the 2014 Brazilian Conference on Intelligent Systems.
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Siqi Nie, Denis D. Mauá, Cassio Polpo De Campos, Qiang Ji (2014). Advances in Learning Bayesian Networks of Bounded Treewidth. Advances in Neural Information Processing Systems 27.
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Siqi Nie, Denis Deratani Mauá, Cassio Polpo De Campos, Qiang Ji (2014). Advances in Learning Bayesian Networks of Bounded Treewidth.
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Denis D. Mauá, Cassio Polpo De Campos, Alessio Benavoli, Alessandro Antonucci (2013). On the Complexity of Strong and Epistemic Credal Networks. Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI).
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