Publications

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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Denis D. Mauá, Cassio Polpo De Campos, Marco Zaffalon (2013). On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables. Artificial Intelligence.
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Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, Sandra Gabaglio (2013). An Ensemble of Bayesian Networks for Multilabel Classification. Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI).
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Denis Deratani Mauá (2013). Algorithms and Complexity Results for Discrete Probabilistic Reasoning Tasks.
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Denis D. Mauá, Cassio Polpo De Campos, Marco Zaffalon (2012). Updating Credal Networks is Approximable in Polynomial Time. International Journal of Approximate Reasoning.
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