Publications

Denis Deratani Mauá, Fabio Gagliardi Cozman (2014). Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams. PGM.
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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. BRACIS.
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Siqi Nie, Denis Deratani 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 Deratani Mauá, Cassio Polpo De Campos, Alessio Benavoli, Alessandro Antonucci (2013). On the Complexity of Strong and Epistemic Credal Networks. UAI.
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Denis Deratani 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. IJCAI 2015.
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Denis Deratani Mauá (2013). Algorithms and Complexity Results for Discrete Probabilistic Reasoning Tasks.
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