Publications

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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Denis D. Mauá, Cassio Polpo De Campos, Marco Zaffalon (2012). The Complexity of Approximately Solving Influence Diagrams. Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI).
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Denis D. Mauá, Cassio Polpo De Campos, Marcos Zaffalon (2012). Solving Limited Memory Influence Diagrams. Journal of Artificial Intelligence Research.
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Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá (2012). Evaluating credal classifiers by utility-discounted predictive accuracy. International Journal of Approximate Reasoning.
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Denis D. Mauá, Cassio Polpo De Campos (2012). Anytime Marginal MAP Inference. Proceedings of the 28th International Conference on Machine Learning (ICML).
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Denis Deratani Mauá, Cassio Polpo De Campos, Marco Zaffalon (2011). Solving Limited Memory Influence Diagrams. ArXiv e-prints.
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Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá (2011). Utility-Based Accuracy Measures to Empirically Evaluate Credal Classifiers. ISIPTA ‘11: Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications.
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