Publications

Fabio Gagliardi Cozman, Denis Deratani Mauá (2018). The complexity of Bayesian networks specified by propositional and relational languages. Artificial Intelligence.
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Denis Deratani Mauá, Diarmaid Conaty, Fabio Gagliardi Cozman, Katja Poppenhaeger, Cassio Polpo De Campos (2018). Robustifying sum-product networks. International Journal of Approximate Reasoning.
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Igor Cataneo Silveira, Denis Deratani Mauá (2018). Advances in Automatically Solving the ENEM. Proceedings of the 7th Brazilian Conference on Intelligent Systems.
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Denis Deratani Mauá, Cassio P. De Campos (2017). Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks.
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Igor Cataneo Silveira, Denis Deratani Mauá (2017). University Entrance Exam as a Guiding Test for Artificial Intelligence. Proceedings of the 6th Brazilian Conference on Intelligent Systems.
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Denis Deratani Mauá, Fabio Gagliardi Cozman (2017). The effect of combination functions on the complexity of relational Bayesian networks. International Journal of Approximate Reasoning.
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Fabio Gagliardi Cozman, Denis Deratani Mauá (2017). The Descriptive Complexity of Bayesian Network Specifications. Proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty.
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Fabio Gagliardi Cozman, Denis Deratani Mauá (2017). The Complexity of Inferences and Explanations in Probabilistic Logic Programming. Proceedings of the 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty.
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Francisco H. O. v. De Faria, Arthur C. Gusmão, Fábio Gagliardi Cozman, Denis Deratani Mauá (2017). Speeding-up ProbLog's Parameter Learning. Proceedings of the Seventh International Workshop on Statistical Relational AI.
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Francisco H. O. v. De Faria, Arthur C. Gusmão, Glauber De Bona, Denis Deratani Mauá, Fabio Gagliardi Cozman (2017). Parameter Learning in ProbLog with Probabilistic Rules. Proceedings of the 5th Symposium on knowledge Discovery, Mining and Learning.