Publications

Diarmaid Conaty, Denis Deratani Mauá, Cassio Polpo De Campos (2017). Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence.
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Fabio Gagliardi Cozman, Denis Deratani Mauá (2016). The Complexity of Bayesian Networks Specified by Propositional and Relational Languages.
arXiv URL
Fabio Gagliardi Cozman, Denis Deratani Mauá (2016). The Well-Founded Semantics of Cyclic Probabilistic Logic Programs. XIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC).
Fabio Gagliardi Cozman, Denis Deratani Mauá (2016). The structure and complexity of credal semantics. Proceedings of the 3rd International Workshop on Probabilistic Logic Programming.
Denis Deratani Mauá, Fábio Gagliardi Cozman (2016). The Effect of Combination Functions on the Complexity of Relational Bayesian Networks. Proceedings of the Eighth International Conference on Probabilistic Graphical Models.
Fábio Gagliardi Cozman, Denis Deratani Mauá (2016). Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity. Proceedings of the Eighth International Conference on Probabilistic Graphical Models.
Thiago Bueno, Denis Deratani Mauá, Leliane Nunes De Barros, Fabio Gagliardi Cozman (2016). Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution. Proceedings of the 5th Brazilian Conference on Intelligent System (BRACIS).
DOI
Walter Perez, Denis Deratani Mauá (2016). Improving Acyclic Selection Order-Based Bayesian Network Structure Learning. XIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC).
Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo De Campos (2016). Hidden Markov models with set-valued parameters. Neurocomputing.
URL DOI
Denis Deratani Mauá, Fabio Gagliardi Cozman (2016). Fast local search methods for solving limited memory influence diagrams. International Journal of Approximate Reasoning.
URL DOI