Publications

Fabio Gagliardi Cozman, Denis Deratani Mauá (2016). The structure and complexity of credal semantics. Proceedings of the 3rd International Workshop on Probabilistic Logic Programming.
Cite
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.
Cite Slides
Fábio Gagliardi Cozman, Denis Deratani Mauá (2016). Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity. PGM.
Cite
Thiago Bueno, Denis Deratani Mauá, Leliane Nunes De Barros, Fabio Gagliardi Cozman (2016). Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution. BRACIS 2016.
PDF Cite 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).
Cite
Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo De Campos (2016). Hidden Markov models with set-valued parameters. Neurocomputing.
PDF Cite DOI
Denis Deratani Mauá, Fabio Gagliardi Cozman (2016). Fast local search methods for solving limited memory influence diagrams. International Journal of Approximate Reasoning.
PDF Cite DOI
Denis Deratani Mauá (2016). Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams. IJAR.
PDF Cite DOI
Walter Perez, Denis Deratani Mauá (2016). Better Initialization Heuristics for Order-based Bayesian Network Structure Learning. Journal of Information and Data Management.
Cite
Fábio Gagliardi Cozman, Denis Deratani Mauá (2015). The Complexity of Plate Probabilistic Models. Proceedings of the Ninth International Conference on Scalable Uncertainty Management.
PDF Cite DOI