Publications

Julissa Giuliana Villanueva Llerena, Denis Deratani Mauá, Alessandro Antonucci (2021). Cautious Classification with Data Missing Not at Random using Generative Random Forests. Proceedings of the Sixteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty.
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Denis Deratani Mauá, Heitor Reis Ribeiro, Gustavo Perez Katague, Alessandro Antonucci (2020). Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks. PGM 2020.
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Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena (2020). Tractable inference in credal sentential decision diagrams. IJAR.
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Denis Deratani Mauá, Fabio Gagliardi Cozman (2020). Thirty years of credal networks: Specification, algorithms and complexity. IJAR.
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Fabio Gagliardi Cozman, Denis Deratani Mauá (2020). The Joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference. IJAR.
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Caio Netto, Eduardo Tannuri, Denis Mauá, Fábio Cozman (2020). Prediction of Environmental Conditions for Maritime Navigation using a Network of Sensors: A Practical Application of Graph Neural Networks. KDMILE 2020.
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Renato Scaroni, Thiago P. Bueno, Leliane N. De Barros, Denis Mauá (2020). On the Performance of Planning Through Backpropagation. BRACIS 2020.
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Renato Geh, Denis Mauá, Alessandro Antonucci (2020). Learning Probabilistic Sentential Decision Diagrams by Sampling. KDMILE 2020.
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Milton Condori Fernandez, Leliane N. De Barros, Denis Mauá, Karina v. Delgado, Valdinei Freire (2020). Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning. BRACIS 2020.
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Julissa Villanueva Llerena, Denis Deratani Mauá (2020). Efficient Algorithms for Robustness Analysis of Maximum A Posteriori Inference in Selective Sum-Product Networks. International Journal of Approximate Reasoning.
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