Publications

Fabio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander Gray, Denis D. Mauá (2025). Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks. Proceedings of the Fourteenth International Symposium on Imprecise Probabilities: Theories and Applications.
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Igor Cataneo Silveira, André Barbosa, Daniel Silva Lopes Da Costa, Denis D. Mauá (2025). Investigating Universal Adversarial Attacks Against Transformers-Based Automatic Essay Scoring Systems. Intelligent Systems.
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Fabio G. Cozman, Sarajane M. Peres, Marcelo Finger, Renata Wassermann, Anna H. Reali Costa, Edson S. Gomi, Artur J. L. Correia, Anarosa A. F. Brandão, Karina v. Delgado, Denis D. Mauá, Thiago A. S. Pardo, Fátima L. S. N. Marques (2024). A Big Challenge: Tools to Guarantee Robust and Controlled Behavior of Large Language Models. IV Seminário dos Grandes Desafios da Computação no Brasil: Trabalhos Apresentados.
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Renato Lui Geh, Jonas Gonçalves, Igor C. Silveira, Denis D. Mauá, Fabio G. Cozman (2024). dPASP: A Probabilistic Logic Programming Environment For Neurosymbolic Learning and Reasoning. Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning.
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Denis D. Mauá, Fabio Gagliardi Cozman, Alexandro Garces (2024). Probabilistic Logic Programming under the L-Stable Semantics. Proceedings of the 22nd International Workshop on Nonmonotonic Reasoning (NMR 2024).
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Igor Cataneo Silveira, André Barbosa, Denis D. Mauá (2024). A New Benchmark for Automatic Essay Scoring in Portuguese. Proceedings of the 16th International Conference on Computational Processing of Portuguese (PROPOR 2024).
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Benjie Wang, Denis D. Mauá, Guy Van Den Broeck, YooJung Choi (2024). A Compositional Atlas for Algebraic Circuits. The Thirty-Eight Annual Conference on Neural Information Processing Systems (NeurIPS 2024).
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Denis D. Mauá, Fabio Gagliardi Cozman (2023). Specifying credal sets with probabilistic answer set programming. Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications.
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Tiago Madeira, Denis D. Mauá (2023). On Modal Clustering with Gaussian Sum-Product Networks. The 6th Workshop on Tractable Probabilistic Modeling.
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Victor Hugo Nascimento Rocha, Igor Cataneo Silveira, Paulo Pirozelli, Denis D. Mauá, Fabio Gagliardi Cozman (2023). Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks. Progress in Artificial Intelligence.