Denis Deratani Mauá

92 papers A* 10A 4C 3Journal 41Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Empirical Analysis of Large Language Models for Automated Cross-Prompt Essay Trait Scoring in Brazilian Portuguese. J. Braz. Comput. Soc. André Barbosa, Igor Cataneo Silveira, Denis Deratani Mauá
2025	—	`conf`	Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks. ISIPTA Fábio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander Gray, Denis Deratani Mauá
2025	J	`jnl`	Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models. CoRR João P. Arroyo, João G. Rodrigues, Daniel Angelo Esteves Lawand, Denis Deratani Mauá, Junkyu Lee, Radu Marinescu, Alexander G. Gray, Eduardo R. Laurentino, Fábio G. Cozman
2025	—	`conf`	Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models. BRACIS (2) Eduardo R. Laurentino, Fábio Gagliardi Cozman, Denis Deratani Mauá, Daniel Angelo Esteves Lawand, Davi Goncalves Bezerra Coelho, Lucas Martins Marques
2025	J	`jnl`	Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models. CoRR Eduardo R. Laurentino, Fábio Gagliardi Cozman, Denis Deratani Mauá, Daniel Angelo Esteves Lawand, Davi Goncalves Bezerra Coelho, Lucas Martins Marques
2024	J	`jnl`	A Case Study of Next Portfolio Prediction for Mutual Funds. CoRR Guilherme Thomaz, Denis Deratani Mauá
2024	A*	`conf`	A Compositional Atlas for Algebraic Circuits. NeurIPS Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi
2024	J	`jnl`	A Compositional Atlas for Algebraic Circuits. CoRR Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi
2024	—	`conf`	A New Benchmark for Automatic Essay Scoring in Portuguese. PROPOR (1) Igor Cataneo Silveira, André Barbosa, Denis Deratani Mauá
2024	J	`jnl`	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks. CoRR Victor Hugo Nascimento Rocha, Igor Cataneo Silveira, Paulo Pirozelli, Denis Deratani Mauá, Fábio Gagliardi Cozman
2024	—	`conf`	Investigating Universal Adversarial Attacks Against Transformers-Based Automatic Essay Scoring Systems. BRACIS (2) Igor Cataneo Silveira, André Barbosa, Daniel Silva Lopes da Costa, Denis Deratani Mauá
2024	—	`conf`	Probabilistic Logic Programming under the L-Stable Semantics. NMR Denis Deratani Mauá, Fábio G. Cozman, Alexandro Garces
2024	A*	`conf`	dPASP: A Probabilistic Logic Programming Environment For Neurosymbolic Learning and Reasoning. KR Renato Lui Geh, Jonas Gonçalves, Igor Cataneo Silveira, Denis Deratani Mauá, Fábio G. Cozman
2023	—	`conf`	Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks. EPIA (1) Victor Hugo Nascimento Rocha, Igor Cataneo Silveira, Paulo Pirozelli, Denis Deratani Mauá, Fábio Gagliardi Cozman
2023	—	`conf`	Specifying credal sets with probabilistic answer set programming. ISIPTA Denis Deratani Mauá, Fábio Gagliardi Cozman
2023	J	`jnl`	dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning. CoRR Renato Lui Geh, Jonas Gonçalves, Igor Cataneo Silveira, Denis Deratani Mauá, Fábio Gagliardi Cozman
2022	—	`conf`	Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study. BRACIS (2) Ângelo Gregório Lovatto, Leliane Nunes de Barros, Denis Deratani Mauá
2022	—	`conf`	Integrating Question Answering and Text-to-SQL in Portuguese. PROPOR Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá, Fábio Gagliardi Cozman
2022	J	`jnl`	Integrating question answering and text-to-SQL in Portuguese. CoRR Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá, Fábio Gagliardi Cozman
2022	J	`jnl`	The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory. CoRR Paulo Pirozelli, Ais B. R. Castro, Ana Luiza C. de Oliveira, André Seidel Oliveira, Flávio Nakasato Cação, Igor Cataneo Silveira, João G. M. Campos, Laura C. Motheo, Leticia F. Figueiredo, Lucas Francisco Amaral Orosco Pellicer, Marcelo A. José, Marcos M. José, Pedro de M. Ligabue, Ricardo S. Grava, Rodrigo M. Tavares, Vinícius Bitencourt Matos, Yan V. Sym, Anna H. R. Costa, Anarosa A. F. Brandão, Denis Deratani Mauá, Fábio G. Cozman, Sarajane M. Peres
2022	—	`conf`	Time Robust Trees: Using Temporal Invariance to Improve Generalization. BRACIS (1) Luis Moneda, Denis Deratani Mauá
2021	C	`conf`	Cautious Classification with Data Missing Not at Random Using Generative Random Forests. ECSQARU Julissa Villanueva Llerena, Denis Deratani Mauá, Alessandro Antonucci
2021	J	`jnl`	Efficient algorithms for Risk-Sensitive Markov Decision Processes with limited budget. Int. J. Approx. Reason. Daniel Augusto de Melo Moreira, Karina Valdivia Delgado, Leliane Nunes de Barros, Denis Deratani Mauá
2021	A	`conf`	Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. UAI Renato Lui Geh, Denis Deratani Mauá
2021	J	`jnl`	Special Issue on Robustness in Probabilistic Graphical Models. Int. J. Approx. Reason. Denis Deratani Mauá, Cassio Polpo de Campos
2020	J	`jnl`	Complexity results for probabilistic answer set programming. Int. J. Approx. Reason. Denis Deratani Mauá, Fábio Gagliardi Cozman
2020	—	`conf`	Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet Practice. ICBINB@NeurIPS Ângelo Gregório Lovatto, Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros
2020	A*	`conf`	Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models. AAAI Julissa Villanueva Llerena, Denis Deratani Mauá
2020	J	`jnl`	Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks. Int. J. Approx. Reason. Julissa Villanueva Llerena, Denis Deratani Mauá
2020	—	`conf`	Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning. BRACIS (2) Milton Condori Fernandez, Leliane N. de Barros, Denis Deratani Mauá, Karina Valdivia Delgado, Valdinei Freire
2020	—	`conf`	On the Performance of Planning Through Backpropagation. BRACIS (2) Renato Scaroni, Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá
2020	J	`jnl`	The joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference. Int. J. Approx. Reason. Fábio Gagliardi Cozman, Denis Deratani Mauá
2020	J	`jnl`	Thirty years of credal networks: Specification, algorithms and complexity. Int. J. Approx. Reason. Denis Deratani Mauá, Fábio Gagliardi Cozman
2020	J	`jnl`	Tractable Inference in Credal Sentential Decision Diagrams. CoRR Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena
2020	J	`jnl`	Tractable inference in credal sentential decision diagrams. Int. J. Approx. Reason. Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena
2020	—	`conf`	Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks. PGM Denis Deratani Mauá, Heitor Ribeiro Reis, Gustavo Perez Katague, Alessandro Antonucci
2019	A*	`conf`	Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. AAAI Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner
2019	—	`conf`	Robust Analysis of MAP Inference in Selective Sum-Product Networks. ISIPTA Julissa Giuliana Villanueva Llerena, Denis Deratani Mauá
2019	J	`jnl`	Speeding up parameter and rule learning for acyclic probabilistic logic programs. Int. J. Approx. Reason. Francisco H. O. V. de Faria, Arthur Colombini Gusmão, Glauber De Bona, Denis Deratani Mauá, Fábio Gagliardi Cozman
2019	J	`jnl`	The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws. Int. J. Approx. Reason. Fábio Gagliardi Cozman, Denis Deratani Mauá
2018	—	`conf`	Advances in Automatically Solving the ENEM. BRACIS Igor Cataneo Silveira, Denis Deratani Mauá
2018	J	`jnl`	Robustifying sum-product networks. Int. J. Approx. Reason. Denis Deratani Mauá, Diarmaid Conaty, Fábio Gagliardi Cozman, Katja Poppenhaeger, Cassio Polpo de Campos
2018	A*	`conf`	The Finite Model Theory of Bayesian Networks: Descriptive Complexity. IJCAI Fábio Gagliardi Cozman, Denis Deratani Mauá
2018	J	`jnl`	The complexity of Bayesian networks specified by propositional and relational languages. Artif. Intell. Fábio Gagliardi Cozman, Denis Deratani Mauá
2018	—	`conf`	When a Robot Reaches Out for Human Help. IBERAMIA Ignasi Andrés, Leliane Nunes de Barros, Denis Deratani Mauá, Thiago D. Simão
2017	A	`conf`	Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. UAI Diarmaid Conaty, Cassio P. de Campos, Denis Deratani Mauá
2017	J	`jnl`	Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks. CoRR Denis Deratani Mauá, Cassio P. de Campos
2017	—	`conf`	Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization. SUM Francisco Henrique Otte Vieira de Faria, Fábio Gagliardi Cozman, Denis Deratani Mauá
2017	—	`conf`	Credal Sum-Product Networks. ISIPTA Denis Deratani Mauá, Fábio Gagliardi Cozman, Diarmaid Conaty, Cassio P. de Campos
2017	—	`conf`	Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming. ISIPTA Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman
2017	—	`conf`	On Using Sum-Product Networks for Multi-label Classification. BRACIS Julissa Villanueva Llerena, Denis Deratani Mauá
2017	J	`jnl`	On the Semantics and Complexity of Probabilistic Logic Programs. CoRR Fábio Gagliardi Cozman, Denis Deratani Mauá
2017	J	`jnl`	On the Semantics and Complexity of Probabilistic Logic Programs. J. Artif. Intell. Res. Fábio Gagliardi Cozman, Denis Deratani Mauá
2017	J	`jnl`	On the complexity of propositional and relational credal networks. Int. J. Approx. Reason. Fábio Gagliardi Cozman, Denis Deratani Mauá
2017	J	`jnl`	Speeding-up ProbLog's Parameter Learning. CoRR Francisco H. O. V. de Faria, Arthur C. Gusmão, Fábio Gagliardi Cozman, Denis Deratani Mauá
2017	C	`conf`	The Complexity of Inferences and Explanations in Probabilistic Logic Programming. ECSQARU Fábio Gagliardi Cozman, Denis Deratani Mauá
2017	C	`conf`	The Descriptive Complexity of Bayesian Network Specifications. ECSQARU Fábio Gagliardi Cozman, Denis Deratani Mauá
2017	J	`jnl`	The effect of combination functions on the complexity of relational Bayesian networks. Int. J. Approx. Reason. Denis Deratani Mauá, Fábio Gagliardi Cozman
2017	—	`conf`	University Entrance Exam as a Guiding Test for Artificial Intelligence. BRACIS Igor Cataneo Silveira, Denis Deratani Mauá
2016	J	`jnl`	Better Initialization Heuristics for Order-based Bayesian Network Structure Learning. J. Inf. Data Manag. Walter Perez Urcia, Denis Deratani Mauá
2016	J	`jnl`	Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams. Int. J. Approx. Reason. Denis Deratani Mauá
2016	J	`jnl`	Fast local search methods for solving limited memory influence diagrams. Int. J. Approx. Reason. Denis Deratani Mauá, Fábio Gagliardi Cozman
2016	J	`jnl`	Hidden Markov models with set-valued parameters. Neurocomputing Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos
2016	—	`conf`	Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution. BRACIS Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman
2016	—	`conf`	Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity. Probabilistic Graphical Models Fábio Gagliardi Cozman, Denis Deratani Mauá
2016	J	`jnl`	The Complexity of Bayesian Networks Specified by Propositional and Relational Languages. CoRR Fábio Gagliardi Cozman, Denis Deratani Mauá
2016	—	`conf`	The Effect of Combination Functions on the Complexity of Relational Bayesian Networks. Probabilistic Graphical Models Denis Deratani Mauá, Fábio Gagliardi Cozman
2016	—	`conf`	The Structure and Complexity of Credal Semantics. PLP@ILP Fábio Gagliardi Cozman, Denis Deratani Mauá
2015	A*	`conf`	Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity. AAAI Fábio Gagliardi Cozman, Denis Deratani Mauá
2015	—	`conf`	DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model. SUM Denis Deratani Mauá, Fábio Gagliardi Cozman
2015	A*	`conf`	The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages. IJCAI Denis Deratani Mauá, Cassio P. de Campos, Fábio Gagliardi Cozman
2015	—	`conf`	The Complexity of Plate Probabilistic Models. SUM Fábio Gagliardi Cozman, Denis Deratani Mauá
2014	—	`conf`	Advances in Learning Bayesian Networks of Bounded Treewidth. NIPS Siqi Nie, Denis Deratani Mauá, Cassio P. de Campos, Qiang Ji
2014	J	`jnl`	Advances in Learning Bayesian Networks of Bounded Treewidth. CoRR Siqi Nie, Denis Deratani Mauá, Cassio Polpo de Campos, Qiang Ji
2014	—	`conf`	Algorithms for Hidden Markov Models with Imprecisely Specified Parameters. BRACIS Denis Deratani Mauá, Cassio Polpo de Campos, Alessandro Antonucci
2014	—	`conf`	Equivalences between Maximum a Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence Diagrams. Probabilistic Graphical Models Denis Deratani Mauá
2014	J	`jnl`	Probabilistic Inference in Credal Networks: New Complexity Results. J. Artif. Intell. Res. Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci
2014	—	`conf`	Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams. Probabilistic Graphical Models Denis Deratani Mauá, Fábio Gagliardi Cozman
2014	—	`conf`	Trading off Speed and Accuracy in Multilabel Classification. Probabilistic Graphical Models Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio
2013	A*	`conf`	An Ensemble of Bayesian Networks for Multilabel Classification. IJCAI Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, Sandra Gabaglio
2013	A*	`conf`	Approximation Algorithms for Max-Sum-Product Problems. IJCAI Denis Deratani Mauá
2013	A	`conf`	On the Complexity of Strong and Epistemic Credal Networks. UAI Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci
2013	J	`jnl`	On the Complexity of Strong and Epistemic Credal Networks. CoRR Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci
2013	J	`jnl`	On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables. Artif. Intell. Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
2012	A*	`conf`	Anytime Marginal MAP Inference. ICML Denis Deratani Mauá, Cassio Polpo de Campos
2012	J	`jnl`	Evaluating credal classifiers by utility-discounted predictive accuracy. Int. J. Approx. Reason. Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá
2012	J	`jnl`	Solving Limited Memory Influence Diagrams. J. Artif. Intell. Res. Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
2012	J	`jnl`	The Complexity of Approximately Solving Influence Diagrams CoRR Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
2012	A	`conf`	The Complexity of Approximately Solving Influence Diagrams. UAI Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
2012	J	`jnl`	Updating credal networks is approximable in polynomial time. Int. J. Approx. Reason. Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
2011	—	`conf`	Solving Decision Problems with Limited Information. NIPS Denis Deratani Mauá, Cassio Polpo de Campos
2011	J	`jnl`	Solving Limited Memory Influence Diagrams CoRR Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon