(Meta 6) Giovani Valdrighi; Athyrson M. Ribeiro; Jansen S. B. Pereira; Vitoria Guardieiro; Arthur Hendricks; Décio Miranda Filho; Juan David Nieto Garcia; Felipe F. Bocca; Thalita B. Veronese; Lucas Wanner; Marcos Medeiros Raimundo. Best Practices for Responsible Machine Learning in Credit Scoring. Neural Computing and Applications. 2025.
(Meta 6) Giovani Valdrighi, Arthur Hendricks Mendes de Oliveira and Marcos Medeiros Raimundo. P2CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations. Machine Learning. 2025.
(Meta 5) Nádia Félix Silva; Alef Ferreira. Transformer Models improve the acoustic recognition of buzz-pollinating bee species. Ecological Informatics. 2025.
(Meta 3) Carnot Braun, Rafael O. Jarczewski, Allan M. de Souza Which One is Better? Distributed Artificial Intelligence Strategies for Vehicular Emissions Forecasting. Journal of Internet Services and Applications (JISA).
(Metas 1 e 2) Eduardo Y. Sakabe, Eduardo Camargo, Alexandre Simões, Esther Colombini, Paula Costa, Ricardo Gudwin. An Episode Encoding Mechanism for Cognitive Architectures. Cognitive Systems Research. 2025.
(Meta 3) Sousa, John; Romulo, Bustincio; Bastos, Lucas; Morais, Renan; Rosário, Denis ; Cerqueira, Eduardo. Enhancing Robustness in Federated Learning using Minimal Repair and Dynamic Adaptation in a Scenario with Client Failures. Annals of Telecommunications. 2025.
(Metas 1 e 2) Gustavo Morais; Eduardo Yuji; Paula Costa; Alexandre Simões; Ricardo Gudwin; Esther Colombini. A general framework for reinforcement learning in cognitive architecture. Cognitive Systems Research. 2025. [LINK]
(Metas 1 e 2) Letícia Berto, Ana Tanevska; Azamor Cirne; Paula Costa; Alexandre Simões; Ricardo Gudwin, Esther Colombini, Alessandra Scutti. Curiosity and Affect-Driven Cognitive Architecture for HRI. IEEE Transactions on Affective Computing. 2025. [LINK]
2024
Barros, Alex ; Veiga, Rafael; Morais, Renan; Rosário, Denis; Cerqueira, Eduardo . MESFLA: Model Efficiency through Selective Federated Learning Algorithm. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, 2024. [LINK]
Veiga, Rafael ; Sousa, John ; Morais, Renan ; Bastos, Lucas; Lobato, Wellington ; Rosário, Denis ; Cerqueira, Eduardo . A Robust Client Selection Mechanism for Federated Learning Environments. Journal of the Brazilian Computer Society (ONLINE), 2024. [LINK]
Jugurta Montalvão, Dami Duarte, Levy Boccato. A coincidence detection perspective for the maximum mean discrepancy. Pattern Recognition Letters. 2024. [LINK]
Otávio Napoli, Dami Duarte, Patrick Alves, Darlinne Hubert Palo Soto, Henrique Evangelista de Oliveira, Anderson Rocha, Levy Boccato, and Edson Borin. A benchmark for domain adaptation and generalization in smartphone-based human activity recognition. Scientific Data – Nature Data, 2024. [LINK]
Bernardo, B., Costa, P. (2024). A Speech-Driven Talking Head based on a Two-Stage Generative Framework. In Proceedings of the 16th International Conference on Computational Processing of Portuguese. [LINK]
Berto, L., Costa, P., Simões A., Gudwin, R., Colombini, E. (2024). A motivational-based learning model for mobile robots. Cognitive Systems Research. [LINK]
de Souza, A. M., Maciel, F., da Costa, J. B., Bittencourt, L. F., Cerqueira, E., Loureiro, A. A., & Villas, L. A. (2024). Adaptive client selection with personalization for communication efficient Federated Learning. Ad Hoc Networks. [LINK]
Berto, L., Rossi, L., Rohmer, E., Costa, P., Gudwin, R., Simões, A., & Colombini, E. (2024). Piagetian experiments to DevRobotics. Cognitive Systems Research. [LINK]
Maciel, F., de Souza, A. M., Bittencourt, L. F., Villas, L. A., & Braun, T. (2024). Federated learning energy saving through client selection. Pervasive and Mobile Computing. [LINK]
Talasso, G., & Villas, L. (2024). Soluções para Dados Heterogêneos em Aprendizado Federado através de Similaridade de Modelos e Agrupamento de Clientes. Revista Eletrônica de Iniciação Científica em Computação. [LINK]
de Lellis Rossi, L., Rohmer, E., Dornhofer Paro Costa, P., Colombini, E. L., da Silva Simões, A., & Gudwin, R. R. (2024). A Procedural Constructive Learning Mechanism with Deep Reinforcement Learning for Cognitive Agents. Journal of Intelligent & Robotic Systems. [LINK]
Haddadi, S. J., Farshidvard, A., dos Santos Silva, F., dos Reis, J. C., & da Silva Reis, M. (2024). Customer churn prediction in imbalanced datasets with resampling methods: A comparative study. Expert Systems with Applications. [LINK]
2023
Prudencio, R. F., Maximo, M. R., & Colombini, E. L. (2023). A survey on offline reinforcement learning: Taxonomy, review, and open problems. IEEE Transactions on Neural Networks and Learning Systems. [LINK]
Rossi, L. D. L., Berto, L. M., Rohmer, E., Costa, P. P., Gudwin, R. R., Colombini, E. L., & Simoes, A. D. S. (2023). Incremental procedural and sensorimotor learning in cognitive humanoid robots. arXiv preprint arXiv. [LINK]
Berto, L., Costa, P., Simões, A., Gudwin, R., & Colombini, E. (2023). Learning Goal-based Movement via Motivational-based Models in Cognitive Mobile Robots. arXiv preprint arXiv. [LINK]
2022
Camargo, E., Sakabe, E. Y., & Gudwin, R. (2022). Existence, Hypotheses and Categories in Knowledge Representation. Procedia Computer Science. [LINK]
de Santana Correia, A., & Colombini, E. L. (2022). Attention, please! A survey of neural attention models in deep learning. Artificial Intelligence Review. [LINK]
2021
de Santana Correia, A., & Colombini, E. (2021). Neural attention models in deep learning: Survey and taxonomy. arXiv preprint arXiv. [LINK]
