Imitating Unknown Policies via Exploration. - Nathan Gavenski; Juarez Monteiro; Roger Granada; Felipe Meneguzzi; Rodrigo C. Barros (BMVC, 2020)

Augmented Behavioral Cloning from Observation. - Juarez Monteiro; Nathan Gavenski; Roger Granada; Felipe Meneguzzi; Rodrigo C. Barros (IJCNN, 2020)

Attention-based 3D Object Reconstruction from a Single Image. - Andrey de Aguiar Salvi; Nathan Gavenski; Eduardo H. P. Pooch; Felipe Tasoniero; Rodrigo C. Barros (IJCNN, 2020)

Object-Based Goal Recognition Using Real-World Data. - Roger Granada; Juarez Monteiro; Nathan Gavenski; Felipe Meneguzzi (MICAI (1), 2020)

How Resilient Are Imitation Learning Methods to Sub-optimal Experts? - Nathan Gavenski; Juarez Monteiro; Adilson Medronha; Rodrigo C. Barros (BRACIS (2), 2022)

Efficient Counterfactual Debiasing for Visual Question Answering. - Camila Kolling; Martin D. Móre; Nathan Gavenski; Eduardo H. P. Pooch; Otávio Parraga; Rodrigo C. Barros (WACV, 2022)

Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey. - Otávio Parraga; Martin D. Móre; Christian Mattjie de Oliveira; Nathan S. Gavenski; Lucas S. Kupssinskü; Adilson Medronha; Luis Vinícius de Moura; Gabriel S. Simões; Rodrigo C. Barros (CoRR, 2022)

Self-Supervised Adversarial Imitation Learning. - Juarez Monteiro; Nathan Gavenski; Felipe Meneguzzi; Rodrigo C. Barros (IJCNN, 2023)

Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking. - Nathan Gavenski; Michael Luck; Odinaldo Rodrigues (AAMAS, 2024)

Explorative Imitation Learning: A Path Signature Approach for Continuous Environments. - Nathan Gavenski; Juarez Monteiro; Felipe Meneguzzi; Michael Luck; Odinaldo Rodrigues (ECAI, 2024)

Imitation Learning: A Survey of Learning Methods, Environments and Metrics. - Nathan Gavenski; Odinaldo Rodrigues; Michael Luck (CoRR, 2024)

Fairness in Deep Learning: A Survey on Vision and Language Research. - Otávio Parraga; Martin D. Móre; Christian Mattjie de Oliveira; Nathan S. Gavenski; Lucas S. Kupssinskü; Adilson Medronha; Luis Vinícius de Moura; Gabriel S. Simões; Rodrigo C. Barros (ACM Comput. Surv., 2025)