Leveraging Textual Descriptions for House Price Valuation. - Luís Fernando Bittencourt; Otávio Parraga; Duncan D. Ruiz; Isabel H. Manssour; Soraia Raupp Musse; Rodrigo C. Barros (BRACIS (1), 2022)

COBE: A Natural Language Code Search Robustness Benchmark. - Jonatas Wehrmann; Otávio Parraga; Rodrigo C. Barros (IJCNN, 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)

Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines. - Christian Mattjie de Oliveira; Luis Vinícius de Moura; Rafaela Cappelari Ravazio; Lucas S. Kupssinskü; Otávio Parraga; Marcelo Mussi Delucis; Rodrigo C. Barros (BIBE, 2023)

One Against Many: Exploring Multi-task Learning Generalization in Source-Code Tasks. - Otávio Parraga; Lucas S. Kupssinskü; Christian Mattjie de Oliveira; Rodrigo C. Barros (IJCNN, 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)

Inference Time Debiasing Concepts in Diffusion Models. - Lucas S. Kupssinskü; Marco N. Bochernitsan; Jordan Kopper; Otávio Parraga; Rodrigo C. Barros (CoRR, 2025)