Granularity at Scale: Estimating Neighborhood Well-Being from High-Resolution Orthographic Imagery and Hybrid Learning. - Ethan Brewer; Giovani Valdrighi; Parikshit Solunke; João Rulff; Yurii Piadyk; Zhonghui Lv; Jorge Poco; Cláudio T. Silva (CoRR, 2023)

Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning. - Ethan Brewer; Giovani Valdrighi; Parikshit Solunke; João Rulff; Yurii Piadyk; Zhonghui Lv; Jorge Poco; Cláudio T. Silva (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

MoReVis: A Visual Summary for Spatiotemporal Moving Regions. - Giovani Valdrighi; Nivan Ferreira; Jorge Poco (IEEE Trans. Vis. Comput. Graph., 2024)

M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness. - Jansen Silva de Brito Pereira; Giovani Valdrighi; Marcos Medeiros Raimundo (FAccT, 2025)

M2FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness. - Jansen Silva de Brito Pereira; Giovani Valdrighi; Marcos M. Raimundo (CoRR, 2025)

Best practices for responsible machine learning in credit scoring. - Giovani Valdrighi; Athyrson M. Ribeiro; Jansen Silva de Brito Pereira; Vitória Guardieiro; Arthur Hendricks; Décio Miranda Filho; Juan David Nieto Garcia; Felipe F. Bocca; Thalita B. Veronese; Lucas Wanner 001; Marcos Medeiros Raimundo (Neural Comput. Appl., 2025)