publications

2026

1. P²CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations

   Arthur Hendricks Mendes Oliveira^*, Giovani Valdrighi^*, and Marcos Medeiros Raimundo

   To appear in Machine Learning (journal), 2026

   arXiv Bib PDF Code

   @article{oliveira2026p2ce,
     title = {P²CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations},
     author = {de Oliveira, Arthur Hendricks Mendes and Valdrighi, Giovani and Raimundo, Marcos Medeiros},
     journal = {To appear in Machine Learning (journal)},
     year = {2026},
   }

2. ICML 2026

   Long-term Fairness with Selective Labels

   Giovani Valdrighi, Isabel Valera, and Marcos M. Raimundo

   In Forty-third International Conference on Machine Learning, 2026

   arXiv Bib PDF Code Slides

   @inproceedings{valdrighi2026longterm,
     title = {Long-term Fairness with Selective Labels},
     author = {Valdrighi, Giovani and Valera, Isabel and Raimundo, Marcos M.},
     booktitle = {Forty-third International Conference on Machine Learning},
     year = {2026},
     url = {https://openreview.net/forum?id=Ykdbje3SDK},
   }

3. Navigating the Rashomon Set: The Impact of Score Distributions and Decision Thresholds on Model Agreement

   Giovani Valdrighi and Marcos M. Raimundo

   In Algorithmic Fairness Across Alignment Procedures and Agentic Systems, 2026

   Bib

   @inproceedings{valdrighi2026navigating,
     title = {Navigating the Rashomon Set: The Impact of Score Distributions and Decision Thresholds on Model Agreement},
     author = {Valdrighi, Giovani and Raimundo, Marcos M.},
     booktitle = {Algorithmic Fairness Across Alignment Procedures and Agentic Systems},
     year = {2026},
     url = {https://openreview.net/forum?id=lKeSvgK1Bk},
   }

2025

1. Best practices for responsible machine learning in credit scoring

   Giovani Valdrighi, Athyrson M Ribeiro, Jansen SB Pereira, and 8 more authors

   Neural Computing and Applications, 2025

   arXiv Bib PDF Code

   @article{valdrighi2025best,
     title = {Best practices for responsible machine learning in credit scoring},
     author = {Valdrighi, Giovani and M Ribeiro, Athyrson and SB Pereira, Jansen and Guardieiro, Vitoria and Hendricks, Arthur and Miranda Filho, D{\'e}cio and Nieto Garcia, Juan David and F Bocca, Felipe and B Veronese, Thalita and Wanner, Lucas and others},
     journal = {Neural Computing and Applications},
     pages = {1--41},
     year = {2025},
     publisher = {Springer},
   }

2. FAccT 2025

   M^2FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness

   Jansen Silva de Brito Pereira^*, Giovani Valdrighi^*, and Marcos Medeiros Raimundo

   2025

   arXiv Bib PDF Code Slides

   @article{pereira2025m2fgb,
     title = {M$^2$FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness},
     author = {Pereira, Jansen Silva de Brito and Valdrighi, Giovani and Raimundo, Marcos Medeiros},
     booktitle = {Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency},
     pages = {3106--3118},
     year = {2025},
   }

2023

1. Granularity at Scale: Estimating Neighborhood Well-Being from High-Resolution Orthographic Imagery and Hybrid Learning

   Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, and 5 more authors

   arXiv preprint arXiv:2309.16808, 2023

   Bib

   @article{brewer2023granularity,
     title = {Granularity at Scale: Estimating Neighborhood Well-Being from High-Resolution Orthographic Imagery and Hybrid Learning},
     author = {Brewer, Ethan and Valdrighi, Giovani and Solunke, Parikshit and Rulff, Joao and Piadyk, Yurii and Lv, Zhonghui and Poco, Jorge and Silva, Claudio},
     journal = {arXiv preprint arXiv:2309.16808},
     year = {2023},
   }

2. MoReVis: A Visual Summary for Spatiotemporal Moving Regions

   Giovani Valdrighi, Nivan Ferreira, and Jorge Poco

   IEEE Transactions on Visualization and Computer Graphics, 2023

   Bib

   @article{valdrighi2023morevis,
     title = {MoReVis: A Visual Summary for Spatiotemporal Moving Regions},
     author = {Valdrighi, Giovani and Ferreira, Nivan and Poco, Jorge},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     year = {2023},
     publisher = {IEEE},
   }