2 citations · 2 across the 3 of their papers we have counts for
3 papers
Multi-criteria Rank-based Aggregation for Explainable AI
Sujoy Chatterjee, Everton Romanzini Colombo, Marcos Medeiros Raimundo
Explainability is crucial for improving the transparency of black-box machine learning models. With the advancement of explanation methods such as LIME and SHAP, various XAI perfor…
MFGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
Jansen S. B. Pereira, Giovani Valdrighi, Marcos Medeiros Raimundo
In recent years, fairness in machine learning has emerged as a critical concern to ensure that developed and deployed predictive models do not have disadvantageous predictions for…
Best Practices for Responsible Machine Learning in Credit Scoring
Giovani Valdrighi, Athyrson M. Ribeiro, Jansen S. B. Pereira +8
The widespread use of machine learning in credit scoring has brought significant advancements in risk assessment and decision-making. However, it has also raised concerns about pot…