2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Balancing Performance and Reject Inclusion: A Novel Confident Inlier Extrapolation Framework for Credit Scoring
Athyrson Machado Ribeiro, Marcos Medeiros Raimundo
Reject Inference (RI) methods aim to address sample bias by inferring missing repayment data for rejected credit applicants. Traditional approaches often assume that the behavior o…
cs.LG2024★ 2 cited
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…