An explainable fairness-aware deep learning framework for credit score classification on imbalanced financial data
Ali Al-Ataby; Waleed Al-Nuaimy · DOAJ Open Access Articles
Deep learning-based credit scoring systems face three interrelated challenges typically addressed in isolation: unavoidable class imbalance, model opacity, and demographic inequalities. This paper proposes the Explainable Fairness-Aware Deep Learning (EFADL) framework, which is a unified end-to-end pipeline designed to mitigate these risks simultaneously. Th…
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