Using Artificial Intelligence and Deep Learning Applications in Credit Risk Analysis
DOI:
https://doi.org/10.48047/rzb7xq74Keywords:
Artificial Intelligence, Deep Learning, Credit Risk Management, Predictive Analytics.Abstract
This study aims to develop a high-performing predictive model capable of classifying a credit file as *good* or *bad*, in order to help financial institutions reduce the risks of default and optimize their credit decision-making processes.
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References
Edward I. Altman. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance, 23(4):589–609, 1968.
A. B. Arrieta, N. Diaz-Rodriguez, S. Garc´ıa, S. Gonzalez, A. Bennetot, S. Tabik, and et al. Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai. Information Fusion, 58:82–115, 2020. [3] Alejandro Barredo Arrieta et al. Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai. Information Fusion, 58:82–115, 2020.
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