Deep Learning for Credit Risk Prediction: A Survey of Methods, Applications, and Challenges
Credit risk prediction is central to financial stability and regulatory compliance, guiding lending decisions and portfolio risk management. While traditional approaches such as logistic regression and tree-based models have long been the industry standard, recent advances in deep learning (DL) have...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2026-04-01
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| Col·lecció: | Information |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2078-2489/17/4/395 |
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