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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Bibliografiske detaljer

Principais autores:	Ibomoiye Domor Mienye, Ebenezer Esenogho, Cameron Modisane
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2026-04-01
Serier:	Information
Fag:	credit risk prediction deep learning convolutional neural networks transformers machine learning
Online adgang:	https://www.mdpi.com/2078-2489/17/4/395
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