Explainable Domain Adaptation Learning Framework for Credit Scoring in Internet Finance Through Adversarial Transfer Learning and Ensemble Fusion Model

Adversarial transfer learning is extensively applied in computer vision owing to its remarkable capability in addressing domain adaptation. However, its applications in credit scoring remain underexplored due to the complexity of financial data. The performance of traditional credit scoring models r...

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Principais autores:	Feiyang Xu, Runchi Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-03-01
coleção:	Mathematics
Assuntos:	credit scoring domain adaptation adversarial machine learning fusion model explainable artificial intelligence
Acesso em linha:	https://www.mdpi.com/2227-7390/13/7/1045
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