Bagging Supervised Autoencoder Classifier for credit scoring

Automatic credit scoring, a crucial risk management tool for banks and financial institutes, has attracted much attention in the past few decades. As such, various approaches have been developed to accurately and efficiently estimate defaults in loan applicants and seamlessly improve and facilitate...

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Veröffentlicht in:	Expert systems with applications Jg. 213; S. 118991
Hauptverfasser:	Abdoli, Mahsan, Akbari, Mohammad, Shahrabi, Jamal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2023
Schlagworte:	Autoencoder Credit scoring Ensemble learning Imbalanced data Multi-task learning Imbalanced data Ensemble learning Autoencoder Multi-task learning Credit scoring
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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