A Deep Learning Approach for Credit Scoring Using Feature Embedded Transformer
In this paper, we introduce a transformer into the field of credit scoring based on user online behavioral data and develop an end-to-end feature embedded transformer (FE-Transformer) credit scoring approach. The FE-Transformer neural network is composed of two parts: a wide part and a deep part. Th...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/21/10995 |