Incorporating Feature Interactions and Contrastive Learning for Credit Prediction

Author:

Zhang Lisi1ORCID,Yu Qiancheng1ORCID,Zhou Beijing1,Zhang Yifan1,Hu Zhiyong1ORCID

Affiliation:

1. College of Computer Science and Engineering, North Minzu University, Ningxia, China

Funder

Ningxia Key Research and Development Plan

2022 Ningxia Autonomous Region Key Research and Development Plan

2022 University Research Platform “Digital Agriculture Empowering Ningxia Rural Revitalization Innovation Team” of North Minzu University

Major Key Project of School-Enterprise Joint Innovation in Yinchuan 2022

“Innovation Team for Image and Intelligent Information Processing” under the National Ethnic Affairs Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference27 articles.

1. Deep learning methods for credit card fraud detection;thi nguyen;arXiv 2012 03754,2020

2. Credit risk assessment of P2P lending platform towards big data based on BP neural network

3. Construction and application of credit risk control model based on deep neural network;zhang,2021

4. Research on credit scoring integration model combined with deep learning optimization algorithm;he,2021

5. An intelligent bankruptcy prediction model using a multilayer perceptron

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