Research on P2P Credit Risk Assessment Model Based on RBM Feature Extraction

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ISSN Print: 2329-3284
ISSN Online: 2329-3292
www.scirp.org/journal/ojbm
E-mail: ojbm@scirp.org

"Research on P2P Credit Risk Assessment Model Based on RBM Feature Extraction—Take SME Customers as an Example"
written by Jianhui Yang, Qiman Li, Dongsheng Luo,
published by Open Journal of Business and Management, Vol.7 No.4, 2019

has been cited by the following article(s):

[1]	Machine learning-driven credit risk: a systemic review
	Neural Computing and …, 2022

[2]	“ANALISIS IMPLEMENTASI POJK TERHADAP MITIGASI RISIKO PADA FINANCIAL TECHNOLOGY PEER TO PEER LENDING BERBASIS SYARIAH DALAM …
	2022

[3]	Mitigation of Default Risk through Insurance in Peer-to-Peer Lending Financial Technology
	… , ICOLEG 2021, 29-30 June 2021 …, 2021

[4]	Personal credit risk evaluation model of p2p online lending based on AHP
	2021

[5]	Research on operational research-based financial model based on e-commerce platform
	2021

[6]	Low rank representation and discriminant analysis-based models for peer-to-peer default risk assessment
	2021

[7]	Pengaturan Dan Penerapan Mitigasi Risiko Dalam Penyelenggaraan Peer To Peer Lending Guna Mencegah Pinjaman Bermasalah
	2020

[8]	Bank Credit Risk Management Using Machine Learning Algorithms
	2020

[1]	Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science Intelligent Decision Technologies, 2023 DOI:10.3233/IDT-230190

[2]	Low rank representation and discriminant analysis-based models for peer-to-peer default risk assessment Journal of Systems and Information Technology, 2022 DOI:10.1108/JSIT-03-2020-0040

[3]	Machine learning-driven credit risk: a systemic review Neural Computing and Applications, 2022 DOI:10.1007/s00521-022-07472-2

[4]	Research on operational research-based financial model based on e-commerce platform Information Systems and e-Business Management, 2021 DOI:10.1007/s10257-021-00509-4

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