Combination of Random Forests and Neural Networks in Social Lending

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ISSN Print: 2167-9533
ISSN Online: 2167-9541

Website: https://www.scirp.org/journal/jfrm
E-mail: jfrm@scirp.org

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Submission

"Combination of Random Forests and Neural Networks in Social Lending"
written by Yijie Fu,
published by Journal of Financial Risk Management, Vol.6 No.4, 2017

has been cited by the following article(s):

[1]	Spectral Clustering and Cost-Sensitive Deep Neural Network-Based Undersampling Approach for P2P Lending Data
	2020

[2]	Improving Investment Suggestions for Peer-to-Peer Lending via Integrating Credit Scoring into Profit Scoring
	2020

[3]	An ensemble semi-supervised learning method for predicting defaults in social lending
	2019

[4]	Credit Risk Analysis in Peer to Peer Lending Data set: Lending Club
	2019

[5]	Predicting repayment of borrows in peer‐to‐peer social lending with deep dense convolutional network
	2019

[6]	Análise automática da presença cognitiva em discussões online escritas em português
	2018

[7]	Deep Dense Convolutional Networks for Repayment Prediction in Peer-to-Peer Lending
	International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, 2018

[8]	A Credit Risk Predicting Hybrid Model Based on Deep Learning Technology

[1]	Improving Investment Suggestions for Peer-to-Peer Lending via Integrating Credit Scoring into Profit Scoring Proceedings of the 2020 ACM Southeast Conference, 2020 DOI:10.1145/3374135.3385272

[2]	International Joint Conference SOCO’18-CISIS’18-ICEUTE’18 Advances in Intelligent Systems and Computing, 2019 DOI:10.1007/978-3-319-94120-2_13

[3]	An ensemble semi-supervised learning method for predicting defaults in social lending Engineering Applications of Artificial Intelligence, 2019 DOI:10.1016/j.engappai.2019.02.014

[4]	Predicting repayment of borrows in peer‐to‐peer social lending with deep dense convolutional network Expert Systems, 2019 DOI:10.1111/exsy.12403