Wide and deep learning for peer-to-peer lending-Reference-Cited by-同舟云学术

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Wide and deep learning for peer-to-peer lending

Published:2019-11 Issue: Volume:134 Page:209-224
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Bastani Kaveh,Asgari Elham,Namavari Hamed

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference32 articles.

1. The utility of hierarchical dirichlet process for relationship detection of latent constructs;Asgari,2017

2. Not if but when borrowers default;Banasik;Journal of Operational Research Society,1999

3. Large-scale machine learning with stochastic gradient descent;Bottou,2010

4. Linear regression with censored data;Buckley;Biometrika,1979

5. SMOTE: Synthetic minority over-sampling technique;Chawla;Journal of Artificial Intelligence Research,2002

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1. Credit scoring using multi-task Siamese neural network for improving prediction performance and stability;Expert Systems with Applications;2025-01

2. Macroeconomic environment and the future performance of loans: Evidence from three peer-to-peer platforms;International Review of Financial Analysis;2024-10

3. Profit-sensitive machine learning classification with explanations in credit risk: The case of small businesses in peer-to-peer lending;Electronic Commerce Research and Applications;2024-09

4. Estimation of default and pricing for invoice trading (P2B) on crowdlending platforms;Financial Innovation;2024-06-08

5. Credit Risk Modelling Using RNN-LSTM Hybrid Model for Digital Financial Institutions;International Journal of Statistical Distributions and Applications;2024-04-11

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