Loan Default Prediction Using Diversified Sensitivity Undersampling-Reference-Cited by-同舟云学术

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Loan Default Prediction Using Diversified Sensitivity Undersampling

Published:2018-07 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Machine Learning and Cybernetics (ICMLC)
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Author:

Chen Ya-Qi,Zhang Jianjun,Ng Wing W. Y.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8501632/8526918/08526936.pdf?arnumber=8526936

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Local Explanation of Practical Industrial AI Applications: A Systematic Literature Review;Applied Sciences;2023-05-08

2. LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

3. A Deep Learning Approach for Loan Default Prediction Using Imbalanced Dataset;International Journal of Intelligent Information Technologies;2023-03-03

4. Whale social optimization driven deep recurrent neural network for loan eligibility prediction;Concurrency and Computation: Practice and Experience;2022-12-09

5. Vehicle Loan Fraud Prediction using Data Science And Machine Learning Techniques;2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS);2022-05-25

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