Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods-Reference-Cited by-同舟云学术

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Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods

Published:2021-08-25 Issue: Volume: Page:
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Container-title:2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
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Author:

Siham Akil,Sara Sekkate,Abdellah Adib

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9548323/9548115/09548410.pdf?arnumber=9548410

Cited by 9 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. Enhancing Credit Scoring Models with Monte Carlo Simulated Features;2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC);2024-05-21

2. A Synthesis on Machine Learning for Credit Scoring: A Technical Guide;Lecture Notes in Networks and Systems;2024

3. Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

4. What Is the Impact of the Energy Class on Market Value Assessments of Residential Buildings? An Analysis throughout Northern Italy Based on Extensive Data Mining and Artificial Intelligence;Buildings;2023-11-30

5. “Location, Location, Location”: Fluctuations in Real Estate Market Values after COVID-19 and the War in Ukraine Based on Econometric and Spatial Analysis, Random Forest, and Multivariate Regression;Land;2023-06-19

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