Novel hybrid ensemble credit scoring model with stacking-based noise detection and weight assignment-Reference-Cited by-同舟云学术

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Novel hybrid ensemble credit scoring model with stacking-based noise detection and weight assignment

Published:2022-07 Issue: Volume:198 Page:116913
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Yao Jianrong,Wang Zhongyi,Wang Lu,Liu Meng,Jiang Hui,Chen Yuangao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference55 articles.

1. A comparative study on base classifiers in ensemble methods for credit scoring;Abelian;Expert Systems with Applications,2017

2. Classifiers consensus system approach for credit scoring;Ala'raj;Knowledge-Based Systems,2016

3. Systematic review of bankruptcy prediction models: Towards a framework for tool selection;Alaka;Expert Systems with Applications,2018

4. Breiman. (2001). Random forests. MACH LEARN, 2001,45(1), 5-32.

5. Bagging predictors;Breiman;Machine Learning,1996

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