Cost-sensitive stacking ensemble learning for company financial distress prediction-Reference-Cited by-同舟云学术

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Cost-sensitive stacking ensemble learning for company financial distress prediction

Published:2024-12 Issue: Volume:255 Page:124525
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Shanshan^ORCID,Chi Guotai

Publisher

Elsevier BV

Reference66 articles.

1. Metafraud: A meta-learning framework for detecting financial fraud;Abbasi;Mis Quarterly,2012

2. Bagging supervised autoencoder classifier for credit scoring;Abdoli;Expert Systems with Applications,2023

3. Genetic programming for credit scoring: The case of Egyptian public sector banks;Abdou;Expert Systems with Applications,2009

4. A new hybrid ensemble credit scoring model based on classifiers consensus system approach;Ala'raj;Expert Systems with Applications,2016

5. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy;Altman;Journal of Finance,1968

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