Machine Learning Approaches to Predicting Company Bankruptcy

Journal of Financial Risk Management

ISSN Print: 2167-9533
ISSN Online: 2167-9541
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"Machine Learning Approaches to Predicting Company Bankruptcy"
written by Wenhao Zhang,
published by Journal of Financial Risk Management, Vol.6 No.4, 2017

has been cited by the following article(s):

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[1]	Predicting accounting fraud using imbalanced ensemble learning classifiers – evidence from China Accounting & Finance, 2023 DOI:10.1111/acfi.13044

[2]	Kredi Temerrüt Riskini Tahmin Etmede Makine Öğrenme Algoritmalarının Karşılaştırılması European Journal of Science and Technology, 2023 DOI:10.31590/ejosat.1171611

[3]	Predicting accounting fraud using imbalanced ensemble learning classifiers – evidence from China Accounting & Finance, 2023 DOI:10.1111/acfi.13044

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[5]	Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction The Knowledge Engineering Review, 2022 DOI:10.1017/S026988892100014X

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[7]	An Analysis of Convolutional Neural Network—Random Forest for Liver Cancer CT Scan Images 2021 International Conference on Decision Aid Sciences and Application (DASA), 2021 DOI:10.1109/DASA53625.2021.9682343

[8]	Ovarian cancer classification using K-Nearest Neighbor and Support Vector Machine Journal of Physics: Conference Series, 2021 DOI:10.1088/1742-6596/1821/1/012007

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[10]	Machine Learning in Banking Risk Management: A Literature Review Risks, 2019 DOI:10.3390/risks7010029

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