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Cognitive Modelling of Bankruptcy Risk: A Comparative Analysis of Machine Learning Models to Predict the Bankruptcy
2024 12th International Symposium on Digital Forensics and Security (ISDFS),
2024
DOI:10.1109/ISDFS60797.2024.10527269
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[2]
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An Overview of AI and Advanced Algorithmic Applications in Financial Risk
International Journal of Innovative Science and Research Technology (IJISRT),
2024
DOI:10.38124/ijisrt/IJISRT24MAY2125
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[3]
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Predicting accounting fraud using imbalanced ensemble learning classifiers – evidence from China
Accounting & Finance,
2023
DOI:10.1111/acfi.13044
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[4]
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Kredi Temerrüt Riskini Tahmin Etmede Makine Öğrenme Algoritmalarının Karşılaştırılması
European Journal of Science and Technology,
2023
DOI:10.31590/ejosat.1171611
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[5]
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Predicting accounting fraud using imbalanced ensemble learning classifiers – evidence from China
Accounting & Finance,
2023
DOI:10.1111/acfi.13044
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[6]
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A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques
Results in Engineering,
2023
DOI:10.1016/j.rineng.2023.101388
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[7]
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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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Advanced Intelligent Systems for Sustainable Development (AI2SD’2020)
Advances in Intelligent Systems and Computing,
2022
DOI:10.1007/978-3-030-90633-7_80
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[9]
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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
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[10]
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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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[11]
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Comparison between Convolutional Neural Network and Convolutional Neural Network-Support Vector Machines as the classifier for Colon Cancer
2020 International Conference on Decision Aid Sciences and Application (DASA),
2020
DOI:10.1109/DASA51403.2020.9317103
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[12]
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Machine Learning in Banking Risk Management: A Literature Review
Risks,
2019
DOI:10.3390/risks7010029
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[13]
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Machine Learning in Banking Risk Management: A Literature Review
Risks,
2019
DOI:10.3390/risks7010029
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