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CatBoost model and artificial intelligence techniques for corporate failure prediction

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  1. Carmona, Pedro & Dwekat, Aladdin & Mardawi, Zeena, 2022. "No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure," Research in International Business and Finance, Elsevier, vol. 61(C).
  2. Li, Renzheng & Hong, Jichao & Zhang, Huaqin & Chen, Xinbo, 2022. "Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles," Energy, Elsevier, vol. 257(C).
  3. Dai, Xue Dong & Niu, Lisi, 2024. "The impact of judicial prejudice in bankruptcy on creditors and local financial development," Finance Research Letters, Elsevier, vol. 67(PA).
  4. Liu, Zhenkun & Jiang, Ping & De Bock, Koen W. & Wang, Jianzhou & Zhang, Lifang & Niu, Xinsong, 2024. "Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  5. Kocaarslan, Baris & Soytas, Ugur, 2023. "The role of major markets in predicting the U.S. municipal green bond market performance: New evidence from machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  6. Rashinda Wijethunga & Hooman Nouraei & Craig Zych & Jagath Samarabandu & Ayan Sadhu, 2024. "Precision Leak Detection in Supermarket Refrigeration Systems Integrating Categorical Gradient Boosting with Advanced Thresholding," Energies, MDPI, vol. 17(3), pages 1-23, February.
  7. Mohsin, Muhammad & Jamaani, Fouad, 2023. "Green finance and the socio-politico-economic factors’ impact on the future oil prices: Evidence from machine learning," Resources Policy, Elsevier, vol. 85(PA).
  8. Akhrorbek Tukhtaev & Dilmurod Turimov & Jiyoun Kim & Wooseong Kim, 2024. "Feature Selection and Machine Learning Approaches for Detecting Sarcopenia Through Predictive Modeling," Mathematics, MDPI, vol. 13(1), pages 1-26, December.
  9. Li, Jiajia & Yang, Shiyu & Li, Jun & Li, Houjian, 2024. "Targeting SDG7: Identifying heterogeneous energy dilemmas for socially disadvantaged groups in India using machine learning," Energy Economics, Elsevier, vol. 138(C).
  10. Pejman Peykani & Moslem Peymany Foroushany & Cristina Tanasescu & Mostafa Sargolzaei & Hamidreza Kamyabfar, 2025. "Evaluation of Cost-Sensitive Learning Models in Forecasting Business Failure of Capital Market Firms," Mathematics, MDPI, vol. 13(3), pages 1-29, January.
  11. Junyoung Jeong & Keuntae Cho, 2024. "Proposing Machine Learning Models Suitable for Predicting Open Data Utilization," Sustainability, MDPI, vol. 16(14), pages 1-23, July.
  12. Herrera, Rubén & Climent, Francisco & Carmona, Pedro & Momparler, Alexandre, 2022. "The manipulation of Euribor: An analysis with machine learning classification techniques," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  13. Xiaoyu Li & Tengyuan Wang & Jiaxu Li & Yong Tian & Jindong Tian, 2022. "Energy Consumption Estimation for Electric Buses Based on a Physical and Data-Driven Fusion Model," Energies, MDPI, vol. 15(11), pages 1-17, June.
  14. Abhinash Jenasamanta & Subrajeet Mohapatra, 2022. "An automated system for the assessment and grading of adolescent delinquency using a machine learning-based soft voting framework," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
  15. Zhou, Hanmi & Ma, Linshuang & Niu, Xiaoli & Xiang, Youzhen & Chen, Jiageng & Su, Yumin & Li, Jichen & Lu, Sibo & Chen, Cheng & Wu, Qi, 2024. "A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain," Agricultural Water Management, Elsevier, vol. 296(C).
  16. Berigel, Muhammet & Boztaş, Gizem Dilan & Rocca, Antonella & Neagu, Gabriela, 2024. "Using machine learning for NEETs and sustainability studies: Determining best machine learning algorithms," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
  17. Xinyue Yu & Libo Fan & Yang Yu, 2025. "Artificial Intelligence and Corporate ESG Performance: A Mechanism Analysis Based on Corporate Efficiency and External Environment," Sustainability, MDPI, vol. 17(9), pages 1-22, April.
  18. Li, Xinqian & Zhang, Jing & An, Duo, 2024. "Banking crises and corporate trade credit: The role of creditor protection," Finance Research Letters, Elsevier, vol. 65(C).
  19. Lisa Crosato & Caterina Liberati & Marco Repetto, 2021. "Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default," Papers 2108.13914, arXiv.org, revised Sep 2021.
  20. Erhao Zhang & Ning Ding & Lixuan Yang & Yang Wang & Jiguang Shi & Yingjian Xu, 2025. "Perception of earthquake and analysis of its impact factors based on interpretable machine learning: data from the 6 august 2023 earthquake in Pingyuan County, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(6), pages 6801-6829, April.
  21. Song, Yang & Li, Runfei & Zhang, Zhipeng & Sahut, Jean-Michel, 2024. "ESG performance and financial distress prediction of energy enterprises," Finance Research Letters, Elsevier, vol. 65(C).
  22. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
  23. Nigmonov, Asror & Shams, Syed & Urbonas, Povilas, 2024. "Estimating probability of default via delinquencies? Evidence from European P2P lending market," Global Finance Journal, Elsevier, vol. 63(C).
  24. Jamei, Mehdi & Karbasi, Masoud & Malik, Anurag & Jamei, Mozhdeh & Kisi, Ozgur & Yaseen, Zaher Mundher, 2022. "Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms," Agricultural Water Management, Elsevier, vol. 269(C).
  25. Hamza Bouguerra & Salah Eddine Tachi & Hamza Bouchehed & Gordon Gilja & Nadir Aloui & Yacine Hasnaoui & Abdelmalek Aliche & Saâdia Benmamar & Jose Navarro-Pedreño, 2023. "Integration of High-Accuracy Geospatial Data and Machine Learning Approaches for Soil Erosion Susceptibility Mapping in the Mediterranean Region: A Case Study of the Macta Basin, Algeria," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
  26. Michal Pavlicko & Marek Durica & Jaroslav Mazanec, 2021. "Ensemble Model of the Financial Distress Prediction in Visegrad Group Countries," Mathematics, MDPI, vol. 9(16), pages 1-26, August.
  27. Yang, Yutao & Lan, Tian, 2024. "Boosting Sports Card Sales: Leveraging Visual Display and Machine Learning in Online Retail," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  28. Ben Jabeur, Sami & Serret, Vanessa, 2023. "Bankruptcy prediction using fuzzy convolutional neural networks," Research in International Business and Finance, Elsevier, vol. 64(C).
  29. Peng, Michael & Stern, Elisheva R. & Hu, Hanwen, 2025. "Forecasting China bond default with severe class-imbalanced data: A simple learning model with causal inference," Economic Modelling, Elsevier, vol. 144(C).
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