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Interpreting the prediction results of the tree-based gradient boosting models for financial distress prediction with an explainable machine learning approach
Liu, Jiaming; Li, Chengzhang; Ouyang, Peng; Liu, Jiajia; … - In: Journal of forecasting 42 (2023) 5, pp. 1112-1137
Persistent link: https://www.econbiz.de/10014338816
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Enhancing credit risk prediction based on ensemble tree-based feature transformation and logistic regression
Liu, Jiaming; Liu, Jiajia; Wu, Chong; Wang, Shouyang - In: Journal of forecasting 43 (2024) 2, pp. 429-455
Persistent link: https://www.econbiz.de/10014475349
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Interval time series forecasting : a systematic literature review
Wang, Piao; Gurmani, Shahid Hussain; Tao, Zhifu; Liu, Jinpei - In: Journal of forecasting 43 (2024) 2, pp. 249-285
Persistent link: https://www.econbiz.de/10014475309
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A multisource data-driven combined forecasting model based on internet search keyword screening method for interval soybean futures price
Luo, Rui; Liu, Jinpei; Wang, Piao; Tao, Zhifu; Chen, Huayou - In: Journal of forecasting 43 (2024) 2, pp. 366-390
Persistent link: https://www.econbiz.de/10014475339
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A hybrid interval-valued time series prediction model incorporating intuitionistic fuzzy cognitive map and fuzzy neural network
Zhang, Jiajia; Tao, Zhifu; Liu, Jinpei; Liu, Xi; Chen, … - In: Journal of forecasting 44 (2025) 1, pp. 93-111
Persistent link: https://www.econbiz.de/10015373968