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A deep learning model for online doctor rating prediction
Kulshrestha, Anurag; Krishnaswamy, Venkataraghavan; … - In: Journal of forecasting 42 (2023) 5, pp. 1245-1260
Persistent link: https://www.econbiz.de/10014338867
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Forecasting ski demand : comparing learning curve and varying parameter coefficient approaches
Riddington, Geoff L. - In: Journal of forecasting 18 (1999) 3, pp. 205-214
Persistent link: https://www.econbiz.de/10001433714
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Judgement in learning-curve forecasting : a labratory study
Bailey, Charles D.; Gupta, Sanjay - In: Journal of forecasting 18 (1999) 1, pp. 39-57
Persistent link: https://www.econbiz.de/10001363670
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Volatility forecasting for stock market index based on complex network and hybrid deep learning model
Song, Yuping; Lei, Bolin; Tang, Xiaolong; Li, Chen - In: Journal of forecasting 43 (2024) 3, pp. 544-566
Persistent link: https://www.econbiz.de/10014532346
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Fama-French three versus five, which model is better? : a machine learning approach
Diallo, Boubacar; Bagudu, Aliyu; Zhang, Qi - In: Journal of forecasting 42 (2023) 6, pp. 1461-1475
Persistent link: https://www.econbiz.de/10014338932
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Credit scoring prediction leveraging interpretable ensemble learning
Liu, Yang; Huang, Fei; Ma, Lili; Zeng, Qingguo; Shi, Jiale - In: Journal of forecasting 43 (2024) 2, pp. 286-308
Persistent link: https://www.econbiz.de/10014475312
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Mixed-frequency predictive regressions with parameter learning
Leippold, Markus; Yang, Hanlin - In: Journal of forecasting 42 (2023) 8, pp. 1955-1972
Persistent link: https://www.econbiz.de/10014432824
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Volatility forecasting for stock market incorporating macroeconomic variables based on GARCH-MIDAS and deep learning models
Song, Yuping; Tang, Xiaolong; Wang, Hemin; Ma, Zhiren - In: Journal of forecasting 42 (2023) 1, pp. 51-59
Persistent link: https://www.econbiz.de/10013465760
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Using deep (machine) learning to forecast US inflation in the COVID-19 era
Stoneman, David; Duca, John V. - In: Journal of forecasting 43 (2024) 4, pp. 894-902
Persistent link: https://www.econbiz.de/10014554047
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Prediction of daily tourism volume based on maximum correlation minimum redundancy feature selection and long short-term memory network
Ming, Yin; Lu, Feiya; Zhuo, Xingxuan; Yao, Wangzi; Liu, … - In: Journal of forecasting 43 (2024) 2, pp. 344-365
Persistent link: https://www.econbiz.de/10014475324