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Wage against the machine : a generalized deep-learning market test of dataset value
Maymin, Philip Z. - In: International journal of forecasting 35 (2019) 2, pp. 776-782
Persistent link: https://www.econbiz.de/10012300728
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Probabilistic recalibration of forecasts
Graziani, Carlo; Rosner, Robert; Adams, Jennifer M.; … - In: International journal of forecasting 37 (2021) 1, pp. 1-27
Persistent link: https://www.econbiz.de/10012692513
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How to "improve" prediction using behavior modification
Shmueli, Galit; Tafti, Ali - In: International journal of forecasting 39 (2023) 2, pp. 541-555
Persistent link: https://www.econbiz.de/10014465055
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Simple averaging of direct and recursive forecasts via partial pooling using machine learning
In, YeonJun; Jung, Jae-Yoon - In: International journal of forecasting 38 (2022) 4, pp. 1386-1399
Persistent link: https://www.econbiz.de/10014381094
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Machine learning methods for GEFCom2017 probabilistic load forecasting
Smyl, Slawek; Hua, N. Grace - In: International journal of forecasting 35 (2019) 4, pp. 1424-1431
Persistent link: https://www.econbiz.de/10012305365
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A machine learning-based framework for forecasting sales of new products with short life cycles using deep neural networks
Elalem, Yara Kayyali; Maier, Sebastian; Seifert, Ralf W. - In: International journal of forecasting 39 (2023) 4, pp. 1874-1894
Persistent link: https://www.econbiz.de/10014465364
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Demand forecasting for fashion products : a systematic review
Swaminathan, Kritika; Venkitasubramony, Rakesh - In: International journal of forecasting 40 (2024) 1, pp. 247-267
Persistent link: https://www.econbiz.de/10014450269
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Graded forecasting using an array of bipolar predictions : application of probabilistic neural networks to a stock market index
Kim, Steven H.; Se Hak, Chun - In: International journal of forecasting 14 (1998) 3, pp. 323-337
Persistent link: https://www.econbiz.de/10001367678
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Box office forecasting using machine learning algorithms based on SNS data
Kim, Taegu; Hong, Jungsik; Kang, Pilsung - In: International journal of forecasting 31 (2015) 2, pp. 364-390
Persistent link: https://www.econbiz.de/10011474110
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Forecasting bank failures and stress testing : a machine learning approach
Gkonkas, Periklēs; Papadimitriou, Theophilos; … - In: International journal of forecasting 34 (2018) 3, pp. 440-455
Persistent link: https://www.econbiz.de/10012031002