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Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks
Barkan, Oren; Benchimol, Jonathan; Caspi, Itamar; … - In: International journal of forecasting 39 (2023) 3, pp. 1145-1162
Persistent link: https://www.econbiz.de/10014465250
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Incorporating textual information in customer churn prediction models based on a convolutional neural network
Caigny, Arno de; Coussement, Kristof; De Bock, Koen W.; … - In: International journal of forecasting 36 (2020) 4, pp. 1563-1578
Persistent link: https://www.econbiz.de/10012547130
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U-Convolutional model for spatio-temporal wind speed forecasting
Bastos, Bruno Quaresma; Oliveira, Fernando Luiz Cyrino; … - In: International journal of forecasting 37 (2021) 2, pp. 949-970
Persistent link: https://www.econbiz.de/10012794764
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DeepAR : probabilistic forecasting with autoregressive recurrent networks
Salinas, David; Flunkert, Valentin; Gasthaus, Jan; … - In: International journal of forecasting 36 (2020) 3, pp. 1181-1191
Persistent link: https://www.econbiz.de/10012498611
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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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Neural basis expansion analysis with exogenous variables : forecasting electricity prices with NBEATSx
Olivares, Kin G.; Challu, Cristian; Marcjasz, Grzegorz; … - In: International journal of forecasting 39 (2023) 2, pp. 884-900
Persistent link: https://www.econbiz.de/10014465161
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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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A solution for M5 Forecasting-uncertainty : Hybrid gradient boosting and autoregressive recurrent neural network for quantile estimation
Chiew, Ernest; Choong, Shin Siang - In: International journal of forecasting 38 (2022) 4, pp. 1442-1447
Persistent link: https://www.econbiz.de/10014381105
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Predicting bank insolvencies using machine learning techniques
Petropoulos, Anastasios; Siakoulis, Vasilis; … - In: International journal of forecasting 36 (2020) 3, pp. 1092-1113
Persistent link: https://www.econbiz.de/10012497724
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A hybrid machine learning model for forecasting a billing period’s peak electric load days
Saxena, Harshit; Aponte, Omar; McConky, Katie T. - In: International journal of forecasting 35 (2019) 4, pp. 1288-1303
Persistent link: https://www.econbiz.de/10012305279