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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
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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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A dynamic artificial neural network model for forecasting time series events
Ghiassi, M.; Saidane, H.; Zimbra, D. K. - In: International journal of forecasting 21 (2005) 2, pp. 341-362
Persistent link: https://www.econbiz.de/10002688154
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Forecasting with gradient boosted trees : augmentation, tuning, and cross-validation strategies : winning solution to the M5 uncertainty competition
Lainder, A. David; Wolfinger, Russell D. - In: International journal of forecasting 38 (2022) 4, pp. 1426-1433
Persistent link: https://www.econbiz.de/10014381101
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Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
Nasios, Ioannis; Vogklis, Konstantinos - In: International journal of forecasting 38 (2022) 4, pp. 1448-1459
Persistent link: https://www.econbiz.de/10014381109
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Special section: Forecasting with artificial neural networks and computational intelligence
Crone, Sven F. (contributor);  … - In: International journal of forecasting 27 (2011) 3, pp. 633-816
Persistent link: https://www.econbiz.de/10009248258
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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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The relationship between model complexity and forecasting performance for computer intelligence optimization in finance
Ghandar, Adam; Michalewicz, Zbigniew; Zurbruegg, Ralf - In: International journal of forecasting 32 (2016) 3, pp. 598-613
Persistent link: https://www.econbiz.de/10011621732
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Predictive analysis and modelling football results using machine learning approach for English Premier League
Baboota, Rahul; Kaur, Harleen - In: International journal of forecasting 35 (2019) 2, pp. 741-755
Persistent link: https://www.econbiz.de/10012300725