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Statistical, machine learning and deep learning forecasting methods : comparisons and ways forward

Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: Journal of the Operational Research Society 74 (2023) 3, pp. 840-859

Persistent link: https://www.econbiz.de/10014332223

Fathoming empirical forecasting competitions' winners

Alroomi, Azzam; Karamatzanis, Georgios; Nikolopoulos, … - In: International journal of forecasting 38 (2022) 4, pp. 1519-1525

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Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail

Punia, Sushil; Nikolopoulos, Konstantinos; Singh, Surya … - In: International journal of production research 58 (2020) 16, pp. 4964-4979

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Forecasting in social settings : the state of the art

Makridakis, Spyros G.; Hyndman, Rob J.; Petropoulos, Fotios - In: International journal of forecasting 36 (2020) 1, pp. 15-28

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M5 accuracy competition : results, findings, and conclusions

Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 38 (2022) 4, pp. 1346-1364

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The M5 uncertainty competition : results, findings and conclusions

Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 38 (2022) 4, pp. 1365-1385

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The M4 competition: results, findings, conclusion and way forward

Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 34 (2018) 4, pp. 802-808

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The M4 competition : 100,000 time series and 61 forecasting methods

Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 36 (2020) 1, pp. 54-74

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Comparison of statistical and machine learning methods for daily SKU demand forecasting

Spiliotis, Evangelos; Makridakis, Spyros G.; … - In: Operational research : an international journal 22 (2022) 3, pp. 3037-3061

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Forecasting with Artificial Intelligence : Theory and Applications

Hamoudia, Mohsen (ed.); Makridakis, Spyros G. (ed.); … - 2023

Part I. Artificial intelligence : present and future -- 1. Human intelligence (HI) versus artificial intelligence (AI) and intelligence augmentation (IA) -- 2. Expecting the future: How AI's potential performance will shape current behavior -- Part II. The status of machine learning methods for...

Persistent link: https://www.econbiz.de/10014369591