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Artemios-Anargyros Semenoglou
Artemios-Anargyros Semenoglou
Forecasting & Strategy Unit, School of Electrical and Computer Engineering, National Technical
Adresse e-mail validée de fsu.gr
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Comparison of statistical and machine learning methods for daily SKU demand forecasting
E Spiliotis, S Makridakis, AA Semenoglou, V Assimakopoulos
Operational Research 22 (3), 3037-3061, 2022
1112022
Investigating the accuracy of cross-learning time series forecasting methods
AA Semenoglou, E Spiliotis, S Makridakis, V Assimakopoulos
International Journal of Forecasting 37 (3), 1072-1084, 2021
732021
Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward
S Makridakis, E Spiliotis, V Assimakopoulos, AA Semenoglou, G Mulder, ...
Journal of the Operational Research Society 74 (3), 840-859, 2023
702023
Data augmentation for univariate time series forecasting with neural networks
AA Semenoglou, E Spiliotis, V Assimakopoulos
Pattern Recognition 134, 109132, 2023
502023
Image-based time series forecasting: A deep convolutional neural network approach
AA Semenoglou, E Spiliotis, V Assimakopoulos
Neural Networks 157, 39-53, 2023
422023
Neural network ensembles for univariate time series forecasting
AA Semenoglou, E Spiliotis, V Assimakopoulos
Forecasting with Artificial Intelligence: Theory and Applications, 191-218, 2023
12023
Batch Forecasting utilizing ANNs
A Semenoglou
From models to pictures
AA Semenoglou, E Spiliotis, V Assimakopoulos
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