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Artemios-Anargyros Semenoglou
Artemios-Anargyros Semenoglou
Forecasting & Strategy Unit, School of Electrical and Computer Engineering, National Technical
Verified email at fsu.gr
Title
Cited by
Cited by
Year
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
852022
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
672021
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
322023
Data augmentation for univariate time series forecasting with neural networks
AA Semenoglou, E Spiliotis, V Assimakopoulos
Pattern Recognition 134, 109132, 2023
242023
Image-based time series forecasting: A deep convolutional neural network approach
AA Semenoglou, E Spiliotis, V Assimakopoulos
Neural Networks 157, 39-53, 2023
192023
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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