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1

Conditional Temporal Aggregation for Time Series Forecastin..:

Kaltsounis, Anastasios ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios
Algorithms. 16 (2023) 4 - p. 206 , 2023

Link: https://doi.org/10.3390/..

2

Data augmentation for univariate time series forecasting wi..:

Semenoglou, Artemios-Anargyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios
Pattern Recognition. 134 (2023) - p. 109132 , 2023

Link: https://doi.org/10.1016/..

3

Optimizing inventory control through a data-driven and mode..:

Theodorou, Evangelos ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios
EURO Journal on Transportation and Logistics. 12 (2023) - p. 100103 , 2023

Link: https://doi.org/10.1016/..

4

Image-based time series forecasting: A deep convolutional n..:

Semenoglou, Artemios-Anargyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios
Neural Networks. 157 (2023) - p. 39-53 , 2023

Link: https://doi.org/10.1016/..

5

Neural Network Ensembles for Univariate Time Series Forecas..:

, In: Palgrave Advances in the Economics of Innovation and Technology; Forecasting with Artificial Intelligence,

Semenoglou, Artemios-Anargyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios - p. 191-218 , 2023

Link: https://doi.org/10.1007/..

6

On the Disagreement of Forecasting Model Selection Criteria:

Spiliotis, Evangelos ; Petropoulos, Fotios ; Assimakopoulos, Vassilios
Forecasting. 5 (2023) 2 - p. 487-498 , 2023

Link: https://doi.org/10.3390/..

7

Exploring the representativeness of the M5 competition data:

Theodorou, Evangelos ; Wang, Shengjie ; Kang, Yanfei...
International Journal of Forecasting. 38 (2022) 4 - p. 1500-1506 , 2022

Link: https://doi.org/10.1016/..

8

Forecasting: theory and practice:

Petropoulos, Fotios ; Apiletti, Daniele ; Assimakopoulos, Vassilios...
International Journal of Forecasting. 38 (2022) 3 - p. 705-871 , 2022

Link: https://doi.org/10.1016/..

9

Predicting/hypothesizing the findings of the M5 competition:

Makridakis, Spyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios
International Journal of Forecasting. 38 (2022) 4 - p. 1337-1345 , 2022

Link: https://doi.org/10.1016/..

10

M5 accuracy competition: Results, findings, and conclusions:

Makridakis, Spyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios
International Journal of Forecasting. 38 (2022) 4 - p. 1346-1364 , 2022

Link: https://doi.org/10.1016/..

11

The M5 uncertainty competition: Results, findings and concl..:

Makridakis, Spyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios...
International Journal of Forecasting. 38 (2022) 4 - p. 1365-1385 , 2022

Link: https://doi.org/10.1016/..

12

The M5 competition: Background, organization, and implement..:

Makridakis, Spyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios
International Journal of Forecasting. 38 (2022) 4 - p. 1325-1336 , 2022

Link: https://doi.org/10.1016/..

13

Responses to the discussions and commentaries of the M5 Spe..:

Makridakis, Spyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios
International Journal of Forecasting. 38 (2022) 4 - p. 1569-1575 , 2022

Link: https://doi.org/10.1016/..

14

Statistical, machine learning and deep learning forecasting..:

Makridakis, Spyros ; Spiliotis, Evangelos ; Assimakopoulos, Vassilios...
Journal of the Operational Research Society. 74 (2022) 3 - p. 840-859 , 2022

Link: https://doi.org/10.1080/..

15

Gamification to avoid cognitive biases: An experiment of ga..:

Legaki, Nikoletta-Zampeta ; Karpouzis, Kostas ; Assimakopoulos, Vassilios.
Technological Forecasting and Social Change. 167 (2021) - p. 120725 , 2021

Link: https://doi.org/10.1016/..

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