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Assimakopoulos, Vassilios
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1

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/..
 
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2

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/..
 
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3

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/..
 
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4

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/..
 
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5

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/..
 
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6

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/..
 
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7

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/..
 
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8

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/..
 
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9

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/..
 
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10

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/..
 
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11

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/..
 
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12

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/..
 
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13

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/..
 
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14

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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15

Déjà vu: A data-centric forecasting approach through time s..:

Kang, Yanfei ; Spiliotis, Evangelos ; Petropoulos, Fotios...
Journal of Business Research.  132 (2021)  - p. 719-731 , 2021
Link: https://doi.org/10.1016/..
 
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