V. Assimakopoulos

发表

Statistical and Machine Learning forecasting methods: Concerns and ways forward

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis, 2018, PloS one.

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

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis, 2020 .

Forecasting: theory and practice

Fotios Petropoulos, Nikolaos Kourentzes, Daniele Apiletti, 2020, International Journal of Forecasting.

The M5 competition: Background, organization, and implementation

Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos, 2021, International Journal of Forecasting.

M5 accuracy competition: Results, findings, and conclusions

Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos, 2022, International Journal of Forecasting.

Investigating the accuracy of cross-learning time series forecasting methods

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis, 2020, International Journal of Forecasting.

The M4 Competition: Results, findings, conclusion and way forward

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis, 2018, International Journal of Forecasting.

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

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis, 2020, Operational Research.

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

Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos, 2022, J. Oper. Res. Soc..

Product sales probabilistic forecasting: An empirical evaluation using the M5 competition data

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis, 2021 .

Data augmentation for univariate time series forecasting with neural networks

Evangelos Spiliotis, Vassilios Assimakopoulos, Artemios-Anargyros Semenoglou, 2022, Pattern Recognit..

Exploring the representativeness of the M5 competition data

Evangelos A. Theodorou, E. Theodorou, Spyros Makridakis, 2021, International Journal of Forecasting.

Forecasting week-ahead hourly electricity prices in Belgium with statistical and machine learning methods

Fotios Petropoulos, Evangelos Spiliotis, Vassilios Assimakopoulos, 2020 .

Are forecasting competitions data representative of the reality?

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis, 2020 .

The M5 uncertainty competition: Results, findings and conclusions

R. L. Winkler, Spyros Makridakis, Evangelos Spiliotis, 2021, International Journal of Forecasting.

On the selection of forecasting accuracy measures

Fotios Petropoulos, Evangelos Spiliotis, Vassilios Assimakopoulos, 2021, J. Oper. Res. Soc..

Objectivity, reproducibility and replicability in forecasting research

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis, 2018, International Journal of Forecasting.

Improving the Performance of Popular Supply Chain Forecasting Techniques

Fotios Petropoulos, Konstantinos Nikolopoulos, Vassilios Assimakopoulos, 2011 .

Optimizing inventory control through a data-driven and model-independent framework

Evangelos A. Theodorou, E. Theodorou, Evangelos Spiliotis, 2022, EURO J. Transp. Logist..

The effect of challenge-based gamification on learning: An experiment in the context of statistics education

Vassilios Assimakopoulos, Kostas Karpouzis, Juho Hamari, 2020, International Journal of Human-Computer Studies.

Conditional Temporal Aggregation for Time Series Forecasting Using Feature-Based Meta-Learning

Evangelos Spiliotis, Vassilios Assimakopoulos, Anastasios Kaltsounis, 2023, Algorithms.

Improving the forecasting performance of temporal hierarchies

Fotios Petropoulos, Evangelos Spiliotis, Vassilios Assimakopoulos, 2019, PloS one.

D\'ej\`a vu: forecasting with similarity

Fotios Petropoulos, Evangelos Spiliotis, Vassilios Assimakopoulos, 2019, 1909.00221.

Déjà vu: A data-centric forecasting approach through time series cross-similarity

Fotios Petropoulos, Evangelos Spiliotis, Vassilios Assimakopoulos, 2019 .

The advanced Forecasting Information System PYTHIA: an application in time series of mortgage loans in U.K

Vassilios Assimakopoulos, F. Petropoulos, V. Assimakopoulos, 2008 .

Tales from tails: On the empirical distributions of forecasting errors and their implication to risk

Evangelos Spiliotis, Konstantinos Nikolopoulos, Vassilios Assimakopoulos, 2019, International Journal of Forecasting.

Hierarchical forecast reconciliation with machine learning pdf

Fotios Petropoulos, Evangelos Spiliotis, Vassilios Assimakopoulos, 2020, Appl. Soft Comput..

Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption

Fotios Petropoulos, Nikolaos Kourentzes, Evangelos Spiliotis, 2020, Applied Energy.

Generalizing the Theta method for automatic forecasting

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis, 2020, Eur. J. Oper. Res..

On the Disagreement of Forecasting Model Selection Criteria

Evangelos Spiliotis, Vassilios Assimakopoulos, F. Petropoulos, 2023, Forecasting.

Project management and financial monitoring in public sector: an information support system

Fotios Petropoulos, Vassilios Assimakopoulos, Elli Pagourtzi, 2011 .