Source: http://fsu.gr/el/%CE%AD%CF%81%CE%B5%CF%85%CE%BD%CE%B1/%CE%B4%CE%B7%CE%BC%CE%BF%CF%83%CE%B9%CE%B5%CF%8D%CF%83%CE%B5%CE%B9%CF%82
Timestamp: 2019-04-19 08:26:03+00:00

Document:
Spiliotis, E., Kouloumos, A., Assimakopoulos, V. & Makridakis, S. (2019). Are forecasting competitions data representative of the reality? International Journal of Forecasting.
Spiliotis, E., Nikolopoulos, K. & Assimakopoulos, V. (2019). Tales from tails: On the empirical distributions of forecasting errors and their implication to risk. International Journal of Forecasting.
Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2018). The M4 Competition: Results, findings, conclusion and way forward. International Journal of Forecasting, 34(4), 802-808.
Makridakis, S., Assimakopoulos, V. & Spiliotis, E. (2018). Objectivity, reproducibility and replicability in forecasting research. International Journal of Forecasting, 34(4), 835-838.
Makridakis, S., Spiliotis, E. & Assimakopoulos, V. (2018). Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLOS ONE, 13(3), 1-26.
Androulaki, S., Doukas, H., Spiliotis, E., Papastamatiou, I. & Psarras, J. (2016). A framework to assess the behavior and performance of a city towards energy optimization. Chapter in book: Intelligent Computing Systems, Edition: 2016, Series Volume 627, Chapter: 9, Publisher: Springer-Verlag Berlin Heidelberg, Editors: Tsihrintzis, G. A., Virvou, M. & Lakhmi, C. J.
Desipri, K., Legaki, N.Z. & Assimakopoulos, V. (2014). Determinants of domestic electricity consumption and energy behavior: A Greek case study. 5th International Conference on Information, Intelligence, Systems and Applications - IISA 2014, 144-149.

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