Dolores: a model that predicts football match outcomes from all over the world

Author:

Constantinou Anthony C.ORCID

Funder

European Research Council

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference51 articles.

1. Angelini, G., & Angelis, L. D. (2017). PARX model for football match predictions. Journal of Forecasting, 36, 795.

2. Arabzad, S. M., Araghi, M. E. T., Sadi-Nezhad, S., & Ghofrani, N. (2014). Football match results prediction using artificial neural networks; The case of Iran Pro League. International Journal of Applied Research on Industrial Engineering, 1(3), 159–179.

3. Baio, G., & Blangiardo, M. (2010). Bayesian hierarchical model for the prediction of football results. Journal of Applied Statistics, 37(2), 253–264.

4. Berrar, D., Dubitzky, W., Davis, J., & Lopes, P. (2017). Machine learning for soccer. Retrieved September 1, 2017 from https://osf.io/ftuva/ .

5. Britannica. (2017). Football (Association Football, Soccer). In Encyclopaedia Britannica, Retrieved April 19, 2017 from https://www.britannica.com/sports/football-soccer .

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