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Automated Inference regarding Goals in Elite Football Data
Level Master  +
OneLineSummary Automated Inference regarding Goals in Elite Football Data  +
References https://www.worldatlas.com/articles/what-ahttps://www.worldatlas.com/articles/what-are-the-most-popular-sports-in-the-world.html https://www.alliedmarketresearch.com/football-market-A11328 Jordet, G., Aksum, K. M., Pedersen, D. N., Walvekar, A., Trivedi, A., McCall, A., ... & Priestley, D. (2020). Scanning, contextual factors, and association with performance in english premier league footballers: an investigation across a season. Frontiers in psychology, 11, 553813. Decroos, T., & Davis, J. (2019, September). Player vectors: Characterizing soccer players’ playing style from match event streams. In Joint European conference on machine learning and knowledge discovery in databases (pp. 569-584). Springer, Cham.n databases (pp. 569-584). Springer, Cham.
StudentProjectStatus Open  +
Supervisors Andreas + , Summrina + , Kunru + , Martin +
Title Automated Inference regarding Goals in Elite Football Data  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 26 October 2022 07:25:57  +
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