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PlayeRank evaluation framework
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PlayeRank performance evaluation frameworkGithub
PlayeRank, a data-driven framework that offers a principled multi-dimensional...
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Additional Info
Field | Value |
---|---|
Accessibility | Both |
AccessibilityMode | Download |
AccessibilityMode | OnLine Access |
Availability | On-Line |
Basic rights | Download |
CreationDate | 2019-09-30 09:00 |
Creator | Pappalardo, Luca, [email protected], orcid.org/0000-0002-1547-6007 |
Field/Scope of use | Non-commercial only |
Group | Health Studies |
Owner | Pappalardo, Luca, [email protected], orcid.org/0000-0002-1547-6007 |
ProgrammingLanguage | Python |
RelatedPaper | Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, and Fosca Giannotti. 2019. PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach. ACM Trans. Intell. Syst. Technol. 10, 5, Article 59 (September 2019), 27 pages. DOI:https://doi.org/10.1145/3343172 |
Sublicense rights | Yes |
Territory of use | World Wide |
Thematic Cluster | Human Mobility Analytics [HMA] |
UsageMode | Download |
link to repository | https://github.com/mesosbrodleto/playerank |
system:type | Method |
Management Info
Field | Value |
---|---|
Author | Pappalardo Luca |
Maintainer | Pappalardo Luca |
Version | 1 |
Last Updated | 16 September 2023, 10:06 (CEST) |
Created | 4 February 2020, 22:00 (CET) |