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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 | OnLine Access |
| AccessibilityMode | Download |
| Availability | On-Line |
| Basic rights | Download |
| CreationDate | 2019-09-30 09:00 |
| Creator | Pappalardo, Luca, lucapappalardo1094@gmail.com, orcid.org/0000-0002-1547-6007 |
| Field/Scope of use | Non-commercial only |
| Group | Health Studies |
| Owner | Pappalardo, Luca, lucapappalardo1094@gmail.com, 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 | 11 September 2023, 20:00 (CEST) |
| Created | 23 January 2020, 09:47 (CET) |
