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Using machine learning to determine the nationalities of the fastest 100-mile ultra-marathoners and identify top racing events
| Naziv: | Using machine learning to determine the nationalities of the fastest 100-mile ultra-marathoners and identify top racing events | Autori: | Knechtle, Beat; Weiss, Katja; Valero, David; Villiger, Elias; Nikolaidis, Pantelis Theodoros; Andrade, Marilia Santos; Scheer, Volker; Cuk, Ivan D   ; Gajda, Robert; Thuany, Mabliny |
Godina: | 2024 | Publikacija: | PLOS ONE | ISSN: | 1932-6203 PLoS One / Public Library of Science Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 19 br. 8 str. e0303960-e0303960 | DOI: | 10.1371/journal.pone.0303960 | WoS-ID: | 001296663800091 | Scopus-ID: | 2-s2.0-85201866715 | PMID: | 39172797 | PMCID: | PMC11340887 | URI: | https://enauka.gov.rs/handle/123456789/934229 | Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
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