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eNauka >  Results >  Using machine learning to determine the nationalities of the fastest 100-mile ultra-marathoners and identify top racing events
Title: Using machine learning to determine the nationalities of the fastest 100-mile ultra-marathoners and identify top racing events
Authors: Knechtle, Beat; Weiss, Katja; Valero, David; Villiger, Elias; Nikolaidis, Pantelis Theodoros; Andrade, Marilia Santos; Scheer, Volker; Cuk, Ivan D  ; Gajda, Robert; Thuany, Mabliny
Issue Date: 2024
Publication: PLOS ONE
ISSN: 1932-6203 PLoS One / Public Library of Science Search Idenfier
Type: Article
Collation: 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
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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