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eNauka >  Rezultati >  Analysis of the 72-h ultramarathon using a predictive XG Boost model
Naziv: Analysis of the 72-h ultramarathon using a predictive XG Boost model
Autori: Knechtle, Beat; Villiger, Elias; Weiss, Katja; Valero, David; Gajda, Robert; Scheer, Volker; de Lira, Claudio Andre Barbosa; Braschler, Lorin; Nikolaidis, Pantelis T.; Vancini, Rodrigo Luiz;
Godina: 2024
Publikacija: Sport Sciences for Health
ISSN: 1824-7490 SPORT SCIENCES FOR HEALTH Pretraži identifikator
Tip rezultata: Naučni članak
DOI: 10.1007/s11332-024-01243-3
WoS-ID: 001284794100001
Scopus-ID: 2-s2.0-85200771012
URI: https://enauka.gov.rs/handle/123456789/952173
Projekat: Open access funding provided by University of Zurich
Izvor metapodataka: (Preuzeto iz CrossRef-a) Ćuk, Ivan
M-kategorija: 
22M22 - Međunarodni časopis kategorije M22

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