Search Results - Cuk, S.
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An analysis of the 6-h ultra-marathon race using a machine learning approach
Thuany, M., Weiss, K., Valero, D., Villiger, E., Andrade, M. S., Nikolaidis, P. T., Scheer, V., de Lira, C. A. B., Vancini, R. L., Cuk, I., Braschler, L., Rosemann, T., Knechtle, B.Published in Frontiers in Sports and Active Living (2025)“…Cuk, I.…”
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Exploring the use of 5 different Yo-Yo tests in evaluating VO2max and fitness profile in team sports: a systematic review and meta-analysis
Tan, Z., Castagna, C., Krustrup, P., Wong, D. P., Póvoas, S., Boullosa, D., Xu, K., Cuk, I.Published in Scandinavian Journal of Medicine & Science in Sports (2025)“…Cuk, I.…”
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Analysis of the 72-h ultramarathon using a predictive XG Boost model
Knechtle, B., Villiger, E., Weiss, K., Valero, D., Gajda, R., Scheer, V., Barbosa de Lira, C. A., Braschler, L., Nikolaidis, P. T., Vancini, R. L., Cuk, I., Rosemann, T., Thuany, M.Published in Sport Sciences for Health (2024)“…Cuk, I.…”
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Sex differences in pacing during half-marathon and marathon race
Cuk, I., Nikolaidis, P. T., Knechtle, B.Published in Research in Sports Medicine (2020)“…Cuk, I.…”
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Optimal instructions to maximize attack efficiency in beginners and experienced fencers
Milic, M., Janicijevic, D., Nedeljkovic, A., Cuk, I., Mudric, M., García-Ramos, A.Published in Motor control (2021)“…Cuk, I.…”
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