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Effective injury prediction in professional soccer with GPS data and machine learning

, , , , , и . (мая 2017)

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Alessio Langiu

Alessio Meneghetti

Alessio Guerri

Alessio Vascon

Alessio Quaglino

 

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Extended Energy-Expenditure Model in Soccer: Evaluating Player Performance in the Context of the Game., , , , и . Sensors, 22 (24): 9842 (2022)Who Is Going to Get Hurt? Predicting Injuries in Professional Soccer., , , , , и . MLSA@PKDD/ECML, том 1971 из CEUR Workshop Proceedings, стр. 21-30. CEUR-WS.org, (2017)Effective injury prediction in professional soccer with GPS data and machine learning, , , , , и . (мая 2017)Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations., , , и . Sensors, 19 (14): 3163 (2019)GPS Data Reflect Players' Internal Load in Soccer., , , , , и . ICDM Workshops, стр. 890-893. IEEE Computer Society, (2017)Can Data-Driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue?, , , , , , , , , и . Sensors, 23 (2): 832 (января 2023)Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts., , , и . Sensors, 20 (24): 7122 (2020)A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults., , , , , , , , и . Data, 5 (4): 91 (2020)SDNN24 Estimation from Semi-Continuous HR Measures., , , , и . Sensors, 21 (4): 1463 (2021)Characterization of In-season Elite Football Trainings by GPS Features: The Identity Card of a Short-Term Football Training Cycle., , , , , и . ICDM Workshops, стр. 160-166. IEEE Computer Society, (2016)