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Frank Imbach

Showing results (1-10 of 10) with videos related to

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Scientific Reports|May 18, 2026
A Semi-Markov framework for modeling football possessions and temporal expected threatSebastian Le Coz, Firas Boustila, Frank Imbach
Sports (Basel, Switzerland)|January 24, 2025
A Muscle Physiology-Based Framework for Quantifying Training Load in Resistance ExercisesFrank Imbach, Stéphane Perrey, Thomas Brioche, et al.
Sports (Basel, Switzerland)|July 24, 2020
Validity of the Stryd Power Meter in Measuring Running Parameters at Submaximal SpeedsFrank Imbach, Robin Candau, Romain Chailan, et al.
Scientific Reports|January 29, 2022
Training load responses modelling and model generalisation in elite sportsFrank Imbach, Stephane Perrey, Romain Chailan, et al.
Scientific Reports|January 29, 2025
Statistical flaws of the fitness-fatigue sports performance prediction modelAlexandre Marchal, Othmène Benazieb, Yisakor Weldegebriel, et al.
Journal of Strength and Conditioning Research|June 25, 2024
A New Training Load Quantification Method at Supramaximal Intensity and Its Application in Injuries Among Members of an International Volleyball TeamThéo Bouzigues, Olivier Maurelli, Frank Imbach, et al.
Sports Medicine - Open|March 3, 2022
The Use of Fitness-Fatigue Models for Sport Performance Modelling: Conceptual Issues and Contributions from Machine-LearningFrank Imbach, Nicolas Sutton-Charani, Jacky Montmain, et al.
Scientific Reports|September 8, 2022
Using global navigation satellite systems for modeling athletic performances in elite football playersFrank Imbach, Waleed Ragheb, Valentin Leveau, et al.
Frontiers in Sports and Active Living|June 28, 2024
A competing risk survival analysis of the impacts of team formation on goals in professional footballSebastian Le Coz, Loic Iapteff, Maxime Rioland, et al.
Frontiers in Sports and Active Living|May 8, 2025
Toward interpretable expected goals modeling using Bayesian mixed modelsLoïc Iapteff, Sebastian Le Coz, Maxime Rioland, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Scientific Reports|May 18, 2026
A Semi-Markov framework for modeling football possessions and temporal expected threatSebastian Le Coz, Firas Boustila, Frank Imbach
Sports (Basel, Switzerland)|January 24, 2025
A Muscle Physiology-Based Framework for Quantifying Training Load in Resistance ExercisesFrank Imbach, Stéphane Perrey, Thomas Brioche, et al.
Sports (Basel, Switzerland)|July 24, 2020
Validity of the Stryd Power Meter in Measuring Running Parameters at Submaximal SpeedsFrank Imbach, Robin Candau, Romain Chailan, et al.
Scientific Reports|January 29, 2022
Training load responses modelling and model generalisation in elite sportsFrank Imbach, Stephane Perrey, Romain Chailan, et al.
Scientific Reports|January 29, 2025
Statistical flaws of the fitness-fatigue sports performance prediction modelAlexandre Marchal, Othmène Benazieb, Yisakor Weldegebriel, et al.
Journal of Strength and Conditioning Research|June 25, 2024
A New Training Load Quantification Method at Supramaximal Intensity and Its Application in Injuries Among Members of an International Volleyball TeamThéo Bouzigues, Olivier Maurelli, Frank Imbach, et al.
Sports Medicine - Open|March 3, 2022
The Use of Fitness-Fatigue Models for Sport Performance Modelling: Conceptual Issues and Contributions from Machine-LearningFrank Imbach, Nicolas Sutton-Charani, Jacky Montmain, et al.
Scientific Reports|September 8, 2022
Using global navigation satellite systems for modeling athletic performances in elite football playersFrank Imbach, Waleed Ragheb, Valentin Leveau, et al.
Frontiers in Sports and Active Living|June 28, 2024
A competing risk survival analysis of the impacts of team formation on goals in professional footballSebastian Le Coz, Loic Iapteff, Maxime Rioland, et al.
Frontiers in Sports and Active Living|May 8, 2025
Toward interpretable expected goals modeling using Bayesian mixed modelsLoïc Iapteff, Sebastian Le Coz, Maxime Rioland, et al.
Pageof 1