Personalized machine learning approach to injury monitoring in elite volleyball players by de Leeuw, Arie-Willem, van der Zwaard, Stephan, van Baar, Rick, Knobbe, Arno

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Age of peak performance in professional road cycling by Kholkine, Leonid, Latré, Steven, Verdonck, Tim, de Leeuw, Arie-Willem

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The Push Forward in Rehabilitation: Validation of a Machine Learning Method for Detection of Wheelchair Propulsion Type by van der Slikke, Rienk, de Leeuw, Arie-Willem, de Rooij, Aleid, Berger, Monique

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Modeling Match Performance in Elite Volleyball Players: Importance of Jump Load and Strength Training Characteristics by de Leeuw, Arie-Willem, van Baar, Rick, Knobbe, Arno, van der Zwaard, Stephan

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Development of an algorithm-based approach using neuromuscular test results to indicate an increased risk for non-contact lower limb injuries in elite football players by Wagemans, Jente, De Leeuw, Arie-Willem, Catteeuw, Peter, Vissers, Dirk

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A Learn-to-Rank Approach for Predicting Road Cycling Race Outcomes by Kholkine, Leonid, Servotte, Thomas, de Leeuw, Arie-Willem, De Schepper, Tom, Hellinckx, Peter, Verdonck, Tim, Latré, Steven

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The relationships between age and race performance in women’s road cycling by de Leeuw, Arie-Willem, Kholkine, Leonid

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Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring by de Leeuw, Arie-Willem, Heijboer, Mathieu, Verdonck, Tim, Knobbe, Arno, Latré, Steven

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Articles with impact: insights into 10 years of research with machine learning by van der Zwaard, Stephan, de Leeuw, Arie-Willem, Meerhoff, L Rens A, Bodine, Sue C, Knobbe, Arno

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Automatic Mapping of Finish Line Videos for the Objective Analysis of Sprint Behavior by Verstraete, Pieter, De Bock, Jelle, Arie-Willem de Leeuw, De Schepper, Tom, Latre, Steven, Verstockt, Steven

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