Следене
Tim Op De Beéck
Tim Op De Beéck
Postdoctoral, researcher, KU Leuven
Потвърден имейл адрес: cs.kuleuven.be
Заглавие
Позовавания
Позовавания
Година
Relationships Between the External and Internal Training Load in Professional Soccer: What Can We Learn From Machine Learning?
A Jaspers, T Op De Beéck, MS Brink, WGP Frencken, F Staes, JJ Davis, ...
International journal of sports physiology and performance, 1-18, 2017
672017
Fatigue prediction in outdoor runners via machine learning and sensor fusion
T Op De Beéck, W Meert, K Schütte, B Vanwanseele, J Davis
Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018
642018
Surface effects on dynamic stability and loading during outdoor running using wireless trunk accelerometry
KH Schütte, J Aeles, T Op De Beéck, BC van der Zwaard, R Venter, ...
Gait & posture 48, 220-225, 2016
622016
Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness
A Jaspers, T Op De Beéck, MS Brink, WGP Frencken, F Staes, JJ Davis, ...
International journal of sports physiology and performance, 1-25, 2019
30*2019
Data fusion of body-worn accelerometers and heart rate to predict VO2max during submaximal running
A De Brabandere, T Op De Beéck, KH Schütte, W Meert, B Vanwanseele, ...
PloS one 13 (6), e0199509, 2018
282018
AMIE: automatic monitoring of indoor exercises
T Decroos, K Schütte, TO De Beéck, B Vanwanseele, J Davis
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
152019
Accelerometer based data can provide a better estimate of cumulative load during running compared to GPS based parameters
B Vanwanseele, T Op De Beéck, K Schütte, J Davis
Frontiers in Sports and Active Living 2, 575596, 2020
122020
TSFuse: Automated feature construction for multiple time series data
A De Brabandere, T Op De Beéck, K Hendrickx, W Meert, J Davis
Machine Learning, 1-56, 2022
102022
Automating feature construction for multi-view time series data
A De Brabandere, P Robberechts, T Op De Beéck, J Davis
ECMLPKDD Workshop on Automating Data Science, 1-16, 2019
92019
Mining hierarchical pathology data using inductive logic programming
T Op De Beéck, A Hommersom, J Van Haaren, M van der Heijden, ...
Conference on Artificial Intelligence in Medicine in Europe, 76-85, 2015
82015
Machine learning and data mining for sports analytics
J Van Haaren, A Zimmermann, J Renkens, G Van den Broeck, ...
LStat 25th Anniversary Scientific Event, Date: 2013/12/13-2013/12/14 …, 2013
52013
Data Science Approaches for the Analysis and Interpretation of Training Load Data of Athletes
T Op De BeÊck
12019
Prestatie-analyse van de clubs in de Belgische Pro League 2013-2014: de play-offs doorgelicht
J Van Haaren, T Op De Beéck, J Davis
CW Reports, 2014
12014
Prestatie-analyse van de clubs in de Belgische Pro League 2013-2014: de reguliere competitie doorgelicht
J Van Haaren, T Op De Beéck, J Davis
CW Reports, 2014
12014
Monitoring the Crus for Physical Therapy
T Van Craenendonck, T Op De Beéck, W Meert, B Vanwanseele, J Davis
1st International Workshop on Machine Learning for Urban Sensor Data, 1-16, 2014
12014
Predicting future perceived wellness in profession...
T Op De Beéck
ijspp 2017, 0864, 2019
2019
Predicting future perceived muscle soreness in professional soccer
A Jaspers, T Op De BeÊck, MS Brink, WGP Frencken, F Staes, J Davis, ...
Science and Engineering Conference on Sports Innovation, Date: 2018/04/13 …, 2018
2018
Study III: Surface-related dynamic instability and loading
KH Schütte, J Aeles, T Op De Beéck, BC van der Zwaard, R Venter
Towards Real-world Biomechanical Detection of Fatigue, Energy, and Injury in …, 2018
2018
Welke rol speelt sports analytics in het voetbal van morgen?
J Van Haaren, T Op De Beéck
2014
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–19