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Tim Op De Beéck
Tim Op De Beéck
Postdoctoral, researcher, KU Leuven
Verified email at cs.kuleuven.be
Title
Cited by
Cited by
Year
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
662017
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
632018
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
602016
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
29*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 BeĂŠck
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 BeĂŠck, 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
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Articles 1–19