- Mark Connor
, David Fagan, Barry Watters, Fergal McCaffery, Michael O'Neill:
Optimizing Team Sport Training With Multi-Objective Evolutionary Computation. Int. J. Comput. Sci. Sport 20(1): 92-105 (2021) - J. Fahey-Gilmour, J. Heasman, Brent Rogalski, B. Dawson, Peter Peeling:
Can Elite Australian Football Player's Game Performance Be Predicted? Int. J. Comput. Sci. Sport 20(1): 55-78 (2021) - Lars Magnus Hvattum, Garry A. Gelade:
Comparing bottom-up and top-down ratings for individual soccer players. Int. J. Comput. Sci. Sport 20(1): 23-42 (2021) - M. Mandorino, A. J. Figueiredo, Gianluca Cima, Antonio Tessitore:
A Data Mining Approach to Predict Non-Contact Injuries in Young Soccer Players. Int. J. Comput. Sci. Sport 20(2): 147-163 (2021) - Thorben Menrad, Jürgen Edelmann-Nusser:
Validation of Velocity Measuring Devices in Velocity Based Strength Training. Int. J. Comput. Sci. Sport 20(1): 106-118 (2021) - Jürgen Perl, Jonas Imkamp, Daniel Memmert:
Strictness vs. flexibility: Simulation-based recognition of strategies and its success in soccer. Int. J. Comput. Sci. Sport 20(1): 43-54 (2021) - Jayamini Ranaweera, Marco Zanin, Dan Weaving, Chathura Withanage, Gregory Roe:
Optimizing Player Management Processes in Sports: Translating Lessons from Healthcare Process Improvements to Sports. Int. J. Comput. Sci. Sport 20(2): 119-146 (2021) - Andreas Stamatis, Zacharias Papadakis, Grant B. Morgan, Ali Boolani:
Offseason Fitness Tests a Collegiate Basketball Strength Coach Should Choose to Predict In-Season Perfomance Based on Sex. Int. J. Comput. Sci. Sport 20(2): 164-174 (2021) - P. J. Watson, Jonathan E. Fieldsend, V. H. Stiles:
A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport. Int. J. Comput. Sci. Sport 20(2): 175-197 (2021) - J. Zhánel, P. Holecek, A. Zdercík:
Comparison of the Evaluation of Performance Preconditions in Tennis with the Use of Equal and Expertly Judged Criteria Weights. Int. J. Comput. Sci. Sport 20(1): 79-91 (2021) - 2020
- Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Daily Fantasy Sports Teams with Artificial Intelligence. Int. J. Comput. Sci. Sport 19(2): 21-35 (2020) - Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn:
A Critical Comparison of Machine Learning Classifiers to Predict Match Outcomes in the NFL. Int. J. Comput. Sci. Sport 19(2): 36-50 (2020) - Thomas Blobel, Martin Lames:
A Concept for Club Information Systems (CIS) - An Example for Applied Sports Informatics. Int. J. Comput. Sci. Sport 19(1): 102-122 (2020) - Rubén Maneiro Dios, Mario Amatria Jiménez, M. Teresa Anguera-Argilaga:
Diachronic analysis application for the detection of soccer performance standards: a case study. Int. J. Comput. Sci. Sport 19(2): 77-109 (2020) - M. Makino, Tomohiro Odaka, Jousuke Kuroiwa, Izumi Suwa, Hideyuki Shirai:
Feature Selection to Win the Point of ATP Tennis Players Using Rally Information. Int. J. Comput. Sci. Sport 19(1): 37-50 (2020) - G. Nagy, Zsolt Komka, G. Szathmáry, Péter Katona, L. Gannoruwa, Gergely Erdös, P. Tarjányi, M. Tóth, Miklos Krepuska, László Grand:
Multimodal Approach for Kayaking Performance Analysis and Improvement. Int. J. Comput. Sci. Sport 19(2): 51-76 (2020) - Cameron Ross, Peter Lamb, Paul L. McAlpine, Gavin Kennedy, Chris Button:
Validation of gyroscope sensors for snow sports performance monitoring. Int. J. Comput. Sci. Sport 19(1): 51-59 (2020) - Xavier Schelling, Sam Robertson:
A development framework for decision support systems in high-performance sport. Int. J. Comput. Sci. Sport 19(1): 1-23 (2020) - P. D. Smith, Anthony Bedford:
Automatic Classification of Locomotion in Sport: A Case Study from Elite Netball. Int. J. Comput. Sci. Sport 19(2): 1-20 (2020) - Sebastian Wenninger, Daniel Link, Martin Lames:
Performance of machine learning models in application to beach volleyball data. Int. J. Comput. Sci. Sport 19(1): 24-36 (2020) - William A. Young II, Gary R. Weckman:
A Team-Compatibility Decision Support System for the National Football League. Int. J. Comput. Sci. Sport 19(1): 60-101 (2020) - 2019
- Peter Browne, S. Morgan, J. Bahnisch, Samuel Robertson:
Discovering patterns of play in netball with network motifs and association rules. Int. J. Comput. Sci. Sport 18(1): 64-79 (2019) - Vinh Huy Chau, Anh Thu Vo, Ba Tuan Le:
The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning. Int. J. Comput. Sci. Sport 18(3): 89-99 (2019) - Sotirios Drikos, Ioannis Ntzoufras, Nikolaos Apostolidis:
Bayesian Analysis of Skills Importance in World Champions Men's Volleyball across Ages. Int. J. Comput. Sci. Sport 18(1): 24-44 (2019) - A. Edelmann-Nusser, Alexander Raschke, A. Bentz, S. Montenbruck, Jürgen Edelmann-Nusser, Martin Lames:
Validation of Sensor-Based Game Analysis Tools in Tennis. Int. J. Comput. Sci. Sport 18(2): 49-59 (2019) - J. Fahey-Gilmour, B. Dawson, Peter Peeling, J. Heasman, Brent Rogalski:
Multifactorial analysis of factors influencing elite Australian football match outcomes: a machine learning approach. Int. J. Comput. Sci. Sport 18(3): 100-124 (2019) - Lars Magnus Hvattum:
A comprehensive review of plus-minus ratings for evaluating individual players in team sports. Int. J. Comput. Sci. Sport 18(1): 1-23 (2019) - Susanne Jauhiainen, Sami Äyrämö, H. Forsman, J.-P. Kauppi:
Talent identification in soccer using a one-class support vector machine. Int. J. Comput. Sci. Sport 18(3): 125-136 (2019) - Melanie Ludwig, Alexander Asteroth, Christian Rasche, Mark Pfeiffer:
Including the Past: Performance Modeling Using a Preload Concept by Means of the Fitness-Fatigue Model. Int. J. Comput. Sci. Sport 18(1): 115-134 (2019) - C. A. Morales:
Test of a non-rectangular penalty area in the Euro 2016, Copa América 2016 and 2018 World Cup. Int. J. Comput. Sci. Sport 18(1): 135-147 (2019)
