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ORCIDInternational Journal of Computer Science in Sport, Volume 19
Volume 19, Number 1, July 2020
- Xavier Schelling, Sam Robertson
:
A development framework for decision support systems in high-performance sport. 1-23 - Sebastian Wenninger, Daniel Link, Martin Lames:
Performance of machine learning models in application to beach volleyball data. 24-36 - M. Makino, Tomohiro Odaka, Jousuke Kuroiwa, Izumi Suwa, Hideyuki Shirai:
Feature Selection to Win the Point of ATP Tennis Players Using Rally Information. 37-50 - Cameron Ross, Peter Lamb, Paul L. McAlpine, Gavin Kennedy, Chris Button:
Validation of gyroscope sensors for snow sports performance monitoring. 51-59 - William A. Young II, Gary R. Weckman:
A Team-Compatibility Decision Support System for the National Football League. 60-101 - Thomas Blobel, Martin Lames:
A Concept for Club Information Systems (CIS) - An Example for Applied Sports Informatics. 102-122
Volume 19, Number 2, December 2020
- P. D. Smith, Anthony Bedford:
Automatic Classification of Locomotion in Sport: A Case Study from Elite Netball. 1-20 - Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Daily Fantasy Sports Teams with Artificial Intelligence. 21-35 - Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn:
A Critical Comparison of Machine Learning Classifiers to Predict Match Outcomes in the NFL. 36-50 - 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. 51-76 - Rubén Maneiro Dios, Mario Amatria Jiménez, M. Teresa Anguera-Argilaga:
Diachronic analysis application for the detection of soccer performance standards: a case study. 77-109
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