Computational Intelligence and Data Mining in Sports
1. Editorial
- Methods for the classification of similar sports images [2];
- Analyses of the performance evolution of match play styles in basketball [8];
- Development of models to rank teams in a sports league [9];
- Design and implementation of real-time athlete support systems [12];
- Sports analytics in basketball [13];
- Smart sport training [14].
Funding
Acknowledgments
Conflicts of Interest
References
- Fister, I.; Fister, I., Jr.; Fister, D. Computational Intelligence in Sports; Springer: Berlin/Heidelberg, Germany, 2019. [Google Scholar]
- Podgorelec, V.; Pečnik, Š.; Vrbančič, G. Classification of Similar Sports Images Using Convolutional Neural Network with Hyper-Parameter Optimization. Appl. Sci. 2020, 10, 8494. [Google Scholar] [CrossRef]
- Hvattum, L.M. Offensive and Defensive Plus–Minus Player Ratings for Soccer. Appl. Sci. 2020, 10, 7345. [Google Scholar] [CrossRef]
- Gimenez, J.V.; Jimenez-Linares, L.; Garcia-Unanue, J.; Sanchez-Sanchez, J.; Gallardo, L.; Felipe, J.L. Analyse Success Model of Split Time and Cut-Off Point Values of Physical Demands to Keep Category in Semi-Professional Football Players. Appl. Sci. 2020, 10, 5299. [Google Scholar] [CrossRef]
- Iskandaryan, D.; Ramos, F.; Palinggi, D.A.; Trilles, S. The Effect of Weather in Soccer Results: An Approach Using Machine Learning Techniques. Appl. Sci. 2020, 10, 6750. [Google Scholar] [CrossRef]
- Vallance, E.; Sutton-Charani, N.; Imoussaten, A.; Montmain, J.; Perrey, S. Combining Internal-and External-Training-Loads to Predict Non-Contact Injuries in Soccer. Appl. Sci. 2020, 10, 5261. [Google Scholar] [CrossRef]
- Rossi, A.; Perri, E.; Pappalardo, L.; Cintia, P.; Iaia, F.M. Relationship between External and Internal Workloads in Elite Soccer Players: Comparison between Rate of Perceived Exertion and Training Load. Appl. Sci. 2019, 9, 5174. [Google Scholar] [CrossRef] [Green Version]
- Gómez, M.Á.; Medina, R.; Leicht, A.S.; Zhang, S.; Vaquera, A. The Performance Evolution of Match Play Styles in the Spanish Professional Basketball League. Appl. Sci. 2020, 10, 7056. [Google Scholar] [CrossRef]
- Shi, J.; Tian, X.Y. Learning to Rank Sports Teams on a Graph. Appl. Sci. 2020, 10, 5833. [Google Scholar] [CrossRef]
- Hsu, Y.C. Using Machine Learning and Candlestick Patterns to Predict the Outcomes of American Football Games. Appl. Sci. 2020, 10, 4484. [Google Scholar] [CrossRef]
- Zou, Q.; Song, K.; Shi, J. A Bayesian In-Play Prediction Model for Association Football Outcomes. Appl. Sci. 2020, 10, 2904. [Google Scholar] [CrossRef] [Green Version]
- Örücü, S.; Selek, M. Design and validation of rule-based expert system by using kinect V2 for real-time athlete support. Appl. Sci. 2020, 10, 611. [Google Scholar] [CrossRef] [Green Version]
- Tian, C.; De Silva, V.; Caine, M.; Swanson, S. Use of machine learning to automate the identification of basketball strategies using whole team player tracking data. Appl. Sci. 2020, 10, 24. [Google Scholar] [CrossRef] [Green Version]
- Rajšp, A.; Fister, I. A systematic literature review of intelligent data analysis methods for smart sport training. Appl. Sci. 2020, 10, 3013. [Google Scholar] [CrossRef]
- Joshi, N. Here’s How AI Will Change The World Of Sports! 2019. Forbes. Available online: https://www.forbes.com/sites/cognitiveworld/2019/03/15/heres-how-ai-will-change-the-world-of-sports/ (accessed on 5 March 2021).
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Fister, I.; Fister, I., Jr. Computational Intelligence and Data Mining in Sports. Appl. Sci. 2021, 11, 2637. https://doi.org/10.3390/app11062637
Fister I, Fister I Jr. Computational Intelligence and Data Mining in Sports. Applied Sciences. 2021; 11(6):2637. https://doi.org/10.3390/app11062637
Chicago/Turabian StyleFister, Iztok, and Iztok Fister, Jr. 2021. "Computational Intelligence and Data Mining in Sports" Applied Sciences 11, no. 6: 2637. https://doi.org/10.3390/app11062637
APA StyleFister, I., & Fister, I., Jr. (2021). Computational Intelligence and Data Mining in Sports. Applied Sciences, 11(6), 2637. https://doi.org/10.3390/app11062637