Open Access
Issue |
ITM Web Conf.
Volume 70, 2025
2024 2nd International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2024)
|
|
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Article Number | 04024 | |
Number of page(s) | 6 | |
Section | AI and Advanced Applications | |
DOI | https://doi.org/10.1051/itmconf/20257004024 | |
Published online | 23 January 2025 |
- K. Apostolou, C. Tjortjis, Sports Analytics Algorithms for Performance Prediction. In Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA), Patras, Greece, 2019. SCITEPRESS. [Google Scholar]
- W. Tichy, 2016. Changing the Game: ‘Dr. Dave’ Schrader. SCITEPRESS. [Google Scholar]
- M. Beckler, H. Wang, M. Papamichael, 2013. NBA Oracle. Zuletzt besucht am, 17(2008-2009.9). SCITEPRESS. [Google Scholar]
- W. Cai, et al., 2019. A Hybrid Ensemble Learning Framework for Basketball Outcomes Prediction. Physica A: Statistical Mechanics and its Applications, 528. SCITEPRESS. [Google Scholar]
- W. Chen, Z. Shen, Y. Tao, 2013. Big Data Series: Data Visualization. Beijing: Electronic Industry Press. SCITEPRESS. [Google Scholar]
- T. Horvat, L. Havas, D. Srpak, 2020. The Impact of Selecting a Validation Method in Machine Learning on Predicting Basketball Game Outcomes. Symmetry. SCITEPRESS. [Google Scholar]
- S. Ji, J. Li, T. Du, 2019. A Review of Machine Learning Model Interpretability Methods, Applications and Security Research. Computer Research and Development. SCITEPRESS. [Google Scholar]
- R. Khanmohammadi, et al., 2022. MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs. arXiv preprint arXiv:2210.17060. SCITEPRESS. [Google Scholar]
- V. Madhavan, 2016. Predicting NBA Game Outcomes with Hidden Markov Models. Berkeley University. SCITEPRESS. [Google Scholar]
- D. Miljkovic, et al., 2010. The Use of Data Mining for Basketball Matches Outcomes Prediction. In Proceedings of the IEEE 8th International Symposium on Intelligent Systems and Informatics. IEEE. SCITEPRESS. [Google Scholar]
- B. Taylor, 2017. https://fansided.com/2017/08/11/nylon-calculus-measuring-creation-box-score/. SCITEPRESS. [Google Scholar]
- F. Thabtah, L. Zhang, N. Abdelhamid, 2019. NBA Game Result Prediction Using Feature Analysis and Machine Learning. Annals of Data Science. SCITEPRESS. [Google Scholar]
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