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  1. 1

    Trends in real-time artificial intelligence methods in sports: a systematic review

    Vec, V., Tomažic, S., Kos, A., Umek, A.
    Published in Journal of Big Data (2024)
    “…Journal of Big Data…”
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  2. 2

    Badminton stroke classification based on accelerometer data: from individual to generalized models

    Peralta, D., Herbruggen, B. V., Fontaine, J., Debyser, W., Wieme, J., Poorter, E. D.
    Published in 2022 IEEE International Conference on Big Data (Big Data) (2022)
    Collective title: “…2022 IEEE International Conference on Big Data (Big Data)…”
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  3. 3

    A random forest regression model predicting the winners of summer Olympic events

    Jia, M., Zhao, Y., Chang, F., Zhang, B., Yoshigoe, K.
    Published in Proceedings of the 2020 2nd International Conference on Big Data Engineering (2020)
    Collective title: “…Proceedings of the 2020 2nd International Conference on Big Data Engineering…”
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  4. 4

    Understanding the effects on balance for elite platform divers using machine learning

    Dogan, G., Layne, B., Ari, S., Glisson, M., Kurpiewski, E., Heijnen, M., Ricanek, K.
    Published in 2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService) (2021)
    Collective title: “…2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService)…”
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  5. 5

    A Web application for interactive visualization of European basketball data

    Vinue, G.
    Published in Big data (2020)
    “…Big data…”
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  6. 6

    Computational intelligence for qualitative coaching diagnostics: Automated assessment of tennis swings to improve performance and safety

    Bacic, B., Hume, P. A.
    Published in Big data (2018)
    “…Big data…”
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  7. 7

    What is the role of artificial intelligence in sports?

    Dhar, V.
    Published in Big data (2017)
    “…Big data…”
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  8. 8

    A data snapshot approach for making real-time predictions in basketball

    Kayhan, V. O., Watkins, A.
    Published in Big data (2018)
    “…Big data…”
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  9. 9

    Visualizing a team's goal chances in soccer from attacking events: A bayesian inference approach

    Whitaker, G. A., Silva, R., Edwards, D.
    Published in Big data (2018)
    “…Big data…”
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  10. 10

    Seasonal linear predictivity in national football championships

    Jurman, G.
    Published in Big data (2019)
    “…Big data…”
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  11. 11

    Finding roles of players in football using automatic particle swarm optimization-clustering algorithm

    Behravan, I., Zahiri, S. H., Razavi, S. M., Trasarti, R.
    Published in Big data (2019)
    “…Big data…”
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  12. 12

    Not every pass can be an assist: A data-driven model to measure pass effectiveness in professional soccer matches

    Goes, F. R., Kempe, M., Meerhoff, L. A., Lemmink, K. A. P. M.
    Published in Big data (2019)
    “…Big data…”
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  13. 13

    Learning to rate player positioning in soccer

    Dick, U., Brefeld, U.
    Published in Big data (2019)
    “…Big data…”
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