Search Results - Machine Learning and Data Mining for Sports Analytics

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  1. 1

    Mathematical models for off-ball scoring prediction in basketball

    Kono, R., Fujii, K. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  2. 2

    GraphEIV: A framework for estimating the expected immediate value in basketball using graph neural networks

    Sá-Freire, B. M., Barbosa, G. R. G., Gonçalves, J. L. L., Schuster, J., Rios-Neto, H. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  3. 3

    Identifying player roles in ice hockey

    Säfvenberg, R., Carlsson, N., Lambrix, P. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  4. 4

    Elite rugby league players` signature movement patterns and position prediction

    Adeyemo, V. E., Palczewska, A., Jones, B., Weaving, D. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  5. 5

    Momentum matters: Investigating high-pressure situations in the NBA through scoring probability

    Mihalyi, B., Biczók, G., Toka, L. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  6. 6

    The big three: A practical framework for designing decision support systems in sports and an application for basketball

    Bautiste, F. J. S., Brunner, D., Koch, J., Laborie, T., Yang, L., El-Assady, M. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  7. 7

    What data should be collected for a good handball expected goal model?

    Mortelier, A., Rioult, F., Komar, J. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  8. 8

    Low cost player tracking in field hockey

    Moura, H. D., Kholkine, L., Van Damme, L., Mets, K., Leysen, C., De Schepper, T., Hellinckx, P., Latré, S. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  9. 9

    PIVOT: A parsimonious end-to-end learning framework for valuing player actions in handball using tracking data

    Müller, O., Caron, M., Döring, M., Heuwinkel, T., Baumeister, J. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  10. 10

    Predicting season outcomes for the NBA

    Teno, G. D. S., Wang, C., Carlsson, N., Lambrix, P. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  11. 11

    Prediction of tiers in the ranking of ice hockey players

    Lehmus Persson, T., Kozlica, H., Carlsson, N., Lambrix, P. “…Machine Learning and Data Mining for Sports Analytics…”
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  12. 12

    Interpreting deep sports analytics: Valuing actions and players in the NHL

    Liu, G., Zhu, W., Schulte, O. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  13. 13

    Player pairs valuation in ice hockey

    Ljung, D., Carlsson, N., Lambrix, P. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  14. 14

    Model trees for identifying exceptional players in the NHL and NBA drafts

    Liu, V., Schulte, O., Li, C. Collective title: “…Machine Learning and Data Mining for Sports Analytics. …”
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  15. 15

    Learning stochastic models for basketball substitutions from play-by-play data

    Bhat, H. S., Huang, L.-H., Rodriguez, S. Collective title: “…Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2015 workshop…”
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  16. 16

    Exploring chance in NCAA basketball

    Zimmermann, A. Collective title: “…Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2015 workshop…”
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  17. 17

    What is the value of an action in ice hockey? Learning a Q-function for the NHL

    Schulte, O., Zhao, Z., Routley, K. Collective title: “…Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2015 workshop…”
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