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  1. 1

    Assessment of 16-year-old female basketball players with chronojump system

    Borukova, M., Kalinov, I.
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  2. 2

    Sprint biomechanics assessment with low-cost systems: a reliability study

    Mildenberger, C., Aragona, A., Guissani, C., Panci, N., Delgado-García, G.
    Published in Sport Sciences for Health (2024)
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  3. 3

    Data-driven analytics for decision making in game sports

    Seidenschwarz, P. G.
    Published 2021
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  4. 4

    Spielanalyse im Hockey (Field hockey game analysis)

    Krause, A., Hillmann, W.
    Published in Spielanalyse im Sportspiel (2022)
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  5. 5

    Key Performance Indicators - KPIs

    Caparrós, M. G.
    Published in Spielanalyse im Sportspiel (2022)
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  6. 6

    Normalsierung von KPIs basierend auf Ballbesitz (Normalization of KPIs based on ball possession)

    Phatak, A.
    Published in Spielanalyse im Sportspiel (2022)
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  7. 7

    Spielanalyse im Basketball (Basketball game analysis)

    König, S., Heckel, J.
    Published in Spielanalyse im Sportspiel (2022)
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  8. 8

    How does cognitive effort influence the tactical behavior of soccer players?

    Cardoso, F. S. L., Garcia-Calvo, T., Patrick, T., Afonso, J., Teoldo, I.
    Published in Perceptual and Motor Skills (2021)
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  9. 9

    Big data event analytics in football for tactical decision support (Big-Data-Event-Analytik im Fußball zur taktischen Entscheidungsunterstützung)

    Kröckel, P.
    Published 2019
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  10. 10

    Collective tactical behaviours in football from positional data

    Low, B., Rein, R., Memmert, D.
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  11. 11

    Comparison of soccer-specific tactical performance of women and men matches in Europe. A focus on notational derived metrics

    Garnica Caparrós, M., Imkamp, J., Memmert, D.
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  12. 12

    A graded concept of an information model for evaluating performance in team handball

    Schwenkreis, F.
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  13. 13

    Mask R-CNN and optical flow based method for detection and marking of handball actions

    Pobar, M., Ivasic-Kos, M.
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  14. 14

    Building a labeled dataset for recognition of handball actions using mask R-CNN and STIPS

    Ivasic-Kos, M., Pobar, M.
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  15. 15

    Detection of the leading player in handball scenes using Mask R-CNN and STIPS

    Pobar, M., Ivasic-Kos, M.
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  16. 16

    The creation of goal scoring opportunities at the 2015 women`s world cup

    Scanlan, M., Harms, C., Cochrane Wilkie, J., Maayah, F.
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  17. 17

    Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review

    Goes, F. R., Meerhoff, L. A., Bueno, M. J. O., Rodrigues, O. M., Moura, F. A., Brink, M. S., Elferink-Gemser, M. T., Knobbe, A. J., Cunha, S. A., Torres, R. S., Lemmink, K. A.P. M.
    Published in European Journal of Sport Science (2021)
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  18. 18

    Read-the-game: System for skill-based visual exploratory activity assessment with a full body virtual reality soccer simulation

    Rojas Ferrer, C. D., Shishido, H., Kitahara, I., Kameda, Y.
    Published in PLOS ONE (2020)
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  19. 19

    Use of machine learning to automate the identification of basketball strategies using whole team player tracking data

    Tian, C., De Silva, V., Caine, M., Swanson, S.
    Published in Applied Sciences (2020)
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  20. 20

    Big Data im Fußball. Technische Grundlagen der Datensammlung und -analyse und ihre Auswirkungen auf den Fußball (Big data in football. Technical basis of data collection and analysis and its impact on football)

    Gramlich, D.
    Published 2018
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