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  1. 1

    Monitoring external load during real competition in male handball players through big data analytics: Differences by playing positions

    Manchado, C., Tortosa-Martinez, J., Marcos-Jorquera, D., Gilart-Iglesias, V., Pueo, B., Chirosa-Rios, L. J.
    Published in Kinesiology (2024)
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  2. 2

    School-age talent identification in female handball by a mathematical model: Equation proposed from anthropometry, maturity offset, fitness, and technical field-tests

    Caporal, G., Gaya, A. C. A., Pedretti, A., Mello, J. B.
    Published in Research Quarterly for Exercise and Sport (2024)
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  3. 3

    Handball offensive analysis: comparative evolution of linear tendency lines between finalist teams in the EHF CL

    Vaz, V., Ferrari, W., Sarmento, H., Couceiro, M., Sousa, T., Dias, G.
    Published in Applied Sciences (2023)
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  4. 4

    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.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2021. Communications in Computer and Information Science (2022)
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  5. 5

    A unified taxonomy and multimodal dataset for events in invasion games

    Biermann, H., Theiner, J., Bassek, M., Raabe, D., Memmert, D., Ewerth, R.
    Published in ACM International Conference Proceeding Series (2021)
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  6. 6

    Prediction of the 2019 IHF World Men`s Handball Championship - A sparse Gaussian approximation model

    Groll, A., Heiner, J., Schauberger, G., Uhrmeister, J.
    Published in Journal of Sports Analytics (2020)
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  7. 7

    A novel method for the analysis of sequential actions in team handball

    Rudelsdorfer, P., Schrapf, N., Possegger, H., Mauthner, T., Bischof, H., Tilp, M.
    Published in International Journal of Computer Science in Sport (2014)
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  8. 8

    The use of binominal logistic regression in performance analysis in handball

    Volossovitch, A., Ferreira, A.P., Gonçalves, I.
    Published in International Journal of Computer Science in Sport (2002)
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  9. 9

    Measuring handball players trajectories using an automatically trained boosting algorithm

    Barros, R. M. L., Menezes, R. P., Russomanno, T. G., Misuta, M. S., Brandatildeo, B. C., Figueroa, P. J., Leite, N. J., Goldenstein, S. K.
    Published in Computer Methods in Biomechanics and Biomedical Engineering (2011)
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  10. 10

    Leistungsdiagnostik im Nachwuchstraining der Sportspiele. Entwicklung eines modelltheoretischen Ansatzes im Handball

    Pfeiffer, M.
    Published 2005
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