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  1. 2601

    Performance prediction and evaluation in female handball players using machine learning models

    Oytun, M., Tinazci, C., Sekeroglu, B., Acikada, C., Yavuz, H. U.
    Published in IEEE Access (2020)
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  2. 2602

    Occupational specifics of elite female handball players in relation to injury recovery, social support and environmental factors

    Bon, M., Doupona, M.
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  3. 2603

    Functional variability in team-handball players during balance is revealed by non-linear measures and is related to age and expertise level

    Caballero, C., Barbado, D., Urbán, T., García-Herrero, J. A., Moreno, F. J.
    Published in Entropy (2020)
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  4. 2604

    Estimating throwing speed in handball using a wearable device

    Skejø, S. D., Bencke, J., Møller, M., Sorensen, H.
    Published in Sensors (2020)
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  5. 2605

    The potential achievement of weightlifting sport in Semarang through talent identification

    Haryono, S., Romadhoni, S., Retno, E. S.
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  6. 2606

    Biomechanical analysis of snatch technique in conjunction to kinematic motion of Olympic weightlifters

    Kusuma Nanang Himawan, M., Rilastia, D., Syafei, M., Nugroho, R., Budihardjo, B.
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  7. 2607

    Simulation of weightlifting training process

    Sivokhin, I. P., Skotnikov, V. F., Fedorov, A. I., Khlystov, M. S., Kalashnikov, A. P.
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  8. 2608

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

    Schwenkreis, F.
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  9. 2609

    Active player detection in handball videos using optical flow and STIPs based measures

    Ivasic-Kos, M., Pobar, M., Gonzàlez, J.
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  10. 2610

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

    Pobar, M., Ivasic-Kos, M.
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  11. 2611

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

    Ivasic-Kos, M., Pobar, M.
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  12. 2612

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

    Pobar, M., Ivasic-Kos, M.
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  13. 2613

    ATM-based analysis and recognition of handball team activities

    Montoliu, R., Martín-Félez, R., Torres-Sospedra, J., Rodríguez-Pérez, S.
    Published in Neurocomputing (2015)
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  14. 2614

    Model-based behavioral causality analysis of handball with delayed transfer entropy

    Itoda, K., Watanabe, N., Takefuji, Y.
    Published in Procedia - Computer Science (2015)
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  15. 2615

    System for monitoring and advanced analysis of handball matches

    Hlupic, T., Jandrijevic, F., Kovacev, J., Petricioli, L., Gracin, T., Baranovic, M.
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  16. 2616

    A study of patterns of play at High-intensity running during rugby competition

    Koyanagi, R., Kajiyama, T., Ohtsuka, D., Takada, M., Sugihara, E.
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  17. 2617

    The influence of COVID-19 lockdown restrictions on perceived nutrition habits in Rugby Union players

    Roberts, C., Gill, N., Sims, S.
    Published in Frontiers in Nutrition (2020)
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  18. 2618

    Difference in rugby league match characteristics following the introduction of temporary law modifications due to COVID-19: A preliminary investigation

    Rennie, G., Dalton-Barron, N., Weaving, D., Jones, B.
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  19. 2619

    Trends in match injury risk in professional male rugby union: a 16-season review of 10 851 match injuries in the English Premiership (2002-2019): the Professional Rugby Injury Surv...

    West, S. W., Starling, L., Kemp, S., Williams, S., Cross, M., Taylor, A., Brooks, J. H. M., Stokes, K. A.
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  20. 2620

    Global positioning system-derived workload metrics and injury risk in team-based field sports: A systematic review

    Kupperman, N., Hertel, J.
    Published in Journal of Athletic Training (2020)
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