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  1. 2121

    The importance of paying attention to anthropometrics in the selection athletes

    Putra, R. B. A., Rahayu, T., Kasmini, W., Sulaiman
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  2. 2122

    Career assistance to a team in crisis-transition: An intervention case study in Swedish elite handball

    Ekengren, J., Stambulova, N., Johnson, U., Ivarsson, A., Schinke, R.
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  3. 2123

    Component of psychological training of basketball players at the stage of preliminary basic training in the preparatory period

    Ivchenko, O., Mitova, O.
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  4. 2124

    Careers of Swedish professional handball players: From an empirical model to career-long psychological support services

    Ekengren, J.
    Published 2020
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  5. 2125

    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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  6. 2126

    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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  7. 2127

    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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  8. 2128

    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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  9. 2129

    `Fitlight` training system benefits for neuromuscular control training in basketball

    Rogozhnikov, M. A., Baturin, A. E., Yakovlev, Yu. V., Kuritsyna, A. E.
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  10. 2130

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

    Schwenkreis, F.
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  11. 2131

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

    Ivasic-Kos, M., Pobar, M., Gonzàlez, J.
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  12. 2132

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

    Pobar, M., Ivasic-Kos, M.
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  13. 2133

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

    Ivasic-Kos, M., Pobar, M.
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  14. 2134

    Personal features of team sports representatives

    Guzich, M. E., Grekhova, I. P.
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  15. 2135

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

    Pobar, M., Ivasic-Kos, M.
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  16. 2136

    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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  17. 2137

    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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  18. 2138

    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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  19. 2139

    Hydration assessment of a semiprofessional male Chilean basketball team during practice

    Salinas, H., Venegas, M.
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  20. 2140

    Wearing compression garments differently affects monopodal postural balance in high-level athletes

    Baige, K., Noé, F., Paillard, T.
    Published in Scientific Reports (2020)
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