Search Results - "Talent"

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  1. 1

    Will artificial intelligence solve the riddle of athlete development? A critical review of how AI is being used for athlete identification, selection, and development

    Baker, J., Cattle, A., McAuley, A., Kelly, A., Johnston, K.
    Published in Psychology of Sport and Exercise (2025)
    “…Talent…”
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  2. 2

    The use of video feedback as a facet of performance analysis: an integrative review

    Pearson, A., Webb, T., Milligan, G., Miller-Dicks, M. “…Talent…”
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  3. 3

    How reliable are the tactical measures obtained in soccer small-sided games? A test-retest analysis of observational instruments and GPS-based variables

    Praça, G. M., Abreu, C. O., Rochael, M., Moreira, P. D. “…Talent…”
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  4. 4

    Analytics auf dem Eis: Wie Daten die Spielanalyse im Eishockey bereichern (Analytics on the ice: How data enriches game analysis in ice hockey)

    Schürmann, R., Bandemer, R., Madauß, L., Wohak, O., Schwarzenbrunner, K., Danielsmeier, C.
    Published in Leistungssport (2025)
    “…Talent…”
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  5. 5

    Prediction of talent selection in elite male youth soccer across 7 seasons: A machine-learning approach

    Altmann, S., Ruf, L., Thiem, S., Beckmann, T., Wohak, O., Romeike, C., Härtel, S.
    Published in Journal of Sports Sciences (2024)
    “…Talent…”
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  6. 6

    "There is more that unites us than divides us". Optimizing talent transfer processes by clustering 34 sports by their task, individual and environmental similarities

    Teunissen, J. W., De Bock, J., Schasfoort, D., Slembrouck, M., Verstockt, S., Lenoir, M., Pion, J. “…Talent…”
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  7. 7

    About the predictive value of a 3D multiple object tracking device for talent identification in elite ice hockey players

    Tétreault, É., Fortin-Guichard, D., McArthur, J., Vigneault, A., Grondin, S. “…Talent…”
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  8. 8

    Bridging the gap (combining on-the-field-experiences and new technologies in training)

    Oldham, M.
    Published in Techniques Magazine (2024)
    “…Talent…”
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  9. 9

    Cross-sectional analysis of ground reaction forces during jumps in professional baseball players

    Amonette, W. E., Vazquez, J., Coleman, A. E. “…Talent…”
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  10. 10

    Prognostic validity of statistical prediction methods used for talent identification in youth tennis players based on motor abiblities

    Siener, M., Faber, I., Hohmnn, A.
    Published in Applied Sciences (2022)
    “…Talent…”
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  11. 11

    Machine learning in sports industry: Discover promising athletes for the future of handball

    Nunes, M. C. “…Talent…”
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  12. 12

    Neuro-muscular development and age-related profiling in elite youth soccer players: Conventional statistics and contributions of machine learning

    Schwiete, C., Broich, H., Mester, J., Wigger, U., Wahl, P., Behringer, M. “…Talent…”
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  13. 13

    Soccer: who has the ball? Generating visual analytics and player statistics

    Theagarajan, R., Pala, F., Zhang, X., Bhanu, B. “…Talent…”
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  14. 14

    Mobile computing with a smart cricket ball: Discovery of novel performance parameters and their practical application to performance analysis, advanced profiling, talent identifica...

    Fuss, F. K., Doljin, B., Ferdinands, R. E. D.
    Published in Sensors (2021)
    “…Talent…”
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  15. 15

    Science and Skiing VIII. Book of the 8th International Congress on Science and Skiing

    M. Karczewska-Lindinger, A. Hakkarainen, V. Linnamo, S. Lindinger
    Published 2020
    “…Talent…”
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  16. 16

    Mini review: Assessing technical skills in youth athletes using sports biomechanical methods

    Koopmann, T., Faber, I., Baker, J., Schorer, J. “…Talent…”
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  17. 17

    Nutzung multikriterieller und unscharfer (FUZZY-)Analysen zum Talentscreening im Sport (Use of multi-criteria and fuzzy (FUZZY) analyses for talent screening in sport)

    Ester, J., Zinner, J., Utesch, T., Büsch, D.
    Published in Informatik-Spektrum (2020)
    “…Talent…”
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  18. 18

    Talent identification in soccer using a one-class support vector machine

    Jauhiainen, S., Äyrämö, S., Forsman, H., Kauppi, J.-P. “…Talent…”
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  19. 19

    The application of Artificial Neural Network and k-Nearest Neighbour classification models in the scouting of high-performance archers from a selected fitness and motor skill perfo...

    Muazu Musa, R., Abdul Majeed, A. P. P., Taha, Z., Abdullah, M. R., Husin Musawi Maliki, A. B., Azura Kosni, N.
    Published in Science & Sports (2019)
    “…Talent…”
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  20. 20

    Development and evaluation archery posture analysis system using inertial sensor

    Cho, W. H., Quan, C.-H., Kwon, J.-W., Lee, S. “…Talent…”
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