Search Results - "selection"

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  1. 1

    Paddle selection and adjustment for young male kayakers: the science behind the art

    Fernandes, R. A., Alacid, F., Gomes, B. B.
    Published in Frontiers in Physiology (2025)
    “…selection…”
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  2. 2

    Is the classification of athletes based on force-velocity profiling from countermovement jumps influenced by the choice of method?

    Paulsen, G., Lindberg, K., Eriksrud, O., Solberg, P., Bjørnsen, T., Seynnes, O., Gløersen-Haga, Ø., Bobbert, M., Rice, H. “…selection…”
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  3. 3

    Homography based player identification in live sports

    Pandya, Y., Nandy, K., Agarwal, S. “…selection…”
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  4. 4

    Use of artificial neural networks to evaluate the interaction of confounding factors with discriminating factors during the selection of young athletes from different sports: A pil...

    Almeida-Neto, P., Gama de Matos, D., Felipe da Silva, L., Riechman, S., de Morais Ferreira, A. B., Bulhões-Correia, A., de Medeiros, J. A., Aidar, F. J., Dantas, P., Cabral, B. “…selection…”
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  5. 5

    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)
    “…selection…”
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  6. 6

    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)
    “…selection…”
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  7. 7

    "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. “…selection…”
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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)
    “…selection…”
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  9. 9

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

    Koopmann, T., Faber, I., Baker, J., Schorer, J. “…selection…”
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  10. 10

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

    Jauhiainen, S., Äyrämö, S., Forsman, H., Kauppi, J.-P. “…selection…”
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  11. 11

    An intelligent identification model for the selection of elite rowers by incorporating Internet-of-Things technology

    Liu, J.-W., Chen, S.-H., Huang, Y.-C., Wang, C.-T.
    Published in IEEE Access (2020)
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  12. 12

    Using data analytics to make the scouting and training of sports talents more effective

    Blom, C.
    Published 2019
    “…selection…”
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  13. 13

    Model trees for identifying exceptional players in the NHL and NBA drafts

    Liu, V., Schulte, O., Li, C. “…selection…”
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  14. 14

    A machine learning approach of predicting high potential archers by means of physical fitness indicators

    Muazu Musa, R., Abdul Majeed, A. P. P., Taha, Z., Chang, S. W., Ab. Nasir, A. F., Abdullah, M. R.
    Published in PLOS ONE (2019)
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  15. 15

    Expert system for identification of sport talents: Idea, implementation and results

    Papic, V., Rogulj, N., Plestina, V. “…selection…”
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  16. 16

    Modeling the NCAA basketball tournament selection process using a decision tree

    Dutta, S., Jacobson, S. H.
    Published in Journal of Sports Analytics (2018)
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  17. 17

    Isports: A statistical tool for online talent identification

    Maiorano, A. C., Ara, A., Louzada, F. “…selection…”
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  18. 18

    Modeling the relationship between the strength of a relative age effect and the maturity level applied for selection

    Lames, M. “…selection…”
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  19. 19

    How we use data to think in multiple time scales

    Harrison, A.
    Published 2016
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  20. 20

    Could sports biomechanics provide the missing pieces to the talent identification and development puzzle?

    Glazier, P. S. “…selection…”
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