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  1. 1

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
    “…Modellierung…”
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  2. 2

    Team decision-making: the integration of cognitive task analysis and video to accelerate the development of tactical shared mental models in an elite sports team

    Richards, P., Robbins, M., Collins, D.
    Published in Frontiers in Sports and Active Living (2025)
    “…Modellierung…”
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  3. 3

    Global positioning system-derived metrics and machine learning models for injury prediction in professional rugby union players

    Ren, X., Boisbluche, S., Philippe, K., Demy, M., Äyrämö, S., Rautiainen, I., Ding, S., Prioux, J.
    Published in European Journal of Sport Science (2025)
    “…Modellierung…”
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  4. 4

    Modelling of performance prediction by analysis of elite swimmers` anthropometry, peak performance age and age-related performance progression

    Nazari Mehrabi, A., Imani, H., Khademnoe, O., Khantan, M., Lundberg, T. R., Gorzi, A.
    Published in PLOS ONE (2025)
    “…Modellierung…”
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  5. 5

    Expected game value (xGV): a novel approach for strategic decision-making in rugby union

    Chéradame, J., Carling, C., Pisseloup, M., Pinczon du Sel, N.
    Published in International Journal of Performance Analysis in Sport (2025)
    “…Modellierung…”
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  6. 6

    Home advantage in English rugby union: A study of divisional differences since 2000/01

    Boyd, H., Fonseca, J., Turner, M., & Ranaweera, J.
    Published in Journal of Sports Analytics (2025)
    “…Modellierung…”
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  7. 7

    Player activity and load profiling with hidden Markov models: a novel application in rugby league

    Watson, N., Hendricks, S., Weaving, D., Dalton-Barron, N., Jones, B., Stewart, T., Durbach, I.
    Published in Research Quarterly for Exercise and Sport (2025)
    “…Modellierung…”
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  8. 8

    Study of the load during official competition in professional women`s basketball - A case study

    López-Sierra, P., Jiménez-Sáiz, S. L., García-Rubio, J., Piñar, M. I., Ibáñez, S. J.
    Published in Sports (2025)
    “…Modellierung…”
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  9. 9

    Tackle techniques and characteristics associated with a concussion in tackling players in the National Football League

    Sherwood, C. P., Grogan, F., McMurry, T. L., Funk, J. R., Crandall, J. R., Sills, A., Tierney, G.
    Published in The American Journal of Sports Medicine (2025)
    “…Modellierung…”
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  10. 10

    Differentiating acute fatigue and overreaching during intensified training using a recursive least squares algorithm combined with the variable dose-response model

    Busso, T., Chalencon, S.
    Published in European Journal of Applied Physiology (2025)
    “…Modellierung…”
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  11. 11

    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)
    “…Modellierung…”
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  12. 12

    Momentum matters: Investigating high-pressure situations in the NBA through scoring probability

    Mihalyi, B., Biczók, G., Toka, L.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)
    “…Modellierung…”
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  13. 13

    Effects of anthropometrics, thrust, and drag on stroke kinematics and 100 m performance of young swimmers using path-analysis modeling

    Morais, J. E., Barbosa, T. M., Gomeñuka, N. A., Marinho, D. A.
    Published in Scandinavian Journal of Medicine & Science in Sports (2024)
    “…Modellierung…”
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  14. 14

    The effects of flutter kick on active drag during front crawl swimming

    Tsunokawa, T.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…Modellierung…”
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  15. 15

    Model for assessment front crawl sprint swimming potential at youth water polo players: International standardisation approach

    Dopsaj, M., Perazzetti, A., Özkol, M. Z., Ošljak, A., Novoselac, N., Tessitore, A.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…Modellierung…”
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  16. 16

    Validation of a propulsion model in front crawl swimming

    Brunel, T., Clanet, C., Bolon, B., Larrarte, F., Cohen, C., Prétot, C., Carmigniani, R.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…Modellierung…”
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  17. 17

    Individual optimisation of swimming start

    Prétot, C., Brunel, T., Bolon, B., Clanet, C., Carmigniani, R.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…Modellierung…”
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  18. 18

    Modeling energetics and critical metabolic power in tethered-swimming

    Filho, D., de Castro, E. A., Massini, D. A., de Almeida, T. F., Macedo, A. G., Espada, M. C.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…Modellierung…”
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  19. 19

    Analisys of the viability of the burst-and-coast strategy in swimming based on a simple monte carlo simulation

    Mezêncio, B., Huebner, R., Vilas-Boas, J. P., Serrão, J. C.
    Published in XIVth International Symposium on Biomechanics and Medicine in Swimming Proceedings (2023)
    “…Modellierung…”
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  20. 20

    Game-play affects hamstring but not adductor muscle fibre mechanics in elite U20 basketball athletes

    Akundov, R., Saxby, D. J., Diamond, L. E., Snodgrass, S., Clausen, P., Drew, M.
    Published in Sports Biomechanics (2025)
    “…Modellierung…”
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