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  1. 1

    Influence of code of point change on individual rhythmic gymnastics performance

    Freire-Maceiras, R. M., Sierra-Palmeiro, E., Fernández-Villarino, M. A.
    Published in Science of Gymnastics Journal (2025)
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  2. 2

    Kinematics analysis of techniques in artistic gymnastics using the ai scoring system -switch leap to ring position on balance beam

    Ishikawa, M., Noro, H., Hata, K., Yamazaki, Y., Lee, R. Y., Yanagiya, T.
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  3. 3

    Performance rating in men`s world elite artistic gymnastics: a status-quo study on scoring tendencies at Olympic Games following rule changes

    Rohleder, J., Pizzera, A., Breuer, J., Vogt, T.
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  4. 4

    Computerised gymnastics judging scoring system implementation - an exploration of stakeholders' perceptions

    Allen, E., Fenton, A., Parry, K.
    Published in Science of Gymnastics Journal (2021)
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  5. 5

    Sensor-based jump detection and classification with machine learning in trampoline gymnastics

    Woltmann, L., Hartmann, C., Lehner, W., Rausch, P., Ferger, K.
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  6. 6

    Reliability and agreement in technical and artistic scores during real-time judging in two European acrobatic gymnastic events

    Leon-Prados, J., Jemni, M.
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  7. 7

    Judging the cross on rings: a matter of achieving shape constancy

    Plessner, H., Schallies, E.
    Published in Applied Cognitive Psychology (2005)
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  8. 8

    The effect of difficulty and execution scores on total ranking during 2019 Rhythmic Gymnastics World Championships

    Örs, B. S.
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  9. 9

    Amplitude evaluated with head-toe distance in relation to where circles are performed on pommel horse

    Fujihara, T.
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  10. 10

    National bias of international gymnastics judges during the 2013-2016 Olympic cycle

    Heiniger, S., Mercier, H.
    Published in arXiv e-print repository (2019)
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  11. 11

    Judging the judges: evaluating the accuracy and national bias of international gymnastics judges

    Heiniger, S., Mercier, H.
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  12. 12

    The use of think aloud method to investigate decision-making processes of women's artistic gymnastics judges

    Huey, J. L. L.
    Published 2020
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  13. 13

    Modeling judges` scores in artistic gymnastics

    Mack, M., Bryan, M., Heyer, G., Heinen, T.
    Published in The Open Sports Sciences Journal (2019)
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  14. 14

    3D sensing technology for real-time quantifikation of athletes' movements

    Sasaki, K., Masui, S., Tezuka, K.
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  15. 15

    ICT-based judging support system for artistic gymnastics and intended new world created through 3D sensing technology

    Sasaki, K., Masui, S., Tezuka, K.
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  16. 16

    Inter-rater reliability and validity of scoring men's individual trampoline routines at European championships 2014

    Leskošek, B., Cuk, I., Peixoto, C. J. D.
    Published in Science of Gymnastics Journal (2018)
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  17. 17

    Three-dimensional kinematic analysis of the Yurchenko layout with 360-degree twist in female vaults: deterministic model and judges' scores

    Park, C-H., Kim, Y.-K.
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  18. 18

    Three-dimensional analysis of yurchenko layout with 360° twist in female vaults: modified deterministic model and judges' scores

    Kim, Y.-K., Park, C.-H.
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  19. 19

    Gaze behavior of gymnastics judges: Where do experienced judges and gymnasts look while judging?

    Pizzera, A., Möller, C., Plessner, H.
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  20. 20

    Witz wird Wirklichkeit (Joke becomes reality)

    Schmidt, S.
    Published in Leon (2017)
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