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  1. 1

    An analysis of the 6-h ultra-marathon race using a machine learning approach

    Thuany, M., Weiss, K., Valero, D., Villiger, E., Andrade, M. S., Nikolaidis, P. T., Scheer, V., de Lira, C. A. B., Vancini, R. L., Cuk, I., Braschler, L., Rosemann, T., Knechtle, B.
    Published in Frontiers in Sports and Active Living (2025)
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  2. 2

    Artificial intelligence-enhanced 3D gait analysis with a single consumer-grade camera

    Guo, L., Chang, R., Wang, J., Narayanan, A., Qian, P., Leong, M. C., Kundu, P. P., Senthilkumar, S., Garlapati, S. C., Yong, E. C. K., Pahwa, R. S.
    Published in Journal of Biomechanics (2025)
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  3. 3

    Running functional threshold versus critical power: Same concept but different values

    Ñancupil-Andrade, A. A., Ruiz-Alias, S. A., Pérez-Castilla, A., Jaén-Carrillo, D., García-Pinillos, F.
    Published in International Journal of Sports Medicine (2023)
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  4. 4

    WARNING: A wearable inertial-based sensor integrated with a support vector machine algorithm for the identification of faults during race walking

    Taborri, J., Palermo, E., Rossi, S.
    Published in Sensors (2023)
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  5. 5

    Prediction of marathon performance using artificial intelligence

    Lerebourg, L., Saboul, D., Clémençon, M., Coquart, J. B.
    Published in International Journal of Sports Medicine (2023)
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  6. 6

    Is maximal lactate accumulation rate promising for improving 5000-m prediction in running?

    Quittmann, O. J., Foitschik, T., Vafa, R., Freitag, F. J., Sparmann, N., Nolte, S., Abel, T.
    Published in International Journal of Sports Medicine (2023)
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  7. 7

    Mining marathon training data to generate useful user profiles

    Berndsen, J., Smyth, B., Lawlor, A.
    Published in Machine Learning and Data Mining for Sports Analytics (2020)
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  8. 8

    World long-distance running elite: ethnicity-specific run energy efficiency analysis

    Kryazhev, V. D., Karpov, V. Y., Skorosov, K. K., Sharagin, V. I.
    Published in Theory and Practice of Physical Culture (2021)
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  9. 9

    Continuous estimation of ground reaction force during long distance running within a fatigue monitoring framework: A Kalman filter-based model-data fusion approach

    LeBlanc, B., Hernandez, E. M., McGinnis, R. S., Gurchiek, R. D.
    Published in Journal of Biomechanics (2021)
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  10. 10

    The power law model applied to the marathon world record

    Fernández-Revelles, A. B., Garcia Mármol, E.
    Published in Journal of Human Sport & Exercise (2019)
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  11. 11

    Elements of mathematical model for step in racewalking

    Badescu, D.
    Published in Science, Movement & Health (2015)
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  12. 12

    Testing a model to monitor training effect in distance running

    Nummela, A., Vesterinen, V.
    Published in New Studies in Athletics (2013)
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  13. 13

    Investigation of human-structure dynamic interaction using biomechanical model

    Dang, H. V., Zivanovic, S.
    Published in ESM 2012 emed scientific meeting (2012)
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  14. 14

    Prediction of race pace in long distance running from blood lactate concentration around race pace

    Muñoz Perez, I., Moreno Perez, D., Cardona Gonzalez, C., Esteve-Lanao, J.
    Published in Journal of Human Sport & Exercise (2012)
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  15. 15

    Predictive musculoskeletal simulation using optimal control: effects of added limb mass on energy cost and kinematics of walking and running

    van den Bogert, A. J., Hupperets, M., Schlarb, H., Krabbe, B.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2012)
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  16. 16

    Personenerkennung beim Gehen - Ein Vergleich von Künstlichen Neuronalen Netzen und Support Vector Machines (Athlete identification in race walking - a comparison of artifical neuronal networks and support vector machines)

    Fischer, A., Do, M., Asfour, T., Dillmann, R., Schwameder, H.
    Published in Sportinformatik trifft Sporttechnologie. 8. Symposium der dvs-Sektion Sportinformatik in Kooperation mit der Deutschen Interdisziplinären Vereinigung für Sporttechnologie vom 15.-17. September in Darmstadt (2011)
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  17. 17

    Entwicklung eines Algorithmus zur Bestimmung von Steifigkeitskoeffizienten beim Laufen und Gehen auf dem Laufband (Development of an algorithm for the determination of stiffness coefficients during running and walking on a treadmill.)

    Bystrzycki, S.
    Published 2006
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  18. 18

    800 metres - A mathematical model

    Prendergast, K.
    Published in Modern Athlete & Coach (2010)
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  19. 19

    Validity of a nomogram to predict long distance running performance

    Coquart, J. B. J., Alberty, M., Bosquet, L.
    Published in The Journal of Strength and Conditioning Research (2009)
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  20. 20

    Prediction of one-hour running performance using constant duration tests

    Gamelin, F. X., Coquart, J., Ferrari, N., Vodougnon, H., Matran, R., Leger, L., Bosquet, L.
    Published in The Journal of Strength and Conditioning Research (2006)
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