Search Results - Da Silva Torres, R.

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  1. 1

    Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the best passing...

    Merlin, M., Pinto, A., Moura, F. A., da Silva Torres, R., Cunha, S. A.
    Published in PLOS ONE (2024)
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  2. 2

    Interpersonal coordination of opposing player dyads during attacks performed in official football matches

    Caetano, F. G., Pereira Santiago, P. R., da Silva Torres, R., Cunha, S. A., Arruda Moura, F.
    Published in Sports Biomechanics (2023)
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  3. 3

    Using machine learning pipeline to predict entry into the attack zone in football

    Stival, L., Pinto, A., dos Santos Pinto de Andrade, F., Pereira Santiago, P. R., Biermann, H., da Silva Torres, R., Dias, U.
    Published in PLOS ONE (2023)
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  4. 4

    Classification and determinants of passing difficulty in soccer: a multivariate approach

    Merlin, M., Pinto, A., Gomes de Almeida, A., Moura, F. A., Da Silva Torres, R., Cunha, S. A.
    Published in Science and Medicine in Football (2022)
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  5. 5

    Exploring the determinants of success in different clusters of ball possession sequences in soccer

    Merlin, M., Cunha, S. A., Moura, F. A., da Silva Torres, R., Gonçalves, B., Sampaio, J.
    Published in Research in Sports Medicine (2020)
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  6. 6

    Football player dominant region determined by a novel model based on instantaneous kinematics variables

    Caetano, F. G., Barbon Junior, S., da Silva Torres, R., Cunha, S. A., Caron Ruffino, P. R., Barreto Martins, L. E., Arruda Moura, F.
    Published in Scientific Reports (2021)
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