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  1. 1

    Functional variability in team-handball players during balance is revealed by non-linear measures and is related to age and expertise level

    Caballero, C., Barbado, D., Urbán, T., García-Herrero, J. A., Moreno, F. J.
    Published in Entropy (2020)
    “…Entropy…”
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  2. 2

    Model-based behavioral causality analysis of handball with delayed transfer entropy

    Itoda, K., Watanabe, N., Takefuji, Y.
    Published in Procedia - Computer Science (2015)
    “…We focus on handball as an example of goal-type ball games and analyze causality between teammates` behaviors from tracking data with Hidden Semi-Markov Model (HSMM) and delayed Transfer Entropy (dTE). Although `off-the-ball` behaviors are a crucial component of cooperation, most research tends to focus on `on-the-ball` behaviors, and relations of behaviors are only known as tacit knowledge of coaches or players. …”
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  3. 3

    Analysis of defensive game situations in team handball by means of artificial neural networks

    Schrapf, N., Rudelsdorfer, P., Tilp, M.
    Published in 19th Annual Congress of the European College of Sport Science (ECSS), Amsterdam, 2. - 5. July 2014 (2014)
    “…In order to obtain suitable entropy, data was enlarged by multiplication to a quantity of 7280 datasets with a noise of 5% and subsequently permutated to minimize unwanted learning effects due to duplication. …”
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