Search Results - Schuster, J.
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GraphEIV: A framework for estimating the expected immediate value in basketball using graph neural networks
Sá-Freire, B. M., Barbosa, G. R. G., Gonçalves, J. L. L., Schuster, J., Rios-Neto, H.Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2024. Communications in Computer and Information Science (2025)article“…Schuster, J.…”
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Dynamic correspondence of the hang power clean to skating starts in men`s ice hockey
Laakso, L. A., Schuster, J. G.Published in Strength and Conditioning Journal (2021)article“…Schuster, J. G.…”
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A deep learning approach to injury forecasting in NBA basketball
Cohen, A., Schuster, J., Fernandez, J.Published in Journal of Sports Analytics (2021)article“…Schuster, J.…”
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4
Improving mechanical effectiveness during sprint acceleration: Practical recommendations and guidelines.
Hicks, D. S., Schuster, J. G., Samozino, P., Morin, J.-B.Published in Strength and Conditioning Journal (2020)article“…Schuster, J. G.…”
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Mechanical determinants of sprinting performance in elite women`s Rugby Sevens
Schuster, J., McMaster, T., Samozino, P., Lacey, S., Winkelman, N.Published in Journal of Australian Strength and Conditioning (2018)article“…Schuster, J.…”
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Physical-preparation recommendations for elite rugby sevens performance
Schuster, J., Howells, D., Robineau, J., Couderc, A., Natera, A., Lumley, N., Gabbett, T. J., Winkelman, N.Published in International Journal of Sports Physiology and Performance (2018)article“…Schuster, J.…”
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