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  1. 1

    Athlete monitoring in handball (ATHMON HB): a survey of current practice in professional women`s and men`s handball

    Henze, A.-S., Burger, J., Matits, L., Degenhardt, H., Fehske, K., Kirsten, J., Schulz, S. V. W.
    Published in BMC Sports Science, Medicine and Rehabilitation (2025)
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  2. 2

    Understanding acceleration-based load metrics: from concepts to implementation

    Freitas, J., Moreira, A., Carvalho, J., Conceição, F., Estriga, L.
    Published in Sensors (2025)
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  3. 3

    Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women`s Euro 2022 through an IoT and Big Data architecture approach

    Karcher, C., Font, R., Marcos-Jorquera, D., Gilart-Iglesias, V., Manchado, C.
    Published in Biology of Sport (2025)
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  4. 4

    Are fluctuations in physical performance affected by contextual fafctors in women`s handball matches? An analysis using five-minute fixed phases

    García-Sánchez, C., Navarro, R. M., Nieto-Acevedo, R., de la Rubia, A.
    Published in Biology of Sport (2025)
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  5. 5

    Do all matches require the same effort? Influence of contextual factors on physical demands during official female handball competitions

    García-Sánchez, C., Navarro, R. M., Mon-López, D., Nieto-Acevedo, R., Cañadas-García, E., de la Rubia, A.
    Published in Biology of Sport (2024)
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  6. 6

    Unraveling athletic performance: Transcriptomics and external load monitoring in handball competition

    Condeminas, P. E., Mallol, M., Font, R., Tremps, V., Gutiérrez, J. A., Rodas, G., Lluna, A. P., Soria, J. M.
    Published in PLOS ONE (2024)
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  7. 7

    Exploring success of four LIQUI-MOLY Handball Bundesliga teams from 2019 to 2022

    Saal, C., Ackermann, N., Wegener, F., Sölter, F., Baumgart, C., Hoppe, M.
    Published in 28th Annual Congress of the European College of Sport Science, 4-7 July 2023, Paris, France (2023)
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  8. 8

    Physical match demands of four LIQUI-MOLY Handball-Bundesliga teams from 2019-2022: effects of season, team, match outcome, playing position, and halftime

    Saal, C., Baumgart, C., Wegener, F., Ackermann, N., Sölter, F., Hoppe, M. W.
    Published in Frontiers in Sports and Active Living (2023)
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  9. 9

    Analysis of movement and activities of handball players using deep neural networks

    Host, K., Pobar, M., Ivasic-Kos, M.
    Published in Journal of Imaging (2023)
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  10. 10

    PIVOT: A parsimonious end-to-end learning framework for valuing player actions in handball using tracking data

    Müller, O., Caron, M., Döring, M., Heuwinkel, T., Baumeister, J.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2021. Communications in Computer and Information Science (2022)
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  11. 11

    Effiziente Suche und Bewertung von Szenen in Spielsportarten (Efficient search and evaluation of scenes in game sports)

    Reeb, L., Dzibela, D., Marzilger, R., Witt, N.
    Published in spinfortec2020digital: 13. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie" vom 24.-25. September 2020 in Bayreuth (2020)
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  12. 12

    Tracking handball players with the DeepSORT algorithm

    Host, K., Ivasic-Kos, M., Pobar, M.
    Published 2020
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  13. 13

    Active player detection in handball scenes based on activity measures

    Pobar, M., Ivasic-Kos, M.
    Published in Sensors (2020)
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  14. 14

    Singlets: Multi-resolution motion singularities for soccer video abstraction

    Blanc, K., Lingrand, D., Precioso, F.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2017)
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  15. 15

    Team handball match analysis by computer tracking from the men´s european championships 2016

    Michalsik, L. B., Søndergaard, H., Flynn, M.
    Published in 21st Annual Congress of the European College of Sport Science (ECSS), Vienna, 6. -9. July 2016 (2016)
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