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  • Method

    A Narrative Review for a Machine Learning Application in Sports: An Example B...

    In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly...
  • Method

    PassNet

    Deep learning for automatic detection of soccer events from broadcasted video Soccer analytics is attracting increasing interest in academia and industry, thanks to the...
  • Method

    SDNN24 Estimation from Semi-Continuous HR Measures

    The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices...
  • Method

    Explaining the difference between men and women football

    Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often...
  • Method

    Data-driven ranking of soccer teams

    A methodology per ranking soccer teams based on soccer logs
  • Method

    Injury forecaster for soccer players

    An algorithm to forecast the injuries of soccer players given their training workload
  • Method

    Soccer teams ranking simulator

    This algorithm simulates the outcomes of an entire season of each team of a football league only relying on technical data (i.e., excluding the goals scored), by exploiting a...
  • Method

    Relationship between External and Internal Workloads in Soccer Players

    The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of...
  • Method

    Estimation of Resting Heart Rate circadian rhythm

    Wrist-worn wearable devices equipped with heart rate (HR) sensors have become increasingly popular. The ability to correctly interpret the collected data is fundamental to...
  • Method

    PlayeRank evaluation framework

    The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive...
    • Github
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  • JournalArticle

    Change of direction asymmetry across different age categories in youth soccer

    Background: In youth, the development of change of direction (COD) and sprint performance is a key component for successfully competing in soccer across age. During a COD, the...
    • HTML
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  • JournalArticle

    Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of ...

    Application of ultra–short Heart Rate Variability (HRV) is desirable in order to increase the applicability of HRV features to wrist-worn wearable devices equipped with heart...
    • HTML
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  • JournalArticle

    Volleyball-Specific Skills and Cognitive Functions Can Discriminate Players o...

    Formenti, D, Trecroci, A, Duca, M, Vanoni, M, Ciovati, M, Rossi, A, and Alberti, G. Volleyball-specific skills and cognitive functions can discriminate players of different...
    • HTML
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  • JournalArticle

    A public data set of spatio-temporal match events in soccer competitions

    Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of sensing technologies that provide high-fidelity data streams for...
  • JournalArticle

    A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young...

    Wearable devices now make it possible to record large quantities of physiological data, which can be used to obtain a clearer view of a person’s health status and behavior....
  • ConferencePaper

    Automatic pass annotation from soccer VideoStreams based on object detection ...

    Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of data that describe all the spatio-temporal events that occur in each...
    • HTML
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  • TrainingMaterial

    Data in soccer: an athletic trainer's point of view

    Abstract: This webinar is focused on describing the importance of the data in soccer and in particular on the athletic trainer point of view. Cristoforo Fialetti, an athletic...
    • Webloc
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    • ZIP
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  • Dataset

    Covid infodemic in Italy -- Most retweeted accounts

    Top 10 most retweeted accounts on Covid-related keywords, between Jan 30 and Mar 20, 2020.
    • ZIP
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  • Dataset

    Twitter Dataset British MPs

    This dataset contains the Twitter tweet_ids from the Timelines of 584 members of British Parliament (collected between 4th and 6th of March 2022). The users are identified from...
    • TSV
      The resource: 'Twitter Dataset British MPs' is not accessible as guest user. You must login to access it!
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