1. //
  2. Start
  3. //
  4. Publications
  5. Machine Learning and Data Mining for Spo...
  6. Output formats
  7. //

Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers

Research output: Books and anthologies › Conference proceedings › Research

Standard

Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers. / Brefeld, Ulf (Editor); Davis, Jesse (Editor); Van Haaren, Jan (Editor) et al.
Cham: Springer Verlag, 2025. 119 p. (Communications in Computer and Information Science; Vol. 2460).

Research output: Books and anthologies › Conference proceedings › Research

Harvard

Brefeld, U, Davis, J, Van Haaren, J & Zimmermann, A (eds) 2025, Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers. Communications in Computer and Information Science, vol. 2460, Springer Verlag, Cham. https://doi.org/10.1007/978-3-031-86692-0

APA

Brefeld, U., Davis, J., Van Haaren, J., & Zimmermann, A. (Eds.) (2025). Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers. (Communications in Computer and Information Science; Vol. 2460). Springer Verlag. https://doi.org/10.1007/978-3-031-86692-0

Vancouver

Brefeld U, (ed.), Davis J, (ed.), Van Haaren J, (ed.), Zimmermann A, (ed.). Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers. Cham: Springer Verlag, 2025. 119 p. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-86692-0

Bibtex

@book{916cfedd7b264980a925420090c65dba,
title = "Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers",
abstract = "The proceedings contain 9 papers. The special focus in this conference is on Machine Learning and Data Mining for Sports Analytics. The topics include: Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics; GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks; mathematical Models for Off-Ball Scoring Prediction in Basketball; an Analysis of the Influence of Game Context on Team Playing Style; Augmented Intelligence for FIFA Predictions; transformer-Based Framework for Versatile Analysis of Events Data in Soccer; Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.",
keywords = "Informatics",
editor = "Ulf Brefeld and Jesse Davis and {Van Haaren}, Jan and Albrecht Zimmermann",
year = "2025",
doi = "10.1007/978-3-031-86692-0",
language = "English",
isbn = "978-3-031-86691-3",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
address = "Germany",
note = "11th International Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2024, MLSA 2024 ; Conference date: 09-09-2024 Through 09-09-2024",

}

RIS

TY - BOOK

T1 - Machine Learning and Data Mining for Sports Analytics

T2 - 11th International Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2024

A2 - Brefeld, Ulf

A2 - Davis, Jesse

A2 - Van Haaren, Jan

A2 - Zimmermann, Albrecht

N1 - Conference code: 11

PY - 2025

Y1 - 2025

N2 - The proceedings contain 9 papers. The special focus in this conference is on Machine Learning and Data Mining for Sports Analytics. The topics include: Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics; GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks; mathematical Models for Off-Ball Scoring Prediction in Basketball; an Analysis of the Influence of Game Context on Team Playing Style; Augmented Intelligence for FIFA Predictions; transformer-Based Framework for Versatile Analysis of Events Data in Soccer; Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.

AB - The proceedings contain 9 papers. The special focus in this conference is on Machine Learning and Data Mining for Sports Analytics. The topics include: Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics; GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks; mathematical Models for Off-Ball Scoring Prediction in Basketball; an Analysis of the Influence of Game Context on Team Playing Style; Augmented Intelligence for FIFA Predictions; transformer-Based Framework for Versatile Analysis of Events Data in Soccer; Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.

KW - Informatics

UR - http://www.scopus.com/inward/record.url?scp=105002007939&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-86692-0

DO - 10.1007/978-3-031-86692-0

M3 - Conference proceedings

SN - 978-3-031-86691-3

T3 - Communications in Computer and Information Science

BT - Machine Learning and Data Mining for Sports Analytics

PB - Springer Verlag

CY - Cham

Y2 - 9 September 2024 through 9 September 2024

ER -

Other publications by the same author(s)

Interactive sequential generative models for team sports

Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.

Research output: Journal contributions › Journal articles › Research › peer-review

Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items

Bengs, D., Brefeld, U., Kroehne, U. & Zehner, F., 2025, (Accepted/In press) In: Psychometrika.

Research output: Journal contributions › Journal articles › Research › peer-review

Masked autoencoder for multiagent trajectories

Rudolph, Y. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 18 p., 44.

Research output: Journal contributions › Journal articles › Research › peer-review

The promise and challenges of computer mouse trajectories in DMHIs – A feasibility study on pre-treatment dropout predictions

Zantvoort, K., Matthiesen, J., Bjurner, P., Bendix, M., Brefeld, U., Funk, B. & Kaldo, V., 06.2025, In: Internet Interventions. 40, 7 p., 100828.

Research output: Journal contributions › Journal articles › Research › peer-review

Toward Learning Distributions of Distributions

Wohlstein, M. & Brefeld, U., 2025, In: Proceedings of Machine Learning Research. 265, p. 269-275 7 p.

Research output: Journal contributions › Conference article in journal › Research › peer-review

DOI

Recently viewed

Publications

  1. Gaining deep leverage? Reflecting and shaping real-world lab impacts through leverage points
  2. Discrete Lyapunov Controllers for an Actuator in Camless Engines
  3. An Exploration of humans‘ ability to recognize emotions displayed by robots
  4. Toward a lifespan metric of reading fluency
  5. Anonymized firm data under test: evidence from a replication study
  6. Contested Promises
  7. Development and validation of the Later Life Work Index for successful management of an aging workforce
  8. Comparing Web-Based and Blended Training for Coping With Challenges of Flexible Work Designs
  9. Thanking and responding to thanks in American English: Language patterning and contextual appropriateness
  10. Exploring the implications of the value concept for performance assessment of sustainable business models
  11. Extraction of information from invoices - challenges in the extraction pipeline
  12. Developing robust field survey protocols in landscape ecology
  13. Second-order SMC with disturbance compensation for robust tracking control in PMSM applications
  14. Sprachliche Muster
  15. Development and criterion validity of differentiated and elevated vocational interests in adolescence
  16. Agile Portfolio Management Patterns
  17. Threshold Level
  18. Collaborative decision making in sustainable flood risk management
  19. Temporal and thermodynamic irreversibility in production theory
  20. Adding the “e-” to Learning for Sustainable Development
  21. Safer Spaces
  22. Microtomography on biomaterials using the harwi-2 beamline at desy
  23. Tormentil for active ulcerative colitis
  24. The relationship between acculturation strategies and depressive and anxiety disorders in Turkish migrants in the Netherlands
  25. Improving efficiency in budgeting
  26. The State and Healthcare
  27. Hot workability analysis with processing map and texture characteristics of as-cast TX32 magnesium alloy
  28. Resettlement as a temporal border
  29. A conceptual map of invasion biology: Integrating hypotheses into a consensus network
  30. Review of transit data sources
  31. The self-sabotage of conservation
  32. Effects of Y Additions on the Microstructures and Mechanical Behaviours of as Cast Mg–xY–0.5Zr Alloys
  33. Conveying the Ethics of Artificial Intelligence in K–12 and Academia: A Systematic Review of Teaching Methods
  34. Effects of samarium content on microstructure and mechanical properties of Mg–0.5Zn–0.5Zr alloy
  35. Investigations on hot tearing of Mg-Al binary alloys by using a new quantitative method
  36. An inclusive future: disabled populations in the context of climate and environmental change
  37. Nitrogen uptake by grassland communities
  38. Understanding Similarities and Differences of Digital Health Platforms
  39. Joint extremal behavior of hidden and observable time series with applications to GARCH processes
  40. Comparing measured and modelled PFOS concentrations in a UK freshwater catchment and estimating emission rates