Who can receive the pass? A computational model for quantifying availability in soccer (English)
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https://orcid.org/http://orcid.org/0000-0001-9600-6463
- New search for: Dick, Uwe
- New search for: Link, Daniel
- New search for: Brefeld, Ulf
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https://orcid.org/http://orcid.org/0000-0001-9600-6463
In:
Data Mining and Knowledge Discovery
;
36
, 3
;
987-1014
;
2022
- Article (Journal) / Electronic Resource
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Title:Who can receive the pass? A computational model for quantifying availability in soccer
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Additional title:Data Min Knowl Disc
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Contributors:
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Published in:Data Mining and Knowledge Discovery ; 36, 3 ; 987-1014
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Publisher:
- New search for: Springer US
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Place of publication:New York
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Publication date:2022-05-01
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Size:28 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Licence:
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Source:
Table of contents – Volume 36, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 917
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XEM: An explainable-by-design ensemble method for multivariate time series classificationFauvel, Kevin / Fromont, Élisa / Masson, Véronique / Faverdin, Philippe / Termier, Alexandre et al. | 2022
- 958
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Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learningPeng, Hankui / Pavlidis, Nicos G. et al. | 2022
- 987
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Who can receive the pass? A computational model for quantifying availability in soccerDick, Uwe / Link, Daniel / Brefeld, Ulf et al. | 2022
- 1015
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PETSC: pattern-based embedding for time series classificationFeremans, Len / Cule, Boris / Goethals, Bart et al. | 2022
- 1062
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Novel features for time series analysis: a complex networks approachSilva, Vanessa Freitas / Silva, Maria Eduarda / Ribeiro, Pedro / Silva, Fernando et al. | 2022
- 1102
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Using p-values for the comparison of classifiers: pitfalls and alternativesBerrar, Daniel et al. | 2022
- 1140
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Interpretability, personalization and reliability of a machine learning based clinical decision support systemValente, F. / Paredes, S. / Henriques, J. / Rocha, T. / de Carvalho, P. / Morais, J. et al. | 2022
- 1174
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Sufficient dimension reduction for average causal effect estimationCheng, Debo / Li, Jiuyong / Liu, Lin / Le, Thuc Duy / Liu, Jixue / Yu, Kui et al. | 2022
- 1197
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Ranking with submodular functions on a budgetZhang, Guangyi / Tatti, Nikolaj / Gionis, Aristides et al. | 2022
- 1219
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The area under the ROC curve as a measure of clustering qualityJaskowiak, Pablo A. / Costa, Ivan G. / Campello, Ricardo J. G. B. et al. | 2022