Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Susanne Jauhiainen"'
Publikováno v:
Scandinavian Journal of Medicine & Science in Sports. 30:732-740
Previous studies have suggested that runners can be subgrouped based on homogeneous gait patterns, however, no previous study has assessed the presence of such subgroups in a population of individuals across a wide variety of injuries. Therefore, the
Autor:
Susanne Jauhiainen, Jukka-Pekka Kauppi, Tron Krosshaug, Roald Bahr, Julia Bartsch, Sami Äyrämö
Background: Injury risk prediction is an emerging field in which more research is needed to recognize the best practices for accurate injury risk assessment. Important issues related to predictive machine learning need to be considered, for example,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::835fcac677a6dd6e340f7ad38603723a
http://urn.fi/URN:NBN:fi:jyu-202208244317
http://urn.fi/URN:NBN:fi:jyu-202208244317
Publikováno v:
International Journal of Computer Science in Sport. 18:125-136
Identifying potential future elite athletes is important in many sporting events. The successful identification of potential future elite athletes at an early age would help to provide high-quality coaching and training environments in which to optim
Publikováno v:
Algorithms, Vol 10, Iss 3, p 105 (2017)
Clustering is an unsupervised machine learning and pattern recognition method. In general, in addition to revealing hidden groups of similar observations and clusters, their number needs to be determined. Internal clustering validation indices estima
Externí odkaz:
https://doaj.org/article/c3b3a1403af943d0b319df4778d46f47
Autor:
Susanne Jauhiainen, Mirka Saarela
Publikováno v:
SN Applied Sciences. 3
Explainable artificial intelligence is an emerging research direction helping the user or developer of machine learning models understand why models behave the way they do. The most popular explanation technique is feature importance. However, there
Autor:
Mari Leppänen, Jukka-Pekka Kauppi, Susanne Jauhiainen, Kati Pasanen, Tommi Vasankari, Jari Parkkari, Sami Äyrämö, Pekka Kannus
Publikováno v:
International journal of sports medicine. 42(2)
The purpose of this article is to present how predictive machine learning methods can be utilized for detecting sport injury risk factors in a data-driven manner. The approach can be used for finding new hypotheses for risk factors and confirming the
Publikováno v:
Education Research International, Vol 2018 (2018)
This article examines how students (N=198; aged 13 to 17) experienced the new methods for sensor-based learning in multidisciplinary teaching in lower and upper secondary education that combine the use of new sensor technology and learning from self-
Publikováno v:
Algorithms; Volume 10; Issue 3; Pages: 105
Algorithms, Vol 10, Iss 3, p 105 (2017)
Algorithms, Vol 10, Iss 3, p 105 (2017)
Clustering is an unsupervised machine learning and pattern recognition method. In general, in addition to revealing hidden groups of similar observations and clusters, their number needs to be determined. Internal clustering validation indices estima
Publikováno v:
INTER-NOISE & NOISE-CON Congress & Conference Proceedings; 2023, Vol. 265 Issue 2, p258-268, 11p
Autor:
Jauhiainen, Susanne, Kauppi, Jukka-Pekka, Krosshaug, Tron, Bahr, Roald, Bartsch, Julia, Äyrämö, Sami
Publikováno v:
American Journal of Sports Medicine; Sep2022, Vol. 50 Issue 11, p2917-2924, 8p