Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Anna, Palczewska"'
Publikováno v:
PLoS ONE, Vol 19, Iss 11, p e0308222 (2024)
This study aimed to introduce a novel Bayesian Mixture Model approach to the development of an EPV model in rugby league, which could produce a smooth pitch surface and estimate individual possession outcome probabilities. 99,966 observations from th
Externí odkaz:
https://doaj.org/article/7c9199d3f1d3493f8d7126df38c32122
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0301608 (2024)
The application of pattern mining algorithms to extract movement patterns from sports big data can improve training specificity by facilitating a more granular evaluation of movement. Since movement patterns can only occur as consecutive, non-consecu
Externí odkaz:
https://doaj.org/article/1ac436624c50408da9aabe67838924b1
Autor:
Małgorzata Stefańska, Agnieszka Dębiec-Bąk, Justyna Widelak, Anna Palczewska, Anna Skrzek, Piotr Dominiak, Wojciech Kucharski, Katarzyna Kubasiak
Publikováno v:
Physiotherapy Quarterly, Vol 29, Iss 3, Pp 92-97 (2021)
Externí odkaz:
https://doaj.org/article/dd43054148d64041a79a70be50a1276d
Publikováno v:
PLoS ONE, Vol 16, Iss 11 (2021)
This study aimed to evaluate team attacking performances in rugby league via expected possession value (EPV) models. Location data from 59,233 plays in 180 Super League matches across the 2019 Super League season were used. Six EPV models were genera
Externí odkaz:
https://doaj.org/article/970c845293f647858cd2124ad66f2b45
Publikováno v:
Sciencemedicine in football.
Determining key performance indicators and classifying players accurately between competitive levels is one of the classification challenges in sports analytics. A recent study applied Random Forest algorithm to identify important variables to classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::909606596c4764fae9faf65274e53a81
https://pubmed.ncbi.nlm.nih.gov/36373953
https://pubmed.ncbi.nlm.nih.gov/36373953
Autor:
Babajide, Oladapo, Hissam, Tawfik, Anna, Palczewska, Anatoliy, Gorbenko, Astrup, Arne, Alfredo Martinez, J., Oppert, Jean-Michel, Sørensen, Thorkild I. A.
Publikováno v:
Computational Science – ICCS 2020
Weight and obesity management is one of the emerging challenges in current health management. Nutrient-gene interactions in human obesity (NUGENOB) seek to find various solutions to challenges posed by obesity and over-weight. This research was based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::40b46504439ed6bec51f01019f7d9cfc
http://europepmc.org/articles/PMC7303700
http://europepmc.org/articles/PMC7303700
Publikováno v:
European journal of sport science.
This study aims to (a) quantify the movement patterns during rugby league match-play and (b) identify if differences exist by levels of competition within the movement patterns and units through the sequential movement pattern (SMP) algorithm. Global
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89599ed076d202b26dbe6254c9454272
https://pubmed.ncbi.nlm.nih.gov/35000567
https://pubmed.ncbi.nlm.nih.gov/35000567
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecf40411d39b0349905fb7c33cb5091e
https://doi.org/10.1109/icmla52953.2021.00077
https://doi.org/10.1109/icmla52953.2021.00077
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030870935
UKCI
UKCI
Although numerous statistics have been generated across several sports to evaluate player performances, they are generally limited by failure to understand different contexts, or the impact of actions on future point scoring opportunities. Despite re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d4087c5a95f6e2a011d9c4000ba7094
https://doi.org/10.1007/978-3-030-87094-2_22
https://doi.org/10.1007/978-3-030-87094-2_22
Autor:
Simona Kovarich, Arianna Bassan, Elena Fioravanzo, Anna Palczewska, Andrea Ciacci, Daniel Neagu
Publikováno v:
Computational Toxicology. 10:130-144
The current paradigm of toxicity testing is set within a framework of Mode-of-Action (MoA)/Adverse Outcome Pathway (AOP) investigations, where novel methodologies alternative to animal testing play a crucial role, and allow to consider causal links b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a84150495604bfe517c7cacc27b44f79
https://doi.org/10.1016/j.comtox.2019.01.004
https://doi.org/10.1016/j.comtox.2019.01.004