Anna Palczewska
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View article: A Bayesian Mixture Model approach to expected possession values in rugby league
A Bayesian Mixture Model approach to expected possession values in rugby league Open
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 observati…
View article: The use of match-based exact movement activities to classify elite rugby league players into positional groups
The use of match-based exact movement activities to classify elite rugby league players into positional groups Open
The cluster analysis of elite rugby league players identified groups of distinct playing positions that can be referred to as broad positional groups. However, the identified positional groups were based on traditional indicators (physical…
View article: Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns
Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns Open
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, …
View article: The use of match-based exact movement activities to classify elite rugby league players into positional groups
The use of match-based exact movement activities to classify elite rugby league players into positional groups Open
The cluster analysis of elite rugby league players identified groups of distinct playing positions, that can be referred to as broad positional groups. However, the identified positional groups were based on traditional indicators (physica…
View article: Application of Machine Learning Techniques to Predict Teenage Obesity Using Earlier Childhood Measurements from Millennium Cohort Study
Application of Machine Learning Techniques to Predict Teenage Obesity Using Earlier Childhood Measurements from Millennium Cohort Study Open
Obesity is a major global concern with more than 2.1 billion people overweight or obese worldwide, which amounts to almost 30% of the global population. If the current trend continues, the overweight and obese population is likely to incre…
View article: Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns
Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns Open
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. As there are various pattern mining algorithms, this st…
View article: A Bayesian Mixture Model Approach to Expected Possession Values in Rugby League
A Bayesian Mixture Model Approach to Expected Possession Values in Rugby League Open
The aim of this study was to improve previous zonal approaches to expected possession value (EPV) models in low data availability sports by introducing a Bayesian Mixture Model approach to an EPV model in rugby league. 99,966 observations …
View article: Optimising classification in sport: a replication study using physical and technical-tactical performance indicators to classify competitive levels in rugby league match-play
Optimising classification in sport: a replication study using physical and technical-tactical performance indicators to classify competitive levels in rugby league match-play Open
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 variable…
View article: Clustering of match running and performance indicators to assess between- and within-playing position similarity in professional rugby league
Clustering of match running and performance indicators to assess between- and within-playing position similarity in professional rugby league Open
This study aimed to determine the similarity between and within positions in professional rugby league in terms of technical performance and match displacement. Here, the analyses were repeated on 3 different datasets which consisted of te…
View article: Use of Kernel Density Estimation to understand the spatial trends of attacking possessions in rugby league
Use of Kernel Density Estimation to understand the spatial trends of attacking possessions in rugby league Open
Despite having the potential to provide significant insights into tactical preparations for future matches, very few studies have considered the spatial trends of team attacking possessions in rugby league. Those which have considered thes…
View article: Moving beyond velocity derivatives; using global positioning system data to extract sequential movement patterns at different levels of rugby league match‐play
Moving beyond velocity derivatives; using global positioning system data to extract sequential movement patterns at different levels of rugby league match‐play Open
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) algori…
View article: Development of an expected possession value model to analyse team attacking performances in rugby league
Development of an expected possession value model to analyse team attacking performances in rugby league Open
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 …
View article: Sequential movement pattern-mining (SMP) in field-based team-sport: A framework for quantifying spatiotemporal data and improve training specificity?
Sequential movement pattern-mining (SMP) in field-based team-sport: A framework for quantifying spatiotemporal data and improve training specificity? Open
Athlete external load is typically quantified as volumes or discretised threshold values using distance, speed and time. A framework accounting for the movement sequences of athletes has previously been proposed using radio frequency data.…
View article: Sequential movement pattern-mining (SMP) in field-based team-sport: A framework for quantifying spatiotemporal data and improve training specificity?
Sequential movement pattern-mining (SMP) in field-based team-sport: A framework for quantifying spatiotemporal data and improve training specificity? Open
Athlete external load is typically quantified as volumes or discretised threshold values using distance, speed and time. A framework that accounts for the movement sequences of athletes has previously been proposed using radio frequency da…
View article: Development of an expected possession value model to analyse team attacking performances in rugby league
Development of an expected possession value model to analyse team attacking performances in rugby league Open
This study aimed to provide a framework to evaluate team attacking performances in rugby league using 59,233 plays from 180 Super League matches via expected possession value (EPV) models. The EPV-308 split the pitch into 308 5m x 5m zones…
View article: A league-wide investigation into variability of rugby league match running from 322 Super League games
A league-wide investigation into variability of rugby league match running from 322 Super League games Open
Purpose:This study investigated sources of variability in the overall and phase-specific running match characteristics in elite rugby league. Methods:Microtechnology data were collected from 11 Super League (SL) teams, across…
View article: A Machine Learning Approach to Short-Term Body Weight Prediction in a Dietary Intervention Program
A Machine Learning Approach to Short-Term Body Weight Prediction in a Dietary Intervention Program Open
View article: Table of contents
Table of contents Open
View article: Ranking strategies to support toxicity prediction: A case study on potential LXR binders
Ranking strategies to support toxicity prediction: A case study on potential LXR binders Open
View article: ACCESSIBILITY OF INTERLAND CONTAINER TERMINALS IN POLAND
ACCESSIBILITY OF INTERLAND CONTAINER TERMINALS IN POLAND Open
View article: Możliwości rozwiązania problemów logistyki miejskiej w obszarze infrastruktury drogowej na przykładzie Konstantynowa Łódzkiego
Możliwości rozwiązania problemów logistyki miejskiej w obszarze infrastruktury drogowej na przykładzie Konstantynowa Łódzkiego Open
ABSTRAKT: Konstantynów Łódzki jest częścią Łódzkiego Obszaru Metropolitalnego i ma prawie 18 tys.mieszkańców.Jego położenie powoduje, że jest popularnym miejscem osiedlania się osób pracujących w Łodzi.Miasto połączone jest z Łodzią linią …
View article: Comparing the CORAL and Random Forest Approaches for Modelling the <i>In Vitro</i> Cytotoxicity of Silica Nanomaterials
Comparing the CORAL and Random Forest Approaches for Modelling the <i>In Vitro</i> Cytotoxicity of Silica Nanomaterials Open
Nanotechnology is one of the most important technological developments of the 21st century. In silico methods to predict toxicity, such as quantitative structure–activity relationships (QSARs), promote the safe-by-design approach for the d…
View article: Wpływ drogi S-8 w regionie łódzkim na przyciąganie inwestycji
Wpływ drogi S-8 w regionie łódzkim na przyciąganie inwestycji Open
Praca nagrodzona przez Marszałka Województwa Łódzkiego w XVII edycji konkursu za najlepsze rozprawy habilitacyjne i doktorskie oraz prace magisterskie i dyplomowe tematycznie związane z województwem łódzkim.
View article: Znaczenie Giełdy Transportowej dla współczesnych przedsiębiorstw produkcyjnych, transportowych i spedycyjnych na przykładzie giełdy Trans.eu
Znaczenie Giełdy Transportowej dla współczesnych przedsiębiorstw produkcyjnych, transportowych i spedycyjnych na przykładzie giełdy Trans.eu Open
W obecnych warunkach intensywnego rozwoju nowoczesnych technologii funkcjonowanie przedsiębiorstw zyskało nowe cechy i możliwości.
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