Anna Palczewska

23 papers C 2Misc 1Journal 8Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
The use of match-based exact movement activities to classify elite rugby league players into positional groups.
Int. J. Data Sci. Anal.
Victor Elijah Adeyemo, Anna Palczewska, Ben Jones, Dan Weaving
2023 — conf
Application of Machine Learning Techniques to Predict Teenage Obesity Using Earlier Childhood Measurements from Millennium Cohort Study.
ICCBDC
Balbir Singh, Anatoliy Gorbenko, Anna Palczewska, Hissam Tawfik
2023 J jnl
Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns.
CoRR
Victor Elijah Adeyemo, Anna Palczewska, Ben Jones, Dan Weaving
2022 — conf
Injury Risk Prediction in Rugby League Players with Training Volume Data and Machine Learning.
UKCI
Christopher Todd, Anna Palczewska, Dan Weaving
2022 — conf
Use of Kernel Density Estimation to Understand the Spatial Trends of Attacking Possessions in Rugby League.
UKCI
Thomas Sawczuk, Anna Palczewska, Ben Jones, Jan Palczewski
2022 — conf
Weight Management Programme: Use of Machine Learning Approaches to Identify Client Outcomes.
UKCI
Jackie Campbell, Anna Palczewska, Ayotomide Adeyeye, Osayande Omobude, Windi Marva, Claire Griffiths, Paul Gately, Dorothy Monekosso
2021 J jnl
Development of an expected possession value model to analyse team attacking performances in rugby league.
CoRR
Thomas Sawczuk, Anna Palczewska, Ben Jones
2021 — conf
Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions.
ICCS (2)
Anna Palczewska, Urszula Markowska-Kaczmar
2021 C conf
LCCspm: l-Length Closed Contiguous Sequential Patterns Mining Algorithm to Find Frequent Athlete Movement Patterns from GPS.
ICMLA
Victor Elijah Adeyemo, Anna Palczewska, Ben Jones
2021 J jnl
Machine learning, materiality and governance: A health and social care case study.
Inf. Polity
Justin Keen, Roy A. Ruddle, Jan Palczewski, Georgios Aivaliotis, Anna Palczewska, Christopher Megone, Kevin Macnish
2021 — conf
Markov Decision Processes with Contextual Nodes as a Method of Assessing Attacking Player Performance in Rugby League.
UKCI
Thomas Sawczuk, Anna Palczewska, Ben Jones
2020 — conf
A Machine Learning Approach to Short-Term Body Weight Prediction in a Dietary Intervention Program.
ICCS (4)
Oladapo Babajide, Hissam Tawfik, Anna Palczewska, Anatoliy Gorbenko, Arne Astrup, J. Alfredo Martinez, Jean-Michel Oppert, Thorkild I. A. Sørensen
2019 — conf
Application of Unsupervised Learning in Weight-Loss Categorisation for Weight Management Programs.
DESSERT
Oladapo Babajide, Hissam Tawfik, Anna Palczewska, Anatoliy Gorbenko, Arne Astrup, J. Alfredo Martinez, Jean-Michel Oppert, Thorkild I. A. Sørensen
2017 — conf
Analysis of Expanded Possibilities of ITS Systems Augmented with New Vision System Elements: The Case of Lodz.
TST
Remigiusz Kozlowski, Anna Palczewska, Lukasz Borowiecki
2017 J jnl
Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets.
J. Chem. Inf. Model.
Richard Marchese Robinson, Anna Palczewska, Jan Palczewski, Nathan J. Kidley
2017 C conf
RobustSPAM for Inference from Noisy Longitudinal Data and Preservation of Privacy.
ICMLA
Anna Palczewska, Jan Palczewski, Georgios Aivaliotis, Lukasz Kowalik
2016 — conf
The Scope and Capabilities of ITS - the Case of Lodz.
TST
Remigiusz Kozlowski, Anna Palczewska, Jakub Jablonski
2014 — conf
Using computational methods for the prediction of drug vehicles.
UKCI
Pritesh Mistry, Anna Palczewska, Daniel Neagu, Paul R. Trundle
2013 — conf
Interpreting Random Forest Classification Models Using a Feature Contribution Method.
IRI (best papers)
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
2013 J jnl
Interpreting random forest classification models using a feature contribution method.
CoRR
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
2013 Misc conf
Interpreting random forest models using a feature contribution method.
IRI
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
2013 J jnl
Towards model governance in predictive toxicology.
Int. J. Inf. Manag.
Anna Palczewska, Xin Fu, Paul R. Trundle, Longzhi Yang, Daniel Neagu, Mick J. Ridley, Kim Travis
2013 J jnl
Using Pareto points for model identification in predictive toxicology.
J. Cheminformatics
Anna Palczewska, Daniel Neagu, Mick J. Ridley