Anna Palczewska

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 16

Top Topics

Frequent Subsequences

Mining Algorithm

Top Venues

Publications

Balbir Singh, Anatoliy Gorbenko, Anna Palczewska, Hissam Tawfik
Application of Machine Learning Techniques to Predict Teenage Obesity Using Earlier Childhood Measurements from Millennium Cohort Study. ICCBDC (2023)
Victor Elijah Adeyemo, Anna Palczewska, Ben Jones, Dan Weaving
Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns. CoRR (2023)
Christopher Todd, Anna Palczewska, Dan Weaving
Injury Risk Prediction in Rugby League Players with Training Volume Data and Machine Learning. UKCI (2022)
Jackie Campbell, Anna Palczewska, Ayotomide Adeyeye, Osayande Omobude, Windi Marva, Claire Griffiths, Paul Gately, Dorothy Monekosso
Weight Management Programme: Use of Machine Learning Approaches to Identify Client Outcomes. UKCI (2022)
Thomas Sawczuk, Anna Palczewska, Ben Jones, Jan Palczewski
Use of Kernel Density Estimation to Understand the Spatial Trends of Attacking Possessions in Rugby League. UKCI (2022)
Victor Elijah Adeyemo, Anna Palczewska, Ben Jones
LCCspm: l-Length Closed Contiguous Sequential Patterns Mining Algorithm to Find Frequent Athlete Movement Patterns from GPS. ICMLA (2021)
Anna Palczewska, Urszula Markowska-Kaczmar
Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions. ICCS (2) (2021)
Justin Keen, Roy A. Ruddle, Jan Palczewski, Georgios Aivaliotis, Anna Palczewska, Christopher Megone, Kevin Macnish
Machine learning, materiality and governance: A health and social care case study. Inf. Polity 26 (1) (2021)
Thomas Sawczuk, Anna Palczewska, Ben Jones
Markov Decision Processes with Contextual Nodes as a Method of Assessing Attacking Player Performance in Rugby League. UKCI (2021)
Thomas Sawczuk, Anna Palczewska, Ben Jones
Development of an expected possession value model to analyse team attacking performances in rugby league. CoRR (2021)
Oladapo Babajide, Hissam Tawfik, Anna Palczewska, Anatoliy Gorbenko, Arne Astrup, J. Alfredo Martinez, Jean-Michel Oppert, Thorkild I. A. Sørensen
A Machine Learning Approach to Short-Term Body Weight Prediction in a Dietary Intervention Program. ICCS (4) (2020)
Oladapo Babajide, Hissam Tawfik, Anna Palczewska, Anatoliy Gorbenko, Arne Astrup, J. Alfredo Martinez, Jean-Michel Oppert, Thorkild I. A. Sørensen
Application of Unsupervised Learning in Weight-Loss Categorisation for Weight Management Programs. DESSERT (2019)
Richard Marchese Robinson, Anna Palczewska, Jan Palczewski, Nathan J. Kidley
Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets. J. Chem. Inf. Model. 57 (8) (2017)
Anna Palczewska, Jan Palczewski, Georgios Aivaliotis, Lukasz Kowalik
RobustSPAM for Inference from Noisy Longitudinal Data and Preservation of Privacy. ICMLA (2017)
Remigiusz Kozlowski, Anna Palczewska, Lukasz Borowiecki
Analysis of Expanded Possibilities of ITS Systems Augmented with New Vision System Elements: The Case of Lodz. TST (2017)
Remigiusz Kozlowski, Anna Palczewska, Jakub Jablonski
The Scope and Capabilities of ITS - the Case of Lodz. TST (2016)
Pritesh Mistry, Anna Palczewska, Daniel Neagu, Paul R. Trundle
Using computational methods for the prediction of drug vehicles. UKCI (2014)
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
Interpreting random forest classification models using a feature contribution method. CoRR (2013)
Anna Palczewska, Xin Fu, Paul R. Trundle, Longzhi Yang, Daniel Neagu, Mick J. Ridley, Kim Travis
Towards model governance in predictive toxicology. Int. J. Inf. Manag. 33 (3) (2013)
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
Interpreting Random Forest Classification Models Using a Feature Contribution Method. IRI (best papers) (2013)
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
Interpreting random forest models using a feature contribution method. IRI (2013)
Anna Palczewska, Daniel Neagu, Mick J. Ridley
Using Pareto points for model identification in predictive toxicology. J. Cheminformatics 5 (2013)