Anna Palczewska
Orcid: 0000-0002-6196-9582
According to our database1,
Anna Palczewska
authored at least 21 papers
between 2013 and 2023.
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Collaborative distances:
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Bibliography
2023
Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns.
CoRR, 2023
Application of Machine Learning Techniques to Predict Teenage Obesity Using Earlier Childhood Measurements from Millennium Cohort Study.
Proceedings of the 7th International Conference on Cloud and Big Data Computing, 2023
2022
Injury Risk Prediction in Rugby League Players with Training Volume Data and Machine Learning.
Proceedings of the Advances in Computational Intelligence Systems, 2022
Use of Kernel Density Estimation to Understand the Spatial Trends of Attacking Possessions in Rugby League.
Proceedings of the Advances in Computational Intelligence Systems, 2022
Weight Management Programme: Use of Machine Learning Approaches to Identify Client Outcomes.
Proceedings of the Advances in Computational Intelligence Systems, 2022
2021
Inf. Polity, 2021
Development of an expected possession value model to analyse team attacking performances in rugby league.
CoRR, 2021
Markov Decision Processes with Contextual Nodes as a Method of Assessing Attacking Player Performance in Rugby League.
Proceedings of the Advances in Computational Intelligence Systems, 2021
LCCspm: l-Length Closed Contiguous Sequential Patterns Mining Algorithm to Find Frequent Athlete Movement Patterns from GPS.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions.
Proceedings of the Computational Science - ICCS 2021, 2021
2020
A Machine Learning Approach to Short-Term Body Weight Prediction in a Dietary Intervention Program.
Proceedings of the Computational Science - ICCS 2020, 2020
2019
Application of Unsupervised Learning in Weight-Loss Categorisation for Weight Management Programs.
Proceedings of the 10th International Conference on Dependable Systems, 2019
2017
Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets.
J. Chem. Inf. Model., August, 2017
Analysis of Expanded Possibilities of ITS Systems Augmented with New Vision System Elements: The Case of Lodz.
Proceedings of the Smart Solutions in Today's Transport, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
2016
Proceedings of the Challenge of Transport Telematics, 2016
2014
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014
2013
J. Cheminformatics, 2013
Interpreting Random Forest Classification Models Using a Feature Contribution Method.
Proceedings of the Integration of Reusable Systems [extended versions of the best papers which were presented at IEEE International Conference on Information Reuse and Integration and IEEE International Workshop on Formal Methods Integration, 2013
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013