Anna Palczewska

Orcid: 0000-0002-6196-9582

According to our database1, Anna Palczewska authored at least 18 papers between 2013 and 2023.

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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

2021
Machine learning, materiality and governance: A health and social care case study.
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

RobustSPAM for Inference from Noisy Longitudinal Data and Preservation of Privacy.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
The Scope and Capabilities of ITS - the Case of Lodz.
Proceedings of the Challenge of Transport Telematics, 2016

2014
Using computational methods for the prediction of drug vehicles.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

2013
Using Pareto points for model identification in predictive toxicology.
J. Cheminformatics, 2013

Towards model governance in predictive toxicology.
Int. J. Inf. Manag., 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

Interpreting random forest models using a feature contribution method.
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013


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