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1. Injury Risk Prediction in Rugby League Players with Training Volume Data and Machine Learning

2. Weight Management Programme: Use of Machine Learning Approaches to Identify Client Outcomes

3. Use of Kernel Density Estimation to Understand the Spatial Trends of Attacking Possessions in Rugby League

5. Markov Decision Processes with Contextual Nodes as a Method of Assessing Attacking Player Performance in Rugby League

6. Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions

7. Analysis of Expanded Possibilities of ITS Systems Augmented with New Vision System Elements: The Case of Lodz

8. The Scope and Capabilities of ITS – the Case of Lodz

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