Ciara Feely

Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners

Barry Smyth, Brian Caulfield, Aonghus Lawlor, 2020, RecSys.

Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners

Barry Smyth, Jakim Berndsen, Aonghus Lawlor, 2021, User Modeling and User-Adapted Interaction.

Estimating the cost of training disruptions on marathon performance

B. Caulfield, Barry Smyth, A. Lawlor, 2023, Frontiers in Sports and Active living.

A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries

Barry Smyth, Brian Caulfield, Aonghus Lawlor, 2021, International Conference on Case-Based Reasoning.

An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners

B. Caulfield, Barry Smyth, A. Lawlor, 2022, ICCBR.

Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans

Barry Smyth, Brian Caulfield, Aonghus Lawlor, 2020, ICCBR.

Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations

B. Caulfield, Barry Smyth, A. Lawlor, 2023, UMAP.

Using Machine Learning Techniques to Support Marathon Runners

Ciara Feely, 2022, ICCBR Doctoral Consortium.