| Using case-based reasoning to predict marathon performance and recommend tailored training plans C Feely, B Caulfield, A Lawlor, B Smyth Case-Based Reasoning Research and Development: 28th International Conference …, 2020 | 30 | 2020 |
| Providing explainable race-time predictions and training plan recommendations to marathon runners C Feely, B Caulfield, A Lawlor, B Smyth Proceedings of the 14th ACM Conference on Recommender Systems, 539-544, 2020 | 20 | 2020 |
| Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners B Smyth, A Lawlor, J Berndsen, C Feely User Modeling and User-Adapted Interaction 32 (5), 787-838, 2022 | 16 | 2022 |
| A case-based reasoning approach to predicting and explaining running related injuries C Feely, B Caulfield, A Lawlor, B Smyth Case-Based Reasoning Research and Development: 29th International Conference …, 2021 | 10 | 2021 |
| An extended case-based approach to race-time prediction for recreational marathon runners C Feely, B Caulfield, A Lawlor, B Smyth International Conference on Case-Based Reasoning, 335-349, 2022 | 5 | 2022 |
| Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations C Feely, B Caulfield, A Lawlor, B Smyth Proceedings of the 31st ACM Conference on User Modeling, Adaptation and …, 2023 | 2 | 2023 |
| Estimating the cost of training disruptions on marathon performance C Feely, B Smyth, B Caulfield, A Lawlor Frontiers in Sports and Active Living 4, 1096124, 2023 | 2 | 2023 |
| Using Machine Learning Techniques to Support Marathon Runners C Feely | | 2022 |
| Using Case-Based Reasoning to Support Marathon Runners C Feely Doctoral Consortium Proceedings, 7, 0 | | |
