An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-14923-8_22
Reference26 articles.
1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);C Feely,2020
2. Feely, C., Caulfield, B., Lawlor, A., Smyth, B.: Providing explainable race-time predictions and training plan recommendations to marathon runners, In: Fourteenth ACM Conference on Recommender Systems, RecSys 2020, New York, NY, USA, pp. 539–544. Association for Computing Machinery (2020)
3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);B Smyth,2017
4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);B Smyth,2018
5. Smyth, B., Cunningham, P.: Marathon race planning: a case-based reasoning approach. In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, 13–19 July 2018, Stockholm, Sweden, pp. 5364–5368 (2018)
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