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Ciara Feely
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 8
Top Topics
Training Phase
Plan Generation
Personal Preferences
Recommender Systems
Top Venues
ICCBR
UMAP
User Model. User Adapt. Interact.
RecSys
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Publications
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Ciara Feely
,
Brian Caulfield
,
Aonghus Lawlor
,
Barry Smyth
A Case-Based Reasoning Approach to Post-injury Training Recommendations for Marathon Runners.
ICCBR
(2024)
Ciara Feely
,
Brian Caulfield
,
Aonghus Lawlor
,
Barry Smyth
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations.
UMAP
(2023)
Ciara Feely
Using Machine Learning Techniques to Support Marathon Runners.
ICCBR Doctoral Consortium
(2022)
Barry Smyth
,
Aonghus Lawlor
,
Jakim Berndsen
,
Ciara Feely
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners.
User Model. User Adapt. Interact.
32 (5) (2022)
Ciara Feely
,
Brian Caulfield
,
Aonghus Lawlor
,
Barry Smyth
An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners.
ICCBR
(2022)
Ciara Feely
,
Brian Caulfield
,
Aonghus Lawlor
,
Barry Smyth
A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries.
ICCBR
(2021)
Ciara Feely
,
Brian Caulfield
,
Aonghus Lawlor
,
Barry Smyth
Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans.
ICCBR
(2020)
Ciara Feely
,
Brian Caulfield
,
Aonghus Lawlor
,
Barry Smyth
Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners.
RecSys
(2020)