Brian Caulfield 0001

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Ciara Feely

> Home > Persons > Brian Caulfield 0001

Publications

2023
[c78]
- view
  authority control:
- export record
  dblp key:
  - conf/um/Feely0LS23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/um/Feely0LS23
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations. UMAP 2023: 183-193
2022
[c75]
- view
  authority control:
- export record
  dblp key:
  - conf/iccbr/FeelyCLS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccbr/FeelyCLS22
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners. ICCBR 2022: 335-349
2021
[c73]
- view
  authority control:
- export record
  dblp key:
  - conf/iccbr/FeelyCLS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccbr/FeelyCLS21
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries. ICCBR 2021: 79-93
2020
[c67]
- view
  authority control:
- export record
  dblp key:
  - conf/iccbr/FeelyCLS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccbr/FeelyCLS20
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans. ICCBR 2020: 67-81
[c65]
- view
  authority control:
- export record
  dblp key:
  - conf/recsys/Feely0LS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/recsys/Feely0LS20
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners. RecSys 2020: 539-544

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.