Author Search Results :: dvmf

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1

Using pseudo cases and stratified case-based reasoning to generate and evaluate training adjustments for marathon runners

Feely, C., Caulfield, B., Lawlor, A., Smyth, B.
Published in Artificial Intelligence XLI (2024)
“…Lawlor, A.…”

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2

Mining marathon training data to generate useful user profiles

Berndsen, J., Smyth, B., Lawlor, A.
Published in Machine Learning and Data Mining for Sports Analytics (2020)
“…Lawlor, A.…”

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3

Using case-based reasoning to predict marathon performance and recommend tailored training plans

Feely, C., Caulfield, B., Lawlor, A., Smyth, B.
Published in Case-Based Reasoning Research and Development. ICCBR 2020 (2020)
“…Lawlor, A.…”

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4

Fit to run: Personalised recommendations for marathon training

Berndsen, J., Smyth, B., Lawlor, A.
Published in 2020 Proceeding: RecSys '20: Fourteenth ACM Conference on Recommender Systems Virtual Event Brazil September, 2020 (2020)
“…Lawlor, A.…”

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5

An evaluation of the training determinants of marathon performance: A meta-analysis with meta-regression

Doherty, C., Keogh, A., Davenport, J., Lawlor, A., Smyth, B., Caulfield, B.
Published in Journal of Science and Medicine in Sport (2020)
“…Lawlor, A.…”

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6

Prediction equations for marathon performance: A systematic review

Keogh, A., Smyth, B., Caulfield, B., Lawlor, A., Berndsen, J., Doherty, J.
Published in International Journal of Sports Physiology and Performance (2019)
“…Lawlor, A.…”

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