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Michael Fop

Showing results (1-10 of 8) with videos related to

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Advances in Data Analysis and Classification|March 21, 2022
Unobserved classes and extra variables in high-dimensional discriminant analysisMichael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, et al.
The R Journal|November 8, 2016
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture ModelsLuca Scrucca, Michael Fop, T Brendan Murphy, et al.
Scientific Reports|July 29, 2024
A machine learning approach to predict in vivo skin growthMatt Nagle, Hannah Conroy Broderick, Adrian Buganza Tepole, et al.
Annals of Biomedical Engineering|April 6, 2023
Analysis of In Vivo Skin Anisotropy Using Elastic Wave Measurements and Bayesian ModellingMatt Nagle, Susan Price, Antonia Trotta, et al.
Acta Biomaterialia|May 16, 2024
A Gaussian process approach for rapid evaluation of skin tensionMatt Nagle, Hannah Conroy Broderick, Christelle Vedel, et al.
Journal of Science and Medicine in Sport|May 5, 2020
Can the Y balance test identify those at risk of contact or non-contact lower extremity injury in adolescent and collegiate Gaelic games?Siobhán O'Connor, Noel McCaffrey, Enda F Whyte, et al.
Research Square|May 3, 2024
A machine learning approach to predict <i>in vivo</i> skin growthMatt Nagle, Hannah Conroy Broderick, Adrian Buganza Tepole, et al.
Journal of Sport Rehabilitation|July 25, 2018
Is Poor Hamstring Flexibility a Risk Factor for Hamstring Injury in Gaelic Games?Siobhán O'Connor, Noel McCaffrey, Enda F Whyte, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Advances in Data Analysis and Classification|March 21, 2022
Unobserved classes and extra variables in high-dimensional discriminant analysisMichael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, et al.
The R Journal|November 8, 2016
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture ModelsLuca Scrucca, Michael Fop, T Brendan Murphy, et al.
Scientific Reports|July 29, 2024
A machine learning approach to predict in vivo skin growthMatt Nagle, Hannah Conroy Broderick, Adrian Buganza Tepole, et al.
Annals of Biomedical Engineering|April 6, 2023
Analysis of In Vivo Skin Anisotropy Using Elastic Wave Measurements and Bayesian ModellingMatt Nagle, Susan Price, Antonia Trotta, et al.
Acta Biomaterialia|May 16, 2024
A Gaussian process approach for rapid evaluation of skin tensionMatt Nagle, Hannah Conroy Broderick, Christelle Vedel, et al.
Journal of Science and Medicine in Sport|May 5, 2020
Can the Y balance test identify those at risk of contact or non-contact lower extremity injury in adolescent and collegiate Gaelic games?Siobhán O'Connor, Noel McCaffrey, Enda F Whyte, et al.
Research Square|May 3, 2024
A machine learning approach to predict <i>in vivo</i> skin growthMatt Nagle, Hannah Conroy Broderick, Adrian Buganza Tepole, et al.
Journal of Sport Rehabilitation|July 25, 2018
Is Poor Hamstring Flexibility a Risk Factor for Hamstring Injury in Gaelic Games?Siobhán O'Connor, Noel McCaffrey, Enda F Whyte, et al.
Pageof 1