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Prospective Prediction of Body Mass Index Trajectories using Multi-task Gaussian Processes
Clinicians often investigate the body mass index (BMI) trajectories of children to assess their growth with respect to their peers, as …
Arthur Leroy, Varsha Gupta, Mya Thway Tint, Delicia Ooi Shu Qin, Keith M Godfrey, Fabian Yap, Leck Ngee, Yung Seng Lee, Johan G Eriksson, Navin Michael, Mauricio a Alvarez, Dennis Wang
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Prospective Prediction of Body Mass Index Trajectories using Multi-task Gaussian Processes
Longitudinal prediction of DNA methylation to forecast epigenetic outcomes
Interrogating the evolution of biological changes at early stages of life requires longitudinal profiling of molecules, such as DNA …
Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio a Alvarez, Dennis Wang
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Longitudinal prediction of DNA methylation to forecast epigenetic outcomes
Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets
Multi-output Gaussian processes (MOGPs) have been introduced to deal with multiple tasks by exploiting the correlations between …
Chunchao Ma, Arthur Leroy, Mauricio Alvarez
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Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets
A Bayesian Framework for Multivariate Differential Analysis accounting for Missing Data
Current statistical methods in differential proteomics analysis generally leave aside several challenges, such as missing values, …
Marie Chion, Arthur Leroy
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A Bayesian Framework for Multivariate Differential Analysis accounting for Missing Data
Functional Data Analysis in Sport Science: Example of Swimmers’ Progression Curves Clustering

Morphology, Talent Identification, Training Methods… Among the Many Ways of Looking at Performance in Swimming. (Chapter 4)

This …
Yves Dominicy, Christophe Ley, Arthur Leroy, Robin Pla, ...
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Functional Data Analysis in Sport Science: Example of Swimmers’ Progression Curves Clustering
Cluster-Specific Predictions with Multi-Task Gaussian Processes
A model involving Gaussian processes (GPs) is introduced to simultaneously handle multitask learning, clustering, and prediction for …
Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
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Cluster-Specific Predictions with Multi-Task Gaussian Processes
MAGMA: inference and prediction using multi-task Gaussian processes with common mean
A novel multi-task Gaussian process (GP) framework is proposed, by using a common mean process for sharing information across tasks. In …
Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
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MAGMA: inference and prediction using multi-task Gaussian processes with common mean
International Swimming League: Do Successive Events Lead to Improve Swimming Performance?
Purpose: To quantify the impact of successive competitions on swimming performance in world-class swimmers. Methods: An entire data set …
Robin Pla, Arthur Leroy, Yannis Raineteau, Philippe Hellard
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International Swimming League: Do Successive Events Lead to Improve Swimming Performance?
Multi-task learning models for functional data and application to the prediction of sports performances
The present document is dedicated to the analysis of functional data and the definition of multi-task models for regression and …
Arthur Leroy
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Multi-task learning models for functional data and application to the prediction of sports performances
Body and Boat: Significance of Morphology on Elite Rowing Performance
Objectives: The purpose of this study was to determine and weigh the anthropometric indicators that were associated with pacing …
Quentin De Larochelambert, Scott Del Vecchio, Arthur Leroy, Stephanie Duncombe, Jean-Francois Toussaint, Adrien Sedeaud
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Body and Boat: Significance of Morphology on Elite Rowing Performance