Marta Avalos

发表

From Deterministic to Constructivist Paradigm: An Overview of the F.S.F. Research Program

Philippe Hellard, Marta Avalos, André Menaut, 2003, Int. J. Comput. Sci. Sport.

High-Dimensional Sparse Matched Case-Control and Case-Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies

Yves Grandvalet, Marta Avalos, Hélène Pouyes, 2013, CIBB.

Modèles additifs parcimonieux. (Parsimonious additive models)

Marta Avalos, 2004 .

Penalized logistic regression with low prevalence exposures beyond high dimensional settings

Marta Avalos, Martin Schumacher, Emmanuel Lagarde, 2019, PloS one.

Analysis of multiple exposures in the case‐crossover design via sparse conditional likelihood

Yves Grandvalet, Marta Avalos, Ludivine Orriols, 2012, Statistics in medicine.

Contribution à la sélection de modèle via pénalisation Lasso en Épidémiologie. (Contribution to model selection via Lasso penalization in Epidemiology)

Marta Avalos, M. Avalos, 2018 .

Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training pdf

Binbin Xu, Marta Avalos, Frantz Thiessard, 2019, ArXiv.

Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm

Yves Grandvalet, Marta Avalos, Hélène Pouyes, 2015, BMC Bioinformatics.

Representation Learning of Compositional Data

Richard Nock, Cheng Soon Ong, Ke Sun, 2018, NeurIPS.

A comparison of unsupervised curve classification methods for sport training data

Philippe Hellard, Marta Avalos, Gaëlle Lefort, 2016 .

High-dimensional compositional microbiota data: state-of-the-art of methods and software implementations

Marta Avalos, Rodolphe Thiébaut, Perrine Soret, 2017 .

Clustering of temporal sport training curves: a comparison of FDA and LDA approaches

Philippe Hellard, Marta Avalos, Gaëlle Lefort, 2016 .

Parsimonious additive models

Christophe Ambroise, Yves Grandvalet, Marta Avalos, 2007, Comput. Stat. Data Anal..

Regularization Methods for Additive Models

Christophe Ambroise, Yves Grandvalet, Marta Avalos, 2003, IDA.

Comparing methods for summarizing a training load in prediction models of swimming performance

Philippe Hellard, Marta Avalos, Charlotte Scordia, 2014 .

Discrimination par modèles additifs parcimonieux

Christophe Ambroise, Yves Grandvalet, Marta Avalos, 2005, Rev. d'Intelligence Artif..

De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems

Marta Avalos, Philippe Revel, Frantz Thiessard, 2021, FLAIRS.

Optimising Criteria for Manual Smear Review Following Automated Blood Count Analysis: A Machine Learning Approach

Marta Avalos, Marcela Henríquez-Henríquez, Hélène Touchais, 2020, IBICA.

Variable selection on large case‐crossover data: application to a registry‐based study of prescription drugs and road traffic crashes

Yves Grandvalet, Marta Avalos, Frantz Thiessard, 2014, Pharmacoepidemiology and drug safety.

Prescription-Drug-Related Risk in Driving: Comparing Conventional and Lasso Shrinkage Logistic Regressions

Yves Grandvalet, Marta Avalos, Frantz Thiessard, 2012, Epidemiology.

Modelling of optimal training load patterns during the 11 weeks preceding major competition in elite swimmers.

Philippe Hellard, Marta Avalos, David B Pyne, 2017, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

Philippe Hellard, Marta Avalos, David B Pyne, 2015, Medicine and science in sports and exercise.

Assessing the limitations of the Banister model in monitoring training

Philippe Hellard, Marta Avalos, J. Chatard, 2006, Journal of sports sciences.

MODELING THE RESIDUAL EFFECTS AND THRESHOLD SATURATION OF TRAINING: ACASE STUDY OF OLYMPIC SWIMMERS

Philippe Hellard, Marta Avalos, J. Chatard, 2005, Journal of strength and conditioning research.

clogitLasso: an R package for L1 penalized estimation of conditional logistic regression models

Marta Avalos, Hélène Pouyes, 2012 .

Model selection via the lasso in conditional logistic regression

Marta Avalos, 2009 .

Modeling the training-performance relationship using a mixed model in elite swimmers.

Philippe Hellard, Marta Avalos, J. Chatard, 2003, Medicine and science in sports and exercise.

Identifying Optimal Overload and Taper in Elite Swimmers over Time.

Philippe Hellard, Marta Avalos, David Pyne, 2013, Journal of sports science & medicine.