Articles with public access mandates - Yves GrandvaletLearn more
Not available anywhere: 3
Prescription-drug-related risk in driving: comparing conventional and lasso shrinkage logistic regressions
M Avalos, ND Adroher, E Lagarde, F Thiessard, Y Grandvalet, B Contrand, ...
Epidemiology 23 (5), 706-712, 2012
Mandates: National Institute of Health and Medical Research, France
Variable selection on large case‐crossover data: application to a registry‐based study of prescription drugs and road traffic crashes
M Avalos, L Orriols, H Pouyes, Y Grandvalet, F Thiessard, E Lagarde, ...
Pharmacoepidemiology and drug safety 23 (2), 140-151, 2014
Mandates: National Institute of Health and Medical Research, France
Harnessing Superclasses for Learning from Hierarchical Databases
N Urbani, S Rousseau, Y Grandvalet, L Tanzi
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024
Mandates: Agence Nationale de la Recherche
Available somewhere: 6
Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm
M Avalos, H Pouyes, Y Grandvalet, L Orriols, E Lagarde
BMC bioinformatics 16, 1-11, 2015
Mandates: National Institute of Health and Medical Research, France
Predictive models for music
JF Paiement, Y Grandvalet, S Bengio
Connection Science 21 (2-3), 253-272, 2009
Mandates: Swiss National Science Foundation
A distance model for rhythms
JF Paiement, Y Grandvalet, S Bengio, D Eck
Proceedings of the 25th international conference on Machine learning, 736-743, 2008
Mandates: Swiss National Science Foundation
A review of benchmarks for visual defect detection in the manufacturing industry
P Carvalho, A Durupt, Y Grandvalet
International Joint Conference on Mechanics, Design Engineering & Advanced …, 2022
Mandates: Agence Nationale de la Recherche
A survey of machine learning approaches for visual inspection on the dagm dataset
P Carvalho, A Durupt, Y Grandvalet
Advances in Manufacturing Technology XXXV, 255-260, 2022
Mandates: Agence Nationale de la Recherche
Detecting visual anomalies in an industrial environment: Unsupervised methods put to the test on the AutoVI dataset
P Carvalho, M Lafou, A Durupt, A Leblanc, Y Grandvalet
Computers in Industry 163, 104151, 2024
Mandates: Agence Nationale de la Recherche
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