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Grandvalet, Yves
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1

A Review of Benchmarks for Visual Defect Detection in the M..:

, In: Advances on Mechanics, Design Engineering and Manufacturing IV; Lecture Notes in Mechanical Engineering,
Carvalho, Philippe ; Durupt, Alexandre ; Grandvalet, Yves - p. 1527-1538 , 2022
Link: https://doi.org/10.1007/..
 
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2

Co-clustering for Fair Recommendation:

, In: Communications in Computer and Information Science; Machine Learning and Principles and Practice of Knowledge Discovery in Databases,
Frisch, Gabriel ; Leger, Jean-Benoist ; Grandvalet, Yves - p. 607-630 , 2021
Link: https://doi.org/10.1007/..
 
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3

Learning from missing data with the binary latent block mod..:

Frisch, Gabriel ; Leger, Jean-Benoist ; Grandvalet, Yves
Statistics and Computing.  32 (2021)  1 - p. , 2021
Link: https://doi.org/10.1007/..
 
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4

Transfer learning in computer vision tasks: Remember where ..:

Li, Xuhong ; Grandvalet, Yves ; Davoine, Franck...
Image and Vision Computing.  93 (2020)  - p. 103853 , 2020
Link: https://doi.org/10.1016/..
 
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5

A baseline regularization scheme for transfer learning with..:

Li, Xuhong ; Grandvalet, Yves ; Davoine, Franck
Pattern Recognition.  98 (2020)  - p. 107049 , 2020
Link: https://doi.org/10.1016/..
 
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6

Disparity weighted loss for semantic segmentation of drivin..:

, In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC),
Loukkal, Abdelhak ; Grandvalet, Yves ; Li, You - p. 3427-3432 , 2019
Link: https://doi.org/10.1109/..
 
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7

On coding effects in regularized categorical regression:

Chiquet, Julien ; Grandvalet, Yves ; Rigaill, Guillem
Statistical Modelling.  16 (2016)  3 - p. 228-237 , 2016
Link: https://doi.org/10.1177/..
 
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8

A Coverage-Based Approach to Recommendation Diversity On Si..:

, In: Proceedings of the 10th ACM Conference on Recommender Systems,
Puthiya Parambath, Shameem A. ; Usunier, Nicolas ; Grandvalet, Yves - p. 15-22 , 2016
Link: https://dl.acm.org/doi/1..
 
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9

Beyond support in two-stage variable selection:

Bécu, Jean-Michel ; Grandvalet, Yves ; Ambroise, Christophe.
Statistics and Computing.  27 (2015)  1 - p. 169-179 , 2015
Link: https://doi.org/10.1007/..
 
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10

Sparse conditional logistic regression for analyzing large-..:

Avalos, Marta ; Pouyes, Hélène ; Grandvalet, Yves..
BMC Bioinformatics.  16 (2015)  S6 - p. , 2015
Link: https://doi.org/10.1186/..
 
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11

Extracting biomedical events from pairs of text entities:

Liu, Xiao ; Bordes, Antoine ; Grandvalet, Yves
BMC Bioinformatics.  16 (2015)  S10 - p. , 2015
Link: https://doi.org/10.1186/..
 
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12

Model selection for Gaussian latent block clustering with t..:

Lomet, Aurore ; Govaert, Gérard ; Grandvalet, Yves
Advances in Data Analysis and Classification.  12 (2014)  3 - p. 489-508 , 2014
Link: https://doi.org/10.1007/..
 
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13

Variable selection on large case‐crossover data: applicatio..:

Avalos, Marta ; Orriols, Ludivine ; Pouyes, Hélène...
Pharmacoepidemiology and Drug Safety.  23 (2013)  2 - p. 140-151 , 2013
Link: https://doi.org/10.1002/..
 
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14

Brief Report: Prescription-Drug-Related Risk in Driving: Co..:

Avalos, Marta ; Adroher, Nuria Duran ; Lagarde, Emmanuel...
Epidemiology.  23 (2012)  5 - p. 706-712 , 2012
Link: https://www.jstor.org/st..
 
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15

Analysis of multiple exposures in the case‐crossover design..:

Avalos, Marta ; Grandvalet, Yves ; Adroher, Nuria Duran..
Statistics in Medicine.  31 (2012)  21 - p. 2290-2302 , 2012
Link: https://doi.org/10.1002/..
 
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