Simon Bernard

33 papers A* 1A 1B 4Journal 18Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation.
Trans. Mach. Learn. Res.
Tsiry Mayet, Simon Bernard, Romain Hérault, Clément Chatelain
2025 J jnl
Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics.
CoRR
Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Romain Modzelewski, Romain Hérault, Simon Bernard, Sébastien Thureau, Clément Chatelain
2025 A* conf
TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning.
ICLR
Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hérault, Clément Chatelain
2024 J jnl
Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets.
IEEE Access
Usman Malik, Simon Bernard, Alexandre Pauchet, Clément Chatelain, Romain Picot-Clémente, Jérôme Cortinovis
2024 J jnl
Random forest kernel for high-dimension low sample size classification.
Stat. Comput.
Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte
2024 J jnl
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning.
CoRR
Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hérault, Clément Chatelain
2023 B conf
Domain Translation via Latent Space Mapping.
IJCNN
Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault
2023 J jnl
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation.
CoRR
Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault
2023 J jnl
Random Forest Dissimilarity for High-Dimension Low Sample Size Classification.
CoRR
Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte
2023 J jnl
Towards Long-Term predictions of Turbulence using Neural Operators.
CoRR
Fernando Gonzalez, François-Xavier Demoulin, Simon Bernard
2022 J jnl
Domain Translation via Latent Space Mapping.
CoRR
Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault
2020 B conf
A Novel Random Forest Dissimilarity Measure for Multi-View Learning.
ICPR
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
2020 J jnl
A Novel Random Forest Dissimilarity Measure for Multi-View Learning.
CoRR
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
2020 J jnl
Random Forest for Dissimilarity-based Multi-view Learning.
CoRR
Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte
2019 J jnl
Random forest dissimilarity based multi-view learning for Radiomics application.
Pattern Recognit.
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
2018 J jnl
Dissimilarity-based representation for radiomics applications.
CoRR
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
2018 — conf
Dynamic Voting in Multi-view Learning for Radiomics Applications.
S+SSPR
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
2018 J jnl
Dynamic voting in multi-view learning for radiomics applications.
CoRR
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
2018 — conf
Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images.
ICIAR
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
2018 J jnl
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images.
CoRR
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
2016 B conf
ROC-based cost-sensitive classification with a reject option.
ICPR
Clément Dubos, Simon Bernard, Sébastien Adam, Robert Sabourin
2016 J jnl
The Multiclass ROC Front method for cost-sensitive classification.
Pattern Recognit.
Simon Bernard, Clément Chatelain, Sébastien Adam, Robert Sabourin
2013 J jnl
One class random forests.
Pattern Recognit.
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
2012 — conf
A New Random Forest Method for One-Class Classification.
SSPR/SPR
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
2012 — conf
A Random Forest Based Approach for One Class Classification in Medical Imaging.
MLMI
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
2012 J jnl
Dynamic Random Forests.
Pattern Recognit. Lett.
Simon Bernard, Sébastien Adam, Laurent Heutte
2010 — conf
A Study of Strength and Correlation in Random Forests.
ICIC (3)
Simon Bernard, Laurent Heutte, Sébastien Adam
2009 — —
Forêts Aléatoires: De l'Analyse des Mécanismes de Fonctionnement à la Construction Dynamique. (Random Forests: From the Study of Behaviors to Dynamic Induction).
Simon Bernard
2009 — conf
Influence of Hyperparameters on Random Forest Accuracy.
MCS
Simon Bernard, Laurent Heutte, Sébastien Adam
2009 B conf
On the selection of decision trees in Random Forests.
IJCNN
Simon Bernard, Laurent Heutte, Sébastien Adam
2009 — conf
Towards a Better Understanding of Random Forests through the Study of Strength and Correlation.
ICIC (2)
Simon Bernard, Laurent Heutte, Sébastien Adam
2008 — conf
Forest-RK: A New Random Forest Induction Method.
ICIC (2)
Simon Bernard, Laurent Heutte, Sébastien Adam
2007 A conf
Using Random Forests for Handwritten Digit Recognition.
ICDAR
Simon Bernard, Sébastien Adam, Laurent Heutte