Using Random Forests for Handwritten Digit Recognition. - Simon Bernard 001; Sébastien Adam; Laurent Heutte (ICDAR, 2007)

Forest-RK: A New Random Forest Induction Method. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (ICIC (2), 2008)

Towards a Better Understanding of Random Forests through the Study of Strength and Correlation. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (ICIC (2), 2009)

On the selection of decision trees in Random Forests. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (IJCNN, 2009)

Influence of Hyperparameters on Random Forest Accuracy. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (MCS, 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 001 (2009)

A Study of Strength and Correlation in Random Forests. - Simon Bernard 001; Laurent Heutte; Sébastien Adam (ICIC (3), 2010)

A Random Forest Based Approach for One Class Classification in Medical Imaging. - Chesner Désir; Simon Bernard 001; Caroline Petitjean; Laurent Heutte (MLMI, 2012)

A New Random Forest Method for One-Class Classification. - Chesner Désir; Simon Bernard 001; Caroline Petitjean; Laurent Heutte (SSPR/SPR, 2012)

Dynamic Random Forests. - Simon Bernard 001; Sébastien Adam; Laurent Heutte (Pattern Recognit. Lett., 2012)

One class random forests. - Chesner Désir; Simon Bernard 001; Caroline Petitjean; Laurent Heutte (Pattern Recognit., 2013)

ROC-based cost-sensitive classification with a reject option. - Clément Dubos; Simon Bernard 001; Sébastien Adam; Robert Sabourin (ICPR, 2016)

The Multiclass ROC Front method for cost-sensitive classification. - Simon Bernard 001; Clément Chatelain 001; Sébastien Adam; Robert Sabourin (Pattern Recognit., 2016)

Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images. - Hongliu Cao; Simon Bernard 001; Laurent Heutte; Robert Sabourin (ICIAR, 2018)

Dynamic Voting in Multi-view Learning for Radiomics Applications. - Hongliu Cao; Simon Bernard 001; Laurent Heutte; Robert Sabourin (S+SSPR, 2018)

Dissimilarity-based representation for radiomics applications. - Hongliu Cao; Simon Bernard 001; Laurent Heutte; Robert Sabourin (CoRR, 2018)

Random forest dissimilarity based multi-view learning for Radiomics application. - Hongliu Cao; Simon Bernard 001; Robert Sabourin; Laurent Heutte (Pattern Recognit., 2019)

A Novel Random Forest Dissimilarity Measure for Multi-View Learning. - Hongliu Cao; Simon Bernard 001; Robert Sabourin; Laurent Heutte (ICPR, 2020)

Random Forest for Dissimilarity-based Multi-view Learning. - Simon Bernard 001; Hongliu Cao; Robert Sabourin; Laurent Heutte (CoRR, 2020)

Domain Translation via Latent Space Mapping. - Tsiry Mayet; Simon Bernard 001; Clément Chatelain 001; Romain Hérault (IJCNN, 2023)

Towards Long-Term predictions of Turbulence using Neural Operators. - Fernando Gonzalez; François-Xavier Demoulin; Simon Bernard 001 (CoRR, 2023)

Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation. - Tsiry Mayet; Simon Bernard 001; Clément Chatelain 001; Romain Hérault (CoRR, 2023)

Random Forest Dissimilarity for High-Dimension Low Sample Size Classification. - Lucca Portes Cavalheiro; Simon Bernard 001; Jean Paul Barddal; Laurent Heutte (CoRR, 2023)

Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets. - Usman Malik; Simon Bernard 001; Alexandre Pauchet; Clément Chatelain 001; Romain Picot-Clémente; Jérôme Cortinovis (IEEE Access, 2024)

Random forest kernel for high-dimension low sample size classification. - Lucca Portes Cavalheiro; Simon Bernard 001; Jean Paul Barddal; Laurent Heutte (Stat. Comput., 2024)

TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning. - Tsiry Mayet; Pourya Shamsolmoali; Simon Bernard 001; Eric Granger; Romain Hérault; Clément Chatelain 001 (ICLR, 2025)

Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics. - Zacharia Mesbah; Dhruv Jain; Tsiry Mayet; Romain Modzelewski; Romain Hérault; Simon Bernard 001; Sébastien Thureau; Clément Chatelain 001 (CoRR, 2025)