Simon Bernard

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 15

Top Venues

CoRR

Pattern Recognit.

ICPR

IEEE Trans. Signal Process.

University of Rouen, France (PHD)

Education History

University of Rouen, France

PHD

Publications

Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault
Domain Translation via Latent Space Mapping. IJCNN (2023)
Fernando Gonzalez, François-Xavier Demoulin, Simon Bernard
Towards Long-Term predictions of Turbulence using Neural Operators. CoRR (2023)
Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault
Domain Translation via Latent Space Mapping. CoRR (2022)
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. CoRR (2020)
Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte
Random Forest for Dissimilarity-based Multi-view Learning. CoRR (2020)
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. ICPR (2020)
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
Random forest dissimilarity based multi-view learning for Radiomics application. Pattern Recognit. 88 (2019)
Kailiang Xu, Guillaume Marrelec, Simon Bernard, Quentin Grimal
Lorentzian-Model-Based Bayesian Analysis for Automated Estimation of Attenuated Resonance Spectrum. IEEE Trans. Signal Process. 67 (1) (2019)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Dissimilarity-based representation for radiomics applications. CoRR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images. ICIAR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Dynamic voting in multi-view learning for radiomics applications. CoRR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images. CoRR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Dynamic Voting in Multi-view Learning for Radiomics Applications. S+SSPR (2018)
Clement Dubos, Simon Bernard, Sébastien Adam, Robert Sabourin
ROC-based cost-sensitive classification with a reject option. ICPR (2016)
Simon Bernard, Clément Chatelain, Sébastien Adam, Robert Sabourin
The Multiclass ROC Front method for cost-sensitive classification. Pattern Recognit. 52 (2016)
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
One class random forests. Pattern Recognit. 46 (12) (2013)
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
A Random Forest Based Approach for One Class Classification in Medical Imaging. MLMI (2012)
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
A New Random Forest Method for One-Class Classification. SSPR/SPR (2012)
Simon Bernard, Sébastien Adam, Laurent Heutte
Dynamic Random Forests. Pattern Recognit. Lett. 33 (12) (2012)
Simon Bernard, Laurent Heutte, Sébastien Adam
A Study of Strength and Correlation in Random Forests. ICIC (3) (2010)
Simon Bernard, Laurent Heutte, Sébastien Adam
On the selection of decision trees in Random Forests. IJCNN (2009)
Simon Bernard, Laurent Heutte, Sébastien Adam
Towards a Better Understanding of Random Forests through the Study of Strength and Correlation. ICIC (2) (2009)
Simon Bernard, Laurent Heutte, Sébastien Adam
Influence of Hyperparameters on Random Forest Accuracy. MCS (2009)
Simon Bernard, Laurent Heutte, Sébastien Adam
Forest-RK: A New Random Forest Induction Method. ICIC (2) (2008)
Simon Bernard, Sébastien Adam, Laurent Heutte
Using Random Forests for Handwritten Digit Recognition. ICDAR (2007)

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Publication Activity (10 Years)

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Simon Bernard