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ORCIDSimon Bernard 0001
Person information
- affiliation: LITIS (UR 4108), Université de Rouen Normandie, Rouen, France
Other persons with the same name
- Simon Bernard 0002
![[0000-0002-5224-8986]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5224-8986")
— Université Le Havre Normandie, Le Havre, France
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2020 – today
- 2024
[j6]Usman Malik, Simon Bernard, Alexandre Pauchet, Clément Chatelain, Romain Picot-Clémente, Jérôme Cortinovis:
Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets. IEEE Access 12: 15902-15916 (2024)- [j5]Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte:
Random forest kernel for high-dimension low sample size classification. Stat. Comput. 34(1): 9 (2024) - [i10]Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hérault, Clément Chatelain:
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning. CoRR abs/2410.09306 (2024) - 2023
- [c13]Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Domain Translation via Latent Space Mapping. IJCNN 2023: 1-10 - [i9]Fernando Gonzalez, François-Xavier Demoulin, Simon Bernard:
Towards Long-Term predictions of Turbulence using Neural Operators. CoRR abs/2307.13517 (2023) - [i8]Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation. CoRR abs/2309.14394 (2023) - [i7]Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte:
Random Forest Dissimilarity for High-Dimension Low Sample Size Classification. CoRR abs/2310.14710 (2023) - 2022
- [i6]Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Domain Translation via Latent Space Mapping. CoRR abs/2212.03361 (2022) - 2020
- [c12]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. ICPR 2020: 1344-1351 - [i5]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. CoRR abs/2007.02572 (2020) - [i4]Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte:
Random Forest for Dissimilarity-based Multi-view Learning. CoRR abs/2007.08377 (2020)
2010 – 2019
- 2019
- [j4]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
Random forest dissimilarity based multi-view learning for Radiomics application. Pattern Recognit. 88: 185-197 (2019) - 2018
- [c11]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: 779-787 - [c10]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dynamic Voting in Multi-view Learning for Radiomics Applications. S+SSPR 2018: 32-41 - [i3]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dissimilarity-based representation for radiomics applications. CoRR abs/1803.04460 (2018) - [i2]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 abs/1803.11241 (2018) - [i1]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dynamic voting in multi-view learning for radiomics applications. CoRR abs/1806.07686 (2018) - 2016
- [j3]Simon Bernard, Clément Chatelain, Sébastien Adam, Robert Sabourin:
The Multiclass ROC Front method for cost-sensitive classification. Pattern Recognit. 52: 46-60 (2016) - [c9]Clément Dubos, Simon Bernard, Sébastien Adam, Robert Sabourin:
ROC-based cost-sensitive classification with a reject option. ICPR 2016: 3320-3325 - 2013
- [j2]Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
One class random forests. Pattern Recognit. 46(12): 3490-3506 (2013) - 2012
- [j1]Simon Bernard, Sébastien Adam, Laurent Heutte:
Dynamic Random Forests. Pattern Recognit. Lett. 33(12): 1580-1586 (2012) - [c8]Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
A Random Forest Based Approach for One Class Classification in Medical Imaging. MLMI 2012: 250-257 - [c7]Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
A New Random Forest Method for One-Class Classification. SSPR/SPR 2012: 282-290 - 2010
- [c6]Simon Bernard, Laurent Heutte, Sébastien Adam:
A Study of Strength and Correlation in Random Forests. ICIC (3) 2010: 186-191
2000 – 2009
- 2009
- [b1]Simon Bernard:
Forêts Aléatoires: De l'Analyse des Mécanismes de Fonctionnement à la Construction Dynamique. (Random Forests: From the Study of Behaviors to Dynamic Induction). University of Rouen, France, 2009 - [c5]Simon Bernard, Laurent Heutte, Sébastien Adam:
Towards a Better Understanding of Random Forests through the Study of Strength and Correlation. ICIC (2) 2009: 536-545 - [c4]Simon Bernard, Laurent Heutte, Sébastien Adam:
On the selection of decision trees in Random Forests. IJCNN 2009: 302-307 - [c3]Simon Bernard, Laurent Heutte, Sébastien Adam:
Influence of Hyperparameters on Random Forest Accuracy. MCS 2009: 171-180 - 2008
- [c2]Simon Bernard, Laurent Heutte, Sébastien Adam:
Forest-RK: A New Random Forest Induction Method. ICIC (2) 2008: 430-437 - 2007
- [c1]Simon Bernard, Sébastien Adam, Laurent Heutte:
Using Random Forests for Handwritten Digit Recognition. ICDAR 2007: 1043-1047
Coauthor Index
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