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Simon Bernard
Simon Bernard
Associate Professor (MCF), LITIS lab, Université Rouen Normandie, France
Verified email at univ-rouen.fr - Homepage
Title
Cited by
Cited by
Year
Influence of hyperparameters on random forest accuracy
S Bernard, L Heutte, S Adam
Multiple Classifier Systems: 8th International Workshop, MCS 2009, Reykjavik …, 2009
1782009
One class random forests
C Désir, S Bernard, C Petitjean, L Heutte
Pattern Recognition 46 (12), 3490-3506, 2013
1642013
Dynamic random forests
S Bernard, S Adam, L Heutte
Pattern Recognition Letters 33 (12), 1580-1586, 2012
1472012
On the selection of decision trees in random forests
S Bernard, L Heutte, S Adam
2009 International Joint Conference on Neural Networks, 302-307, 2009
1182009
Using random forests for handwritten digit recognition
S Bernard, S Adam, L Heutte
Ninth international conference on document analysis and recognition (ICDAR …, 2007
1132007
Forest-RK: A new random forest induction method
S Bernard, L Heutte, S Adam
Advanced Intelligent Computing Theories and Applications. With Aspects of …, 2008
632008
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images
H Cao, S Bernard, L Heutte, R Sabourin
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
552018
Random forest dissimilarity based multi-view learning for radiomics application
H Cao, S Bernard, R Sabourin, L Heutte
Pattern Recognition 88, 185-197, 2019
522019
The multiclass ROC front method for cost-sensitive classification
S Bernard, C Chatelain, S Adam, R Sabourin
Pattern Recognition 52, 46-60, 2016
362016
A study of strength and correlation in random forests
S Bernard, L Heutte, S Adam
Advanced Intelligent Computing Theories and Applications: 6th International …, 2010
292010
Mapping fragmented agricultural systems in the Sudano-Sahelian environments of Africa using random forest and ensemble metrics of coarse resolution MODIS imagery
E Vintrou, M Soumaré, S Bernard, A Bégué, C Baron, DL Seen
Photogrammetric engineering and remote sensing 78 (8), 839-848, 2012
262012
A random forest based approach for one class classification in medical imaging
C Désir, S Bernard, C Petitjean, L Heutte
Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012 …, 2012
262012
Towards a better understanding of random forests through the study of strength and correlation
S Bernard, L Heutte, S Adam
Emerging Intelligent Computing Technology and Applications. With Aspects of …, 2009
172009
A new random forest method for one-class classification
C Désir, S Bernard, C Petitjean, L Heutte
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2012
132012
Forêts aléatoires: de l'analyse des mécanismes de fonctionnement à la construction dynamique
S Bernard
Université de Rouen, 2009
122009
Dissimilarity-based representation for radiomics applications
H Cao, S Bernard, L Heutte, R Sabourin
First International Conference on Pattern Recognition and Artificial …, 2018
102018
A novel random forest dissimilarity measure for multi-view learning
H Cao, S Bernard, R Sabourin, L Heutte
2020 25th International Conference on Pattern Recognition (ICPR), 1344-1351, 2021
62021
ROC-based cost-sensitive classification with a reject option
C Dubos, S Bernard, S Adam, R Sabourin
2016 23rd International Conference on Pattern Recognition (ICPR), 3320-3325, 2016
42016
De la sélection d'arbres de décision dans les forêts aléatoires
L Heutte, S Bernard, S Adam, É Oliveira
10ème Colloque International Francophone sur l'Ecrit et le Document (CIFED …, 2008
42008
Dynamic voting in multi-view learning for radiomics applications
H Cao, S Bernard, L Heutte, R Sabourin
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2018
32018
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