Simon Bernard

84%
Libre accès
31
Documents
Affiliations actuelles
  • Equipe Apprentissage (LITIS - DocApp)
  • Université de Rouen Normandie (UNIROUEN)
  • Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes (LITIS)
Identifiants chercheurs
Contact

Présentation

I am an associate professor (Maître de Conférence) at the University of Rouen Normandy, and a member of the Machine Learning team of the LITIS lab. (UR 4108). I am also a member of the Data, Learning, Knowledge group in the CNRS Research Federation NormaSTIC (FR 3638).

My research focuses on machine learning, and more specifically on ensemble learning and deep learning methods. In recent years, my work has focused mainly on multi-view/multimodal learning and outlier/anomaly detection. Recently, I've also taken a keen interest in machine learning for physics, with operator learning methods and/or physic-informed learning methods.

I teach computer science and machine learning at the Faculty of Science et Techniques of the University of Rouen Normandy, to bachelor and master students. Today, I mostly teach machine learning and web programming to students of the Data Science master's program.

Domaines de recherche

Apprentissage [cs.LG]

Publications

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Publications

Image document

Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation

Tsiry Mayet , Simon Bernard , Romain Hérault , Clément Chatelain
Transactions on Machine Learning Research Journal, 2025
Article dans une revue hal-05273704 v1

Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets

Muhammad Usman Malik , Simon Bernard , Alexandre Pauchet , Clément Chatelain , Romain Picot-Clémente et al.
IEEE Access, 2024, 12, pp.15902-15916. ⟨10.1109/ACCESS.2024.3354705⟩
Article dans une revue hal-05273651 v1
Image document

Random forest kernel for high-dimension low sample size classification

Lucca Portes Cavalheiro , Simon Bernard , Jean Paul Barddal , Laurent Heutte
Statistics and Computing, 2024, 34 (1), pp.9. ⟨10.1007/s11222-023-10309-0⟩
Article dans une revue hal-04253909 v1
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Assessment of elastic coefficients of child cortical bone using resonant ultrasound spectroscopy

Marie Semaan , Pierric Mora , Simon Bernard , Franck Launay , Cedric Payan et al.
Journal of the mechanical behavior of biomedical materials, 2019, 90, pp.40 - 44. ⟨10.1016/j.jmbbm.2018.09.044⟩
Article dans une revue hal-01900136 v1

Random forest dissimilarity based multi-view learning for Radiomics application

Hongliu Cao , Simon Bernard , Robert Sabourin , Laurent Heutte
Pattern Recognition, 2019, 88, pp.185-197. ⟨10.1016/j.patcog.2018.11.011⟩
Article dans une revue hal-02075715 v1
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The Multiclass ROC Front method for cost-sensitive classification

Simon Bernard , Clément Chatelain , Sébastien Adam , Robert Sabourin
Pattern Recognition, 2016, ⟨10.1016/j.patcog.2015.10.010⟩
Article dans une revue hal-01338007 v1
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One class random forests

Chesner Désir , Simon Bernard , Caroline Petitjean , Heutte Laurent
Pattern Recognition, 2013, 46 (12), pp.3490-3506. ⟨10.1016/j.patcog.2013.05.022⟩
Article dans une revue hal-00862706 v1

Mapping Fragmented Agricultural Systems in the Sudano-Sahelian Environments of Africa Using Random Forest and Ensemble Metrics of Coarse Resolution MODIS Imagery

Elodie Vintrou , Mamy Soumaré , Simon Bernard , Agnès Bégué , Christian Baron et al.
Photogrammetric engineering and remote sensing, 2012, 78 (8), pp.839-848. ⟨10.14358/PERS.78.8.839⟩
Article dans une revue hal-02111056 v1
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Dynamic Random Forests

Simon Bernard , Sébastien Adam , Laurent Heutte
Pattern Recognition Letters, 2012, 33 (12), pp.1580-1586. ⟨10.1016/j.patrec.2012.04.003⟩
Article dans une revue hal-00710083 v1

TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning

Tsiry Mayet , Pourya Shamsolmoali , Simon Bernard , Eric Granger , Romain Hérault et al.
International Conference on Learning Representations (ICLR), 2025, Singapour, France. ⟨10.48550/arXiv.2410.09306⟩
Communication dans un congrès hal-05273670 v1
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Domain Translation via Latent Space Mapping

Tsiry Mayet , Simon Bernard , Clement Chatelain , Romain Hérault
2023 International Joint Conference on Neural Networks (IJCNN), Jun 2023, Gold Coast, Australia. pp.1-10, ⟨10.1109/IJCNN54540.2023.10191215⟩
Communication dans un congrès hal-04461418 v1
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A Novel Random Forest Dissimilarity Measure for Multi-View Learning

Hongliu Cao , Simon Bernard , Robert Sabourin , Laurent Heutte
2020 25th International Conference on Pattern Recognition (ICPR), Jan 2021, Milan, France. pp.1344-1351, ⟨10.1109/ICPR48806.2021.9412961⟩
Communication dans un congrès hal-05311089 v1

Dissimilarity-based Representation for Radiomics Applications

Hongliu Cao , Simon Bernard , Laurent Heutte , Robert Sabourin
First International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI'2018), May 2018, Montréal, Canada. pp.53--58
Communication dans un congrès hal-02111139 v1
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Dynamic Voting in Multi-view Learning for Radiomics Applications

Hongliu Cao , Simon Bernard , Laurent Heutte , Robert Sabourin
IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition (SPR 2018) and Structural and Syntactic Pattern Recogntion (SSPR 2018), S+SSPR, Aug 2018, Beijing, China. pp.32-41, ⟨10.1007/978-3-319-97785-0_4⟩
Communication dans un congrès hal-02088181 v1

Pondération dynamique en apprentissage multi-vues pour des applications radiomics

Hongliu Cao , Simon Bernard , Robert Sabourin , Laurent Heutte
Conférence sur l’apprentissage automatique (CAp), Jun 2018, Rouen, France
Communication dans un congrès hal-02114995 v1
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Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images

Hongliu Cao , Simon Bernard , Laurent Heutte , Robert Sabourin
International Conference Image Analysis and Recognition (ICIAR), Jun 2018, Póvoa de Varzim, Portugal. pp.779-787, ⟨10.1007/978-3-319-93000-8_88⟩
Communication dans un congrès hal-02088167 v1
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ROC-based cost-sensitive classification with a reject option

Clément Dubos , Simon Bernard , Sébastien Adam , Robert Sabourin
23rd IEEE International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, Mexico. ⟨10.1109/ICPR.2016.7900146⟩
Communication dans un congrès hal-02088187 v1
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Apprentissage multiclasse en environnement incertain

Simon Bernard , Clément Chatelain , Sébastien Adam , Robert Sabourin
Société Francophone de Classification, Sep 2014, Rabat, Maroc
Communication dans un congrès hal-02088209 v1

A new random forest method for one class classification

Chesner Désir , Simon Bernard , Caroline Petitjean , Laurent Heutte
Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), Nov 2012, Hiroshima, Japan. pp.282-290
Communication dans un congrès hal-00794153 v1

A random forest based approach for one class classification in medical imaging

Chesner Désir , Simon Bernard , Caroline Petitjean , Laurent Heutte
3rd MICCAI International Workshop on Machine Learning in Medical Imaging (MLMI), 2012, Nice, France. pp.250-257
Communication dans un congrès hal-00794160 v1
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A Study of Strength and Correlation in Random Forests

Simon Bernard , Laurent Heutte , Sébastien Adam
International Conference on Intelligent Computing, Aug 2010, Changsha, China. pp.186-191, ⟨10.1007/978-3-642-14831-6_25⟩
Communication dans un congrès hal-00598466 v1
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Towards a better understanding of random forests through the study of strength and correlation

Simon Bernard , Laurent Heutte , Sébastien Adam
5th International Conference on Intelligent Computing (ICIC), Sep 2009, Ulsan, South Korea. pp.536-545, ⟨10.1007/978-3-642-04020-7_57⟩
Communication dans un congrès hal-00436361 v1
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Une étude sur la paramétrisation des Forêts Aléatoires

Simon Bernard , Laurent Heutte , Sébastien Adam
11ème Conférence francophone sur l'Apprentissage Artificiel (CAp), May 2009, Hammamet, Tunisie. pp.81-92
Communication dans un congrès hal-00436365 v1
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Influence of Hyperparameters on Random Forest Accuracy

Simon Bernard , Laurent Heutte , Sébastien Adam
International Workshop on Multiple Classifier Systems (MCS), Jun 2009, Reykjavik, Iceland. pp.171-180, ⟨10.1007/978-3-642-02326-2_18⟩
Communication dans un congrès hal-00436358 v1
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On the selection of decision trees in Random Forests

Simon Bernard , Laurent Heutte , Sébastien Adam
IEEE International Joint Conference on Neural Networks (IJCNN), Jun 2008, Atlanta, United States. pp.302-307, ⟨10.1109/IJCNN.2009.5178693⟩
Communication dans un congrès hal-00436355 v1
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Forest-RK: A New Random Forest Induction Method

Simon Bernard , Laurent Heutte , Sébastien Adam
4th International Conference on Intelligent Computing (ICIC), Sep 2008, Shanghai, China. pp.430-437, ⟨10.1007/978-3-540-85984-0_52⟩
Communication dans un congrès hal-00436367 v1
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Etude de l'influence des paramètres sur les performances des forêts aléatoires

Simon Bernard , Laurent Heutte , Sébastien Adam
10ème Colloque International Francophone sur l'Ecrit et le Document (CIFED), Oct 2008, Rouen, France. pp.207-208
Communication dans un congrès hal-00334425 v1
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De la sélection d'arbres de décision dans les forêts aléatoires

Laurent Heutte , Simon Bernard , Sébastien Adam , Émilie Oliveira
10ème Colloque International Francophone sur l'Ecrit et le Document (CIFED), Oct 2008, Rouen, France. pp.163-168
Communication dans un congrès hal-00334413 v1
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Using Random Forests for Handwritten Digit Recognition

Simon Bernard , Laurent Heutte , Sébastien Adam
9th IAPR/IEEE International Conference on Document Analysis and Recognition (ICDAR), Sep 2007, Curitiba, Brazil. pp.1043-1047, ⟨10.1109/ICDAR.2007.4377074⟩
Communication dans un congrès hal-00436372 v1
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Random Forest for Dissimilarity-based Multi-view Learning

Simon Bernard , Hongliu Cao , Robert Sabourin , Laurent Heutte
Handbook of Pattern Recognition and Computer Vision, 6, World Scientific, pp.119-138, 2020, ⟨10.1142/9789811211072_0007⟩
Chapitre d'ouvrage hal-02892363 v1