Personal information

Machine Learning, Supervised Learning, Classification, Random Forest

Activities

Employment (1)

University of Rouen: Rouen, FR

2013-09-01 to present | Associate Professor (Maître de Conférence)
Employment
Source: Self-asserted source
Simon Bernard

Education and qualifications (2)

University of Rouen: Rouen, FR

2006-09-01 to 2009-12-02 | Ph.D. degree in Computer Science
Education
Source: Self-asserted source
Simon Bernard

University of La Rochelle: La Rochelle, FR

2004-09-01 to 2006-06-30 | M. Sc. degree in Computer Science and Applied Mathematics
Education
Source: Self-asserted source
Simon Bernard

Works (43)

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

IEEE Access
2024 | Journal article
Contributors: Usman Malik; Simon Bernard; Alexandre Pauchet; Clément Chatelain; Romain Picot-Clémente; Jérôme Cortinovis
Source: check_circle
Crossref

Domain Translation via Latent Space Mapping

arXiv
2022 | Other
EID:

2-s2.0-85144745432

Part of ISSN: 23318422
Contributors: Mayet, T.; Bernard, S.; Chatelain, C.; Herault, R.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

A novel random forest dissimilarity measure for multi-view learning

Proceedings - International Conference on Pattern Recognition
2020 | Conference paper
EID:

2-s2.0-85110430991

Part of ISSN: 10514651
Contributors: Cao, H.; Bernard, S.; Sabourin, R.; Heutte, L.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

A Novel Random Forest Dissimilarity Measure for Multi-View Learning

arXiv
2020 | Other
EID:

2-s2.0-85095271537

Part of ISSN: 23318422
Contributors: Cao, H.; Bernard, S.; Sabourin, R.; Heutte, L.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Random Forest for Dissimilarity-based Multi-view Learning

arXiv
2020 | Other
EID:

2-s2.0-85095289902

Part of ISSN: 23318422
Contributors: Bernard, S.; Cao, H.; Sabourin, R.; Heutte, L.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Random Forest For Dissimilarity-Based Multi-View Learning

Handbook of Pattern Recognition and Computer Vision (6th Edition)
2020 | Book chapter
EID:

2-s2.0-85128018461

Contributors: Bernard, S.; Cao, H.; Sabourin, R.; Heutte, L.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Random forest dissimilarity based multi-view learning for Radiomics application

Pattern Recognition
2019-04 | Journal article
Contributors: Hongliu Cao; Simon Bernard; Robert Sabourin; Laurent Heutte
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Dissimilarity-based representation for radiomics applications

arXiv
2018 | Other
EID:

2-s2.0-85094505661

Part of ISSN: 23318422
Contributors: Cao, H.; Bernard, S.; Heutte, L.; Sabourin, R.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Dynamic voting in multi-view learning for radiomics applications

arXiv
2018 | Other
EID:

2-s2.0-85093790139

Part of ISSN: 23318422
Contributors: Cao, H.; Bernard, S.; Heutte, L.; Sabourin, R.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Dynamic voting in multi-view learning for radiomics applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | Book
EID:

2-s2.0-85052214031

Part of ISSN: 16113349 03029743
Contributors: Cao, H.; Bernard, S.; Heutte, L.; Sabourin, R.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images

arXiv
2018 | Other
EID:

2-s2.0-85093001582

Part of ISSN: 23318422
Contributors: Cao, H.; Bernard, S.; Heutte, L.; Sabourin, R.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | Book
EID:

2-s2.0-85049452940

Part of ISSN: 16113349 03029743
Contributors: Cao, H.; Bernard, S.; Heutte, L.; Sabourin, R.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

ROC-based cost-sensitive classification with a reject option

Proceedings - International Conference on Pattern Recognition
2016 | Conference paper
EID:

2-s2.0-85019062896

Part of ISSN: 10514651
Contributors: Dubos, C.; Bernard, S.; Adam, S.; Sabourin, R.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

ROC-based cost-sensitive classification with a reject option

Pattern Recognition (ICPR), 2016 23rd International Conference on
2016 | Conference paper
Source: Self-asserted source
Simon Bernard

The Multiclass ROC Front method for cost-sensitive classification

Pattern Recognition
2016 | Journal article
Source: Self-asserted source
Simon Bernard

The Multiclass ROC Front method for cost-sensitive classification

Pattern Recognition
2016-04 | Journal article
Contributors: Simon Bernard; Clément Chatelain; Sébastien Adam; Robert Sabourin
Source: check_circle
Crossref

Apprentissage multiclasse en environnement incertain

2014 | Journal article
Source: Self-asserted source
Simon Bernard

One class random forests

Pattern Recognition
2013 | Journal article
EID:

2-s2.0-84881077165

Part of ISSN: 00313203
Contributors: Désir, C.; Bernard, S.; Petitjean, C.; Heutte, L.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

One class random forests

Pattern Recognition
2013 | Journal article
Source: Self-asserted source
Simon Bernard

A new random forest method for one-class classification

Structural, Syntactic, and Statistical Pattern Recognition
2012 | Journal article
Source: Self-asserted source
Simon Bernard

A new random forest method for one-class classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012 | Book
EID:

2-s2.0-84868134628

Part of ISSN: 03029743 16113349
Contributors: Désir, C.; Bernard, S.; Petitjean, C.; Heutte, L.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

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

Machine Learning in Medical Imaging
2012 | Journal article
Source: Self-asserted source
Simon Bernard

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012 | Book
EID:

2-s2.0-84870021480

Part of ISSN: 03029743 16113349
Contributors: Désir, C.; Bernard, S.; Petitjean, C.; Heutte, L.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Dynamic random forests

Pattern Recognition Letters
2012 | Journal article
Source: Self-asserted source
Simon Bernard

Dynamic Random Forests

Pattern Recognition Letters
2012 | Journal article
EID:

2-s2.0-84862295459

Part of ISSN: 01678655
Contributors: Bernard, S.; Adam, S.; Heutte, L.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Mapping fragmented agricultural systems in the sudano-sahelian environments of Africa using random forest and ensemble metrics of coarse resolution MODIS imagery

Photogrammetric Engineering and Remote Sensing
2012 | Journal article
EID:

2-s2.0-84868032636

Part of ISSN: 00991112
Contributors: Vintrou, E.; Soumaré, M.; Bernard, S.; Bégué, A.; Baron, C.; Lo Seen, D.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Mapping fragmented agricultural systems in the Sudano-Sahelian environments of Africa using random forest and ensemble metrics of coarse resolution MODIS imagery

Photogrammetric Engineering & Remote Sensing
2012 | Journal article
Source: Self-asserted source
Simon Bernard

A study of strength and correlation in random forests

International Conference on Intelligent Computing
2010 | Conference paper
Source: Self-asserted source
Simon Bernard

A study of strength and correlation in random forests

Communications in Computer and Information Science
2010 | Book
EID:

2-s2.0-77956995748

Part of ISSN: 18650929
Contributors: Bernard, S.; Heutte, L.; Adam, S.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

For̂ets Aléatoires: De l'Analyse des Mécanismes de Fonctionnement à la Construction Dynamique

2009 | Dissertation or Thesis
Source: Self-asserted source
Simon Bernard

Influence of hyperparameters on random forest accuracy

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009 | Book
EID:

2-s2.0-70349325846

Part of ISSN: 03029743 16113349
Contributors: Bernard, S.; Heutte, L.; Adam, S.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Influence of Hyperparameters on Random Forest Accuracy.

8th International Workshop on Multiple Classifier Systems
2009 | Conference paper
Source: Self-asserted source
Simon Bernard

On the selection of decision trees in random forests

Neural Networks, 2009. IJCNN 2009. International Joint Conference on
2009 | Conference paper
Source: Self-asserted source
Simon Bernard

On the selection of decision trees in Random forests

Proceedings of the International Joint Conference on Neural Networks
2009 | Conference paper
EID:

2-s2.0-70449422000

Contributors: Bernard, S.; Heutte, L.; Adam, S.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Towards a better understanding of random forests through the study of strength and correlation

International Conference on Intelligent Computing
2009 | Conference paper
Source: Self-asserted source
Simon Bernard

Towards a better understanding of random forests through the study of strength and correlation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009 | Book
EID:

2-s2.0-70350426730

Part of ISSN: 03029743 16113349
Contributors: Bernard, S.; Heutte, L.; Adam, S.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Une Étude sur la Paramétrisation des For̂ets Aléatoires

XI ème Conférence francophone sur l'Apprentissage Artificiel
2009 | Conference paper
Source: Self-asserted source
Simon Bernard

De la sélection d'arbres de décision dans les for̂ets aléatoires

Colloque International Francophone sur l'Ecrit et le Document
2008 | Conference paper
Source: Self-asserted source
Simon Bernard

Etude de l'influence des paramètres sur les performances des For̂ets Aléatoires

Colloque International Francophone sur l'Ecrit et le Document
2008 | Conference paper
Source: Self-asserted source
Simon Bernard

Forest-rk: A new random forest induction method

International Conference on Intelligent Computing
2008 | Conference paper
Source: Self-asserted source
Simon Bernard

Forest-RK: A new random forest induction method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2008 | Book
EID:

2-s2.0-53049101306

Part of ISSN: 03029743 16113349
Contributors: Bernard, S.; Heutte, L.; Adam, S.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Using random forests for handwritten digit recognition

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
2007 | Conference paper
EID:

2-s2.0-51149110955

Part of ISSN: 15205363
Contributors: Bernard, S.; Heutte, L.; Adam, S.
Source: Self-asserted source
Simon Bernard via Scopus - Elsevier

Using random forests for handwritten digit recognition

Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
2007 | Conference paper
Source: Self-asserted source
Simon Bernard