Laurent HEUTTE 个人学术档案

引用次数

	总计	2019 年至今
引用	7831	4597
h 指数	34	20
i10 指数	84	35

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合著作者

Thierry PaquetUniversity of Rouen Normandy, LITIS在 univ-rouen.fr 的电子邮件经过验证
Caroline PetitjeanLITIS EA 4108, Université de Rouen, France在 univ-rouen.fr 的电子邮件经过验证
Simon BernardAssociate Professor (MCF), LITIS lab, Université Rouen Normandie, France在 univ-rouen.fr 的电子邮件经过验证
Stéphane NicolasMCF, LITIS, Université de Rouen在 univ-rouen.fr 的电子邮件经过验证
Luiz Eduardo S. OliveiraFederal University of Parana, Dept of Informatics在 ufpr.br 的电子邮件经过验证
Sébastien AdamProfessor, LITIS, University of Rouen在 univ-rouen.fr 的电子邮件经过验证
Clement ChatelainMaître de conférences, INSA Rouen, LITIS在 insa-rouen.fr 的电子邮件经过验证
Ameur BENSEFIAFaculty Member, Higher Colleges of Technology, UAE在 hct.ac.ae 的电子邮件经过验证
Fabio Alexandre SpanholUTFPR在 utfpr.edu.br 的电子邮件经过验证
Chesner desirResearch engineer, Diabeloop Grenoble, France在 diabeloop.fr 的电子邮件经过验证
Luc ThibervilleProfesseur des Université - Praticien Hospitalier在 univ-rouen.fr 的电子邮件经过验证
Robert SabourinProfessor emeritus @ École de technologie supérieure - LIVIA - REPARTI在 etsmtl.ca 的电子邮件经过验证
Hongliu(Leo) CAOAmadeus, Phd LIVIA, ETS, Canada & LITIS, France在 etsmtl.net 的电子邮件经过验证
Alceu de Souza Britto JrProfessor of Computer Science, Pontifical Catholic University of Parana在 ppgia.pucpr.br 的电子邮件经过验证
Utpal GarainIndian Statistical Institute在 isical.ac.in 的电子邮件经过验证
Paul HoneineProfessor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen Normandie在 univ-rouen.fr 的电子邮件经过验证
Adel M. AlimiREGIM Lab, ENIS, University of Sfax, Tunisia在 enis.tn 的电子邮件经过验证
Alessandro Lameiras KoerichÉTS Montréal - University of Québec, LIVIA, REPARTI在 etsmtl.ca 的电子邮件经过验证
Paulo CavalinIBM Research - Brazil在 br.ibm.com 的电子邮件经过验证
Huanhuan XuLouisiana State University在 lsu.edu 的电子邮件经过验证

关注

Laurent HEUTTE

Professor of Computer Science, LITIS lab, University of Rouen, France

在 univ-rouen.fr 的电子邮件经过验证 - 首页

pattern recognition machine learning random forests handwriting recognition document image analysis


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A dataset for breast cancer histopathological image classification FA Spanhol, LS Oliveira, C Petitjean, L Heutte Ieee transactions on biomedical engineering 63 (7), 1455-1462, 2015	1529	2015
Breast cancer histopathological image classification using convolutional neural networks FA Spanhol, LS Oliveira, C Petitjean, L Heutte 2016 international joint conference on neural networks (IJCNN), 2560-2567, 2016	1096	2016
Multiple instance learning for histopathological breast cancer image classification PJ Sudharshan, C Petitjean, F Spanhol, LE Oliveira, L Heutte, P Honeine Expert Systems with Applications 117, 103-111, 2019	402	2019
Deep features for breast cancer histopathological image classification FA Spanhol, LS Oliveira, PR Cavalin, C Petitjean, L Heutte 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017	363	2017
Classification of plant leaf images with complicated background XF Wang, DS Huang, JX Du, H Xu, L Heutte Applied mathematics and computation 205 (2), 916-926, 2008	345	2008
A writer identification and verification system A Bensefia, T Paquet, L Heutte Pattern Recognition Letters 26 (13), 2080-2092, 2005	283	2005
A structural/statistical feature based vector for handwritten character recognition L Heutte, T Paquet, JV Moreau, Y Lecourtier, C Olivier Pattern recognition letters 19 (7), 629-641, 1998	264	1998
Influence of hyperparameters on random forest accuracy S Bernard, L Heutte, S Adam Multiple Classifier Systems: 8th International Workshop, MCS 2009, Reykjavik …, 2009	225	2009
One class random forests C Désir, S Bernard, C Petitjean, L Heutte Pattern Recognition 46 (12), 3490-3506, 2013	197	2013
Dynamic random forests S Bernard, S Adam, L Heutte Pattern Recognition Letters 33 (12), 1580-1586, 2012	159	2012
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	153	2009
Using random forests for handwritten digit recognition S Bernard, S Adam, L Heutte Ninth international conference on document analysis and recognition (ICDAR …, 2007	134	2007
Writer identification by writer's invariants A Bensefia, A Nosary, T Paquet, L Heutte Proceedings Eighth International Workshop on Frontiers in Handwriting …, 2002	129	2002
Information Retrieval Based Writer Identification. A Bensefia, T Paquet, L Heutte ICDAR 946, 950, 2003	112	2003
Handwritten document analysis for automatic writer recognition A Bensefia, T Paquet, L Heutte ELCVIA Electronic Letters on Computer Vision and Image Analysis 5 (2), 72-86, 2005	87	2005
Text line segmentation in handwritten document using a production system S Nicolas, T Paquet, L Heutte Ninth international workshop on frontiers in handwriting recognition, 245-250, 2004	86	2004
Defining writer's invariants to adapt the recognition task A Nosary, L Heutte, T Paquet, Y Lecourtier Proceedings of the Fifth International Conference on Document Analysis and …, 1999	82	1999
Random forest dissimilarity based multi-view learning for radiomics application H Cao, S Bernard, R Sabourin, L Heutte Pattern Recognition 88, 185-197, 2019	77	2019
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	71	2018
Forest-RK: A new random forest induction method S Bernard, L Heutte, S Adam Advanced Intelligent Computing Theories and Applications. With Aspects of …, 2008	70	2008

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