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Laurent HEUTTE
Laurent HEUTTE
Professor of Computer Science, LITIS lab, University of Rouen, France
Zweryfikowany adres z univ-rouen.fr - Strona główna
Tytuł
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Cytowane przez
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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
16342015
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
11312016
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
4172019
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
3752017
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
3512008
A writer identification and verification system
A Bensefia, T Paquet, L Heutte
Pattern Recognition Letters 26 (13), 2080-2092, 2005
2842005
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
2651998
Influence of hyperparameters on random forest accuracy
S Bernard, L Heutte, S Adam
Multiple Classifier Systems: 8th International Workshop, MCS 2009, Reykjavik …, 2009
2342009
One class random forests
C Désir, S Bernard, C Petitjean, L Heutte
Pattern Recognition 46 (12), 3490-3506, 2013
2052013
Dynamic random forests
S Bernard, S Adam, L Heutte
Pattern Recognition Letters 33 (12), 1580-1586, 2012
1682012
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
1622009
Using random forests for handwritten digit recognition
S Bernard, S Adam, L Heutte
Ninth international conference on document analysis and recognition (ICDAR …, 2007
1352007
Writer identification by writer's invariants
A Bensefia, A Nosary, T Paquet, L Heutte
Proceedings Eighth International Workshop on Frontiers in Handwriting …, 2002
1302002
Information Retrieval Based Writer Identification.
A Bensefia, T Paquet, L Heutte
ICDAR 946, 950, 2003
1132003
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
872005
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
872004
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
821999
Random forest dissimilarity based multi-view learning for radiomics application
H Cao, S Bernard, R Sabourin, L Heutte
Pattern Recognition 88, 185-197, 2019
772019
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
762018
Forest-RK: A new random forest induction method
S Bernard, L Heutte, S Adam
Advanced Intelligent Computing Theories and Applications. With Aspects of …, 2008
702008
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