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ORCIDLaurent Heutte
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- affiliation: University of Rouen, France
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2020 – today
- 2024
[j37]Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte:
Random forest kernel for high-dimension low sample size classification. Stat. Comput. 34(1): 9 (2024)- 2023
- [j36]Hugo Lerogeron, Romain Picot-Clémente, Alain Rakotomamonjy, Laurent Heutte:
Approximating dynamic time warping with a convolutional neural network on EEG data. Pattern Recognit. Lett. 171: 162-169 (2023) - [c76]Hugo Lerogeron, Romain Picot-Clémente, Laurent Heutte, Alain Rakotomamonjy:
Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW. INNS DLIA@IJCNN 2023: 448-457 - [i12]Hugo Lerogeron, Romain Picot-Clémente, Alain Rakotomamonjy, Laurent Heutte:
Approximating DTW with a convolutional neural network on EEG data. CoRR abs/2301.12873 (2023) - [i11]Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte:
Random Forest Dissimilarity for High-Dimension Low Sample Size Classification. CoRR abs/2310.14710 (2023) - 2022
- [c75]Zacarias Curi
, Stéphane Nicolas, Pierrick Tranouez, Alceu de Souza Britto Jr., Laurent Heutte:
Image Retrieval and Pattern Spotting on Historical Documents with Binary Descriptors. ICPR 2022: 3893-3899 - [c74]Caio da S. Dias, Alceu S. Britto Jr., Jean Paul Barddal, Laurent Heutte, Alessandro L. Koerich:
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing. SMC 2022: 2869-2875 - [i10]Caio da S. Dias, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte, Alessandro L. Koerich:
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing. CoRR abs/2208.02397 (2022) - 2021
- [c73]Lucca Portes Cavalheiro, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte:
Dynamically Selected Ensemble for Data Stream Classification. IJCNN 2021: 1-7 - 2020
- [j35]Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Improving pattern spotting in historical documents using feature pyramid networks. Pattern Recognit. Lett. 131: 398-404 (2020) - [c72]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. ICPR 2020: 1344-1351 - [i9]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. CoRR abs/2007.02572 (2020) - [i8]Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte:
Random Forest for Dissimilarity-based Multi-view Learning. CoRR abs/2007.08377 (2020) - [i7]Lucca Portes Cavalheiro, Jean Paul Barddal, Alceu de Souza Britto Jr., Laurent Heutte:
scikit-dyn2sel - A Dynamic Selection Framework for Data Streams. CoRR abs/2008.08920 (2020)
2010 – 2019
- 2019
- [j34]P. J. Sudharshan, Caroline Petitjean, Fabio A. Spanhol, Luiz Eduardo Soares de Oliveira, Laurent Heutte, Paul Honeine:
Multiple instance learning for histopathological breast cancer image classification. Expert Syst. Appl. 117: 103-111 (2019) - [j33]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
Random forest dissimilarity based multi-view learning for Radiomics application. Pattern Recognit. 88: 185-197 (2019) - [c71]Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Pattern Spotting in Historical Documents Using Convolutional Models. HIP@ICDAR 2019: 60-65 - [c70]Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz S. Oliveira:
Image Retrieval and Pattern Spotting using Siamese Neural Network. IJCNN 2019: 1-8 - [i6]Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Pattern Spotting in Historical Documents Using Convolutional Models. CoRR abs/1906.08580 (2019) - [i5]Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz S. Oliveira:
Image Retrieval and Pattern Spotting using Siamese Neural Network. CoRR abs/1906.09513 (2019) - [i4]Kelly Lais Wiggers, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich, Laurent Heutte, Luiz Eduardo Soares de Oliveira:
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents. CoRR abs/1907.09404 (2019) - 2018
- [c69]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images. ICIAR 2018: 779-787 - [c68]Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz Eduardo Soares de Oliveira:
Document Image Retrieval Using Deep Features. IJCNN 2018: 1-8 - [c67]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dynamic Voting in Multi-view Learning for Radiomics Applications. S+SSPR 2018: 32-41 - [i3]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dissimilarity-based representation for radiomics applications. CoRR abs/1803.04460 (2018) - [i2]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images. CoRR abs/1803.11241 (2018) - [i1]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dynamic voting in multi-view learning for radiomics applications. CoRR abs/1806.07686 (2018) - 2017
- [j32]Violeta Chang, Laurent Heutte, Caroline Petitjean, Steffen Härtel, Nancy Hitschfeld:
Automatic classification of human sperm head morphology. Comput. Biol. Medicine 84: 205-216 (2017) - [j31]Sovann En, Stéphane Nicolas, Caroline Petitjean, Frédéric Jurie, Laurent Heutte:
New public dataset for spotting patterns in medieval document images. J. Electronic Imaging 26(1): 11010 (2017) - [c66]Laurent Heutte:
Keynote 3: Random forests for biomedical data classification. ICSIPA 2017: ix - [c65]Fabio A. Spanhol, Luiz S. Oliveira, Paulo R. Cavalin, Caroline Petitjean, Laurent Heutte:
Deep features for breast cancer histopathological image classification. SMC 2017: 1868-1873 - 2016
- [j30]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte:
A scalable pattern spotting system for historical documents. Pattern Recognit. 54: 149-161 (2016) - [j29]Arturo Mendoza Quispe, Caroline Petitjean, Laurent Heutte:
Extreme learning machine for out-of-sample extension in Laplacian eigenmaps. Pattern Recognit. Lett. 74: 68-73 (2016) - [j28]Fabio A. Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte:
A Dataset for Breast Cancer Histopathological Image Classification. IEEE Trans. Biomed. Eng. 63(7): 1455-1462 (2016) - [c64]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie:
Region Proposal for Pattern Spotting in Historical Document Images. ICFHR 2016: 367-372 - [c63]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie:
Pattern localization in historical document images via template matching. ICPR 2016: 2054-2059 - [c62]Fabio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte:
Breast cancer histopathological image classification using Convolutional Neural Networks. IJCNN 2016: 2560-2567 - [p1]Laurent Heutte, Caroline Petitjean, Chesner Désir:
Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging. Handbook of Pattern Recognition and Computer Vision 2016: 89-107 - 2015
- [j27]Simon Thomas, Clément Chatelain, Laurent Heutte, Thierry Paquet, Yousri Kessentini:
A deep HMM model for multiple keywords spotting in handwritten documents. Pattern Anal. Appl. 18(4): 1003-1015 (2015) - [c61]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte:
Segmentation-free pattern spotting in historical document images. ICDAR 2015: 606-610 - [c60]Sovann En, Frédéric Jurie, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Linear Discriminant Analysis for Zero-shot Learning Image Retrieval. VISAPP (2) 2015: 70-77 - 2014
- [j26]Yiqing Liang, R. M. Guest, Michael C. Fairhurst, Laurent Heutte, Stéphane Nicolas, Alexandre Burnett, Thomas Palfray:
EMMEL: a framework for historical manuscript analysis and presentation. Univers. Access Inf. Soc. 13(2): 147-160 (2014) - 2013
- [j25]Simon Thomas, Clément Chatelain, Thierry Paquet, Laurent Heutte:
Un modèle neuro markovien profond pour l'extraction de séquences dans des documents manuscrits. Document Numérique 16(2): 49-68 (2013) - [j24]Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
One class random forests. Pattern Recognit. 46(12): 3490-3506 (2013) - [c59]Vladislavs Dovgalecs, Alexandre Burnett, Pierrick Tranouez, Stéphane Nicolas, Laurent Heutte:
Spot It! Finding Words and Patterns in Historical Documents. ICDAR 2013: 1039-1043 - 2012
- [j23]Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville, Mathieu Salaün:
An SVM-based distal lung image classification using texture descriptors. Comput. Medical Imaging Graph. 36(4): 264-270 (2012) - [j22]Thierry Paquet, Laurent Heutte, Guillaume Koch, Clément Chatelain:
A categorization system for handwritten documents. Int. J. Document Anal. Recognit. 15(4): 315-330 (2012) - [j21]Simon Bernard, Sébastien Adam, Laurent Heutte:
Dynamic Random Forests. Pattern Recognit. Lett. 33(12): 1580-1586 (2012) - [j20]Chesner Désir, Caroline Petitjean, Laurent Heutte, Mathieu Salaün, Luc Thiberville:
Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees. IEEE Trans. Biomed. Eng. 59(9): 2677-2683 (2012) - [c58]Pierrick Tranouez, Stéphane Nicolas, Vladislavs Dovgalecs, Alexandre Burnett, Laurent Heutte, Yiqing Liang, Richard M. Guest, Michael C. Fairhurst:
DocExplore: overcoming cultural and physical barriers to access ancient documents. ACM Symposium on Document Engineering 2012: 205-208 - [c57]David Hebert, Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville:
Detection of pathological condition in distal lung images. ISBI 2012: 1603-1606 - [c56]Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
A Random Forest Based Approach for One Class Classification in Medical Imaging. MLMI 2012: 250-257 - [c55]Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
A New Random Forest Method for One-Class Classification. SSPR/SPR 2012: 282-290 - 2011
- [j19]Florent Montreuil, Stéphane Nicolas, Laurent Heutte, Emmanuèle Grosicki:
Intégration d'informations textuelles de haut niveau en analyse de structures de documents manuscrits non contraints. Document Numérique 14(2): 77-101 (2011) - 2010
- [j18]Clément Chatelain, Sébastien Adam, Yves Lecourtier, Laurent Heutte, Thierry Paquet:
Noncost Sensitive SVM Training Using Multiple Model Selection. J. Circuits Syst. Comput. 19(1): 231-242 (2010) - [j17]Clément Chatelain, Sébastien Adam, Yves Lecourtier, Laurent Heutte, Thierry Paquet:
A multi-model selection framework for unknown and/or evolutive misclassification cost problems. Pattern Recognit. 43(3): 815-823 (2010) - [c54]Kamel Ait-Mohand, Laurent Heutte, Thierry Paquet, Nicolas Ragot:
Font adaptation of an HMM-based OCR system. DRR 2010: 75340J - [c53]Florent Montreuil, Stéphane Nicolas, Emmanuele Grosicki, Laurent Heutte:
A New Hierarchical Handwritten Document Layout Extraction Based on Conditional Random Field Modeling. ICFHR 2010: 31-36 - [c52]Simon Thomas, Clément Chatelain, Laurent Heutte, Thierry Paquet:
Alpha-Numerical Sequences Extraction in Handwritten Documents. ICFHR 2010: 232-237 - [c51]Simon Bernard, Laurent Heutte, Sébastien Adam:
A Study of Strength and Correlation in Random Forests. ICIC (3) 2010: 186-191 - [c50]Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville:
Using a Priori Knowledge to Classify in Vivo Images of the Lung. ICIC (2) 2010: 207-212 - [c49]Kamel Ait-Mohand, Thierry Paquet, Nicolas Ragot, Laurent Heutte:
Structure Adaptation of HMM Applied to OCR. ICPR 2010: 2877-2880 - [c48]Simon Thomas, Clément Chatelain, Laurent Heutte, Thierry Paquet:
An Information Extraction Model for Unconstrained Handwritten Documents. ICPR 2010: 3412-3415 - [e4]De-Shuang Huang, T. Martin McGinnity, Laurent Heutte, Xiao-Ping (Steven) Zhang:
Advanced Intelligent Computing Theories and Applications - 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings. Communications in Computer and Information Science 93, Springer 2010, ISBN 978-3-642-14830-9 [contents]
2000 – 2009
- 2009
- [c47]Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt:
A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes. IbPRIA 2009: 225-232 - [c46]Florent Montreuil, Emmanuele Grosicki, Laurent Heutte, Stéphane Nicolas:
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields. ICDAR 2009: 853-857 - [c45]Simon Bernard, Laurent Heutte, Sébastien Adam:
Towards a Better Understanding of Random Forests through the Study of Strength and Correlation. ICIC (2) 2009: 536-545 - [c44]Aurélien Saint-Réquier, Benoît Lelandais, Caroline Petitjean, Chesner Désir, Laurent Heutte, Mathieu Salaün, Luc Thiberville:
Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis. ICIC (1) 2009: 994-1003 - [c43]Simon Bernard, Laurent Heutte, Sébastien Adam:
On the selection of decision trees in Random Forests. IJCNN 2009: 302-307 - [c42]Simon Bernard, Laurent Heutte, Sébastien Adam:
Influence of Hyperparameters on Random Forest Accuracy. MCS 2009: 171-180 - [c41]Caroline Petitjean, Jonathan Benoist, Luc Thiberville, Mathieu Salaün, Laurent Heutte:
Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System. MVA 2009: 471-474 - [c40]Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt:
Automatic Extraction of Droppers in Catenary Scenes. MVA 2009: 497-500 - 2008
- [j16]Xiaofeng Wang, De-Shuang Huang, Ji-Xiang Du, Huan Xu, Laurent Heutte:
Classification of plant leaf images with complicated background. Appl. Math. Comput. 205(2): 916-926 (2008) - [j15]Wei Jia, Bin Ling, Kwok-Wing Chau, Laurent Heutte:
Palmprint identification using restricted fusion. Appl. Math. Comput. 205(2): 927-934 (2008) - [j14]Stephanie Glenat, Laurent Heutte, Thierry Paquet, Richard M. Guest, Michael C. Fairhurst, Tristan Linnell:
The Development of a Computer-Assisted Tool for the Assessment of Neuropsychological Drawing Tasks. Int. J. Inf. Technol. Decis. Mak. 7(4): 751-767 (2008) - [j13]Utpal Garain, Swapan K. Parui, Thierry Paquet, Laurent Heutte:
Machine dating of manuscripts written by an individual. J. Electronic Imaging 17(1): 011012 (2008) - [c39]Florent Montreuil, Régis Kouadio, Caroline Petitjean, Laurent Heutte, Vincent Delcourt:
Automatic extraction of information for catenary scene analysis. EUSIPCO 2008: 1-5 - [c38]Stéphane Nicolas, Laurent Heutte, Thierry Paquet:
Authorial manuscript image analysis using markovian models: the Bovary project. EUSIPCO 2008: 1-5 - [c37]Simon Bernard, Laurent Heutte, Sébastien Adam:
Forest-RK: A New Random Forest Induction Method. ICIC (2) 2008: 430-437 - 2007
- [j12]Alain Wiart, Thierry Paquet, Laurent Heutte:
Detection and recognition of erasures in on-line captured paper forms. Pattern Recognit. Lett. 28(10): 1263-1270 (2007) - [c36]Stéphane Nicolas, J. Dardenne, Thierry Paquet, Laurent Heutte:
Document Image Segmentation Using a 2D Conditional Random Field Model. ICDAR 2007: 407-411 - [c35]Clément Chatelain, Sébastien Adam, Yves Lecourtier, Laurent Heutte, Thierry Paquet:
Multi-Objective Optimization for SVM Model Selection. ICDAR 2007: 427-431 - [c34]Utpal Garain, Swapan K. Parui, Thierry Paquet, Laurent Heutte:
Machine Dating of Handwritten Manuscripts. ICDAR 2007: 759-763 - [c33]Simon Bernard, Sébastien Adam, Laurent Heutte:
Using Random Forests for Handwritten Digit Recognition. ICDAR 2007: 1043-1047 - [e3]De-Shuang Huang, Laurent Heutte, Marco Loog:
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings. Communications in Computer and Information Science 2, Springer 2007, ISBN 978-3-540-74281-4 [contents] - [e2]De-Shuang Huang, Laurent Heutte, Marco Loog:
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings. Lecture Notes in Computer Science 4681, Springer 2007, ISBN 978-3-540-74170-1 [contents] - [e1]De-Shuang Huang, Laurent Heutte, Marco Loog:
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings. Lecture Notes in Computer Science 4682, Springer 2007, ISBN 978-3-540-74201-2 [contents] - 2006
- [j11]Utpal Garain, Thierry Paquet, Laurent Heutte:
On foreground - background separation in low quality document images. Int. J. Document Anal. Recognit. 8(1): 47-63 (2006) - [c32]Clément Chatelain, Laurent Heutte, Thierry Paquet:
Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents. Document Analysis Systems 2006: 564-575 - [c31]Stéphane Nicolas, Thierry Paquet, Laurent Heutte:
Complex Handwritten Page Segmentation Using Contextual Models. DIAL 2006: 46-59 - [c30]Clément Chatelain, Laurent Heutte, Thierry Paquet:
Extraction automatique de champs numériques dans des documents manuscrits. EGC 2006: 23-34 - [c29]Héla Zouari, Laurent Heutte, Yves Lecourtier:
Experimental Comparison of Combination Rules using Simulated Data. ICPR (3) 2006: 152-155 - [c28]Clément Chatelain, Laurent Heutte, Thierry Paquet:
A two-stage outlier rejection strategy for numerical field extraction in handwritten documents. ICPR (3) 2006: 224-227 - [c27]Stéphane Nicolas, Thierry Paquet, Laurent Heutte:
A Markovian Approach for Handwritten Document Segmentation. ICPR (3) 2006: 292-295 - 2005
- [j10]Héla Zouari, Laurent Heutte, Yves Lecourtier:
Controlling the diversity in classifier ensembles through a measure of agreement. Pattern Recognit. 38(11): 2195-2199 (2005) - [j9]Guillaume Koch, Laurent Heutte, Thierry Paquet:
Automatic extraction of numerical sequences in handwritten incoming mail documents. Pattern Recognit. Lett. 26(8): 1118-1127 (2005) - [j8]Ameur Bensefia, Thierry Paquet, Laurent Heutte:
A writer identification and verification system. Pattern Recognit. Lett. 26(13): 2080-2092 (2005) - [c26]Héla Zouari, Laurent Heutte, Yves Lecourtier:
Using Diversity Measure in Building Classifier Ensembles for Combination Method Analysis. CORES 2005: 337-344 - [c25]Stéphane Nicolas, Yousri Kessentini, Thierry Paquet, Laurent Heutte:
Handwritten Document Segmentation Using Hidden Markov Random Fields. ICDAR 2005: 212-216 - [c24]Utpal Garain, Thierry Paquet, Laurent Heutte:
On Foreground-Background Separation in Low Quality Color Document Images. ICDAR 2005: 585-589 - 2004
- [j7]Iyad Zaarour, Laurent Heutte, Philippe Leray, Jacques Labiche, Bassam Eter, Daniel Mellier:
Clustering And Bayesian Network Approaches For Discovering Handwriting Strategies Of Primary School Children. Int. J. Pattern Recognit. Artif. Intell. 18(7): 1233-1251 (2004) - [j6]Ali Nosary, Laurent Heutte, Thierry Paquet:
Unsupervised writer adaptation applied to handwritten text recognition. Pattern Recognit. 37(2): 385-388 (2004) - [j5]Laurent Heutte, Ali Nosary, Thierry Paquet:
A multiple agent architecture for handwritten text recognition. Pattern Recognit. 37(4): 665-674 (2004) - [c23]Stéphane Nicolas, Thierry Paquet, Laurent Heutte:
Enriching Historical Manuscripts: The Bovary Project. Document Analysis Systems 2004: 135-146 - [c22]Clément Chatelain, Laurent Heutte, Thierry Paquet:
A syntax-directed method for numerical field extraction using classifier combination. IWFHR 2004: 93-98 - [c21]Ameur Bensefia, Thierry Paquet, Laurent Heutte:
Handwriting analysis for writer verification. IWFHR 2004: 196-201 - [c20]Stéphane Nicolas, Thierry Paquet, Laurent Heutte:
Text line segmentation in handwritten document using a production system. IWFHR 2004: 245-250 - [c19]Guillaume Koch, Thierry Paquet, Laurent Heutte:
Combination of contextual information for handwritten word recognition. IWFHR 2004: 468-473 - [c18]Héla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi:
Simulating Classifier Ensembles of Fixed Diversity for Studying Plurality Voting Performance. ICPR (1) 2004: 232-235 - [c17]Héla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi:
Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers. Multiple Classifier Systems 2004: 273-282 - [c16]Héla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi:
Generating Classifier Outputs with Fixed Diversity for Evaluating Voting Methods. SSPR/SPR 2004: 1001-1009 - 2003
- [j4]Ameur Bensefia, Thierry Paquet, Laurent Heutte:
Documents manuscrits et recherche d'information. Document Numérique 7(3-4): 47-60 (2003) - [c15]Stéphane Nicolas, Thierry Paquet, Laurent Heutte:
Digitizing cultural heritage manuscripts: the Bovary project. ACM Symposium on Document Engineering 2003: 55-57 - [c14]Héla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi:
A New Classifier Simulator for Evaluating Parallel Combination Methods. ICDAR 2003: 26-30 - [c13]Guillaume Koch, Laurent Heutte, Thierry Paquet:
Numerical Sequence Extraction in Handwritten Incoming Mail Documents. ICDAR 2003: 369-373 - [c12]Ameur Bensefia, Thierry Paquet, Laurent Heutte:
Information Retrieval Based Writer Identification. ICDAR 2003: 946-950 - [c11]Héla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi:
Simulating Classifier Outputs for Evaluating Parallel Combination Methods. Multiple Classifier Systems 2003: 296-305 - [c10]Ameur Bensefia, Thierry Paquet, Laurent Heutte:
Information Retrieval Based Writer Identification. PRIS 2003: 56-63 - [c9]Guillaume Koch, Laurent Heutte, Thierry Paquet:
Numerical Field Extraction in Handwritten Incoming Mail Documents. PRIS 2003: 167-172 - 2002
- [c8]Ameur Bensefia, Ali Nosary, Thierry Paquet, Laurent Heutte:
Writer identification by writer's invariants. IWFHR 2002: 274-279 - [c7]Ali Nosary, Thierry Paquet, Laurent Heutte, Ameur Bensefia:
Handwritten text recognition through writer adaptation. IWFHR 2002: 363-368 - 2001
- [j3]Paulo Barbosa-Pereira, Laurent Heutte, Yves Lecourtier:
Source-to-Source Instrumentation for the Optimization of an Automatic Reading System. J. Supercomput. 18(1): 89-104 (2001)
1990 – 1999
- 1999
- [c6]Ali Nosary, Laurent Heutte, Thierry Paquet, Yves Lecourtier:
Defining Writer's Invariants to Adapt the Recognition Task. ICDAR 1999: 765-768 - 1998
- [j2]Laurent Heutte, Thierry Paquet, Jean-Vincent Moreau, Yves Lecourtier, Christian Olivier:
A structural/statistical feature based vector for handwritten character recognition. Pattern Recognit. Lett. 19(7): 629-641 (1998) - 1997
- [j1]Laurent Heutte, Paulo Barbosa-Pereira, Olivier Bougeois, Jean-Vincent Moreau, Brigitte Plessis, Pierre Courtellemont, Yves Lecourtier:
Multi-Bank Check Recognition System: Consideration on The Numeral Amount Recognition Module. Int. J. Pattern Recognit. Artif. Intell. 11(4): 595-618 (1997) - 1996
- [c5]Paulo Barbosa-Pereira, Laurent Heutte, Olivier Bougeois, Jean-Vincent Moreau, Brigitte Plessis, Pierre Courtellemont, Yves Lecourtier:
Numeral amount recognition on multi-bank cheques. ICPR 1996: 165-169 - [c4]Laurent Heutte, Jean-Vincent Moreau, Thierry Paquet, Yves Lecourtier, Christian Olivier:
Combining structural and statistical features for the recognition of handwritten characters. ICPR 1996: 210-214 - 1993
- [c3]Laurent Heutte, Jean-Vincent Moreau, Brigitte Plessis, Jean Luc Plagnaud, Yves Lecourtier:
Handwritten numeral recognition based on multiple feature extractors. ICDAR 1993: 167-170 - [c2]Brigitte Plessis, Anne Sicsu, Laurent Heutte, Eric Menu, Eric Lecolinet, Olivier Debon, Jean-Vincent Moreau:
A multi-classifier combination strategy for the recognition of handwritten cursive words. ICDAR 1993: 642-645 - 1992
- [c1]Laurent Heutte, Jean-Marc Ogier, Yves Lecourtier, Christian Olivier:
Two aspects of automatic map treatment: road and texture extractions. ICPR (3) 1992: 109-112
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-07 20:34 CET by the dblp team
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