Publications

Publications in referred journals

  1. L. Portes Cavalheiroa, S. Bernard, J.P. Barddal, L. Heutte. Random Forest Kernel for High-Dimension Low Sample Size Classification. Accepted for publication in Statistics and Computing, 2023.
  2. H. Lerogeron, R. Picot-Clémente, A. Rakotomamonjy, L. Heutte. Approximating Dynamic Time Warping with a convolutional neural network on EEG data. Pattern Recognition Letters, vol. 171, pp. 162-169, 2023.
  3. I. Ubeda, J. Saavedra, S. Nicolas, C. Petitjean, L. Heutte. Improving pattern spotting in historical documents using feature pyramid networks. Pattern Recognition Letters, vol. 131, pp. 398-404, 2020.
  4. H. Cao, S. Bernard, R. Sabourin, L. Heutte. Random forest dissimilarity based multi-view learning for radiomics application. Pattern Recognition, vol. 88, pp. 185-197, 2019.
  5. P.J. Sudharshan, C. Petitjean, F. Spanhol, L. Oliveira, L. Heutte, P. Honeine. Multiple instance learning for histopathological breast cancer image classification. Expert Systems With Applications, vol. 117, pp. 103-111, 2019.
  6. V. Chang, L. Heutte, C. Petitjean, S. Härtel, N. Hitschfeld. Automatic classification of human sperm head morphology. Computers in Biology and Medicine, vol. 84, pp. 205-216, 2017.
  7. S. En, S. Nicolas, C. Petitjean, F. Jurie, L. Heutte. New public dataset for spotting patterns in medieval document images. Journal of Electronic Imaging, vol. 26, no. 1, 2017. 
  8. A. Mendoza Quispe, C. Petitjean, L. Heutte. Extreme learning machine for out-of-sample extension in laplacian eigenmaps. Pattern Recognition Letters, vol. 74, pp. 68-73, 2016.
  9. S. En, C. Petitjean, S. Nicolas, L. Heutte. A scalable pattern spotting system for historical documents. Pattern Recognition, vol. 54, pp. 149-161, 2016.
  10. F. Spanhol, L. Oliveira, C. Petitjean, L. Heutte. A dataset for breast cancar histopathological image classification. IEEE Trans. on Biomedical Engineering, vol. 63, no. 7, pp. 1455-1462, 2016. 
  11. S. Thomas, C. Chatelain, L. Heutte, T. Paquet, Y. Kessentini. A deep HMM model for multiple keywords spotting in handwritten documents. Pattern Analysis and Applications, vol. 18, no. 4, pp. 1003-1015, 2015.
  12. Y. Liang, R.M. Guest, M.C. Fairhurst, L. Heutte, S. Nicolas, A. Burnett, T. Palfray. EMMEL: A framework for historical manuscript analysis and presentation. Universal Access in the Information Society, vol. 13, no. 2, pp. 147-160, 2014.
  13. S. Thomas, C. Chatelain, T. Paquet, L. Heutte. Un modèle neuro markovien pour l’extraction de séquences dans des documents manuscrits. Document Numérique, Hermès, vol. 16, no. 2, pp. 49-68, 2013.
  14. C. Désir, S. Bernard, C. Petitjean, L. Heutte. One Class Random Forests. Pattern Recognition, vol. 46, no. 12, pp. 3490-3506, 2013.
  15. T. Paquet, L. Heutte, G. Koch, C. Chatelain. A categorization system for handwritten documents. International Journal of Document Analysis and Recognition, vol. 15, no. 4, pp. 315-330, 2012.
  16. C. Désir, C. Petitjean, L. Heutte, M. Salaün, L. Thiberville. Classification of endomicroscopic images of the lung based on random subwindows and extra-trees. IEEE Transactions on Biomedical Engineering, vol. 59, no. 9, pp. 2677-2683, 2012.
  17. S. Bernard, S. Adam, L. Heutte. Dynamic random forests. Pattern Recognition Letters, vol. 33, no. 12, pp. 1580-1586, 2012.
  18. C. Désir, C. Petitjean, L. Heutte, L. Thiberville, M. Salaün. An SVM-based distal lung image classification using texture descriptors. Computerized Medical Imaging and Graphics, vol. 36, no. 4, pp. 264-270, 2012.
  19. F. Montreuil, S. Nicolas, L. Heutte, E. Grosicki. Intégration d’informations textuelles de haut niveau en analyse de structures de documents manuscrits non contraints. Document Numérique, Hermès, vol. 14, no. 2, pp. 77-101, 2011.
  20. C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, T. Paquet. Non-cost-sensitive SVM training using multiple model selection. Journal of Circuits, Systems, and Computers, vol. 19, no. 1, pp. 231-242, 2010.
  21. C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, T. Paquet. A multi-model selection framework for unknown and/or evolutive misclassification cost problems. Pattern Recognition, vol. 43, no. 3, pp. 815-823, 2010.
  22. S. Nicolas, J. Dardenne, T. Paquet, L. Heutte. Utilisation de modèles markoviens 2D pour la segmentation d’images de documents. Revue I3 – Information Interaction Intelligence, vol. 8, no. 2, pp. 95-121, 2008.
  23. S. Glénat, L. Heutte, T. Paquet, R. Guest, M. Fairhurst, T. Linnell. The development of a computer-assisted tool for the assessment of neuropsychological drawing tasks. International Journal of Information Technology and Decision Making, vol. 7, no. 4, pp. 751-767, 2008.
  24. W. Jia, B. Ling, K.W. Chau, L. Heutte. Palmprint identification using restricted fusion. Applied Mathematics and Computation, vol. 205, no. 2, pp. 927-934, 2008.
  25. X.F. Wang, D.S. Huang, J.X. Du, H. Xu, L. Heutte. Classification of plant leaf images with complicated background. Applied Mathematics and Computation, vol. 205, no. 2, pp. 916-926, 2008.
  26. U. Garain, S.K. Parui, T. Paquet, L. Heutte. Machine dating of manuscripts written by an individual. Journal of Electronic Imaging, SPIE, vol. 17, no. 1, 2008.
  27. M.C. Fairhurst, T. Linnell, S. Glénat, R.M. Guest, L. Heutte, T. Paquet. Developing a generic approach to on-line automated analysis of writing and drawing tests in clinical patient profiling. Behavior Research Methods, vol. 40, no.1, pp. 290-303, 2008. [pdf]
  28. A. Wiart, T. Paquet, L. Heutte. Detection and recognition of erasures in on-line captured paper forms. Pattern Recognition Letters, vol. 28, no. 10, pp. 1263-1270, 2007.
  29. C. Chatelain, G. Koch, L. Heutte, T. Paquet. Une méthode dirigée par la syntaxe pour l’extraction de champs numériques dans les courriers entrants. Traitement du Signal, vol. 23, no. 2, pp. 179-198, 2006.
  30. U. Garain, T. Paquet, L. Heutte. On foreground-background separation in low quality document images. International Journal on Document Analysis and Recognition, vol. 8, no. 1, pp. 47-63, 2006.
  31. A. Bensefia, T. Paquet, L. Heutte. Identification et vérification du scripteur dans des documents manuscrits. Traitement du Signal, vol. 22, no. 3, pp. 249-259, 2005.
  32. H. Zouari, L. Heutte, Y. Lecourtier. Controlling the diversity in classifier ensembles through a measure of agreement. Pattern Recognition, vol. 38, no. 11, pp. 2195-2199, 2005.
  33. A. Bensefia, T. Paquet, L. Heutte. Handwritten document analysis for automatic writer recognition. Electronic Letters on Computer Vision and Image Analysis, vol. 5, no. 2, pp. 72-86, 2005.
  34. G. Koch, L. Heutte, T. Paquet. Automatic extraction of numerical sequences in handwritten incoming mail documents. Pattern Recognition Letters, vol. 26, no. 8, pp. 1118-1127, 2005.
  35. A. Bensefia, T. Paquet, L. Heutte. A writer identification and verification system. Pattern Recognition Letters, vol. 26, no. 13, pp. 2080-2092, 2005.
  36. I. Zaarour, B. El-Eter, P. Leray, L. Heutte, J. Labiche, D. Mellier, M. Zoater. Une modélisation de haut niveau des stratégies d’écriture motrice d’enfants en scolarité primaire : approche bayésienne. Journal de Physique IV, vol. 124, pp. 233-236, 2005. [pdf]
  37. A. Bensefia, T. Paquet, L. Heutte. Writer identification and verification: two complementary approaches for the quantitative analysis of handwritten documents. Journal of Forensic Document Examination, vol. 16, pp. 57-76, 2004.
  38. I. Zaarour, L. Heutte, Ph. Leray, J. Labiche, B. Eter, D. Mellier. Clustering and bayesian network approaches for discovering handwriting strategies of primary school children. International Journal of Pattern Recognition and Artificial Intelligence, IJPRAI, vol. 18, no. 7, pp. 1233-1251, 2004.
  39. L. Heutte, A. Nosary, T. Paquet. A multiple agent architecture for handwritten text recognition. Pattern Recognition, vol. 37, no. 4, pp. 665-674, 2004. [pdf]
  40. A. Nosary, L. Heutte, T. Paquet. Unsupervised writer adaptation applied to handwritten text recognition. Pattern Recognition, vol. 37, no. 2, pp. 385-388, 2004. [pdf]
  41. A. Bensefia, T. Paquet, L. Heutte. Documents manuscrits et recherche d’information. Document Numérique, Hermès, vol. 7, no. 3-4, pp. 47-60, 2003. [pdf]
  42. P. Pereira, L. Heutte, Y. Lecourtier. Source-to-source instrumentation for the optimization of an automatic reading system. The Journal of Supercomputing, 18(1):89-104, January 2001. [pdf]
  43. L. Heutte, T. Paquet, J.V. Moreau, Y. Lecourtier, C. Olivier. A structural/statistical feature based vector for handwritten character recognition. Pattern Recognition Letters, vol. 19, no. 7, pp. 629-641, 1998. [pdf]
  44. L. Heutte, P. Pereira, O. Bougeois, J.V. Moreau, B. Plessis, P. Courtellemont, Y. Lecourtier. Multi-bank check recognition system: Consideration on the numeral amount recognition module. International Journal of Pattern Recognition and Artificial Intelligence, IJPRAI, vol. 11, no. 4, pp. 595-618, 1997.

Book chapters

  1. S. Bernard, H. Cao, R. Sabourin, L. Heutte. Random Forest for Dissimilarity-based Multi-view Learning. Handbook of Pattern Recognition and Computer Vision (PRCV), 6th Edition for World Scientific Publishing. pp. 119-138, 2020.  
  2. L. Heutte, C. Petitjean, and C. Désir. Pruning trees in random forests for minimizing non detection in medical imaging. Handbook of Pattern Recognition and Computer Vision, 5th Edition for World Scientific Publishing, ISBN: 978-981-4656-52-8, pp. 89-107, publication dated January  2016.
  3. S. Nicolas, T. Paquet, L. Heutte. Document Image Analysis using markovian models: Application to historical documents. Advances in Digital Document Processing and Retrieval, Statistical Science and Interdisciplinary Research – vol. 13 (B.B. Chaudhuri and S.K. Parui Editors), World Scientific, ISBN 981-4368-70-9, Summer 2012.
  4. L. Heutte, P. Pereira, O. Bougeois, J.V. Moreau, B. Plessis, P. Courtellemont, Y. Lecourtier. Multi-bank check recognition system: Consideration on the numeral amount recognition module. Automatic Bankcheck Processing, Series in Machine Perception and Artificial Intelligence – vol. 28 (S. Impedovo, PSP. Wang and H. Bunke Editors), World Scientific Publishing Company, ISBN 981-02-3223-3, pp. 133-156, 1997.

Edited conference proceedings

  1. D.S. Huang, M. McGinnity, L. Heutte, X.P. Zhang (Eds.). 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, 2010, Volume 93, Springer, 575 pages, ISBN: 978-3-642-14830-9. [springer]
  2. D.S. Huang, L. Heutte, M. Loog (Eds.). 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, 1379 pages, ISBN: 978-3-540-74170-1. [springer]
  3. D.S. Huang, L. Heutte, M. Loog (Eds.). 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, 1373 pages, ISBN: 978-3-540-74201-2. [springer]
  4. D.S. Huang, L. Heutte, M. Loog (Eds.). 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. Series: Communications in Computer and Information Science, vol. 2, 2007, 1375 pages, ISBN: 978-3-540-74281-4. [springer]

Invited talks and keynotes

  1. L. Heutte. Random forests for biomedical data classification. 2017 IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2017, Kuching, Malaysia, Sept. 12-14, 2017.
  2. L. Heutte, T. Paquet, A. Nosary, H. Khoufi. Handwritten text recognition through writer adaptation. International Conference on Automatics and Informatics, Sofia, Bulgaria, May 31 – June 2, 2001. [pdf]

Papers in international conferences

  1. H. Lerogeron, L. Heutte, R. Picot-Clémente, A. Rakotomamonjy. Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW. International Neural Network Society Workshop on Deep Learning Innovations and Applications, INNS DLIA 2023, Procedia Computer Science 222 (2023), pp. 448-457, 2023
  2. Z. Curi, S. Nicolas, P. Tranouez, A. Britto, L. Heutte. Image retrieval and pattern spotting on historical documents with binary descriptors. 26th International Conference on Pattern Recognition, ICPR 2022, Montréal, Canada, 2022.
  3. C. da Silva Dias, A. Souza Britto Jr., J.P. Barddal, L. Heutte, A. Lameiras Koerich. Pattern spotting and image retrieval in historical documents using deep hashing. 2022 IEEE International Conference on Systems, Man, and Cybernetics, IEEE-SMC 2022, Prague, Czech Republic, 2022.
  4. L. Cavalheiro, JP Barddal, A. de Souza Britto Jr, L. Heutte. Dynamically selected ensemble for data stream classification. Accepted for communication to International Joint Conference on Neural Networks, IJCNN 2021, virtual event, July 2021.
  5. H. Cao, S. Bernard, R. Sabourin, L. Heutte. A novel random forest dissimilarity measure for multi-view learning. 25th International Conference on Pattern Recognition, ICPR 2020, Milan, Italy, 2020
  6. I. Ubeda, J. Saavedra, S. Nicolas, C. Petitjean, L. Heutte. Pattern spotting in historical documents using convolutional models. 5th International Workshop on Historical Document Imaging and Processing, HIP@ICDAR 2019, Sydney, NSW, Australia, pp. 60-65, 2019
  7. K. Wiggers, A. Britto, L. Heutte, A. Koerich, L. Oliveira. Image retrieval and pattern spotting using siamese neural network. International Joint Conference on Neural Networks 2019, IJCNN2019, Budapest, Hungary, pp. 1-8, 2019. 
  8. W. Jradi, M. Messaadia, A. Louis, L. Heutte. Analysis of items recommendations methods for heritage sites. 2018 IEEE  International  Conference  on  Metrology  for  Archaeology  and  Cultural  Heritage – MetroArchaeo2018, Cassino, Italy, pp. 522-526, 2018.
  9. H. Cao, S. Bernard, L. Heutte, R. Sabourin. Dynamic voting in multi-view learning for radiomics applications. IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition (SPR 2018) and Structural and Syntactic Pattern Recogntion (SSPR 2018), S+SSPR 2018, Beijing, China, LCNS, vol. 11004, Springer, pp. 32-41, August 2018.
  10. H. Cao, S. Bernard, L. Heutte, R. Sabourin. Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images. 15th International Conference on Image Analysis and Recognition, ICIAR 2018, Povoa de Varzim, Portugal, LNCS, vol. 10882, Springer, pp. 779-787, June 2018.
  11. K. Wiggers, A. Britto, L. Heutte, A. Koerich, L. Oliveira. Document image retrieval using deep features. 2018 International Joint Conference on Neural Networks, IJCNN2018, Rio de Janeiro, Brazil, pp. 1-8, 2018.
  12. H. Cao, S. Bernard, L. Heutte, R. Sabourin. Dissimilarity-based representation for radiomics applications. First International Conference on Pattern Recognition and Artificial Intelligence 2018, ICPRAI 2018, Montréal, Canada, pp. 53-59, 2018.
  13. F. Spanhol, P. Cavalin, L. Oliveira, C. Petitjean, L. Heutte. Deep features for breast cancer histopathological image classification. 2017 IEEE International Conference on Systems, Man, and Cybernetics, IEEE SMC 2017, Banff, Canada, pp. 1868-1873, 2017.
  14. S. En, C. Petitjean, S. Nicolas, L. Heutte, F. Jurie. Pattern localization in historical document images via template matching. 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, pp. 2054-2059, 2016.
  15. S. En, C. Petitjean, S. Nicolas, F. Jurie, L. Heutte. Region proposal for pattern spotting in historical document images. 15th International Conference on Frontiers in Handwriting Recognition, ICFHR 2016, Shenzhen, China, pp. 367-372, 2016.
  16. F. Spanhol, L. Oliveira, C. Petitjean, L. Heutte. Breast cancer histopathological image classification using convolutional neural networks. 2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, Canada, pp. 2560-2567, 2016.
  17. S. En, C. Petitjean, S. Nicolas, L. Heutte. Segmentation-free pattern spotting in historical document images. 13th International Conference on Document Analysis and Recognition, ICDAR 2015, Tunis, Tunisia, IEEE Computer Society, pp. 606-610, 2015.
  18. S. En, F. Jurie, S. Nicolas, C. Petitjean, L. Heutte. Linear discriminant analysis for zero-shot learning image retrieval. 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015, Berlin, Germany, vol. 2, pp. 70-77, 2015.
  19. V. Dovgalecs, A. Burnett, P. Tranouez, S. Nicolas, L. Heutte. Spot it! Finding words and patterns in historical documents. 12th International Conference on Document Analysis and Recognition, ICDAR 2013, Washington DC, USA, IEEE Computer Society, pp. 1039-1043, 2013.
  20. C. Désir, S. Bernard, C. Petitjean, L. Heutte. A new random forest method for one class classification. IAPR International Workshop on Statistical Techniques in Pattern Recognition, SPR 2012, Hiroshima, Japan, G.L. Gimel’ farb et al. (Eds.): SSPR & SPR 2012, LNCS 7626, pp. 282–290, 2012. 
  21. C. Désir, S. Bernard, C. Petitjean, L. Heutte. A random forest based approach for one class classification in medical imaging. Third MICCAI International Workshop on Machine Learning in Medical Imaging, MLMI 2012, Nice, France, F. Wang et al. (Eds.): MLMI 2012, LNCS 7588, Springer, Heidelberg, pp. 250-257, 2012.
  22. P. Tranouez, S. Nicolas, V. Dovgalecs, A. Burnett, L. Heutte, Y. Liang, R. Guest, M. Fairhurst. DocExplore: Overcoming cultural and physical barriers to access ancient documents. 2012 ACM Symposium on Document Engineering, DocEng 2012, Paris, France, pp. 205-208, 2012.
  23. D. Hébert, C. Désir, C. Petitjean, L. Heutte, L. Thiberville. Detection of pathological condition in distal lung images. IEEE International Symposium on Biomedical Imaging, ISBI 2012, Barcelona, Spain, pp. 1603-1606, May 2012.
  24. C. Petitjean, C. Désir, L. Thiberville, G. Lettier, L. Heutte. Manual vs. automatic classification of endomicroscopic images of the distal lung. 25th International Congress and Exhibition on Computer Assisted Radiology and Surgery, CARS 2011, Berlin, Germany, June 2011.
  25. F. Montreuil, E. Grosicki, S. Nicolas, L. Heutte. A new hierarchical handwritten document layout extraction based on conditional random field modeling. 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010, Kolkata, India, IEEE Proceedings, pp. 31-36, 2010.
  26. S. Thomas, C. Chatelain, L. Heutte, T. Paquet. Alpha-numerical sequences extraction in handwritten documents. 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010, Kolkata, India, IEEE Proceedings, pp. 232-237, 2010.
  27. S. Bernard, L. Heutte, S. Adam. A study of strength and correlation in random forests. 2010 International Conference on Intelligent Computing, ICIC 2010, Changsha, China, Communications in Computer and Information Science, Springer, vol. 93, pp. 186-191, 2010.
  28. C. Désir, C. Petitjean, L. Heutte, L. Thiberville. Using a priori knowledge to classify in vivo images of the lung. 2010 International Conference on Intelligent Computing, ICIC 2010, Changsha, China, LNCS 6216, Springer, pp. 207-212, 2010.
  29. K. Ait-Mohand, T. Paquet, N. Ragot, L. Heutte. Structure adaptation of Hidden Markov Models applied to OCR. 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, IEEE Proceedings, pp. 2877-2880, 2010.
  30. S. Thomas, C. Chatelain, L. Heutte, T. Paquet. An Information Extraction model for unconstrained handwritten documents. 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, IEEE Proceedings, pp. 3412-3415, 2010.
  31. K. Ait-Mohand, L. Heutte, T. Paquet, N. Ragot. Font adaptation of an HMM-based OCR system. Document Recognition and Retrieval XVII, Part of the IS&T/SPIE International Symposium on Electronic Imaging 2010, San Jose, California, USA, Proc. SPIE Vol. 7534, 75340J, pp. 1-10, 2010.
  32. S. Bernard, L. Heutte, S. Adam. Towards a better understanding of random forests through the study of strength and correlation. 2009 International Conference on Intelligent Computing, ICIC 2009, Ulsan, Korea, LNAI 5755, Springer, pp. 536-545, 2009.
  33. A. Saint-Réquier, B. Lelandais, C. Petitjean, C. Désir, L. Heutte, M. Salaün, L. Thiberville. Characterization of endomicroscopic images of the distal lung for computer-aided diagnosis. 2009 International Conference on Intelligent Computing, ICIC 2009, Ulsan, Korea, LNCS 5754, Springer, pp. 994-1003, 2009.
  34. C. Petitjean, C. Désir, M. Salaün, L. Thiberville, L. Heutte. Automatic classification of in-vivo distal lung images for computer-aided diagnosis. Medical Image Understanding and Analysis 2009, MIUA 2009, Proc. of the 13th Annual Conference, London, UK, pp. 99-103, 2009.
  35. F. Montreuil, E. Grosicki, L. Heutte, S. Nicolas. Unconstrained handwritten document layout extraction using 2D conditional random fields. 10th International Conference on Document Analysis and Recognition, ICDAR 2009, Barcelona, Spain, IEEE Proceedings, pp. 853-857, 2009.
  36. S. Bernard, L. Heutte, S. Adam. Influence of Hyperparameters on Random Forest Accuracy. 8th International Workshop on Multiple Classifier Systems, MCS 2009, Reykjavik, Iceland, LNCS 5519, Springer, pp. 171-180, 2009.
  37. C. Petitjean, R. Kouadio, L. Heutte, V. Delcourt. Automatic Dropper Extraction in Catenary Scenes. 4th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2009, Póvoa de Varzim, Portugal, LNCS 5524, Springer, pp. 225-232, 2009.
  38. C. Petitjean, J. Benoist, L. Thiberville, M. Salaün, L. Heutte. Classification of In-vivo Endomicroscopic Images of the Alveolar Respiratory System. IAPR Conference on Machine Vision Applications 2009, MVA 2009, Yokohama, Japan, pp. 471-474, 2009.
  39. C. Petitjean, L. Heutte, R. Kouadio, V. Delcourt. Automatic Extraction of Droppers in Catenary Scenes. IAPR Conference on Machine Vision Applications 2009, MVA 2009, Yokohama, Japan, pp. 497-500, 2009.
  40. S. Bernard, L. Heutte, S. Adam. On the Selection of Decision Trees in Random Forests. 2009 International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, USA, IEEE Proceedings, pp. 302-307, 2009.
  41. S. Bernard, L. Heutte, S. Adam. Forest-RK: A new random forest induction method. 2008 International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, LNCS 5227, Springer, pp. 430-437, 2008.
  42. S. Nicolas, L. Heutte, T. Paquet. Authorial manuscript image analysis using markovian models: the Bovary project. 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 2008.
  43. F. Montreuil, R. Kouadio, C. Petitjean, L. Heutte, V. Delcourt. Automatic extraction of information for catenary scene analysis. 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 2008.
  44. C. Chatelain, L. Heutte, T. Paquet. Recognition-based vs syntax-directed models for numerical field extraction in handwritten documents. 11th International Conference on Frontiers in Handwriting Recognition, ICFHR 2008, Montreal, Canada, pp. 159-164, 2008.
  45. S. Nicolas, T. Paquet, L. Heutte. 2D markovian models for document structure analysis. 11th International Conference on Frontiers in Handwriting Recognition, ICFHR 2008, Montreal, Canada, pp. 658-663, 2008.
  46. C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, T. Paquet. Multi-objective optimization for SVM model selection. 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, IEEE Proceedings, pp. 427-431, 2007.
  47. U. Garain, S. Parui, T. Paquet, L. Heutte. Machine dating of handwritten manuscripts. 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, IEEE Proceedings, pp. 759-763, 2007.
  48. S. Bernard, S. Adam, L. Heutte. Using random forests for handwritten digit recognition. 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, IEEE Proceedings, pp. 1043-1047, 2007.
  49. S. Nicolas, T. Paquet, L. Heutte. Document image segmentation using a 2D conditional random field model. 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, IEEE Proceedings, pp. 407-411, 2007.
  50. C. Chatelain, L. Heutte, T. Paquet. Discrimination between digits and outliers in handwritten documents applied to the extraction of numerical fields. 10th International Workshop on Frontiers in Handwriting Recognition, IWFHR-10, La Baule, France, pp. 475-480, 2006.
  51. A. Wiart, T. Paquet, L. Heutte. Erasure extraction in on-line captured paper forms. 10th International Workshop on Frontiers in Handwriting Recognition, IWFHR-10, La Baule, France, pp. 47-52, 2006.
  52. S. Nicolas, T. Paquet, L. Heutte. Markov random field models to extract the layout of complex handwritten documents. 10th International Workshop on Frontiers in Handwriting Recognition, IWFHR-10, La Baule, France, pp. 563-568, 2006.
  53. H. Zouari, L. Heutte, Y. Lecourtier. Experimental comparison of combination rules using simulated data. 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, IEEE Proceedings, vol. 3, pp. 152-155, 2006.
  54. S. Nicolas, T. Paquet, L. Heutte. A markovian approach for handwritten document segmentation. 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, IEEE Proceedings, vol. 3, pp. 292-295, 2006.
  55. C. Chatelain, L. Heutte, T. Paquet. A two stage outlier rejection strategy for numerical field extraction in handwritten documents. 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, IEEE Proceedings, vol. 3, pp. 224-227, 2006.
  56. S. Nicolas, T. Paquet, L. Heutte. Complex handwritten page segmentation using contextual models. 2nd IEEE International Conference on Document Image Analysis for Libraries, DIAL 2006, Lyon, France, IEEE Proceedings, pp. 46-57, 2006.
  57. C. Chatelain, L. Heutte, T. Paquet. Segmentation-driven recognition applied to numerical field extraction from handwritten incoming mail documents. 7th IAPR Workshop on Document Analysis Systems, DAS 2006, Nelson, New Zealand, LNCS 3872, Springer, pp. 564-575, 2006.
  58. U. Garain, T. Paquet, L. Heutte. On foreground-background separation in low quality color document images. 8th International Conference on Document Analysis and Recognition, ICDAR’2005, Seoul, Korea, IEEE Proceedings, pp. 585-589, 2005.
  59. S. Nicolas, Y. Kessentini, T. Paquet, L. Heutte. Handwritten document segmentation using hidden markov random fields. 8th International Conference on Document Analysis and Recognition, ICDAR’2005, Seoul, Korea, IEEE Proceedings, pp. 212-216, 2005.
  60. S. Glénat, L. Heutte, T. Paquet, D. Mellier. Computer-based diagnosis of dyspraxia: the MEDDRAW project. 12th Conference of the International Graphonomics Society, IGS’2005, Salerno, Italy, pp. 49-53, 2005.
  61. H. Zouari, L. Heutte, Y. Lecourtier. Using diversity measure in building classifier ensembles for combination method analysis. Computer Recognition Systems, Proc. of 4th International Conference on Computer Recognition Systems CORES’05, Kurzynski, M.; Puchala, E.; Wozniak, M.; Zolnierek, A. (Eds.), Springer, Series: Advances in Soft Computing, pp. 337-344, 2005.
  62. C. Chatelain, L. Heutte, T. Paquet. A syntax-directed method for numerical field extraction using classifier combination. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 93-98, 2004.
  63. A. Bensefia, T. Paquet, L. Heutte. Handwriting analysis for writer verification. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 196-201, 2004.
  64. S. Nicolas, T. Paquet, L. Heutte. Text line segmentation in handwritten documents using a production system. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 245-250, 2004.
  65. G. Koch, T. Paquet, L. Heutte. Combination of contextual information for handwritten word recognition. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 468-473, 2004.
  66. S. Nicolas, T. Paquet, L. Heutte. Enriching historical manuscripts: the Bovary project. Document Analysis Systems VI, Lecture Notes in Computer Science, Springer, LNCS 3163, pp. 135-146, 2004.
  67. I. Zaarour, P. Leray, L. Heutte, B. Eter, J. Labiche, D. Mellier, M. Zoaeter. Modelling of handwriting prototypes in graphonomics : Bayesian network approach. 5th EUROSIM Congress on Modelling and Simulation, EUROSIM’04, Marne-la-Vallée, France, pp. 78 (Proceedings on CD-ROM), 2004.
  68. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. Simulating classifier ensembles of fixed diversity for studying plurality voting performance. 17th International Conference on Pattern Recognition, ICPR’2004, Cambridge, UK, IEEE Proceedings, vol. 1, pp. 232-235, 2004.
  69. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. Generating classifier outputs with fixed diversity for evaluating voting methods. Structural, Syntactic and Statistical Pattern Recognition, Lecture Notes in Computer Science, Springer, LNCS 3138, pp. 1001-1009, 2004.
  70. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. Building diverse classifier outputs to evaluate the behavior of combination methods: the case of two classifiers. Multiple Classifier Systems, Lecture Notes in Computer Science, Springer, LNCS 3077, pp. 237-282, 2004.
  71. S. Nicolas, T. Paquet, L. Heutte. Digitizing cultural heritage manuscripts: the Bovary project. ACM Symposium on Document Engineering, ACM Doc Eng 2003, Grenoble, France, pp. 55-57, 2003. [pdf]
  72. I. Zaarour, L. Heutte, B. El-Eter, J. Labiche, D. Mellier, P. Leray, M. Zoaeter. A probabilistic modeling of the writing strategies evolution for pupils in primary education. 11th Conference of the International Graphonomics Society, IGS’2003, Scottsdale, Arizona, pp. 174-177, 2003. [pdf]
  73. I. Zaarour, P. Leray, L. Heutte, B. El-Eter, J. Labiche, D. Mellier. A bayesian network model for discovering handwriting strategies of primary school children. 11th Conference of the International Graphonomics Society, IGS’2003, Scottsdale, Arizona, pp. 178-181, 2003. [pdf]
  74. A. Bensefia, T. Paquet, L. Heutte. Information retrieval based writer identification. 11th Conference of the International Graphonomics Society, IGS’2003, Scottsdale, Arizona, pp. 320-323, 2003. [pdf]
  75. A. Bensefia, T. Paquet, L. Heutte. Grapheme based writer verification. 11th Conference of the International Graphonomics Society, IGS’2003, Scottsdale, Arizona, pp. 274-277, 2003. [pdf]
  76. P. Leray, I. Zaarour, L. Heutte, B. El-Eter, J. Labiche, D. Mellier. A bayesian model for discovering handwriting strategies of primary school children. Workshop on Probabilistic Graphical Models for Classification, ECML/PKDD-2003, Cavtat-Dubrovnik, Croatia, pp. 49-57, 2003. [pdf]
  77. I. Zaarour, P. Leray, D. Mellier, J. Labiche, L. Heutte. Graphomotor strategies models and their evolution at the primary school: approach by bayesian networks. Progress in Motor Control IV: Motor Control and Learning over the Life Span, Caen, France, pp. 174, 2003.
  78. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. A new classifier simulator for evaluating parallel combination methods. Seventh International Conference on Document Analysis and Recognition, ICDAR’2003, Edinburgh, UK, IEEE Proceedings, vol. 1, pp. 26-30, 2003. [pdf]
  79. A. Bensefia, T. Paquet, L. Heutte. Writer identification using an information retrieval paradigm. Seventh International Conference on Document Analysis and Recognition, ICDAR’2003, Edinburgh, UK, IEEE Proceedings, vol. 2, pp. 946-950, 2003. [pdf]
  80. G. Koch, L. Heutte, T. Paquet. Numerical sequence extraction in handwritten incoming mail documents. Seventh International Conference on Document Analysis and Recognition, ICDAR’2003, Edinburgh, UK, IEEE Proceedings, vol. 1, pp. 369-373, 2003. [pdf]
  81. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. Simulating classifier outputs for evaluating parallel combination methods. Multiple Classifier Systems, Lecture Notes in Computer Science, Springer, LNCS 2709, pp. 296-305, 2003. [pdf]
  82. A. Bensefia, T. Paquet, L. Heutte. Information retrieval based writer identification. Proceedings of the 3rd International Workshop on Pattern Recognition in Information Systems, PRIS’2003, Angers, France, Jean-Marc Ogier and Eric Trupin (Eds.), ICEIS Press, ISBN 972-98816-3-4, pp. 56-63, 2003. [pdf]
  83. G. Koch, L. Heutte, T. Paquet. Numerical field extraction in handwritten incoming mail documents. Proceedings of the 3rd International Workshop on Pattern Recognition in Information Systems, PRIS’2003, Angers, France, Jean-Marc Ogier and Eric Trupin (Eds.), ICEIS Press, ISBN 972-98816-3-4, pp. 167-172, 2003. [pdf]
  84. A. Nosary, T. Paquet, L. Heutte, A. Bensefia. Handwritten text recognition through writer adaptation. 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR’02, Niagara-on-the-Lake, Canada, IEEE Proceedings, pp. 363-368, 2002. [pdf]
  85. A. Bensefia, A. Nosary, T. Paquet, L. Heutte. Writer identification by writer’s invariants. 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR’02, Niagara-on-the-Lake, Canada, IEEE Proceedings, pp. 274-279, 2002. [pdf]
  86. L. Heutte, T. Paquet, A. Nosary, C. Hernoux. Handwritten text recognition using a multiple-agent architecture to adapt the recognition task. Proceedings of the Seventh International Workshop on Frontiers in Handwriting Recognition, IWFHR VII, September 11-13 2000, Amsterdam, L.R.B. Schomaker & L.G. Vuurpijl (Eds.), Nijmegen: International Unipen Foundation, ISBN 90-76942-01-3, pp. 413-422, 2000. [pdf]
  87. A. Nosary, L. Heutte, T. Paquet, Y. Lecourtier. Defining writer’s invariants to adapt the recognition task. 5th International Conference on Document Analysis and Recognition, ICDAR’99, Bangalore, India, pp. 765-768, 1999. [pdf]
  88. A. Nosary, L. Heutte, T. Paquet, Y. Lecourtier. A step towards the use of writer’s properties for text recognition. 3rd IEE European Workshop on Handwriting Analysis and Recognition, IEE-EWHAR’98, Brussels, Belgium, pp. 16/1-16/6, 1998. [pdf]
  89. P. Pereira, L. Heutte, J.V. Moreau, P. Courtellemont, Y. Lecourtier. Instrumenting C based languages for system address tracing: Application to the memory optimization of an automatic bank check reading system. 11th Annual International Symposium on High Performance Computing Systems, HPCS’97, Winnipeg, Canada, K. Barker Editor, pp. 529-538, 1997.
  90. L. Heutte, J.V. Moreau, T. Paquet, Y. Lecourtier, C. Olivier. Combining structural and statistical features for the recognition of handwritten characters. 13th International Conference on Pattern Recognition, IAPR-ICPR’96, Vienna, Austria, IEEE Proceedings, vol. 2, pp. 210-214, 1996.
  91. P. Pereira, L. Heutte, O. Bougeois, J.V. Moreau, B. Plessis, P. Courtellemont, Y. Lecourtier. Numeral amount recognition on multi-bank checks. 13th International Conference on Pattern Recognition, IAPR-ICPR’96, Vienna, Austria, IEEE Proceedings, vol. 3, pp. 165-169, 1996.
  92. L. Heutte, J.V. Moreau, B. Plessis, J.L. Plagnaud, Y. Lecourtier. Handwritten numeral recognition based on multiple feature extractors. 2nd IAPR International Conference on Document Analysis and Recognition, IAPR-ICDAR’93, Tsukuba, Japan, IEEE Proceedings, pp. 167-170, 1993.
  93. B. Plessis, A. Sicsu, L. Heutte, E. Menu, E. Lecolinet, O. Debon, J.V. Moreau. A multi-classifier combination strategy for the recognition of handwritten cursive words. 2nd IAPR International Conference on Document Analysis and Recognition, IAPR-ICDAR’93, Tsukuba, Japan, IEEE Proceedings, pp. 642-645, 1993.
  94. L. Heutte, J.V. Moreau, Y. Lecourtier. A new feature extraction strategy for handwritten pseudo-character recognition based on multiple feature extractors. 6th IGS International Conference on Handwriting and Drawing, IGS-ICOHD’93, Paris, France, pp. 186-188, 1993.
  95. L. Heutte, J.M. Ogier, Y. Lecourtier, C. Olivier. Road and texture extraction : two aspects of automatic map treatment. 11th IAPR International Conference on Pattern Recognition, IAPR-ICPR’92, The Hague, The Netherlands, IEEE Proceedings, vol. 3, pp. 109-112, 1992.

Papers in french-speaking conferences

  1. H. Cao, S. Bernard, R. Sabourin, L. Heutte. Pondération dynamique en apprentissage multi-vues pour des applications radiomics. CAp 2018, Rouen, France, 2018.
  2. S. En, C. Petitjean, S. Nicolas, L. Heutte. Détection de motifs graphiques dans des images de documents anciens. GRETSI 2015, Lyon, France, 2015.
  3. S. Thomas, C. Chatelain, T. Paquet, L. Heutte. Combinaison architecture profonde / HMM pour l’extraction de séquences dans des documents manuscrits. Colloque International Francophone sur l’Écrit et le Document, CIFED 2012, Bordeaux, France, mars 2012.
  4. K. Ait-Mohand, T. Paquet, L. Heutte, N. Ragot. Adaptation de modèles de Markov cachés – Application à la reconnaissance de caractères imprimés. Colloque International Francophone sur l’Écrit et le Document, CIFED 2010, Sousse, Tunisie, pp. 83-94, 2010.
  5. S. Thomas, L. Heutte, T. Paquet, C. Chatelain. Un système générique d’extraction d’information dans des documents manuscrits non-contraints. Colloque International Francophone sur l’Écrit et le Document, CIFED 2010, Sousse, Tunisie, pp. 367-378, 2010.
  6. F. Montreuil, E. Grosicki, S. Nicolas, L. Heutte. Apport d’une information textuelle pour l’extraction de structures de documents manuscrits. Colloque International Francophone sur l’Écrit et le Document, CIFED 2010, Sousse, Tunisie, pp. 281-296, 2010.
  7. K. Ait-Mohand, L. Heutte, T. Paquet, N. Ragot. Adaptation d’un système d’OCR Markovien à de nouvelles fontes. 17ème congrès francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA 2010, Caen, France, janvier 2010.
  8. B. Lelandais, C. Désir, C. Petitjean, L. Heutte, L. Thiberville. Classification d’images alvéoscopiques par extra-trees. 17ème congrès francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA 2010, Caen, France, janvier 2010.
  9. F. Montreuil, E. Grosicki, S. Nicolas, L. Heutte. Extraction de structure de documents manuscrits non contraints par champs aléatoires conditionnels 2D. XXIIe Colloque GRETSI, GRETSI 2009, Dijon, France, septembre 2009.
  10. C. Petitjean, J. Benoist, L. Thiberville, M. Salaün, L. Heutte. Classification d’images endomicroscopiques du système respiratoire alvéolaire. XXIIe Colloque GRETSI, GRETSI 2009, Dijon, France, septembre 2009.
  11. C. Petitjean, L. Heutte, V. Delcourt, R. Kouadio. Extraction automatique de pendules dans des images de caténaire. XXIIe Colloque GRETSI, GRETSI 2009, Dijon, France, septembre 2009.
  12. M. Oueslati, H. Khoufi Zouari, M. Maddouri, L. Heutte. Etude de la combinaison de classifieurs dans le cadre du boosting. 6ème édition des ateliers de travail sur le Traitement et l’Analyse de l’Information: Méthodes et Applications, TAIMA’2009, Hammamet, Tunisie, mai 2009.
  13. S. Bernard, L. Heutte, S. Adam. Etude de l’Influence des Hyperparamètres sur les Performances des Forêts Aléatoires. XIème Conférence francophone sur l’Apprentissage Artificiel, CAP 2009, Hammamet, Tunisie, pp. 81-92, 2009.
  14. L. Heutte, S. Bernard, S. Adam, E. Oliveira. De la sélection d’arbres dans les forêts aléatoires. Colloque International Francophone sur l’Ecrit et le Document, CIFED 2008, Rouen, France, pp. 163-168, 2008.
  15. S. Bernard, L. Heutte, S. Adam. Etude de l’influence des paramètres sur les performances des forêts aléatoires. Colloque International Francophone sur l’Ecrit et le Document, CIFED 2008, Rouen, France, pp. 207-208, 2008.
  16. C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, Y. Oufella, T. Paquet. Optimisation multi-objectif pour la sélection de modèles SVM. 16ème congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA 2008, Amiens, France, pp. 490-497, 2008.
  17. S. Nicolas, J. Dardenne, T. Paquet, L. Heutte. Un modèle de champs aléatoire conditionnel 2D appliqué à la segmentation d’images de documents. 16ème congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA 2008, Amiens, France, pp. 304-312, 2008.
  18. C. Chatelain, L. Heutte, T. Paquet. Discrimination chiffre/rejet pour l’extraction de champs numériques dans des documents manuscrits. 9ème Colloque Francophone sur l’Ecrit et le Document, CIFED 2006, Fribourg, Suisse, pp. 55-60, 2006.
  19. A. Wiart, T. Paquet, L. Heutte. Localisation des ratures dans les formulaires papier numérisés en ligne. 9ème Colloque Francophone sur l’Ecrit et le Document, CIFED 2006, Fribourg, Suisse, pp. 169-174, 2006.
  20. S. Nicolas, T. Paquet, L. Heutte. Extraction de la structure de documents manuscrits complexes à l’aide de champs markoviens. 9ème Colloque Francophone sur l’Ecrit et le Document, CIFED 2006, Fribourg, Suisse, pp. 13-18, 2006.
  21. C. Chatelain, L. Heutte, T. Paquet. Reconnaissance de champs numériques dans des documents manuscrits. 15ème Congrès Francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA 2006, Tours, France, pp. 45 (actes sur CDROM), 2006.
  22. C. Chatelain, L. Heutte, T. Paquet. Extraction automatique de champs numériques dans des documents manuscrits. 6èmes Journées Francophones d’Extraction et Gestion des Connaissances, EGC 2006, Villeneuve d’Ascq, France, vol.1, pp. 23-34, 2006.
  23. I. Zaarour, Z. Saliha, L. Heutte, D. Mellier. Acquisition et comparaison en ligne de l’écriture d’enfants bilingues. 8ème Colloque International sur le Document Numérique, CIDE 8, Beyrouth, Liban, pp. 65-72, 2005.
  24. S. Nicolas, T. Paquet, L. Heutte. Un panorama des méthodes syntaxiques pour la segmentation d’images de documents manuscrits. Conférence Internationale Francophone sur l’Ecrit et le Document, CIFED’2004, La Rochelle, France, pp. 237-242, 2004.
  25. A. Bensefia, T. Paquet, L. Heutte. Vérification du scripteur. Conférence Internationale Francophone sur l’Ecrit et le Document, CIFED’2004, La Rochelle, France, pp. 65-70, 2004.
  26. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. Un simulateur de classifieur pour évaluer les méthodes de combinaison. 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA’2004, Toulouse, France, vol. 3, pp. 1461-1470, 2004.
  27. A. Bensefia, T. Paquet, L. Heutte. Identification et vérification du scripteur: 2 approches complémentaires pour l’analyse quantitative des documents manuscrits. 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA’2004, Toulouse, France, vol. 3, pp. 1513-1521, 2004.
  28. G. Koch, L. Heutte, T. Paquet. Extraction de séquences numériques dans des courriers manuscrits. 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA’2004, Toulouse, France, vol. 3, pp. 1503-1511, 2004.
  29. P. Leray, I. Zaarour, L. Heutte, B. El-Eter, J. Labiche, D. Mellier. Réseaux bayésiens pour la découverte de stratégies d’écriture manuscrite chez l’enfant en école primaire. 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA’2004, Toulouse, France, vol. 3, pp. 1135-1142, 2004.
  30. H. Zouari, L. Heutte, Y. Lecourtier. Using diversity measure in building classifier ensembles to examine the effect of classifier agreement on the plurality voting performance. Conférence Internationale Sciences Electroniques, Technologies de l’Information et des Télécommunications, SETIT’2004, Sousse, Tunisie, Proceedings on CD-ROM, 2004.
  31. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. The use of diversity measure for generating classifier ensembles to evaluate the plurality voting performance. Premier Congrès International de Signaux, Circuits et Systèmes, SCS’2004, Monastir, Tunisie, pp. 221-226, 2004.
  32. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. Generating classifier outputs with fixed diversity for evaluating the performance of combination methods. Quatrièmes Journées des Jeunes Chercheurs en Génie Electrique et Informatique, GEI’2004, Monastir, Tunisie, Proceedings on CD-ROM, 2004.
  33. I. Zaarour, L. Heutte, B. Eter, J. Labiche, D. Mellier, M. Zoaeter. Une modélisation probabiliste de l’évolution des stratégies d’écriture des élèves en scolarité primaire. Premier Congrès International sur la Modélisation Numérique Appliquée, CIMNA’2003, Beyrouth, Liban, pp. 383-388, 2003.
  34. A. Bensefia, T. Paquet, L. Heutte. Recherche d’information dans une base de documents manuscrits. Colloque International sur le Document Electronique, CIDE6, Caen, France, pp. 183-197, 2003. [pdf]
  35. A. Nosary, T. Paquet, L. Heutte. Reconnaissance de textes manuscrits par adaptation au scripteur. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2002, Hammamet, Tunisie, pp. 365-374, 2002. [pdf]
  36. A. Nosary, L. Heutte, T. Paquet. Reconnaissance de mots manuscrits par segmentation-reconnaissance: apports d’une reconnaissance lettres par niveau avec rejet. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2002, Hammamet, Tunisie, pp. 355-364, 2002. [pdf]
  37. A. Bensefia, L. Heutte, T. Paquet, A. Nosary. Identification du scripteur par représentation graphèmes. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2002, Hammamet, Tunisie, pp. 285-294, 2002. [pdf]
  38. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. Un bref panorama de la combinaison de classifieurs en reconnaissance de formes. Deuxièmes Journées Scientifiques des Jeunes Chercheurs en Génie Electrique et Informatique, GEI’2002, Hammamet, Tunisie, pp. 12 (actes sur CDROM), 2002.
  39. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi. Un panorama des méthodes de combinaison de classifieurs en reconnaissance de formes. 13ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et d’Intelligence Artificielle, RFIA’2002, Angers, France, vol. 2, pp. 499-508, 2002. [pdf]
  40. T. Paquet, L. Heutte, A. Nosary, Y. Lecourtier. Problématique de la Reconnaissance de l’Ecriture. Communication Multimédia, Premières Rencontres des STI, ASTI’2001, Paris, France, pp. 53 (actes sur CDROM), 2001.
  41. A. Nosary, L. Heutte, T. Paquet, C. Hernoux. Lecture automatique de textes manuscrits basée sur une architecture multi-agents. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2000, Lyon, France, pp. 363-372, 2000. [pdf]
  42. T. Paquet, A. Nosary, L. Heutte, Y. Lecourtier. Apprendre l’écriture du scripteur pour adapter la reconnaissance. 12ème Congrès Francophone AFRIF-RFIA, RFIA’2000, Paris, France, vol. 3, pp. 337-346, 2000. [pdf]
  43. L. Heutte, P. Pereira, O. Bougeois, J.V. Moreau, B. Plessis, P. Courtellemont, Y. Lecourtier. Reconnaissance des montants numériques : Application à la lecture automatique des chèques multi-bancaires. 4ème Colloque National sur l’Ecrit et le Document, AFCET-CNED’96, Nantes, France, pp. 215-222, 1996.
  44. L. Heutte, Y. Lecourtier, J.V. Moreau. Une nouvelle méthode d’extraction de projections et de profils pour la reconnaissance de chiffres manuscrits. Actes du Congrès National sur l’Ecrit et le Document, AFCET-CNED’94, Rouen, France, pp. 1-10, 1994.
  45. J.M. Ogier, L. Heutte, J. Labiche, C. Olivier, Y. Lecourtier. L’analyse de texture : un outil pour la transformation sous forme objet de données cartographiques. Actes du Congrès National sur l’Ecrit et le Document, CNED’92, Bigre n°80, pp. 242-249, 1992.

Thesis

  1. L. Heutte. Analyse et reconnaissance de l’écriture: de nouvelles perspectives en traitement automatique de documents manuscrits. Habilitation à Diriger les Recherches, Université de Rouen, 2003.
  2. L. Heutte. Reconnaissance de caractères manuscrits : Application à la lecture automatique des chèques et des enveloppes postales. Thèse de Doctorat, Université de Rouen, 1994.

Research reports

  1. P.B. Pereira, L. Heutte, J.V. Moreau, P. Courtellemont, Y. Lecourtier. Source-to-source intrumentation of C based languages: Application to the memory optimization of an automatic bank check reading system. Internal Research Report (accepted for communication to the 6th Asian Test Symposium, Akita, Japan), 1997.
  2. P. Pereira, O. Bougeois, L. Heutte, J.L. Plagnaud, B. Plessis, P. Pontevia, T. Prat, A. Sicsu. Lecture automatique des chèques : Analyse algorithmique. Rapport de Recherche, LACCP/REC/00/94203-A0/sg, MATRA CAP Systèmes, 101 p., Novembre 1994.
  3. B. Plessis, A. Sicsu, E. Menu, L. Heutte, J.V. Moreau. CHAIR project phase 1 : Contextual handwritten word recognition – Second interim report. United States Postal Service Report n°2, USPS/REC/00/92174/BP, MATRA CAP Systèmes, 104 p., November 1992.
  4. B. Plessis, A. Sicsu, E. Menu, L. Heutte, P. Pontevia, J.V. Moreau. CHAIR project phase 1 : Contextual handwritten word recognition – First interim report. United States Postal Service Report n°1, USPS/PRJ/00/92004-A0/BP, MATRA CAP Systèmes, 127 p., May 1992.
  5. L. Heutte. Caractérisation et extraction des zones texturées sur les cartes géographiques. Rapport de DEA/DESS, PSI-La3i, 112 p., Septembre 1991.