{"id":22,"date":"2021-05-12T10:58:57","date_gmt":"2021-05-12T08:58:57","guid":{"rendered":"https:\/\/pagesperso.litislab.fr\/lheutte\/?page_id=22"},"modified":"2026-05-05T17:15:41","modified_gmt":"2026-05-05T15:15:41","slug":"publications","status":"publish","type":"page","link":"https:\/\/pagesperso.litislab.fr\/lheutte\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\r\n

Publications in referred journals<\/strong><\/h3>\r\n\r\n\r\n\r\n
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  1. Z. Curi, S. Nicolas, P. Tranouez, J. Saavedra, A. de Souza Britto Jr, L. Heutte. A segmentation-free method for image retrieval and pattern spotting in historical documents using convolutional features<\/strong>. Multimedia Tools and Applications, vol. 84, no. 32, pp. 39635-39665, 2025.<\/li>\r\n
  2. L. Portes Cavalheiroa, S. Bernard, J.P. Barddal, L. Heutte. Random Forest Kernel for High-Dimension Low Sample Size Classification<\/strong>.\u00a0Statistics and Computing, vol. 34, article no9, pp. 1-16, 2024.<\/li>\r\n
  3. H. Lerogeron, R. Picot-Cl\u00e9mente, A. Rakotomamonjy, L. Heutte. Approximating Dynamic Time Warping with a convolutional neural network on EEG data<\/strong>. Pattern Recognition Letters<\/em>, vol. 171, pp. 162-169, 2023.<\/li>\r\n
  4. I. Ubeda, J. Saavedra, S. Nicolas, C. Petitjean, L. Heutte.\u00a0Improving pattern spotting in historical documents using feature pyramid networks<\/strong>.\u00a0Pattern Recognition Letters<\/em>, vol. 131, pp. 398-404, 2020.<\/li>\r\n
  5. H. Cao, S. Bernard, R. Sabourin, L. Heutte.\u00a0Random forest dissimilarity based multi-view learning for radiomics application<\/strong>.\u00a0Pattern Recognition<\/em>, vol. 88, pp. 185-197, 2019.<\/li>\r\n
  6. P.J. Sudharshan, C. Petitjean, F. Spanhol, L. Oliveira, L. Heutte, P. Honeine.\u00a0Multiple instance learning for histopathological breast cancer image classification<\/strong>.\u00a0Expert Systems With Applications<\/em>, vol. 117, pp. 103-111, 2019.<\/li>\r\n
  7. V. Chang, L. Heutte, C. Petitjean, S. H\u00e4rtel, N. Hitschfeld.\u00a0Automatic classification of human sperm head morphology<\/strong>.\u00a0Computers in Biology and Medicine<\/em>, vol. 84, pp. 205-216, 2017.<\/li>\r\n
  8. S. En, S. Nicolas, C. Petitjean, F. Jurie, L. Heutte.\u00a0New public dataset for spotting patterns in medieval document images<\/strong>.\u00a0Journal of Electronic Imaging<\/em>, vol. 26, no. 1, 2017.\u00a0<\/li>\r\n
  9. A. Mendoza Quispe, C. Petitjean, L. Heutte.\u00a0Extreme learning machine for out-of-sample extension in laplacian eigenmaps<\/strong>.\u00a0Pattern Recognition Letters,<\/em>\u00a0vol. 74, pp. 68-73, 2016.<\/li>\r\n
  10. S. En, C. Petitjean, S. Nicolas, L. Heutte.\u00a0A scalable pattern spotting system for historical documents<\/strong>.\u00a0Pattern Recognition<\/em>, vol. 54, pp. 149-161, 2016.<\/li>\r\n
  11. F. Spanhol, L. Oliveira, C. Petitjean, L. Heutte.\u00a0A dataset for breast cancer histopathological image classification<\/strong>.\u00a0IEEE Trans. on Biomedical Engineering<\/em>, vol. 63, no. 7, pp. 1455-1462, 2016.\u00a0<\/li>\r\n
  12. S. Thomas, C. Chatelain, L. Heutte, T. Paquet, Y. Kessentini.\u00a0A deep HMM model for multiple keywords spotting in handwritten documents<\/strong>.\u00a0Pattern Analysis and Applications<\/em>, vol. 18, no. 4, pp. 1003-1015, 2015.<\/li>\r\n
  13. Y. Liang, R.M. Guest, M.C. Fairhurst, L. Heutte, S. Nicolas, A. Burnett, T. Palfray.\u00a0EMMEL: A framework for historical manuscript analysis and presentation<\/strong>.\u00a0Universal Access in the Information Society<\/em>, vol. 13, no. 2, pp. 147-160, 2014.<\/li>\r\n
  14. S. Thomas, C. Chatelain, T. Paquet, L. Heutte.\u00a0Un mod\u00e8le neuro markovien pour l’extraction de s\u00e9quences dans des documents manuscrits<\/strong>.\u00a0Document Num\u00e9rique, Herm\u00e8s<\/em>, vol. 16, no. 2, pp. 49-68, 2013.<\/li>\r\n
  15. C. D\u00e9sir, S. Bernard, C. Petitjean, L. Heutte.\u00a0One Class Random Forests<\/strong>.\u00a0Pattern Recognition<\/em>, vol. 46, no. 12, pp. 3490-3506, 2013.<\/li>\r\n
  16. T. Paquet, L. Heutte, G. Koch, C. Chatelain.\u00a0A categorization system for handwritten documents<\/strong>.\u00a0International Journal of Document Analysis and Recognition<\/em>, vol. 15, no. 4, pp. 315-330, 2012.<\/li>\r\n
  17. C. D\u00e9sir, C. Petitjean, L. Heutte, M. Sala\u00fcn, L. Thiberville.\u00a0Classification of endomicroscopic images of the lung based on random subwindows and extra-trees.<\/strong>\u00a0IEEE Transactions on Biomedical Engineering,<\/em>\u00a0vol. 59, no. 9, pp. 2677-2683, 2012.<\/em><\/li>\r\n
  18. S. Bernard, S. Adam, L. Heutte.\u00a0Dynamic random forests<\/strong>.\u00a0Pattern Recognition Letters<\/em>, vol. 33, no. 12, pp. 1580-1586, 2012.<\/li>\r\n
  19. C. D\u00e9sir, C. Petitjean, L. Heutte, L. Thiberville, M. Sala\u00fcn.\u00a0An SVM-based distal lung image classification using texture descriptors<\/strong>.\u00a0Computerized Medical Imaging and Graphics<\/em>, vol. 36, no. 4, pp. 264-270, 2012.<\/li>\r\n
  20. F. Montreuil, S. Nicolas, L. Heutte, E. Grosicki.\u00a0Int\u00e9gration d\u2019informations textuelles de haut niveau en analyse de structures de documents manuscrits non contraints<\/strong>.\u00a0Document Num\u00e9rique<\/em>, Herm\u00e8s, vol. 14, no. 2, pp. 77-101, 2011.<\/li>\r\n
  21. C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, T. Paquet.\u00a0Non-cost-sensitive SVM training using multiple model selection<\/strong>.\u00a0Journal of Circuits, Systems, and Computers<\/em>, vol. 19, no. 1, pp. 231-242, 2010.<\/li>\r\n
  22. C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, T. Paquet.\u00a0A multi-model selection framework for unknown and\/or evolutive misclassification cost problems<\/strong>.\u00a0Pattern Recognition<\/em>, vol. 43, no. 3, pp. 815-823, 2010.<\/li>\r\n
  23. S. Nicolas, J. Dardenne, T. Paquet, L. Heutte.\u00a0Utilisation de mod\u00e8les markoviens 2D pour la segmentation d’images de documents<\/strong>.\u00a0Revue I3 – Information Interaction Intelligence<\/em>, vol. 8, no. 2, pp. 95-121, 2008.<\/li>\r\n
  24. S. Gl\u00e9nat, L. Heutte, T. Paquet, R. Guest, M. Fairhurst, T. Linnell.\u00a0The development of a computer-assisted tool for the assessment of neuropsychological drawing tasks<\/strong>.\u00a0International Journal of Information Technology and Decision Making<\/em>, vol. 7, no. 4, pp. 751-767, 2008.<\/li>\r\n
  25. W. Jia, B. Ling, K.W. Chau, L. Heutte.\u00a0Palmprint identification using restricted fusion<\/strong>.\u00a0Applied Mathematics and Computation<\/em>, vol. 205, no. 2, pp. 927-934, 2008.<\/li>\r\n
  26. X.F. Wang, D.S. Huang, J.X. Du, H. Xu, L. Heutte.\u00a0Classification of plant leaf images with complicated background<\/strong>.\u00a0Applied Mathematics and Computation<\/em>, vol. 205, no. 2, pp. 916-926, 2008.<\/li>\r\n
  27. U. Garain, S.K. Parui, T. Paquet, L. Heutte.\u00a0Machine dating of manuscripts written by an individual<\/strong>.\u00a0Journal of Electronic Imaging<\/em>, SPIE, vol. 17, no. 1, 2008.<\/li>\r\n
  28. M.C. Fairhurst, T. Linnell, S. Gl\u00e9nat, R.M. Guest, L. Heutte, T. Paquet.\u00a0Developing a generic approach to on-line automated analysis of writing and drawing tests in clinical patient profiling<\/strong>.\u00a0Behavior Research Methods<\/em>, vol. 40, no.1, pp. 290-303, 2008.<\/li>\r\n
  29. A. Wiart, T. Paquet, L. Heutte.\u00a0Detection and recognition of erasures in on-line captured paper forms<\/strong>.\u00a0Pattern Recognition Letters<\/em>, vol. 28, no. 10, pp. 1263-1270, 2007.<\/li>\r\n
  30. C. Chatelain, G. Koch, L. Heutte, T. Paquet.\u00a0Une m\u00e9thode dirig\u00e9e par la syntaxe pour l’extraction de champs num\u00e9riques dans les courriers entrants<\/strong>.\u00a0Traitement du Signal<\/em>, vol. 23, no. 2, pp. 179-198, 2006.<\/li>\r\n
  31. U. Garain, T. Paquet, L. Heutte.\u00a0On foreground-background separation in low quality document images<\/strong>.\u00a0International Journal on Document Analysis and Recognition<\/em>, vol. 8, no. 1, pp. 47-63, 2006.<\/li>\r\n
  32. A. Bensefia, T. Paquet, L. Heutte.\u00a0Identification et v\u00e9rification du scripteur dans des documents manuscrits<\/strong>.\u00a0Traitement du Signal<\/em>, vol. 22, no. 3, pp. 249-259, 2005.<\/li>\r\n
  33. H. Zouari, L. Heutte, Y. Lecourtier.\u00a0Controlling the diversity in classifier ensembles through a measure of agreement<\/strong>.\u00a0Pattern Recognition<\/em>, vol. 38, no. 11, pp. 2195-2199, 2005.<\/li>\r\n
  34. A. Bensefia, T. Paquet, L. Heutte.\u00a0Handwritten document analysis for automatic writer recognition<\/strong>.\u00a0Electronic Letters on Computer Vision and Image Analysis<\/em>, vol. 5, no. 2, pp. 72-86, 2005.<\/li>\r\n
  35. G. Koch, L. Heutte, T. Paquet.\u00a0Automatic extraction of numerical sequences in handwritten incoming mail documents<\/strong>.\u00a0Pattern Recognition Letters<\/em>, vol. 26, no. 8, pp. 1118-1127, 2005.<\/li>\r\n
  36. A. Bensefia, T. Paquet, L. Heutte.\u00a0A writer identification and verification system<\/strong>.\u00a0Pattern Recognition Letters<\/em>, vol. 26, no. 13, pp. 2080-2092, 2005.<\/li>\r\n
  37. I. Zaarour, B. El-Eter, P. Leray, L. Heutte, J. Labiche, D. Mellier, M. Zoater.\u00a0Une mod\u00e9lisation de haut niveau des strat\u00e9gies d’\u00e9criture motrice d’enfants en scolarit\u00e9 primaire : approche bay\u00e9sienne<\/strong>.\u00a0Journal de Physique IV<\/em>, vol. 124, pp. 233-236, 2005.<\/li>\r\n
  38. A. Bensefia, T. Paquet, L. Heutte.\u00a0Writer identification and verification: two complementary approaches for the quantitative analysis of handwritten documents<\/strong>.\u00a0Journal of Forensic Document Examination<\/em>, vol. 16, pp. 57-76, 2004.<\/li>\r\n
  39. I. Zaarour, L. Heutte, Ph. Leray, J. Labiche, B. Eter, D. Mellier.\u00a0Clustering and bayesian network approaches for discovering handwriting strategies of primary school children<\/strong>.\u00a0International Journal of Pattern Recognition and Artificial Intelligence<\/em>, IJPRAI, vol. 18, no. 7, pp. 1233-1251, 2004.<\/li>\r\n
  40. L. Heutte, A. Nosary, T. Paquet.\u00a0A multiple agent architecture for handwritten text recognition<\/strong>.\u00a0Pattern Recognition<\/em>, vol. 37, no. 4, pp. 665-674, 2004.<\/li>\r\n
  41. A. Nosary, L. Heutte, T. Paquet.\u00a0Unsupervised writer adaptation applied to handwritten text recognition<\/strong>.\u00a0Pattern Recognition<\/em>, vol. 37, no. 2, pp. 385-388, 2004.\u00a0<\/li>\r\n
  42. A. Bensefia, T. Paquet, L. Heutte.\u00a0Documents manuscrits et recherche d’information<\/strong>.\u00a0Document Num\u00e9rique<\/em>, Herm\u00e8s, vol. 7, no. 3-4, pp. 47-60, 2003.<\/li>\r\n
  43. P. Pereira, L. Heutte, Y. Lecourtier.\u00a0Source-to-source instrumentation for the optimization of an automatic reading system<\/strong>.\u00a0The Journal of Supercomputing<\/em>, 18(1):89-104, January 2001.<\/li>\r\n
  44. L. Heutte, T. Paquet, J.V. Moreau, Y. Lecourtier, C. Olivier.\u00a0A structural\/statistical feature based vector for handwritten character recognition<\/strong>.\u00a0Pattern Recognition Letters<\/em>, vol. 19, no. 7, pp. 629-641, 1998.<\/li>\r\n
  45. L. Heutte, P. Pereira, O. Bougeois, J.V. Moreau, B. Plessis, P. Courtellemont, Y. Lecourtier.\u00a0Multi-bank check recognition system: Consideration on the numeral amount recognition module<\/strong>.\u00a0International Journal of Pattern Recognition and Artificial Intelligence<\/em>, IJPRAI, vol. 11, no. 4, pp. 595-618, 1997.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

    Book chapters<\/strong><\/h3>\r\n\r\n\r\n\r\n
      \r\n
    1. S. Bernard, H. Cao, R. Sabourin, L. Heutte.\u00a0Random Forest for Dissimilarity-based Multi-view Learning<\/strong>.\u00a0Handbook of Pattern Recognition and Computer Vision (PRCV)<\/em>, 6th Edition for World Scientific Publishing. pp. 119-138, 2020.\u00a0\u00a0<\/li>\r\n
    2. L. Heutte, C. Petitjean, and C. D\u00e9sir.\u00a0Pruning trees in random forests for minimizing non detection in medical imaging<\/strong>.\u00a0Handbook of Pattern Recognition and Computer Vision<\/em>, 5th Edition for World Scientific Publishing, ISBN: 978-981-4656-52-8, pp. 89-107, publication dated January\u00a0 2016.<\/li>\r\n
    3. S. Nicolas, T. Paquet, L. Heutte.\u00a0Document Image Analysis using markovian models: Application to historical documents<\/strong>.\u00a0Advances in Digital Document Processing and Retrieval<\/em>, Statistical Science and Interdisciplinary Research – vol. 13 (B.B. Chaudhuri and S.K. Parui Editors), World Scientific, ISBN 981-4368-70-9, Summer 2012.<\/li>\r\n
    4. L. Heutte, P. Pereira, O. Bougeois, J.V. Moreau, B. Plessis, P. Courtellemont, Y. Lecourtier.\u00a0Multi-bank check recognition system: Consideration on the numeral amount recognition module<\/strong>.\u00a0Automatic Bankcheck Processing<\/em>, 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.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

      Edited conference proceedings<\/strong><\/h3>\r\n\r\n\r\n\r\n
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      1. D.S. Huang, M. McGinnity, L. Heutte, X.P. Zhang (Eds.).\u00a0Advanced Intelligent Computing Theories and Applications – 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings. <\/strong>Communications in Computer and Information Science, 2010, Volume 93, Springer, 575 pages, ISBN: 978-3-642-14830-9.\u00a0[springer]<\/strong><\/a><\/li>\r\n
      2. D.S. Huang, L. Heutte, M. Loog (Eds.).\u00a0Advanced Intelligent Computing Theories and Applications – With Aspects of Theoretical and Methodological Issues.<\/strong>\u00a0Third 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.\u00a0[springer]<\/strong><\/a><\/li>\r\n
      3. D.S. Huang, L. Heutte, M. Loog (Eds.).\u00a0Advanced Intelligent Computing Theories and Applications – With Aspects of Artificial Intelligence.<\/strong>\u00a0Third 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.\u00a0[springer]<\/strong><\/a><\/li>\r\n
      4. D.S. Huang, L. Heutte, M. Loog (Eds.).\u00a0Advanced Intelligent Computing Theories and Applications – With Aspects of Contemporary Intelligent Computing Techniques.<\/strong>\u00a0Third 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.\u00a0[springer]<\/strong><\/a><\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

        Invited talks and keynotes<\/strong><\/h3>\r\n\r\n\r\n\r\n
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        1. L. Heutte.\u00a0Random forests for biomedical data classification<\/strong>. 2017 IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2017, Kuching, Malaysia, Sept. 12-14, 2017.<\/li>\r\n
        2. L. Heutte, T. Paquet, A. Nosary, H. Khoufi.\u00a0Handwritten text recognition through writer adaptation<\/strong>. International Conference on Automatics and Informatics, Sofia, Bulgaria, May 31 – June 2, 2001.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

          Papers in international conferences<\/strong><\/h3>\r\n\r\n\r\n\r\n
            \r\n
          1. J. Assaker, S. Nicolas, L. Heutte. Learning-based sub-image retrieval in historical document images<\/strong>. 27th International Conference on Pattern Recognition, ICPR 2024, Kolkata, India, pp. 137-151, 2024.<\/li>\r\n
          2. H. Lerogeron, R. Picot-Cl\u00e9mente, L. Heutte, A. Rakotomamonjy. Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW<\/strong>. International Neural Network Society Workshop on Deep Learning Innovations and Applications, INNS DLIA 2023, Procedia Computer Science 222 (2023), pp. 448-457, 2023<\/li>\r\n
          3. Z. Curi, S. Nicolas, P. Tranouez, A. Britto, L. Heutte. Image retrieval and pattern spotting on historical documents with binary descriptors<\/strong>. 26th International Conference on Pattern Recognition, ICPR 2022, Montr\u00e9al, Canada, pp. 3893-3899, 2022.<\/li>\r\n
          4. 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<\/strong>. 2022 IEEE International Conference on Systems, Man, and Cybernetics, IEEE-SMC 2022, Prague, Czech Republic, pp. 2869-2875, 2022.<\/li>\r\n
          5. L. Portes Cavalheiro, A. De Souza Britto, J.P. Barddal, L. Heutte. Dynamically selected ensemble for data stream classification<\/strong>. 2021 International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, Proceedings IEEE, pp. 1-7, 2021<\/li>\r\n
          6. H. Cao, S. Bernard, R. Sabourin, L. Heutte.\u00a0A novel random forest dissimilarity measure for multi-view learning<\/strong>. 25th International Conference on Pattern Recognition, ICPR 2020, Milan, Italy, 2020<\/li>\r\n
          7. I. Ubeda, J. Saavedra, S. Nicolas, C. Petitjean, L. Heutte.\u00a0Pattern spotting in historical documents using convolutional models<\/strong>. 5th International Workshop on Historical Document Imaging and Processing, HIP@ICDAR 2019, Sydney, NSW, Australia, pp. 60-65, 2019<\/li>\r\n
          8. K. Wiggers, A. Britto, L. Heutte, A. Koerich, L. Oliveira.\u00a0Image retrieval and pattern spotting using siamese neural network<\/strong>. International Joint Conference on Neural Networks 2019, IJCNN2019, Budapest, Hungary, pp. 1-8, 2019.\u00a0<\/li>\r\n
          9. W. Jradi, M. Messaadia, A. Louis, L. Heutte.\u00a0Analysis of items recommendations methods for heritage sites<\/strong>. 2018 IEEE\u00a0 International\u00a0 Conference\u00a0 on\u00a0 Metrology\u00a0 for\u00a0 Archaeology\u00a0 and\u00a0 Cultural\u00a0 Heritage – MetroArchaeo2018, Cassino, Italy, pp. 522-526, 2018.<\/li>\r\n
          10. H. Cao, S. Bernard, L. Heutte, R. Sabourin.\u00a0Dynamic voting in multi-view learning for radiomics applications<\/strong>. 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.<\/li>\r\n
          11. H. Cao, S. Bernard, L. Heutte, R. Sabourin.\u00a0Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images<\/strong>. 15th International Conference on Image Analysis and Recognition, ICIAR 2018, Povoa de Varzim, Portugal, LNCS, vol. 10882, Springer, pp. 779-787, June 2018.<\/li>\r\n
          12. K. Wiggers, A. Britto, L. Heutte, A. Koerich, L. Oliveira.\u00a0Document image retrieval using deep features<\/strong>. 2018 International Joint Conference on Neural Networks, IJCNN2018, Rio de Janeiro, Brazil, pp. 1-8, 2018.<\/li>\r\n
          13. H. Cao, S. Bernard, L. Heutte, R. Sabourin.\u00a0Dissimilarity-based representation for radiomics applications<\/strong>. First International Conference on Pattern Recognition and Artificial Intelligence 2018, ICPRAI 2018, Montr\u00e9al, Canada, pp. 53-59, 2018.<\/li>\r\n
          14. F. Spanhol, P. Cavalin, L. Oliveira, C. Petitjean, L. Heutte.\u00a0Deep features for breast cancer histopathological image classification<\/strong>. 2017 IEEE International Conference on Systems, Man, and Cybernetics, IEEE SMC 2017, Banff, Canada, pp. 1868-1873, 2017.<\/li>\r\n
          15. S. En, C. Petitjean, S. Nicolas, L. Heutte, F. Jurie.\u00a0Pattern localization in historical document images via template matching<\/strong>. 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, pp. 2054-2059, 2016.<\/li>\r\n
          16. S. En, C. Petitjean, S. Nicolas, F. Jurie, L. Heutte.\u00a0Region proposal for pattern spotting in historical document images<\/strong>. 15th International Conference on Frontiers in Handwriting Recognition, ICFHR 2016, Shenzhen, China, pp. 367-372, 2016.<\/li>\r\n
          17. F. Spanhol, L. Oliveira, C. Petitjean, L. Heutte.\u00a0Breast cancer histopathological image classification using convolutional neural networks<\/strong>. 2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, Canada, pp. 2560-2567, 2016.<\/li>\r\n
          18. S. En, C. Petitjean, S. Nicolas, L. Heutte.\u00a0Segmentation-free pattern spotting in historical document images<\/strong>. 13th International Conference on Document Analysis and Recognition, ICDAR 2015, Tunis, Tunisia, IEEE Computer Society, pp. 606-610, 2015.<\/li>\r\n
          19. S. En, F. Jurie, S. Nicolas, C. Petitjean, L. Heutte.\u00a0Linear discriminant analysis for zero-shot learning image retrieval.<\/strong>\u00a010th International Conference on Computer Vision Theory and Applications, VISAPP 2015, Berlin, Germany, vol. 2, pp. 70-77, 2015.<\/li>\r\n
          20. V. Dovgalecs, A. Burnett, P. Tranouez, S. Nicolas, L. Heutte.\u00a0Spot it! Finding words and patterns in historical documents<\/strong>. 12th International Conference on Document Analysis and Recognition, ICDAR 2013, Washington DC, USA, IEEE Computer Society, pp. 1039-1043, 2013.<\/li>\r\n
          21. C. D\u00e9sir, S. Bernard, C. Petitjean, L. Heutte.\u00a0A new random forest method for one class classification<\/strong>. IAPR International Workshop on Statistical Techniques in Pattern Recognition, SPR 2012, Hiroshima, Japan, G.L. Gimel\u2019 farb et al. (Eds.): SSPR & SPR 2012, LNCS 7626, pp. 282\u2013290, 2012.\u00a0<\/li>\r\n
          22. C. D\u00e9sir, S. Bernard, C. Petitjean, L. Heutte.\u00a0A random forest based approach for one class classification in medical imaging<\/strong>. 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.<\/li>\r\n
          23. P. Tranouez, S. Nicolas, V. Dovgalecs, A. Burnett, L. Heutte, Y. Liang, R. Guest, M. Fairhurst.\u00a0DocExplore: Overcoming cultural and physical barriers to access ancient documents<\/strong>. 2012 ACM Symposium on Document Engineering, DocEng 2012, Paris, France, pp. 205-208, 2012.<\/li>\r\n
          24. D. H\u00e9bert, C. D\u00e9sir, C. Petitjean, L. Heutte, L. Thiberville.\u00a0Detection of pathological condition in distal lung images<\/strong>. IEEE International Symposium on Biomedical Imaging, ISBI 2012, Barcelona, Spain, pp. 1603-1606, May 2012.<\/li>\r\n
          25. C. Petitjean, C. D\u00e9sir, L. Thiberville, G. Lettier, L. Heutte.\u00a0Manual vs. automatic classification of endomicroscopic images of the distal lung<\/strong>. 25th International Congress and Exhibition on Computer Assisted Radiology and Surgery, CARS 2011, Berlin, Germany, June 2011.<\/li>\r\n
          26. F. Montreuil, E. Grosicki, S. Nicolas, L. Heutte.\u00a0A new hierarchical handwritten document layout extraction based on conditional random field modeling<\/strong>. 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010, Kolkata, India, IEEE Proceedings, pp. 31-36, 2010.<\/li>\r\n
          27. S. Thomas, C. Chatelain, L. Heutte, T. Paquet.\u00a0Alpha-numerical sequences extraction in handwritten documents<\/strong>. 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010, Kolkata, India, IEEE Proceedings, pp. 232-237, 2010.<\/li>\r\n
          28. S. Bernard, L. Heutte, S. Adam.\u00a0A study of strength and correlation in random forests<\/strong>. 2010 International Conference on Intelligent Computing, ICIC 2010, Changsha, China, Communications in Computer and Information Science, Springer, vol. 93, pp. 186-191, 2010.<\/li>\r\n
          29. C. D\u00e9sir, C. Petitjean, L. Heutte, L. Thiberville.\u00a0Using a priori knowledge to classify in vivo images of the lung<\/strong>. 2010 International Conference on Intelligent Computing, ICIC 2010, Changsha, China, LNCS 6216, Springer, pp. 207-212, 2010.<\/li>\r\n
          30. K. Ait-Mohand, T. Paquet, N. Ragot, L. Heutte.\u00a0Structure adaptation of Hidden Markov Models applied to OCR<\/strong>. 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, IEEE Proceedings, pp. 2877-2880, 2010.<\/li>\r\n
          31. S. Thomas, C. Chatelain, L. Heutte, T. Paquet.\u00a0An Information Extraction model for unconstrained handwritten documents<\/strong>. 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, IEEE Proceedings, pp. 3412-3415, 2010.<\/li>\r\n
          32. K. Ait-Mohand, L. Heutte, T. Paquet, N. Ragot.\u00a0Font adaptation of an HMM-based OCR system<\/strong>. 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.<\/li>\r\n
          33. S. Bernard, L. Heutte, S. Adam.\u00a0Towards a better understanding of random forests through the study of strength and correlation<\/strong>. 2009 International Conference on Intelligent Computing, ICIC 2009, Ulsan, Korea, LNAI 5755, Springer, pp. 536-545, 2009.<\/li>\r\n
          34. A. Saint-R\u00e9quier, B. Lelandais, C. Petitjean, C. D\u00e9sir, L. Heutte, M. Sala\u00fcn, L. Thiberville.\u00a0Characterization of endomicroscopic images of the distal lung for computer-aided diagnosis<\/strong>. 2009 International Conference on Intelligent Computing, ICIC 2009, Ulsan, Korea, LNCS 5754, Springer, pp. 994-1003, 2009.<\/li>\r\n
          35. C. Petitjean, C. D\u00e9sir, M. Sala\u00fcn, L. Thiberville, L. Heutte.\u00a0Automatic classification of in-vivo distal lung images for computer-aided diagnosis<\/strong>. Medical Image Understanding and Analysis 2009, MIUA 2009, Proc. of the 13th Annual Conference, London, UK, pp. 99-103, 2009.<\/li>\r\n
          36. F. Montreuil, E. Grosicki, L. Heutte, S. Nicolas.\u00a0Unconstrained handwritten document layout extraction using 2D conditional random fields<\/strong>. 10th International Conference on Document Analysis and Recognition, ICDAR 2009, Barcelona, Spain, IEEE Proceedings, pp. 853-857, 2009.<\/li>\r\n
          37. S. Bernard, L. Heutte, S. Adam.\u00a0Influence of Hyperparameters on Random Forest Accuracy<\/strong>. 8th International Workshop on Multiple Classifier Systems, MCS 2009, Reykjavik, Iceland, LNCS 5519, Springer, pp. 171-180, 2009.<\/li>\r\n
          38. C. Petitjean, R. Kouadio, L. Heutte, V. Delcourt.\u00a0Automatic Dropper Extraction in Catenary Scenes<\/strong>. 4th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2009, P\u00f3voa de Varzim, Portugal, LNCS 5524, Springer, pp. 225-232, 2009.<\/li>\r\n
          39. C. Petitjean, J. Benoist, L. Thiberville, M. Sala\u00fcn, L. Heutte.\u00a0Classification of In-vivo Endomicroscopic Images of the Alveolar Respiratory System<\/strong>. IAPR Conference on Machine Vision Applications 2009, MVA 2009, Yokohama, Japan, pp. 471-474, 2009.<\/li>\r\n
          40. C. Petitjean, L. Heutte, R. Kouadio, V. Delcourt.\u00a0Automatic Extraction of Droppers in Catenary Scenes<\/strong>. IAPR Conference on Machine Vision Applications 2009, MVA 2009, Yokohama, Japan, pp. 497-500, 2009.<\/li>\r\n
          41. S. Bernard, L. Heutte, S. Adam.\u00a0On the Selection of Decision Trees in Random Forests<\/strong>. 2009 International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, USA, IEEE Proceedings, pp. 302-307, 2009.<\/li>\r\n
          42. S. Bernard, L. Heutte, S. Adam.\u00a0Forest-RK: A new random forest induction method<\/strong>. 2008 International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, LNCS 5227, Springer, pp. 430-437, 2008.<\/li>\r\n
          43. S. Nicolas, L. Heutte, T. Paquet.\u00a0Authorial manuscript image analysis using markovian models: the Bovary project<\/strong>. 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 2008.<\/li>\r\n
          44. F. Montreuil, R. Kouadio, C. Petitjean, L. Heutte, V. Delcourt.\u00a0Automatic extraction of information for catenary scene analysis<\/strong>. 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, August 2008.<\/li>\r\n
          45. C. Chatelain, L. Heutte, T. Paquet.\u00a0Recognition-based vs syntax-directed models for numerical field extraction in handwritten documents<\/strong>. 11th International Conference on Frontiers in Handwriting Recognition, ICFHR 2008, Montreal, Canada, pp. 159-164, 2008.<\/li>\r\n
          46. S. Nicolas, T. Paquet, L. Heutte.\u00a02D markovian models for document structure analysis<\/strong>. 11th International Conference on Frontiers in Handwriting Recognition, ICFHR 2008, Montreal, Canada, pp. 658-663, 2008.<\/li>\r\n
          47. C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, T. Paquet.\u00a0Multi-objective optimization for SVM model selection<\/strong>. 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, IEEE Proceedings, pp. 427-431, 2007.<\/li>\r\n
          48. U. Garain, S. Parui, T. Paquet, L. Heutte.\u00a0Machine dating of handwritten manuscripts<\/strong>. 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, IEEE Proceedings, pp. 759-763, 2007.<\/li>\r\n
          49. S. Bernard, S. Adam, L. Heutte.\u00a0Using random forests for handwritten digit recognition<\/strong>. 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, IEEE Proceedings, pp. 1043-1047, 2007.<\/li>\r\n
          50. S. Nicolas, T. Paquet, L. Heutte.\u00a0Document image segmentation using a 2D conditional random field model<\/strong>. 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, IEEE Proceedings, pp. 407-411, 2007.<\/li>\r\n
          51. C. Chatelain, L. Heutte, T. Paquet.\u00a0Discrimination between digits and outliers in handwritten documents applied to the extraction of numerical fields<\/strong>. 10th International Workshop on Frontiers in Handwriting Recognition, IWFHR-10, La Baule, France, pp. 475-480, 2006.<\/li>\r\n
          52. A. Wiart, T. Paquet, L. Heutte.\u00a0Erasure extraction in on-line captured paper forms<\/strong>. 10th International Workshop on Frontiers in Handwriting Recognition, IWFHR-10, La Baule, France, pp. 47-52, 2006.<\/li>\r\n
          53. S. Nicolas, T. Paquet, L. Heutte.\u00a0Markov random field models to extract the layout of complex handwritten documents<\/strong>. 10th International Workshop on Frontiers in Handwriting Recognition, IWFHR-10, La Baule, France, pp. 563-568, 2006.<\/li>\r\n
          54. H. Zouari, L. Heutte, Y. Lecourtier.\u00a0Experimental comparison of combination rules using simulated data<\/strong>. 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, IEEE Proceedings, vol. 3, pp. 152-155, 2006.<\/li>\r\n
          55. S. Nicolas, T. Paquet, L. Heutte.\u00a0A markovian approach for handwritten document segmentation<\/strong>. 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, IEEE Proceedings, vol. 3, pp. 292-295, 2006.<\/li>\r\n
          56. C. Chatelain, L. Heutte, T. Paquet.\u00a0A two stage outlier rejection strategy for numerical field extraction in handwritten documents<\/strong>. 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, IEEE Proceedings, vol. 3, pp. 224-227, 2006.<\/li>\r\n
          57. S. Nicolas, T. Paquet, L. Heutte.\u00a0Complex handwritten page segmentation using contextual models<\/strong>. 2nd IEEE International Conference on Document Image Analysis for Libraries, DIAL 2006, Lyon, France, IEEE Proceedings, pp. 46-57, 2006.<\/li>\r\n
          58. C. Chatelain, L. Heutte, T. Paquet.\u00a0Segmentation-driven recognition applied to numerical field extraction from handwritten incoming mail documents<\/strong>. 7th IAPR Workshop on Document Analysis Systems, DAS 2006, Nelson, New Zealand, LNCS 3872, Springer, pp. 564-575, 2006.<\/li>\r\n
          59. U. Garain, T. Paquet, L. Heutte.\u00a0On foreground-background separation in low quality color document images<\/strong>. 8th International Conference on Document Analysis and Recognition, ICDAR’2005, Seoul, Korea, IEEE Proceedings, pp. 585-589, 2005.<\/li>\r\n
          60. S. Nicolas, Y. Kessentini, T. Paquet, L. Heutte.\u00a0Handwritten document segmentation using hidden markov random fields<\/strong>. 8th International Conference on Document Analysis and Recognition, ICDAR’2005, Seoul, Korea, IEEE Proceedings, pp. 212-216, 2005.<\/li>\r\n
          61. S. Gl\u00e9nat, L. Heutte, T. Paquet, D. Mellier.\u00a0Computer-based diagnosis of dyspraxia: the MEDDRAW project<\/strong>. 12th Conference of the International Graphonomics Society, IGS’2005, Salerno, Italy, pp. 49-53, 2005.<\/li>\r\n
          62. H. Zouari, L. Heutte, Y. Lecourtier.\u00a0Using diversity measure in building classifier ensembles for combination method analysis<\/strong>. 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.<\/li>\r\n
          63. C. Chatelain, L. Heutte, T. Paquet.\u00a0A syntax-directed method for numerical field extraction using classifier combination<\/strong>. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 93-98, 2004.<\/li>\r\n
          64. A. Bensefia, T. Paquet, L. Heutte.\u00a0Handwriting analysis for writer verification<\/strong>. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 196-201, 2004.<\/li>\r\n
          65. S. Nicolas, T. Paquet, L. Heutte.\u00a0Text line segmentation in handwritten documents using a production system<\/strong>. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 245-250, 2004.<\/li>\r\n
          66. G. Koch, T. Paquet, L. Heutte.\u00a0Combination of contextual information for handwritten word recognition<\/strong>. 9th IAPR International Workshop on Frontiers in Handwriting Recognition, IWFHR’2004, Tokyo, Japan, IEEE Proceedings, pp. 468-473, 2004.<\/li>\r\n
          67. S. Nicolas, T. Paquet, L. Heutte.\u00a0Enriching historical manuscripts: the Bovary project<\/strong>. Document Analysis Systems VI, Lecture Notes in Computer Science, Springer, LNCS 3163, pp. 135-146, 2004.<\/li>\r\n
          68. I. Zaarour, P. Leray, L. Heutte, B. Eter, J. Labiche, D. Mellier, M. Zoaeter.\u00a0Modelling of handwriting prototypes in graphonomics : Bayesian network approach<\/strong>. 5th EUROSIM Congress on Modelling and Simulation, EUROSIM’04, Marne-la-Vall\u00e9e, France, pp. 78 (Proceedings on CD-ROM), 2004.<\/li>\r\n
          69. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0Simulating classifier ensembles of fixed diversity for studying plurality voting performance<\/strong>. 17th International Conference on Pattern Recognition, ICPR’2004, Cambridge, UK, IEEE Proceedings, vol. 1, pp. 232-235, 2004.<\/li>\r\n
          70. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0Generating classifier outputs with fixed diversity for evaluating voting methods<\/strong>. Structural, Syntactic and Statistical Pattern Recognition, Lecture Notes in Computer Science, Springer, LNCS 3138, pp. 1001-1009, 2004.<\/li>\r\n
          71. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0Building diverse classifier outputs to evaluate the behavior of combination methods: the case of two classifiers<\/strong>. Multiple Classifier Systems, Lecture Notes in Computer Science, Springer, LNCS 3077, pp. 237-282, 2004.<\/li>\r\n
          72. S. Nicolas, T. Paquet, L. Heutte.\u00a0Digitizing cultural heritage manuscripts: the Bovary project<\/strong>. ACM Symposium on Document Engineering, ACM Doc Eng 2003, Grenoble, France, pp. 55-57, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          73. I. Zaarour, L. Heutte, B. El-Eter, J. Labiche, D. Mellier, P. Leray, M. Zoaeter.\u00a0A probabilistic modeling of the writing strategies evolution for pupils in primary education<\/strong>. 11th Conference of the International Graphonomics Society, IGS’2003, Scottsdale, Arizona, pp. 174-177, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          74. I. Zaarour, P. Leray, L. Heutte, B. El-Eter, J. Labiche, D. Mellier.\u00a0A bayesian network model for discovering handwriting strategies of primary school children<\/strong>. 11th Conference of the International Graphonomics Society, IGS’2003, Scottsdale, Arizona, pp. 178-181, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          75. A. Bensefia, T. Paquet, L. Heutte.\u00a0Information retrieval based writer identification<\/strong>. 11th Conference of the International Graphonomics Society, IGS’2003, Scottsdale, Arizona, pp. 320-323, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          76. A. Bensefia, T. Paquet, L. Heutte.\u00a0Grapheme based writer verification<\/strong>. 11th Conference of the International Graphonomics Society, IGS’2003, Scottsdale, Arizona, pp. 274-277, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          77. P. Leray, I. Zaarour, L. Heutte, B. El-Eter, J. Labiche, D. Mellier.\u00a0A bayesian model for discovering handwriting strategies of primary school children<\/strong>. Workshop on Probabilistic Graphical Models for Classification, ECML\/PKDD-2003, Cavtat-Dubrovnik, Croatia, pp. 49-57, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          78. I. Zaarour, P. Leray, D. Mellier, J. Labiche, L. Heutte.\u00a0Graphomotor strategies models and their evolution at the primary school: approach by bayesian networks<\/strong>. Progress in Motor Control IV: Motor Control and Learning over the Life Span, Caen, France, pp. 174, 2003.<\/li>\r\n
          79. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0A new classifier simulator for evaluating parallel combination methods<\/strong>. Seventh International Conference on Document Analysis and Recognition, ICDAR’2003, Edinburgh, UK, IEEE Proceedings, vol. 1, pp. 26-30, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          80. A. Bensefia, T. Paquet, L. Heutte.\u00a0Writer identification using an information retrieval paradigm<\/strong>. Seventh International Conference on Document Analysis and Recognition, ICDAR’2003, Edinburgh, UK, IEEE Proceedings, vol. 2, pp. 946-950, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          81. G. Koch, L. Heutte, T. Paquet.\u00a0Numerical sequence extraction in handwritten incoming mail documents<\/strong>. Seventh International Conference on Document Analysis and Recognition, ICDAR’2003, Edinburgh, UK, IEEE Proceedings, vol. 1, pp. 369-373, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          82. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0Simulating classifier outputs for evaluating parallel combination methods<\/strong>. Multiple Classifier Systems, Lecture Notes in Computer Science, Springer, LNCS 2709, pp. 296-305, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          83. A. Bensefia, T. Paquet, L. Heutte.\u00a0Information retrieval based writer identification<\/strong>. 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.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          84. G. Koch, L. Heutte, T. Paquet.\u00a0Numerical field extraction in handwritten incoming mail documents<\/strong>. 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.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          85. A. Nosary, T. Paquet, L. Heutte, A. Bensefia.\u00a0Handwritten text recognition through writer adaptation<\/strong>. 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR’02, Niagara-on-the-Lake, Canada, IEEE Proceedings, pp. 363-368, 2002.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          86. A. Bensefia, A. Nosary, T. Paquet, L. Heutte.\u00a0Writer identification by writer’s invariants<\/strong>. 8th International Workshop on Frontiers in Handwriting Recognition, IWFHR’02, Niagara-on-the-Lake, Canada, IEEE Proceedings, pp. 274-279, 2002.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          87. L. Heutte, T. Paquet, A. Nosary, C. Hernoux.\u00a0Handwritten text recognition using a multiple-agent architecture to adapt the recognition task<\/strong>. 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.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          88. A. Nosary, L. Heutte, T. Paquet, Y. Lecourtier.\u00a0Defining writer’s invariants to adapt the recognition task<\/strong>. 5th International Conference on Document Analysis and Recognition, ICDAR’99, Bangalore, India, pp. 765-768, 1999.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          89. A. Nosary, L. Heutte, T. Paquet, Y. Lecourtier.\u00a0A step towards the use of writer’s properties for text recognition<\/strong>. 3rd IEE European Workshop on Handwriting Analysis and Recognition, IEE-EWHAR’98, Brussels, Belgium, pp. 16\/1-16\/6, 1998.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
          90. P. Pereira, L. Heutte, J.V. Moreau, P. Courtellemont, Y. Lecourtier.\u00a0Instrumenting C based languages for system address tracing: Application to the memory optimization of an automatic bank check reading system<\/strong>. 11th Annual International Symposium on High Performance Computing Systems, HPCS’97, Winnipeg, Canada, K. Barker Editor, pp. 529-538, 1997.<\/li>\r\n
          91. L. Heutte, J.V. Moreau, T. Paquet, Y. Lecourtier, C. Olivier.\u00a0Combining structural and statistical features for the recognition of handwritten characters<\/strong>. 13th International Conference on Pattern Recognition, IAPR-ICPR’96, Vienna, Austria, IEEE Proceedings, vol. 2, pp. 210-214, 1996.<\/li>\r\n
          92. P. Pereira, L. Heutte, O. Bougeois, J.V. Moreau, B. Plessis, P. Courtellemont, Y. Lecourtier.\u00a0Numeral amount recognition on multi-bank checks<\/strong>. 13th International Conference on Pattern Recognition, IAPR-ICPR’96, Vienna, Austria, IEEE Proceedings, vol. 3, pp. 165-169, 1996.<\/li>\r\n
          93. L. Heutte, J.V. Moreau, B. Plessis, J.L. Plagnaud, Y. Lecourtier.\u00a0Handwritten numeral recognition based on multiple feature extractors<\/strong>. 2nd IAPR International Conference on Document Analysis and Recognition, IAPR-ICDAR’93, Tsukuba, Japan, IEEE Proceedings, pp. 167-170, 1993.<\/li>\r\n
          94. B. Plessis, A. Sicsu, L. Heutte, E. Menu, E. Lecolinet, O. Debon, J.V. Moreau.\u00a0A multi-classifier combination strategy for the recognition of handwritten cursive words<\/strong>. 2nd IAPR International Conference on Document Analysis and Recognition, IAPR-ICDAR’93, Tsukuba, Japan, IEEE Proceedings, pp. 642-645, 1993.<\/li>\r\n
          95. L. Heutte, J.V. Moreau, Y. Lecourtier.\u00a0A new feature extraction strategy for handwritten pseudo-character recognition based on multiple feature extractors<\/strong>. 6th IGS International Conference on Handwriting and Drawing, IGS-ICOHD’93, Paris, France, pp. 186-188, 1993.<\/li>\r\n
          96. L. Heutte, J.M. Ogier, Y. Lecourtier, C. Olivier.\u00a0Road and texture extraction : two aspects of automatic map treatment<\/strong>. 11th IAPR International Conference on Pattern Recognition, IAPR-ICPR’92, The Hague, The Netherlands, IEEE Proceedings, vol. 3, pp. 109-112, 1992.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

            Papers in french-speaking conferences<\/strong><\/h3>\r\n\r\n\r\n\r\n
              \r\n
            1. J. Assaker, S. Nicolas, L. Heutte. Recherche de patterns dans les images de documents historiques<\/strong>. Reconnaissance des Formes, Image, Apprentissage et Perception, RFIAP 2024, Lille, France, pp. 1-9, 2024.<\/li>\r\n
            2. H. Cao, S. Bernard, R. Sabourin, L. Heutte.\u00a0Pond\u00e9ration dynamique en apprentissage multi-vues pour des applications radiomics<\/strong>. CAp 2018, Rouen, France, 2018.<\/li>\r\n
            3. S. En, C. Petitjean, S. Nicolas, L. Heutte.\u00a0D\u00e9tection de motifs graphiques dans des images de documents anciens<\/strong>. GRETSI 2015, Lyon, France, 2015.<\/li>\r\n
            4. S. Thomas, C. Chatelain, T. Paquet, L. Heutte.\u00a0Combinaison architecture profonde \/ HMM pour l’extraction de s\u00e9quences dans des documents manuscrits<\/strong>. Colloque International Francophone sur l’\u00c9crit et le Document, CIFED 2012, Bordeaux, France, mars 2012.<\/li>\r\n
            5. K. Ait-Mohand, T. Paquet, L. Heutte, N. Ragot.\u00a0Adaptation de mod\u00e8les de Markov cach\u00e9s – Application \u00e0 la reconnaissance de caract\u00e8res imprim\u00e9s<\/strong>. Colloque International Francophone sur l’\u00c9crit et le Document, CIFED 2010, Sousse, Tunisie, pp. 83-94, 2010.<\/li>\r\n
            6. S. Thomas, L. Heutte, T. Paquet, C. Chatelain.\u00a0Un syst\u00e8me g\u00e9n\u00e9rique d’extraction d’information dans des documents manuscrits non-contraints<\/strong>. Colloque International Francophone sur l’\u00c9crit et le Document, CIFED 2010, Sousse, Tunisie, pp. 367-378, 2010.<\/li>\r\n
            7. F. Montreuil, E. Grosicki, S. Nicolas, L. Heutte.\u00a0Apport d’une information textuelle pour l’extraction de structures de documents manuscrits<\/strong>. Colloque International Francophone sur l’\u00c9crit et le Document, CIFED 2010, Sousse, Tunisie, pp. 281-296, 2010.<\/li>\r\n
            8. K. Ait-Mohand, L. Heutte, T. Paquet, N. Ragot.\u00a0Adaptation d’un syst\u00e8me d’OCR Markovien \u00e0 de nouvelles fontes<\/strong>. 17\u00e8me congr\u00e8s francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA 2010, Caen, France, janvier 2010.<\/li>\r\n
            9. B. Lelandais, C. D\u00e9sir, C. Petitjean, L. Heutte, L. Thiberville.\u00a0Classification d\u2019images alv\u00e9oscopiques par extra-trees<\/strong>. 17\u00e8me congr\u00e8s francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA 2010, Caen, France, janvier 2010.<\/li>\r\n
            10. F. Montreuil, E. Grosicki, S. Nicolas, L. Heutte.\u00a0Extraction de structure de documents manuscrits non contraints par champs al\u00e9atoires conditionnels 2D<\/strong>. XXIIe Colloque GRETSI, GRETSI 2009, Dijon, France, septembre 2009.<\/li>\r\n
            11. C. Petitjean, J. Benoist, L. Thiberville, M. Sala\u00fcn, L. Heutte.\u00a0Classification d\u2019images endomicroscopiques du syst\u00e8me respiratoire alv\u00e9olaire<\/strong>. XXIIe Colloque GRETSI, GRETSI 2009, Dijon, France, septembre 2009.<\/li>\r\n
            12. C. Petitjean, L. Heutte, V. Delcourt, R. Kouadio.\u00a0Extraction automatique de pendules dans des images de cat\u00e9naire<\/strong>. XXIIe Colloque GRETSI, GRETSI 2009, Dijon, France, septembre 2009.<\/li>\r\n
            13. M. Oueslati, H. Khoufi Zouari, M. Maddouri, L. Heutte.\u00a0Etude de la combinaison de classifieurs dans le cadre du boosting<\/strong>. 6\u00e8me \u00e9dition des ateliers de travail sur le Traitement et l’Analyse de l\u2019Information: M\u00e9thodes et Applications, TAIMA’2009, Hammamet, Tunisie, mai 2009.<\/li>\r\n
            14. S. Bernard, L. Heutte, S. Adam.\u00a0Etude de l’Influence des Hyperparam\u00e8tres sur les Performances des For\u00eats Al\u00e9atoires<\/strong>. XI\u00e8me Conf\u00e9rence francophone sur l’Apprentissage Artificiel, CAP 2009, Hammamet, Tunisie, pp. 81-92, 2009.<\/li>\r\n
            15. L. Heutte, S. Bernard, S. Adam, E. Oliveira.\u00a0De la s\u00e9lection d’arbres dans les for\u00eats al\u00e9atoires<\/strong>. Colloque International Francophone sur l’Ecrit et le Document, CIFED 2008, Rouen, France, pp. 163-168, 2008.<\/li>\r\n
            16. S. Bernard, L. Heutte, S. Adam.\u00a0Etude de l’influence des param\u00e8tres sur les performances des for\u00eats al\u00e9atoires<\/strong>. Colloque International Francophone sur l’Ecrit et le Document, CIFED 2008, Rouen, France, pp. 207-208, 2008.<\/li>\r\n
            17. C. Chatelain, S. Adam, Y. Lecourtier, L. Heutte, Y. Oufella, T. Paquet.\u00a0Optimisation multi-objectif pour la s\u00e9lection de mod\u00e8les SVM<\/strong>. 16\u00e8me congr\u00e8s francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA 2008, Amiens, France, pp. 490-497, 2008.<\/li>\r\n
            18. S. Nicolas, J. Dardenne, T. Paquet, L. Heutte.\u00a0Un mod\u00e8le de champs al\u00e9atoire conditionnel 2D appliqu\u00e9 \u00e0 la segmentation d’images de documents<\/strong>. 16\u00e8me congr\u00e8s francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA 2008, Amiens, France, pp. 304-312, 2008.<\/li>\r\n
            19. C. Chatelain, L. Heutte, T. Paquet.\u00a0Discrimination chiffre\/rejet pour l’extraction de champs num\u00e9riques dans des documents manuscrits<\/strong>. 9\u00e8me Colloque Francophone sur l’Ecrit et le Document, CIFED 2006, Fribourg, Suisse, pp. 55-60, 2006.<\/li>\r\n
            20. A. Wiart, T. Paquet, L. Heutte.\u00a0Localisation des ratures dans les formulaires papier num\u00e9ris\u00e9s en ligne<\/strong>. 9\u00e8me Colloque Francophone sur l’Ecrit et le Document, CIFED 2006, Fribourg, Suisse, pp. 169-174, 2006.<\/li>\r\n
            21. S. Nicolas, T. Paquet, L. Heutte.\u00a0Extraction de la structure de documents manuscrits complexes \u00e0 l’aide de champs markoviens<\/strong>. 9\u00e8me Colloque Francophone sur l’Ecrit et le Document, CIFED 2006, Fribourg, Suisse, pp. 13-18, 2006.<\/li>\r\n
            22. C. Chatelain, L. Heutte, T. Paquet.\u00a0Reconnaissance de champs num\u00e9riques dans des documents manuscrits<\/strong>. 15\u00e8me Congr\u00e8s Francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA 2006, Tours, France, pp. 45 (actes sur CDROM), 2006.<\/li>\r\n
            23. C. Chatelain, L. Heutte, T. Paquet.\u00a0Extraction automatique de champs num\u00e9riques dans des documents manuscrits<\/strong>. 6\u00e8mes Journ\u00e9es Francophones d’Extraction et Gestion des Connaissances, EGC 2006, Villeneuve d’Ascq, France, vol.1, pp. 23-34, 2006.<\/li>\r\n
            24. I. Zaarour, Z. Saliha, L. Heutte, D. Mellier.\u00a0Acquisition et comparaison en ligne de l’\u00e9criture d’enfants bilingues<\/strong>. 8\u00e8me Colloque International sur le Document Num\u00e9rique, CIDE 8, Beyrouth, Liban, pp. 65-72, 2005.<\/li>\r\n
            25. S. Nicolas, T. Paquet, L. Heutte.\u00a0Un panorama des m\u00e9thodes syntaxiques pour la segmentation d’images de documents manuscrits<\/strong>. Conf\u00e9rence Internationale Francophone sur l’Ecrit et le Document, CIFED’2004, La Rochelle, France, pp. 237-242, 2004.<\/li>\r\n
            26. A. Bensefia, T. Paquet, L. Heutte.\u00a0V\u00e9rification du scripteur<\/strong>. Conf\u00e9rence Internationale Francophone sur l’Ecrit et le Document, CIFED’2004, La Rochelle, France, pp. 65-70, 2004.<\/li>\r\n
            27. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0Un simulateur de classifieur pour \u00e9valuer les m\u00e9thodes de combinaison<\/strong>. 14\u00e8me Congr\u00e8s Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA’2004, Toulouse, France, vol. 3, pp. 1461-1470, 2004.<\/li>\r\n
            28. A. Bensefia, T. Paquet, L. Heutte.\u00a0Identification et v\u00e9rification du scripteur: 2 approches compl\u00e9mentaires pour l’analyse quantitative des documents manuscrits<\/strong>. 14\u00e8me Congr\u00e8s Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA’2004, Toulouse, France, vol. 3, pp. 1513-1521, 2004.<\/li>\r\n
            29. G. Koch, L. Heutte, T. Paquet.\u00a0Extraction de s\u00e9quences num\u00e9riques dans des courriers manuscrits<\/strong>. 14\u00e8me Congr\u00e8s Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA’2004, Toulouse, France, vol. 3, pp. 1503-1511, 2004.<\/li>\r\n
            30. P. Leray, I. Zaarour, L. Heutte, B. El-Eter, J. Labiche, D. Mellier.\u00a0R\u00e9seaux bay\u00e9siens pour la d\u00e9couverte de strat\u00e9gies d’\u00e9criture manuscrite chez l’enfant en \u00e9cole primaire<\/strong>. 14\u00e8me Congr\u00e8s Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA’2004, Toulouse, France, vol. 3, pp. 1135-1142, 2004.<\/li>\r\n
            31. H. Zouari, L. Heutte, Y. Lecourtier.\u00a0Using diversity measure in building classifier ensembles to examine the effect of classifier agreement on the plurality voting performance<\/strong>. Conf\u00e9rence Internationale Sciences Electroniques, Technologies de l’Information et des T\u00e9l\u00e9communications, SETIT’2004, Sousse, Tunisie, Proceedings on CD-ROM, 2004.<\/li>\r\n
            32. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0The use of diversity measure for generating classifier ensembles to evaluate the plurality voting performance<\/strong>. Premier Congr\u00e8s International de Signaux, Circuits et Syst\u00e8mes, SCS’2004, Monastir, Tunisie, pp. 221-226, 2004.<\/li>\r\n
            33. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0Generating classifier outputs with fixed diversity for evaluating the performance of combination methods<\/strong>. Quatri\u00e8mes Journ\u00e9es des Jeunes Chercheurs en G\u00e9nie Electrique et Informatique, GEI’2004, Monastir, Tunisie, Proceedings on CD-ROM, 2004.<\/li>\r\n
            34. I. Zaarour, L. Heutte, B. Eter, J. Labiche, D. Mellier, M. Zoaeter.\u00a0Une mod\u00e9lisation probabiliste de l’\u00e9volution des strat\u00e9gies d’\u00e9criture des \u00e9l\u00e8ves en scolarit\u00e9 primaire<\/strong>. Premier Congr\u00e8s International sur la Mod\u00e9lisation Num\u00e9rique Appliqu\u00e9e, CIMNA’2003, Beyrouth, Liban, pp. 383-388, 2003.<\/li>\r\n
            35. A. Bensefia, T. Paquet, L. Heutte.\u00a0Recherche d’information dans une base de documents manuscrits<\/strong>. Colloque International sur le Document Electronique, CIDE6, Caen, France, pp. 183-197, 2003.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
            36. A. Nosary, T. Paquet, L. Heutte.\u00a0Reconnaissance de textes manuscrits par adaptation au scripteur<\/strong>. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2002, Hammamet, Tunisie, pp. 365-374, 2002.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
            37. A. Nosary, L. Heutte, T. Paquet.\u00a0Reconnaissance de mots manuscrits par segmentation-reconnaissance: apports d’une reconnaissance lettres par niveau avec rejet<\/strong>. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2002, Hammamet, Tunisie, pp. 355-364, 2002.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
            38. A. Bensefia, L. Heutte, T. Paquet, A. Nosary.\u00a0Identification du scripteur par repr\u00e9sentation graph\u00e8mes<\/strong>. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2002, Hammamet, Tunisie, pp. 285-294, 2002.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
            39. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0Un bref panorama de la combinaison de classifieurs en reconnaissance de formes<\/strong>. Deuxi\u00e8mes Journ\u00e9es Scientifiques des Jeunes Chercheurs en G\u00e9nie Electrique et Informatique, GEI’2002, Hammamet, Tunisie, pp. 12 (actes sur CDROM), 2002.<\/li>\r\n
            40. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi.\u00a0Un panorama des m\u00e9thodes de combinaison de classifieurs en reconnaissance de formes<\/strong>. 13\u00e8me Congr\u00e8s Francophone AFRIF-AFIA de Reconnaissance des Formes et d’Intelligence Artificielle, RFIA’2002, Angers, France, vol. 2, pp. 499-508, 2002.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
            41. T. Paquet, L. Heutte, A. Nosary, Y. Lecourtier.\u00a0Probl\u00e9matique de la Reconnaissance de l’Ecriture<\/strong>. Communication Multim\u00e9dia, Premi\u00e8res Rencontres des STI, ASTI’2001, Paris, France, pp. 53 (actes sur CDROM), 2001.<\/li>\r\n
            42. A. Nosary, L. Heutte, T. Paquet, C. Hernoux.\u00a0Lecture automatique de textes manuscrits bas\u00e9e sur une architecture multi-agents<\/strong>. Colloque International Francophone sur l’Ecrit et le Document, CIFED’2000, Lyon, France, pp. 363-372, 2000.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
            43. T. Paquet, A. Nosary, L. Heutte, Y. Lecourtier.\u00a0Apprendre l’\u00e9criture du scripteur pour adapter la reconnaissance<\/strong>. 12\u00e8me Congr\u00e8s Francophone AFRIF-RFIA, RFIA’2000, Paris, France, vol. 3, pp. 337-346, 2000.\u00a0[pdf]<\/strong><\/a><\/li>\r\n
            44. L. Heutte, P. Pereira, O. Bougeois, J.V. Moreau, B. Plessis, P. Courtellemont, Y. Lecourtier.\u00a0Reconnaissance des montants num\u00e9riques : Application \u00e0 la lecture automatique des ch\u00e8ques multi-bancaires<\/strong>. 4\u00e8me Colloque National sur l’Ecrit et le Document, AFCET-CNED’96, Nantes, France, pp. 215-222, 1996.<\/li>\r\n
            45. L. Heutte, Y. Lecourtier, J.V. Moreau.\u00a0Une nouvelle m\u00e9thode d’extraction de projections et de profils pour la reconnaissance de chiffres manuscrits<\/strong>. Actes du Congr\u00e8s National sur l’Ecrit et le Document, AFCET-CNED’94, Rouen, France, pp. 1-10, 1994.<\/li>\r\n
            46. J.M. Ogier, L. Heutte, J. Labiche, C. Olivier, Y. Lecourtier.\u00a0L’analyse de texture : un outil pour la transformation sous forme objet de donn\u00e9es cartographiques<\/strong>. Actes du Congr\u00e8s National sur l’Ecrit et le Document, CNED’92,\u00a0Bigre<\/em>\u00a0n\u00b080, pp. 242-249, 1992.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

              Thesis<\/strong><\/h3>\r\n\r\n\r\n\r\n
                \r\n
              1. L. Heutte.\u00a0Analyse et reconnaissance de l’\u00e9criture: de nouvelles perspectives en traitement automatique de documents manuscrits<\/strong>.\u00a0Habilitation \u00e0 Diriger les Recherches<\/em>, Universit\u00e9 de Rouen, 2003.<\/li>\r\n
              2. L. Heutte.\u00a0Reconnaissance de caract\u00e8res manuscrits : Application \u00e0 la lecture automatique des ch\u00e8ques et des enveloppes postales<\/strong>.\u00a0Th\u00e8se de Doctorat<\/em>, Universit\u00e9 de Rouen, 1994.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

                Research reports<\/strong><\/h3>\r\n\r\n\r\n\r\n
                  \r\n
                1. P.B. Pereira, L. Heutte, J.V. Moreau, P. Courtellemont, Y. Lecourtier.\u00a0Source-to-source intrumentation of C based languages: Application to the memory optimization of an automatic bank check reading system<\/strong>. Internal Research Report (accepted for communication to the 6th Asian Test Symposium, Akita, Japan), 1997.<\/li>\r\n
                2. P. Pereira, O. Bougeois, L. Heutte, J.L. Plagnaud, B. Plessis, P. Pontevia, T. Prat, A. Sicsu.\u00a0Lecture automatique des ch\u00e8ques : Analyse algorithmique<\/strong>. Rapport de Recherche, LACCP\/REC\/00\/94203-A0\/sg, MATRA CAP Syst\u00e8mes, 101 p., Novembre 1994.<\/li>\r\n
                3. B. Plessis, A. Sicsu, E. Menu, L. Heutte, J.V. Moreau.\u00a0CHAIR project phase 1 : Contextual handwritten word recognition – Second interim report<\/strong>. United States Postal Service Report n\u00b02, USPS\/REC\/00\/92174\/BP, MATRA CAP Syst\u00e8mes, 104 p., November 1992.<\/li>\r\n
                4. B. Plessis, A. Sicsu, E. Menu, L. Heutte, P. Pontevia, J.V. Moreau.\u00a0CHAIR project phase 1 : Contextual handwritten word recognition – First interim report<\/strong>. United States Postal Service Report n\u00b01, USPS\/PRJ\/00\/92004-A0\/BP, MATRA CAP Syst\u00e8mes, 127 p., May 1992.<\/li>\r\n
                5. L. Heutte.\u00a0Caract\u00e9risation et extraction des zones textur\u00e9es sur les cartes g\u00e9ographiques<\/strong>. Rapport de DEA\/DESS, PSI-La3i, 112 p., Septembre 1991.\u00a0\u00a0<\/li>\r\n<\/ol>\r\n","protected":false},"excerpt":{"rendered":"

                  Publications in referred journals Z. Curi, S. Nicolas, P. Tranouez, J. Saavedra, A. de Souza Britto Jr, L. Heutte. A segmentation-free method for image retrieval and pattern spotting in historical documents using convolutional features. Multimedia Tools and Applications, vol. 84, … Continuer la lecture →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"onecolumn-page.php","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"footnotes":""},"class_list":["post-22","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nPublications - Page personnelle de Laurent Heutte<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/pagesperso.litislab.fr\/lheutte\/publications\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications - Page personnelle de Laurent Heutte\" \/>\n<meta property=\"og:description\" content=\"Publications in referred journals Z. Curi, S. Nicolas, P. 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