Emmanuel Viennet - Publications

viennet
[1] Jérémy Jaspar, Emmanuel Viennet, David Gualandris, Jean-Louis Sauvaget, and Françoise Soulié-Fogelman. Looking for performance guarantees of an image compression and object detection pipeline. In Société des Ingénieurs de l'Automobile, editor, SIA Vision, October 2024. [ bib ]
[2] Issam Benamara and Emmanuel Viennet. Power of suggestion: Strategic feature manipulation in transformer-based models. In 36rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2024, Washington, USA. IEEE, October 2024. [ bib ]
[3] Jérémy Jaspar, Emmanuel Viennet, David Gualandris, Jean-Louis Sauvaget, and Françoise Soulié-Fogelman. Using synthetic images to improve and test object detection in the context of the autonomous vehicle. In IEEE 12th European Workshop on Visual Information Processing (EUVIP), sep 2024. [ bib ]
[4] Issam Benamara and Emmanuel Viennet. Contextual advertising strategy generation via attention and interaction guidance. In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), October 2023. [ bib ]
[5] Issam Benamara and Emmanuel Viennet. Contextual advertising strategy generation via attention and interaction guidance. In Atelier sur les mécanismes d'attention en apprentissage automatique de la conférence EGC 2023, January 2023. [ bib ]
[6] Jérémy Jaspar, Emmanuel Viennet, Françoise Soulié-Fogelman, and David Gualandris. Procédé et dispositif de compression avec pertes et relative aux zones d'intérêts d'images numériques utilisant des paramètres déterminés à partir d'un réseau de neurones, 2023. Patent pending. [ bib ]
[7] Long H. Ngo, Marie Luong, Nikolay M. Sirakov, and Emmanuel Viennet. Image classification based on sparse representation in the quaternion wavelet domain. IEEE Access, 10:31548--31560, March 2022. [ bib | DOI ]
[8] Long H. Ngo, Marie Luong, Nikolay M. Sirakov, Emmanuel Viennet, and Thuong Le-Tien. Image classification based on sparse representation in the quaternion wavelet domain. Signal, Image and Video Processing, January 2022. [ bib | DOI ]
[9] Patricia Conde-Céspedes, Blaise Ngonmang, and Emmanuel Viennet. An efficient method for mining the maximal alpha-quasi-clique- community of a given node in complex networks. Social Network Analysis and Mining, 8(20), December 2018. [ bib | DOI ]
[10] Long H. Ngo, Marie Luong, Nikolay M. Sirakov, Sébastien Guérif, and Emmanuel Viennet. Sparse representation wavelet based classification. In Proc. of the 2018 IEEE Int. Conf. on Image Processing (ICIP 2018), October 2018. [ bib ]
[11] Emmanuel Viennet, Daniel Bernardes, Mamadou Diaby, Raphaël Fournier, and Françoise Fogelman-Soulié. Systèmes de recommandation sociaux. In M. Maumy-Bertrand, G. Saporta, and C. Thomas Agnan, editors, Apprentissage Statistique et Données Massives, chapter 10, pages 273--305. Technip, Paris, May 2018. ISBN: 9782710811824. [ bib ]
[12] Emmanuel Viennet. Analyse des réseaux sociaux. In M. Maumy-Bertrand, G. Saporta, and C. Thomas Agnan, editors, Apprentissage Statistique et Données Massives, chapter 9, pages 241--272. Technip, Paris, May 2018. ISBN: 9782710811824. [ bib ]
[13] Camille Coti, Jean-Vincent Loddo, and Emmanuel Viennet. An overview of the options available for practical activities in distributed computing. In IEEE Computer Society, Proc. of the 16th International Conference on Information Technology Based Higher Education and Training (ITHET'17), Ohrid, Macedonia, September 2017. [ bib ]
[14] Emmanuel Viennet. Programme de coopération ADIUT / Beijing Polytechnics en réseaux et télécommunications. In Rapport de contrat, June 2017. [ bib ]
[15] Emmanuel Viennet. Machine learning in large social networks. In Data Science Spring School, University of Tianjin, Tianjin, China, May 2017. [ bib ]
[16] Patricia Conde-Céspedes, Jean-François Marcotorchino, and Emmanuel Viennet. Comparison of linear modularization criteria using the relational formalism, an approach to easily identify resolution limit. Advances in Knowledge Discovery and Management (AKDM-6), 6:101--120, January 2017. [ bib | DOI ]
[17] Emmanuel Viennet. Introduction à l'analyse des réseaux sociaux. In Cours aux Journées d'Études en Statistique, Fréjus, France, October 2016. [ bib ]
[18] Emmanuel Viennet. Les systèmes de recommandation sociaux. In Cours aux Journées d'Études en Statistique, Fréjus, France, October 2016. [ bib ]
[19] Raphaël Fournier and Emmanuel Viennet. Ammico: recommandation sociale pour la visite de musée. Revue des Nouvelles Technologies de l'Information (RNTI-A8), pages 101--120, July 2016. [ bib ]
[20] Patricia Conde-Céspedes, Blaise Ngonmang, and Emmanuel Viennet. An efficient method for mining the maximal alpha-clique community of a given node in complex networks. In Proc. of AAFD & SFC Conférence sur la Sciences des Données, May 2016. [ bib ]
[21] Françoise Fogelman Soulié and Emmanuel Viennet. L'analyse des réseaux sociaux. 1024, Bulletin de la société informatique de France, 1(8):25--43, 2016. [ bib ]
[22] Atidel Lahoulou, Mohamed Chaker Larabi, Azeddine Beghdadi, Emmanuel Viennet, and Ahmed Bouridane. Knowledge-based taxonomic scheme for full-reference objective image quality measurement models. Journal of Imaging Science and Technology, 60(6):60406--1--60406--15, 2016. [ bib | DOI ]
[23] Patricia Conde-Céspedes, Blaise Ngonmang, and Emmanuel Viennet. Approximation of the maximal alpha-consensus local community detection problem in complex networks. In IEEE SITIS 2015, Complex Networks and their Applications, pages 314--321, Bangkok, Thailand, December 2015. [ bib ]
[24] Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Nikolay Metodiev Sirakov, and Emmanuel Viennet. Efficient segmentation with the convex local-global fuzzy gaussian distribution active contour for medical applications. Annals of Mathematics and Artificial Intelligence, 75(1):249--266, October 2015. [ bib | DOI ]
[25] Ivan Keller and Emmanuel Viennet. Recommender systems for museums: Evaluation on a real dataset. In Fifth International Conference on Advances in Information Mining and Management, July 2015. [ bib ]
[26] Mamadou Diaby and Emmanuel Viennet. Quantifying the hidden factors impacting the audience of job advertisements posted on Facebook. In 15th Industrial Conference on Data Mining ICDM 2015, July 2015. [ bib ]
[27] Mamadou Diaby and Emmanuel Viennet. Job recommandations on social networks using a multilayer vector model. In Workshop on Heterogeneous Information Access at WSDM 2015 (HIA'15), Shanghai, February 2015. [ bib ]
[28] Blaise Ngonmang, Emmanuel Viennet, Maurice Tchuente, and Vanessa Kamga. Community Analysis and Link Prediction in Dynamic Social Networks, pages 83--101. Computing in Research and Development in Africa - Benefits, Trends, Challenges and Solutions. Springer, 2015. [ bib ]
[29] Patricia Conde-Céspedes, Jean-François Marcotorchino, and Emmanuel Viennet. Comparing linear modularization criteria using the relational notation. In 15e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC'15), Luxembourg, January 2015. [ bib ]
[30] Daniel Bernardes, Mamadou Diaby, Raphaël Fournier, Françoise Fogelman-Soulié, and Emmanuel Viennet. A social formalism & survey for recommender systems. SIGKDD Explorations, 16(2), December 2014. [ bib ]
[31] Emmanuel Viennet. Un projet de Licence Professionnelle ASUR en enseignement à distance. In 3ème workshop pédagogique Réseaux & Télécoms, Saint-Pierre, La Réunion, France, November 2014. [ bib ]
[32] Emmanuel Viennet and Laure Petrucci. Monitoring students performances in french institutes of technology using the scodoc software. In IEEE Computer Society, Proc. of the 13th International Conference on Information Technology Based Higher Education and Training (ITHET'14), York, UK, September 2014. [ bib ]
[33] Emmanuel Malherbe, Mamadou Diaby, Mario Cataldi, Emmanuel Viennet, and Marie-Aude Aufaure. Field selection for job categorization and recommendation to social network users. In IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'14), pages 588--595, August 2014. [ bib ]
[34] Emmanuel Viennet. Dynamic of Communities in Social Networks. In 2nd International Society of NonParametric Statistics Conference (ISNPS'14), Cadiz, España, June 2014. [ bib ]
[35] Mamadou Diaby and Emmanuel Viennet. Taxonomy-based job recommender systems in Facebook and LinkedIn. In Proceedings of the Eighth IEEE International Conference on Research Challenges in Information Science (RCIS), pages 237--244. IEEE, May 2014. [ bib ]
[36] Blaise Ngonmang and Emmanuel Viennet. Dynamique des communautés par prédiction d'interactions dans les réseaux sociaux (poster). In 14e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC'14), Rennes, January 2014. [ bib ]
[37] Mamadou Diaby and Emmanuel Viennet. Développement d'une application de recommandation d'offres d'emploi aux utilisateurs de Facebook et LinkedIn. In Atelier Fouille de Données Complexes de la 14e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC'14), Rennes, January 2014. [ bib ]
[38] Blaise Ngonmang and Emmanuel Viennet. Dynamique des communautés par prévision d'interactions dans les réseaux sociaux. In Atelier Fouille de Données Complexes de la 14e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC'14), Rennes, January 2014. [ bib ]
[39] Mamadou Diaby, Emmanuel Viennet, and Tristan Launay. Exploration of methodologies to improve job recommender systems on social networks. Social Network Analysis and Mining, 4(1), 2014. [ bib | DOI ]
[40] Blaise Ngonmang, Emmanuel Viennet, and Maurice Tchuente. Predicting users behaviours in distributed social networks using community analysis. Lecture Notes in Social Networks, pages 119--138, 2014. [ bib | DOI ]
[41] Raphaël Fournier, Emmanuel Viennet, Savanery Sean, Françoise Soulié-Fogelman, and Marc Bénaiche. Ammico: social recommendations for museums. In Proceedings of Digital Intelligence (DI2014), Nantes, France, 2014. [ bib ]
[42] Atidel Lahoulou, Ahmed Bouridane, Emmanuel Viennet, and Mourad Haddadi. Full reference image quality metrics performance evaluation over image quality databases. Arabian Journal for Science and Engineering, pages 2327--2356, December 2013. doi: 10.1007/s13369-012-0509-6 (32 pages). [ bib ]
[43] Blaise Ngonmang, Emmanuel Viennet, S. Sean, Françoise Fogelman-Soulié, and Rémi Kirche. Monetization and services on a real online social network using social network analysis. In ICDM workshop on Data Mining Case Studies and Success Stories, pages 185--193, Dallas, USA, December 2013. [ bib | DOI ]
[44] Blaise Ngonmang and Emmanuel Viennet. Toward community dynamic through interactions prediction in complex networks. In IEEE SITIS 2013, Complex Networks and their Applications, pages 462--469, Kyoto, Japan, December 2013. [ bib ]
[45] Blaise Ngonmang and Emmanuel Viennet. Framework d'analyse de grands réseaux sociaux distribués. In CRI 2013, Yaoundé, Cameroun, December 2013. [ bib ]
[46] Vanessa Kamga, Maurice Tchuente, and Emmanuel Viennet. Prévision de lien dans les graphes bipartites avec attributs. Revue des Nouvelles Technologies de l'Information (RNTI-A6), pages 67--85, November 2013. [ bib ]
[47] Emmanuel Viennet and Younès Bennani, editors. Apprentissage artificiel et fouille de données, numéro spécial de la Revue des Nouvelles Technologies de l'Information. Hermès, November 2013. [ bib ]
[48] Mamadou Diaby, Emmanuel Viennet, and Tristan Launay. Toward the next generation of recruitment tools. In IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'13), pages 821--829, August 2013. [ bib ]
[49] Emmanuel Viennet. Community detection and learning in social networks. In 59th World Statistics Congress of the International Statistical Institute (ISI WSC'13), Hong Kong, China, August 2013. [ bib ]
[50] The Anh Dang and Emmanuel Viennet. Collaborative filtering in social networks: A community-based approach. In IEEE ComManTel 2013, Int. Conf. on Computing, Management and Telecommunications, January 2013. [ bib ]
[51] Emmanuel Viennet. Maquette du démonstrateur. Technical report, Laboratoire de Traitement et Transport de l'Information, Université Paris 13, November 2012. Rapport 7.1/7.2 du projet ANR ExDEUSS. [ bib ]
[52] Atidel Lahoulou, Emmanuel Viennet, and Ahmed Bouridane. Customizing cost function for optimizing image quality measures performances. International Journal of Electronics, 99(9):1533--1546, November 2012. [ bib | DOI | http ]
[53] Quang Tung Thieu, Marie Luong, J.-M. Rocchisani, N. M. Sirakov, and Emmanuel Viennet. Segmentation by a local and global fuzzy gaussian distribution energy minimization of an active contour model. In IWCIA 2012, LNCS 7655, pages 298--312, Heidelberg, November 2012. Springer. [ bib ]
[54] Ivan Keller and Emmanuel Viennet. A characterization of the modular structure of complex networks based on consensual communities. In IEEE SITIS 2012, Complex Networks and their Applications, pages 717--726, November 2012. [ bib ]
[55] Ivan Keller and Emmanuel Viennet. Caractérisation de la structure communautaire d'un grand réseau social. In MARAMI/JFGG 2012, October 2012. [ bib ]
[56] Blaise Ngonmang, Emmanuel Viennet, and Maurice Tchuente. Churn prediction in a real online social network using local community analysis. In IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'12), pages 282--290, August 2012. [ bib ]
[57] Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Nguyen Linh-Trung, and Emmanuel Viennet. Novel active contour model for image segmentation based on local fuzzy gaussian distribution fitting. Journal of Electronic Science and Technology, 10(2):113--122, June 2012. [ bib ]
[58] Emmanuel Viennet and F. Soulié-Fogelman. Analyse des communautés et des influenceurs. Technical report, Laboratoire de Traitement et Transport de l'Information, Université Paris 13, April 2012. Rapport 2.3 du projet ANR ExDEUSS. [ bib ]
[59] Blaise Ngonmang, Maurice Tchuente, and Emmanuel Viennet. Local communities identification in social networks. Parallel Processing Letters, 22(1), March 2012. 16 pages. [ bib | DOI ]
[60] The Anh Dang and Emmanuel Viennet. Détection de communautés dans les réseaux sociaux utilisant liens et attributs (poster). In 12e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC'12), February 2012. [ bib ]
[61] The Anh Dang and Emmanuel Viennet. Community detection based on structural and attribute similarities. In International Conference on Digital Society (ICDS), pages 7--14, January 2012. ISBN: 978-1-61208-176-2. Best paper award. [ bib ]
[62] Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Emmanuel Viennet, and Dat Tran. Novel convex active contour model using local and global information. In DICTA 2011 International Conference on Digital Image Computing: Techniques and Applications, December 2011. [ bib ]
[63] The Anh Dang and Emmanuel Viennet. Community detection based on structural and attribute similarities. In 2ième Journée thématique : Fouille de grands graphes (MARAMI'2011), October 2011. [ bib ]
[64] Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Dat Tran, and Emmanuel Viennet. An efficient local and global model for image segmentation. In 2011 International Conference on Advanced Technologies for Communications, August 2011. [ bib ]
[65] Emmanuel Viennet and The Anh Dang. Modèles de scores sociaux. Technical report, Laboratoire de Traitement et Transport de l'Information, Université Paris 13, May 2011. Rapport 3.4 du projet ANR ExDEUSS. [ bib ]
[66] Blaise Ngonmang, Maurice Tchuente, and Emmanuel Viennet. Identification de communautés locales dans les réseaux sociaux. In Atelier AGS : Apprentissage et Graphes pour les Systèmes complexes, May 2011. [ bib ]
[67] The Anh Dang and Emmanuel Viennet. Community detection based on structural and attribute similarities. In Atelier AGS : Apprentissage et Graphes pour les Systèmes complexes, May 2011. [ bib ]
[68] Atidel Lahoulou, Emmanuel Viennet, Ahmed Bouridane, and Mourad Haddadi. A complete statistical evaluation of state-of-the-art image quality measures. In The 7th International Workshop on Systems, Signal Processing and their Applications, Wosspa 2011, pages 219 -- 224, May 2011. [ bib ]
[69] Atidel Lahoulou, Emmanuel Viennet, Ahmed Bouridane, and Mourad Haddadi. Full numerical results for image quality metrics performance benchmarking. Technical report, Laboratoire de Traitement et Transport de l'Information, Université Paris 13, April 2011. [ bib ]
[70] Emmanuel Viennet. Algorithmes et méthodes d'analyse des réseaux sociaux. Technical report, Laboratoire de Traitement et Transport de l'Information, Université Paris 13, March 2011. Rapport 2.1 du projet ANR ExDEUSS. [ bib ]
[71] The Anh Dang and Emmanuel Viennet. Détection de communautés dans les graphes bipartites. Revue des Nouvelles Technologies de l'Information (RNTI-A5), pages 65--77, 2011. [ bib ]
[72] QuangTung Thieu, Marie Luong, Jean-Marie Rocchisani, and Emmanuel Viennet. A convex active contour region-based model for image segmentation. In Pedro Real, Daniel Diaz-Pernil, Helena Molina-Abril, Ainhoa Berciano, and Walter Kropatsch, editors, Computer Analysis of Images and Patterns, volume 6854 of Lecture Notes in Computer Science, pages 135--143. Springer Berlin Heidelberg, 2011. [ bib | DOI | http ]
Keywords: Segmentation; Convex; Medical Image; Active Contour
[73] The Anh Dang and Emmanuel Viennet. Détection de communautés dans les graphes bipartites. In Atelier fouille de grands graphes, October 2010. [ bib ]
[74] Atidel Lahoulou, Emmanuel Viennet, and Mourad Haddadi. Variable selection for image quality assessment using a neural network based approach. In 2nd European Workshop on Visual Information Processing, pages 45 -- 50, July 2010. [ bib ]
[75] Emmanuel Viennet. Introduction aux réseaux sociaux : problématiques pour la fouille de données. Colloque Réseaux sociaux, analyse et data mining, École Normale Supérieure, February 2010. [ bib | http ]
[76] Emmanuel Viennet. Apprentissage de graphes et réseaux sociaux. Cours à l'École d'hiver é-EGC, February 2010. [ bib | http ]
[77] Atidel Lahoulou, Emmanuel Viennet, and Azeddine Beghdadi. Selecting low-level features for image quality assessment by statistical methods. Journal of Computing and Information Technology, 18(2):183--195, 2010. [ bib ]
[78] Emmanuel Viennet. Recherche de communautés dans les grands réseaux sociaux. Revue des Nouvelles Technologies de l'Information (RNTI-A3), pages 145--160, July 2009. [ bib ]
[79] Y. Bennani and Emmanuel Viennet, editors. Apprentissage artificiel et fouille de données, numéro spécial de la Revue des Nouvelles Technologies de l'Information. Cepadues, July 2009. 328 pages. [ bib ]
[80] Emmanuel Viennet. Learning in social networks. In Workshop Franco-Brasileiro sobre Mineraçao de Dados, June 2009. [ bib ]
[81] Atidel Lahoulou, Emmanuel Viennet, and Azeddine Beghdadi. Combining and Selecting Indicators for Image Quality Assesment. In 31st International Conference on Information Technology Interfaces, pages 261--268, June 2009. [ bib | http ]
[82] Emmanuel Viennet and F. Soulié-Fogelman. Analyse des communautés dans les réseaux sociaux. Technical report, Laboratoire d'Informatique de Paris Nord, Université Paris 13, February 2009. Rapport 3.3 du projet ANR CADI. [ bib ]
[83] Emmanuel Viennet and F. Soulié-Fogelman. Communautés web 2.0: spécification d'un module d'analyse. Technical report, Laboratoire d'Informatique de Paris Nord, Université Paris 13, December 2008. Rapport 3.2 du projet ANR CADI. [ bib ]
[84] Emmanuel Viennet. Communautés web 2.0: état de l'art. Technical report, Laboratoire d'Informatique de Paris Nord, Université Paris 13, June 2008. Rapport 3.1 du projet ANR CADI. [ bib ]
[85] S. Aseervatham and Emmanuel Viennet. Méthodes à noyaux appliquées aux textes structurés. Revue des Nouvelles Technologies de l'Information (RNTI-A2), pages 185--205, March 2008. [ bib ]
[86] Y. Bennani, Emmanuel Viennet, and S. Guérif. Réduction des dimensions des données en apprentissage artificiel. Revue des Nouvelles Technologies de l'Information (RNTI-A2), pages 135--163, March 2008. [ bib ]
[87] Y. Bennani and Emmanuel Viennet, editors. Apprentissage artificiel et fouille de données, numéro spécial de la Revue des Nouvelles Technologies de l'Information. Cepadues, March 2008. 230 pages. [ bib ]
[88] Emmanuel Viennet. Analyse des interactions dans les réseaux sociaux. Technical report, Laboratoire d'Informatique de Paris Nord, Université Paris 13, February 2008. Rapport 2.5 du projet ANR Septia. [ bib ]
[89] Emmanuel Viennet. Analyse des évolutions dans un portail collaboratif. Technical report, Laboratoire d'Informatique de Paris Nord, Université Paris 13, February 2008. Rapport 5.2 du projet ANR Septia. [ bib ]
[90] Emmanuel Viennet. Contributions aux méthodes d'apprentissage numérique pour la fouille de données structurées. Habilitation à diriger des recherches, December 2007. [ bib ]
[91] Emmanuel Viennet. ScoDoc: un logiciel pour le suivi de la scolarité. In Workshop pédagogique Réseaux & Télécoms, November 2007. [ bib | http ]
[92] S. Aseervatham, Emmanuel Viennet, and Y. Bennani. A Semantic Kernel for Semi-Structured Documents. In Proceedings of the ICDM'07, IEEE International Conference on Data Mining, pages 403--408, Omaha NE, USA, October 2007. [ bib ]
[93] Emmanuel Viennet and F. Fogelman Soulié. Le traitement des refusés dans le risque crédit. Revue des Nouvelles Technologies de l'Information (RNTI-A-1), pages 23--45, September 2007. [ bib ]
[94] Nicoleta Rogovschi and Emmanuel Viennet. Finding community structure in social networks using statistical approaches. In V International Conference on Microelectronics and Computer Science, pages 341--349, September 2007. [ bib | http ]
[95] Nicoleta Rogovschi and Emmanuel Viennet. Finding community structure in large social networks. Poster at NATO Advanced Study Institute on Mining Massive Data Sets for Security, September 2007. [ bib | http ]
[96] A. Tenenhaus, A. Giron, Emmanuel Viennet, M. Béra, G. Saporta, and B. Fertil. Kernel logistic PLS: a tool for supervised nonlinear dimensionality reduction and binary classification. Computational Statistics & Data Analysis, 51(9):4083--4100, May 2007. [ bib ]
[97] S. Aseervatham, A. Osmani, and Emmanuel Viennet. bitSPADE: A lattice-based sequential pattern mining algorithm using bitmap representation. In Sixth International Conference on Data Mining (ICDM'06), pages 792--797, Hong Kong, China, December 2006. [ bib ]
[98] J. Galy, Emmanuel Viennet, and Maria Ruiz. Création des départements Télécommunications et Réseaux dans les IUT au Vénézuela. In Vème congrès France-Amérique latine, Coopération technologique et professionnelle, November 2006. 8 pages. [ bib ]
[99] S. Aseervatham and Emmanuel Viennet. Méthodes à noyaux appliquées aux textes structurés. Technical report, Laboratoire d'Informatique de Paris Nord, Université Paris 13, June 2006. Rapport D3.12-2b du projet InfoMagic, pôle Cap Digital. [ bib ]
[100] Y. Bennani and Emmanuel Viennet. Réduction des dimensions de l'espace de description. Technical report, Laboratoire d'Informatique de Paris Nord, Université Paris 13, June 2006. Rapport D3.21-3a du projet InfoMagic, pôle Cap Digital. [ bib ]
[101] Emmanuel Viennet, Françoise Fogelman Soulié, and Benoît Rognier. Évaluation de techniques de traitement des refusés pour l'octroi de crédit. In Société Française de Statistique, editor, 38ièmes Journées de Statistique, May 2006. 8 pages. [ bib ]
[102] Emmanuel Viennet. Réseaux à Fonctions de Base Radiales, chapter 4, pages 105--122. Apprentissage Connexionniste. Hermès Science, Paris, 2006. [ bib ]
[103] Emmanuel Viennet. Estimation de la qualité de service par apprentissage numérique. Technical report, Laboratoire d'Informatique de Paris Nord, Université Paris 13, May 2003. Rapport du projet RNRT MAGDA2. [ bib ]
[104] Emmanuel Viennet and R. Fernandez. Machines à vecteurs de support et réseaux de neurones : comparaisons expérimentales pour l'identification de visages. In Conférence sur l'Apprentissage CAP'99, June 1999. 10 pages. [ bib ]
[105] R. Fernandez and Emmanuel Viennet. Face identification using support vector machines. In Proceedings of the 7th European Symposium on Artificial Neural Networks (ESANN), April 1999. 8 pages. [ bib ]
[106] Emmanuel Viennet. Reconnaissance des formes et machines à vecteurs de support. In CNRIUT'98, June 1998. 10 pages. [ bib ]
[107] Emmanuel Viennet and Francoise Fogelman Soulié. Connectionnists methods for human face processing. In H. Wechsler, J. Phillips, and T.S. Huang, editors, Face Recognition : From Theory to Applications, volume 163 of NATO ASI Series in Computer and Systems Sciences, pages 124--157. Springer Verlag, 1998. [ bib ]
[108] R. Fernandez, Emmanuel Viennet, E. Goles, R. Barrientos, and M. Telias. On-line coarse ore granulometric analyser using neural networks. In Proceedings of ICANN'95 Paris, volume industrial session, October 1995. 9 pages. [ bib ]
[109] Emmanuel Viennet. Architectures Connexionnistes Multi-Modulaires. Application à l'analyse de scène. PhD thesis, Université Paris XI, June 1993. [ bib ]
[110] Emmanuel Viennet. Recognizing human faces in scenes image. Poster at Snowbird, Neural Network for Computing Conference, April 1993. [ bib ]
[111] Emmanuel Viennet and Francoise Fogelman Soulié. Rejection and accuracy: a new multi-modular approach. Poster at Snowbird, Neural Network for Computing Conference, April 1993. [ bib ]
[112] Emmanuel Viennet, Francoise Fogelman Soulié, and Bertrand Lamy. Multi-modular neural networks architectures for pattern recognition. Technical Report 827, Laboratoire de Recherches en Informatique, Paris XI, Orsay, March 1993. [ bib ]
[113] Francoise Fogelman Soulié, Bertrand Lamy, and Emmanuel Viennet. Multi-modular neural networks architectures for pattern recognition: Applications in Optical Characters Recognition and Human Face Recognition. Int. J. Pattern Recognition and Artificial Intelligence, 7(4):721--755, 1993. [ bib ]
[114] Hazem Bouattour, Francoise Fogelman Soulié, and Emmanuel Viennet. Neural nets for human face recognition. In Proceedings of IJCNN Baltimore, volume 3, pages 700--704, 1992. [ bib ]
[115] Emmanuel Viennet and Francoise Fogelman Soulié. Multi-resolution scene segmentation using MLPs. In Proceedings of IJCNN Baltimore, volume 3, pages 55--69, 1992. [ bib ]
[116] Hazem Bouattour, Francoise Fogelman Soulié, and Emmanuel Viennet. Solving the human face recognition task using neural nets. In I. Aleksander and J. Taylor, editors, Proceedings of ICANN'92 Brighton, volume 2 of Artificial Neural Networks, pages 1595--1599. Elsevier, 1992. [ bib ]
[117] Emmanuel Viennet and Francoise Fogelman Soulié. Scene segmentation using multiresolution analysis and MLP. In I. Aleksander and J. Taylor, editors, Proceedings of ICANN'92 Brighton, Artificial Neural Networks, pages 1599--1602. Elsevier, 1992. [ bib ]
[118] Jean-Christophe Feauveau and Emmanuel Viennet. Multiresolution segmentation by neural networks. In Proceedings of INNC Paris, volume 1, pages 149--152, 1990. [ bib ]
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