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Emmanuel Viennet
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2020 – today
- 2023
- [c31]Issam Benamara
, Emmanuel Viennet:
Contextual Advertising Strategy Generation via Attention and Interaction Guidance. DSAA 2023: 1-10 - 2022
- [j10]Long H. Ngo
Image Classification Based on Sparse Representation in the Quaternion Wavelet Domain. IEEE Access 10: 31548-31560 (2022) - [j9]Long H. Ngo
Skin lesion image classification using sparse representation in quaternion wavelet domain. Signal Image Video Process. 16(7): 1721-1729 (2022)
2010 – 2019
- 2018
- [j8]Patricia Conde Céspedes
An efficient method for mining the maximal α-quasi-clique-community of a given node in complex networks. Soc. Netw. Anal. Min. 8(1): 20 (2018) - [c30]Long H. Ngo
Sparse Representation Wavelet Based Classification. ICIP 2018: 2974-2978 - 2017
- [c29]Atidel Lahoulou, Mohamed-Chaker Larabi, Azeddine Beghdadi, Emmanuel Viennet, Ahmed Bouridane:
Knowledge-based Taxonomic Scheme for Full-Reference Objective Image Quality Measurement Models. IQSP 2017: 64-78 - 2015
- [j7]Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Nikolay Metodiev Sirakov
Efficient segmentation with the convex local-global fuzzy Gaussian distribution active contour for medical applications. Ann. Math. Artif. Intell. 75(1-2): 249-266 (2015) - [c28]Patricia Conde Céspedes, Jean-François Marcotorchino, Emmanuel Viennet:
Comparison of Linear Modularization Criteria Using the Relational Formalism, an Approach to Easily Identify Resolution Limit. EGC (best of volume) 2015: 101-120 - [c27]Patricia Conde Céspedes, Jean-François Marcotorchino, Emmanuel Viennet:
Comparison of linear modularization criteria using the relational formalism, an approach to easily identify resolution limit. EGC 2015: 203-214 - [c26]Mamadou Diaby, Emmanuel Viennet:
Quantifying the Hidden Factors Impacting the Audience of Advertisements Posted on Facebook. ICDM 2015: 263-277 - [c25]Camille Coti, Jean-Vincent Loddo, Emmanuel Viennet:
Practical activities in network courses for MOOCs, SPOCs and eLearning with Marionnet. ITHET 2015: 1-6 - [c24]Patricia Conde Céspedes, Blaise Ngonmang, Emmanuel Viennet:
Approximation of the Maximal Alpha - Consensus Local Community Detection Problem in Complex Networks. SITIS 2015: 314-321 - 2014
- [j6]Daniel Faria Bernardes, Mamadou Diaby, Raphaël Fournier, Françoise Fogelman-Soulié, Emmanuel Viennet:
A Social Formalism and Survey for Recommender Systems. SIGKDD Explor. 16(2): 20-37 (2014) - [j5]Mamadou Diaby, Emmanuel Viennet, Tristan Launay:
Exploration of methodologies to improve job recommender systems on social networks. Soc. Netw. Anal. Min. 4(1): 227 (2014) - [c23]Emmanuel Malherbe
Field selection for job categorization and recommendation to social network users. ASONAM 2014: 588-595 - [c22]Blaise Ngonmang, Emmanuel Viennet:
Dynamique des communautés par prédiction d'interactions dans les réseaux sociaux. EGC 2014: 553-556 - [c21]Emmanuel Viennet, Laure Petrucci
Monitoring students performances in French Institutes of Technology using the ScoDoc software. ITHET 2014: 1-6 - [c20]Mamadou Diaby, Emmanuel Viennet:
Taxonomy-based job recommender systems on Facebook and LinkedIn profiles. RCIS 2014: 1-6 - [e4]Younès Bennani, Emmanuel Viennet:
Apprentissage Artificiel et Fouille de Données, AAFD 2012, Université Paris 13, Institut Galilée, Villetaneuse, France, 28-29 juin 2012. RNTI A-6, Hermann-Éditions 2014, ISBN 9782705688387 [contents] - 2013
- [c19]Mamadou Diaby, Emmanuel Viennet, Tristan Launay:
Toward the next generation of recruitment tools: an online social network-based job recommender system. ASONAM 2013: 821-828 - [c18]Blaise Ngonmang, Emmanuel Viennet:
Toward Community Dynamic through Interactions Prediction in Complex Networks. SITIS 2013: 462-469 - 2012
- [j4]Blaise Ngonmang, Maurice Tchuenté, Emmanuel Viennet:
Local Community Identification in Social Networks. Parallel Process. Lett. 22(1) (2012) - [c17]Vanessa Kamga, Maurice Tchuenté, Emmanuel Viennet:
Prévision de liens dans les graphes bipartites avec attributs. AAFD 2012: 57-70 - [c16]Blaise Ngonmang, Emmanuel Viennet, Maurice Tchuenté:
Churn Prediction in a Real Online Social Network Using Local CommunIty Analysis. ASONAM 2012: 282-288 - [c15]The Anh Dang, Emmanuel Viennet:
Community Detection in Social Networks with Attribute and Relationship Data. EGC 2012: 563-564 - [c14]Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Nikolay Metodiev Sirakov
Segmentation by a Local and Global Fuzzy Gaussian Distribution Energy Minimization of an Active Contour Model. IWCIA 2012: 298-312 - [c13]Ivan Keller, Emmanuel Viennet:
A Characterization of the Modular Structure of Complex Networks Based on Consensual Communities. SITIS 2012: 717-724 - 2011
- [c12]Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Emmanuel Viennet:
A Convex Active Contour Region-Based Model for Image Segmentation. CAIP (1) 2011: 135-143 - [c11]Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Emmanuel Viennet, Dat Tran
Novel Convex Active Contour Model Using Local and Global Information. DICTA 2011: 346-351 - [e3]Younès Bennani, Emmanuel Viennet:
Apprentissage Artificiel et Fouille de Données, AAFD 2010, Université Paris 13, Institut Galilée, Villetaneuse, France, 29-30 juin 2010. RNTI A-5, Hermann-Éditions 2011, ISBN 978-2-70568-221-7 [contents] - 2010
- [j3]Atidel Lahouhou, Emmanuel Viennet, Azeddine Beghdadi:
Selecting Low-level Features for Image Quality Assessment by Statistical Methods. J. Comput. Inf. Technol. 18(2) (2010) - [c10]The Anh Dang, Emmanuel Viennet:
Détection de communautés dans les graphes bipartites. AAFD 2010: 65-76 - [c9]Atidel Lahouhou, Emmanuel Viennet, Mourad Haddadi:
Variable selection for image quality assessment using a Neural Network based approach. EUVIP 2010: 45-49
2000 – 2009
- 2009
- [c8]Atidel Lahouhou, Emmanuel Viennet, Azeddine Beghdadi:
Combining and selecting indicators for image quality assesment. ITI 2009: 261-266 - [e2]Younès Bennani, Emmanuel Viennet:
Apprentissage Artificiel et Fouille de Données, AAFD 2008, Université Paris 13, Institut Galilée, Villetaneuse, France, 8-9 avril 2008. RNTI A-3, Cépaduès-Éditions 2009, ISBN 978-2-85428-899-5 [contents] - 2008
- [c7]Emmanuel Viennet:
Recherche de communautés dans les grands réseaux sociaux. AAFD 2008: 145-160 - [e1]Younès Bennani, Emmanuel Viennet:
Apprentissage Artificiel et Fouille de Données, AAFD 2006, Université Paris 13, Institut Galilée, Villetaneuse, France, 27-28 avril 2006. RNTI A-2, Cépaduès-Éditions 2008, ISBN 978-2-85428-808-7 [contents] - 2007
- [j2]Arthur Tenenhaus, Alain Giron, Emmanuel Viennet, Michel Béra, Gilbert Saporta
Kernel logistic PLS: A tool for supervised nonlinear dimensionality reduction and binary classification. Comput. Stat. Data Anal. 51(9): 4083-4100 (2007) - [c6]Sujeevan Aseervatham, Emmanuel Viennet, Younès Bennani
A Semantic Kernel for Semi-structured DocumentS. ICDM 2007: 403-408 - 2006
- [c5]Emmanuel Viennet, Sébastien Guérif, Younès Bennani:
Réduction des dimensions des données en apprentissage artificiel. AAFD 2006: 135-165 - [c4]Sujeevan Aseervatham, Emmanuel Viennet:
Méthodes à noyaux appliquées aux textes structurés. AAFD 2006: 185-207 - [c3]Sujeevan Aseervatham, Aomar Osmani
bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap Representation. ICDM 2006: 792-797 - [i1]Emmanuel Viennet, Françoise Fogelman-Soulié, Benoit Rognier:
Evaluation de Techniques de Traitement des Refusés pour l'Octroi de Crédit. CoRR abs/cs/0607048 (2006) - 2005
- [c2]Emmanuel Viennet, Françoise Fogelman-Soulié:
Le Traitement des Refusés dans le Risque Crédit. DMAS 2005: 22-44
1990 – 1999
- 1999
- [c1]Rodrigo Fernández, Emmanuel Viennet:
Face identification using support vector machines. ESANN 1999: 195-200 - 1993
- [j1]Françoise Fogelman-Soulié, Emmanuel Viennet, Bertrand Lamy:
Multi-Modular Neural Network Architectures: Applications in Optical Character and Human Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 7(4): 721-755 (1993)
Coauthor Index
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