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bib:viper_conf [2019/10/25 09:16]
marchand
bib:viper_conf [2021/03/23 16:08]
marchand
Line 1: Line 1:
 +   ​@inproceedings{pedreira:​sisap2020,​
 +  author ​   = {Oscar Pedreira and St{\'​{e}}phane Marchand{-}Maillet and Edgar Ch{\'​{a}}vez},​
 +  title     = {Reverse k-Nearest Neighbors Centrality Measures and Local Intrinsic Dimension},
 +  booktitle = {Similarity Search and Applications - 13th International Conference (SISAP2020)}, ​  
 +  address = {Copenhagen,​ DK - online},
 +  year      = {2020},
 +
 +
 +
 +   ​@inproceedings{brangbour:​cdve2020,​
 +  author ​   = {Etienne Brangbour and Pierrick Bruneau and Thomas Tamisier and St{\'​{e}}phane Marchand{-}Maillet},​
 +  title     = {Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers},​
 +  booktitle = {Cooperative Design, Visualization,​ and Engineering - 17th International
 +               ​Conference,​ {CDVE}}, ​  
 +  address = {Bangkok, TH - online},
 +  year      = {2020},
 +
 +
 +   ​@inproceedings{romanrangel:​mcpr2020,​
 +  author ​   = {Edgar Roman-Rangel and Stephane Marchand-Maillet},​
 +  title     = {Orthogonal Local Image Descriptors with Convolutional Autoencoders},​
 +  booktitle = {Mexican Conference on Pattern Recognition (MCPR2020)}, ​  
 +  address = {Morelia, MX},
 +  year      = {2020},
 +
 +
     @inproceedings{ouvrard:​sofsem2020,​     @inproceedings{ouvrard:​sofsem2020,​
   author ​   = {Xavier Ouvrard and Jean-Marie Le Goff and Stephane Marchand-Maillet},​   author ​   = {Xavier Ouvrard and Jean-Marie Le Goff and Stephane Marchand-Maillet},​
bib/viper_conf.txt ยท Last modified: 2024/04/24 22:32 by marchand
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Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion