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bib:viper_conf [2017/12/20 17:44]
marchand
bib:viper_conf [2023/04/07 17:59]
marchand
Line 1: Line 1:
 +    @inproceedings{ruiz:​sisap2022,​
 +  author ​   = {Ubaldo Ruiz and
 +               ​St{\'​{e}}phane Marchand{-}Maillet and
 +               Edgar Ch{\'​{a}}vez},​
 +  editor ​   = {Tom{\'​{a}}s Skopal and
 +               ​Fabrizio Falchi and
 +               Jakub Lokoc and
 +               Maria Luisa Sapino and
 +               ​Ilaria Bartolini and
 +               Marco Patella},
 +  title     = {Stable Anchors for Matching Unlabelled Point Clouds},
 +  booktitle = {Similarity Search and Applications - 15th International Conference,
 +               ​{SISAP} 2022, Bologna, Italy, October 5-7, 2022, Proceedings},​
 +  series ​   = {Lecture Notes in Computer Science},
 +  volume ​   = {13590},
 +  pages     = {54--63},
 +  publisher = {Springer},
 +  year      = {2022},
 +  url       = {https://​doi.org/​10.1007/​978-3-031-17849-8\_5},​
 +  doi       = {10.1007/​978-3-031-17849-8\_5},​
 +  timestamp = {Tue, 04 Oct 2022 20:28:43 +0200},
 +  biburl ​   = {https://​dblp.org/​rec/​conf/​sisap/​RuizMC22.bib},​
 +  bibsource = {dblp computer science bibliography,​ https://​dblp.org}
 +}
 +
 +
 +   ​@InProceedings{marchand:​sisap2022,​
 +author="​Marchand-Maillet,​ Stephane
 +and Ch{\'​a}vez,​ Edgar",​
 +editor="​Skopal,​ Tom{\'​a}{\v{s}}
 +and Falchi, Fabrizio
 +and Loko{\v{c}},​ Jakub
 +and Sapino, Maria Luisa
 +and Bartolini, Ilaria
 +and Patella, Marco",​
 +title="​HubHSP Graph: Effective Data Sampling for Pivot-Based Representation Strategies",​
 +booktitle="​Similarity Search and Applications",​
 +year="​2022",​
 +publisher="​Springer International Publishing",​
 +address="​Bologna,​ Italy",​
 +pages="​164--177",​
 +abstract="​Given a finite dataset in a metric space, we investigate the definition of a representative sample. Such a definition is important in data analysis strategies to seed algorithms (such as {\$}{\$}k{\$}{\$}-means) and for pivot-based data indexing techniques. We discuss the geometrical and statistical facets of such a definition.",​
 +isbn="​978-3-031-17849-8",​
 +note{(Best paper award)}
 +}
 +
 +
 +
 +  @inproceedings{marini:​iccvw2021,​
 +  author ​   = {Niccol{\`{o}} Marini and
 +               ​Manfredo Atzori and
 +               ​Sebastian Ot{\'​{a}}lora and
 +               ​Stephane Marchand-Maillet and
 +               ​Henning M{\"​{u}}ller},​
 +  title     = {H{\&​}E-adversarial network: a convolutional neural network to
 +               learn stain-invariant features through Hematoxylin {\&} Eosin
 +               ​regression},​
 +  booktitle = {{IEEE/CVF} International Conference on Computer Vision Workshops,
 +               ​{ICCVW} 2021, Montreal, BC, Canada, October 11-17, 2021},
 +  pages     = {601--610},
 +  publisher = {{IEEE}},
 +  year      = {2021},
 +  url       = {https://​doi.org/​10.1109/​ICCVW54120.2021.00073},​
 +  doi       = {10.1109/​ICCVW54120.2021.00073}
 +}
 +
 +
 +
 +   ​@inproceedings{messina:​cbmi2021,​
 +  author ​   = {Nicola Messina and Giuseppe Amato and Fabrizio Falchi and Claudio Gennaro and Stephane Marchand-Maillet},​
 +  title     = {Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features},
 +  booktitle = {18th International Conference on Content-Based Multimedia Indexing, {CBMI} 2021, Lille, France, June 28-30, 2021},
 +  pages     = {1--6},
 +  publisher = {{IEEE}},
 +  year      = {2021},
 +  url       = {https://​doi.org/​10.1109/​CBMI50038.2021.9461890}
 +}
 +
 +   ​@inproceedings{pedreira:​sisap2020,​
 +  author ​   = {Oscar Pedreira and Stephane 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{marchand:​sisap2021,​
 +  author ​   = {Stephane Marchand-Maillet and Oscar Pedreira and Edgar Chavez},
 +  title     = {Structural Intrinsic Dimensionality},​
 +  booktitle = {Similarity Search and Applications - 14th International Conference (SISAP2021)}, ​  
 +  address = {Dortmund, DE - online},
 +  year      = {2021},
 +
 +
 +
 +   ​@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,​
 +  author ​   = {Xavier Ouvrard and Jean-Marie Le Goff and Stephane Marchand-Maillet},​
 +  title     = {The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets},
 +  booktitle = {46th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2020},
 +  year      = {2020},
 +  url = {https://​arxiv.org/​abs/​1905.11695}
 +  }
 +  ​
 +   ​@inproceedings{brangbour:​ci2019,​
 +  author ​   = {Etienne Brangbour and Pierrick Bruneau and Stéphane Marchand-Maillet and Renaud Hostache and Marco Chini and Patrick Matgen and Thomas Tamisier},
 +  title     = {Computing flood probabilities using Twitter: application to the Houston urban area during {Harvey}},
 +  booktitle = {Climate Informatics 2019},
 +  year      = {2019},
 +  }
 +
 +
 +
 +   ​@inproceedings{hoyos:​sisap2019,​
 +  author ​   = {Angello Hoyos and Ubaldo Ruiz and Stephane Marchand-Maillet and Edgar Chavez},
 +  title     = {Indexability-Based Dataset Partitioning},​
 +  booktitle = {Similarity Search and Applications - 12th International Conference,
 +               ​{SISAP} 2019, Newark, NJ, USA, October 2-4, 2019, Proceedings},​
 +  pages     = {143--150},
 +  year      = {2019},
 +  url       = {https://​doi.org/​10.1007/​978-3-030-32047-8},​
 +  doi       = {10.1007/​978-3-030-32047-8\_13}
 +  }
 +
 +
 +   ​@inproceedings{gregorova:​uai2018,​
 +   ​author = { Magda Gregorová and Alexandros Kalousis and Stéphane Marchand-Maillet },
 +    title = {Structured Non-linear Variable Selection},
 +  booktitle = {Conference on Uncertainty in Artificial Intelligence UAI2018},
 +  address = {Monterey, CA},
 +  year      = {2018},
 +}
 +
 +   ​@inproceedings{gregorova:​ecml2018,​
 +   ​author = { Magda Gregorová and Jason Ramapuram and Alexandros Kalousis and Stéphane Marchand-Maillet },
 +    title = { Large-scale Nonlinear Variable Selection via Kernel Random Features. },
 +  booktitle = {ECML/PKDD 2018},
 +  address = {Dublin, IE},
 +  year      = {2018},
 +}
 +
 +   ​@inproceedings{ouvrard:​MCCC322018,​
 +  author ​   = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},​
 +  title     = {On {Hb}-graphs and their application to hypergraph e-adjacency tensor},
 +  booktitle = {MCCCC 32 - Midwest Conference on Combinatorics and Combinatorial Computing},
 +  address = {Duluth, USA},
 +  year      = {2018},
 +}
 +
 +   ​@inproceedings{ouvrard:​IMA2018,​
 +  author ​   = {Xavier Ouvrard and Jean-Marie Le Goff and Stéphane Marchand-Maillet},​
 +  title     = {On Adjacency and e-Adjacency in General Hypergraphs:​ Towards a New e-Adjacency Tensor},
 +  booktitle = {IMA Conference on Theoretical and Computational Discrete Mathematics},​
 +  address = {Derby, UK},
 +  year      = {2018},
 +}
 +
    ​@inproceedings{gregorova:​ecml2017,​    ​@inproceedings{gregorova:​ecml2017,​
   author ​   = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet},​   author ​   = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet},​
Line 12: Line 185:
   booktitle = {Asian Conference on Machine Learning (ACML2017)},​   booktitle = {Asian Conference on Machine Learning (ACML2017)},​
   address = {Soul, South Korea},   address = {Soul, South Korea},
-  year      = {2017}, 
-} 
- 
-  @inproceedings{romanrangel:​mcpr2017,​ 
-  author ​   = {Edgar Roman-Rangel and Stephane Marchand-Maillet},​ 
-  title     = {Assessing Deep Learning Architectures for Vizualising Maya Hieroglyphs},​ 
-  booktitle = {Mexican Conference on Pattern Recognition (MCPR2017)},​ 
-  address = {Mexico, MX}, 
   year      = {2017},   year      = {2017},
 } }
bib/viper_conf.txt · 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