Differences

This shows you the differences between two versions of the page.

--- bib:viper_conf [2017/12/22 10:34]
marchand
+++ bib:viper_conf [2023/04/07 17:59] (current)
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,
   author    = {Magda Gregorova and Alexandros Kalousis and Stephane Marchand-Maillet},