Class-Y Project


Presentation

Activities

Private Sections

Publications


Ouvrage

  • M.-R. Amini, E. Gaussier « Recherche d’information – Applications, Modèles et Algorithmes » Eyrolles 2013, ISBN 978-2-212-13532-9.

Journal Papers :

  • Aris Kosmopoulos, Ioannis Partalas, Éric Gaussier, Georgios Paliouras, Ion Androutsopoulos, Evaluation Measures for Hierarchical Classification: a unified view and novel approaches (submitted), 2013

Conference Papers :

  • Comparative Classifier Evaluation for Web-scale Taxonomies using Power Law (poster) Rohit Babbar, Ioannis Partalas, Cornelia Metzig, Eric Gaussier, Massih-Reza Amini, In European Semantic Web Conference, 2013.
  • Rohit Babbar, Ioannis Partalas, Eric Gaussier, Massih-Reza Amini, Maximum-margin Framework for Training Data Synchronization in Large-scale Hierarchical Classification, ICONIP, 2013.
  • Rohit Babbar, Ioannis Partalas, Eric Gaussier, Massih-Reza Amini, On Flat versus Hierarchical Classification in Large-Scale Taxonomies, Neural Information Processing Systems (NIPS), 2013.
  • Moustapha Cissé, Nicolas Usunier, Thierry Artières, Patrick Gallinari, Robust Bloom Filters for Large Multilabel Classification Tasks, Neural Information Processing Systems (NIPS), 2013.
  • Ali Fakeri-Tabrizi; Massih-Reza Amini; Patrick Gallinari, Multiview Semi-Supervised Ranking for Automatic Image Annotation, ACM Multimedia, 2013.
  • Adaptive Classifier Selection in Large-Scale Hierarchical Classification Ioannis Partalas, Rohit Babbar, Eric Gaussier, Cecile Amblard, Chapter in Neural Information Processing (Tingwen Huang, Zhigang Zeng, Chuandong Li, ChiSing Leung, eds.), Springer Berlin Heidelberg, volume 7665, 2012.
  • On empirical tradeoffs in large scale hierarchical classification Rohit Babbar, Ioannis Partalas, Eric Gaussier, Cecile Amblard, In Proceedings of the 21st ACM international conference on Information and knowledge management, 2012.
  • Moustapha Cissé, Thierry Artières, Patrick Gallinari, Learning compact class codes for fast inference in large multi-class classification, European Conference of Machine Learning (ECML/PKDD), 2012.

Workshop Papers :

  • Moustapha Cissé, Thierry Artières, Patrick Gallinari, Learning efficient error correcting output codes for large hierarchical multi-class problems, LSHTC/ECML-PKDD workshop, 2011