Articles
2009:
[Conference]:How to optimize sample in active learning : Dispersion, an optimum criterion for classification ?
@ARTICLE(gan_09b,
author = "Gandar B and Loosli G. and Deffuant G.",
title = "How to optimize sample in active learning : Dispersion, an optimum criterion
for classification ?,
journal = Conférence europénne ENBIS",
year = "2009")
[Conference]: Discrépance et dispersion : des indicateurs optimaux en apprentissage ?
@ARTICLE(gan_09a,
author = "Gandar B and Loosli G. and Deffuant G.",
title = " Discrépance et dispersion : des indicateurs optimaux en
apprentissage ",
journal = "Conférence d'apprentissage",
year = "2009")
[Book Chapter]: Optimization in Signal and Image Processing - Chapter 5 : Quadratic programming and learning. Large size and parsimony
@INBOOK(loo_09,
author = "G. Loosli and S. Canu ",
title = "Optimization in Signal and Image Processing",
chapter = "Quadratic programming and learning. Large size and parsimony",
editor = "Patrick Siarry",
publisher = "ISTE - Wiley",
isbn = "9781848210448",
year = "2009")
2008:
[Conference]: BALK : Bandwidth Autosetting for SVM with Local Kernels. Application to data on incomplete grids. pdf
@ARTICLE(loo_08,
author = "G. Loosli and G.Deffuant and S. Canu ",
title = " BALK : Bandwidth Autosetting for SVM with Local Kernels. Application to data on incomplete grids ",
journal = "Conférence d'apprentissage",
year = "2008")
2007:
[Book chapter]: Programmation quadratique et apprentissage. Grande taille et parcimonie
@INBOOK(loo_07a,
author = "G. Loosli and S. Canu ",
chapter = " Programmation quadratique et apprentissage. Grande taille et
parcimonie ",
title = "Optimisation en traitement du signal et de l'image",
editor = "Patrick Siarry",
publisher ="Hermès-Lavoisier",
isbn = "9782746214637",
year = "2007")
[Book chapter]: Training Invariant Support Vector Machines using Selective Sampling
@INBOOK(loo_07b,
author = "Gaëlle Loosli and Léon Bottou and Stéphane Canu",
chapter = {Training Invariant Support Vector Machines using Selective Sampling}
title = "Large Scale Kernel Machines",
editor = "Leon Bottou and Olivier Chapelle and Dennis Decoste",
publisher = "MIT Press",
isbn = "978-0262026253",
year = "2007")
[Journal]: JMLR - Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets'' (pdf)
@ARTICLE(loo_07b,
author = "Gaëlle Loosli and Stéphane Canu",
title = {Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"}
journal = "JMLR ",
volume = "8",
ISSN = "1533-7928",
publisher = "MIT Press",
year = "2007")
[Conference]: ISNN - Regularization paths for nu-SVM and nu-SVR (pdf)
@ARTICLE(loo_07c,
author = "Gaëlle Loosli and Gilles Gasso Stéphane Canu",
title = {Regularization paths for nu-SVM and nu-SVR}
journal = "ISNN, International Symposium on Neural Networks",
year = "2007")
2006:
[Thesis]: Méthodes à noyaux pour l'apprentissage de contexte. Vers un fonctionnement autonome des méthodes à noyaux : pdf , présentation
@THESIS(loo_06d,
author = "G. Loosli",
title = " Méthodes à noyaux pour l'apprentissage
de
contexte. Vers un fonctionnement autonome des méthodes
à
noyaux ",
year = "2006")
[Journal]: RIA Interactions Emotionnelles - Perception d'états affectifs et apprentissage : pdf
@ARTICLE(loo_06a,
author = "G. Loosli and Sang-Goog Lee and V. Guigue and A.
Rakotomamonjy and S. Canu ",
title = " Perception d'états affectifs et apprentissage ",
journal = "RIA – Revue d'intelligence artificielle, Edition
spéciale Interactions Emotionnelles ",
year = "2006")
[Conference]: TICE 2006 - Un outil générique pour l'analyse automatique et la visualisation de productions d'apprenants : pdf
@ARTICLE(loo_06c,
author = "Fabien Delorme and Gaëlle Loosli",
title = "Un outil générique pour l'analyse
automatique et
la visualisation de productions d'apprenants",
journal = "TICE ",
year = "2006")
[Conference]: CAp'06 - SVM et apprentissage des très grandes bases de données: pdf
@ARTICLE(loo_06b,
author = "Gaëlle Loosli and Stéphane Canu and
Léon Bottou",
title = " SVM et apprentissage des très grandes bases de
données ",
journal = "CAp – Conférence d'apprentissage ",
year = "2006")
2005:
[Journal]: RIA - Boîte à outils SVM simple et rapide : pdf
@ARTICLE(loo_05e,
author = "G. Loosli and S. Canu and S.V.N. Vishwanathan and Alexander
J. Smola and Monojit Chattopadhyay",
title = "Boîte à outils SVM simple et rapide",
journal = "RIA – Revue d'intelligence artificielle",
volume = "19",
year = "2005")
[Workshop]: UbiPMM'05 - Rupture detection for context aware applications
@ARTICLE(loo_05d,
author = "Gaëlle Loosli and Sang-Goog Lee and Stéphane Canu",
title = "Rupture detection for context aware applications",
journal = "CEUR Workshop ",
issn = "1613-0073",
year = "2005")
[Workshop] UM'05 - Context changes detection by one-class SVMs (pdf)
@ARTICLE(loo_05c,
author = "Gaëlle Loosli and Sang-Goog Lee and Stéphane Canu",
title = "Context changes detection by one-class SVMs",
journal = "UM 2005 – Workshop on Machine Learning for User Modeling: Challenges",
year = "2005")
[Poster]: Cap'05 - Context Retrieval by Rupture Detection (pdf)
@ARTICLE(loo_05b,
author = "Gaëlle Loosli and Sang-Goog Lee and Stéphane Canu",
title = "Context Retrieval by Rupture Detection",
journal = "Cap 2005 – Conférence d'Apprentissage",
year = "2005")
[Conference]: ASMDA'05 - Invariances in Classification : an efficient SVM implementation (pdf)
@ARTICLE(loo_05,
author = "G.Loosli and S. Canu and S.V.N. Vishwanathan and Alexander J.Smola",
title = "Invariances in Classification : an efficient SVM implementation",
journal = "ASMDA 2005 - Applied Stochastic Models and Data Analysis",
year = "2005"
)
2004:
[Conférence]: CAp'04 - Une boîte à outils rapide et simple pour les SVM : ps
@ARTICLE(loo_04,
author = "G.Loosli and S. Canu and S.V.N. Vishwanathan and Alexander J.
Smola and Monojit Chattopadhyay",
title = "Une boîte à outils rapide et simple pour
les SVM",
journal = "CAp 2004 - Conférence d'Apprentissage",
year ="2004",
editor = "Michel Liquière and Marc Sebban",
pages = "113-128",
publisher = "Presses Universitaires de Grenoble",
isbn = "9-782706-112249"
)
2003:
[Conférence]: RJCIA2003 - Détection des activités quotidiennes à l'aide des Séparateurs à Vaste Marge : pdf
@ARTICLE(loo_03,
author = "G.Loosli and S. Canu and A. Rakotomamonjy",
title = "Détection des activités quotidiennes
à
l'aide des séparateurs à Vaste Marge",
journal = "RJCIA2003 - 6eme Rencontres Nationales des Jeunes Chercheurs
en Intelligence Artificielle",
year = "2003",
editor = "Florence Dupin de Saint-Cyr",
pages = "139-152",
publisher= "Presses Universitaires de Grenoble",
isbn ="2-7061-1143-7"
)
Technical reports
2006:
[Report] : LASVM and invariances : pdf
[Report] : Study on the effects of parameters on SVM depending on the solver (SMO, SimpleSVM, CVM) : pdf
[Report] : nuSVM regularization path and LOO stopping criteria : pdf
Misc
2006:
[Presentation] : Groupe de travail du département de statistiques de Berkeley. Setting the SVM hyper-parameters using the regularization path. Berkeley, octobre 2006. (présentation)
[Poster] : Workshop for Women in Machine Learning. Setting the SVM hyper-parameters using the regularization path. San Diego, octobre 2006.(poster)
[Presentation] : SVM, traitement des données en ligne et invariances, quelles solutions? LOOSLI Gaëlle, Journées d'Etudes Co-organisées par le Club 29 de la SEE et le GDR-ISIS les 23 et 24 Mars 2006, Paris (website,présentation )
2005:
[Presentation] : LASVM Applied to Invariant Problems – Gaëlle Loosli, NIPS 2005, Workshop on Large scale kernel methods, Whistler. (website, présentation)
[Demo session / tutorials] : SimpleSVM demo – Gaëlle Loosli, MLSS 2005 (Machine Learning Summer School), Chicago. (website)
2004:
[Demo session] : NIPS'04 - Fast Toolbox in Matlab for SVMs – Gaëlle Loosli, NIPS 2004
[Poster] : MLMI'04 - Learning human activity and support vector machines: on-going investigation - Gaëlle Loosli and Vincent Guigue and Stéphane Canu and Alain Rakotomamonjy, MLMI 2004