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ORCIDGaëlle Loosli
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2020 – today
- 2021
[c12]Ismaïla Seck, Gaëlle Loosli, Stéphane Canu:
Linear Program Powered Attack. IJCNN 2021: 1-8
2010 – 2019
- 2019
- [c11]Gaëlle Loosli:
TrIK-SVM : an alternative decomposition for kernel methods in Kreı̆n spaces. ESANN 2019 - [c10]Ismaïla Seck, Gaëlle Loosli, Stéphane Canu:
L1-norm double backpropagation adversarial defense. ESANN 2019 - [i4]Gaëlle Loosli:
TrIK-SVM : an alternative decomposition for kernel methods in Krein spaces. CoRR abs/1902.10569 (2019) - [i3]Ismaïla Seck, Gaëlle Loosli, Stéphane Canu:
L 1-norm double backpropagation adversarial defense. CoRR abs/1903.01715 (2019) - 2018
- [i2]Ismaïla Seck, Khouloud Dahmane, Pierre Duthon, Gaëlle Loosli:
Baselines and a datasheet for the Cerema AWP dataset. CoRR abs/1806.04016 (2018) - 2017
- [i1]Gaëlle Loosli, Hattoibe Aboubacar:
Using SVDD in SimpleMKL for 3D-Shapes Filtering. CoRR abs/1712.02658 (2017) - 2016
- [j5]Gaëlle Loosli
, Stéphane Canu, Cheng Soon Ong:
Learning SVM in Kreĭn Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1204-1216 (2016) - [c9]Gaëlle Loosli:
Study on the loss of information caused by the "positivation" of graph kernels for 3D shapes. ESANN 2016 - 2014
- [c8]Hattoibe Aboubacar, Vincent Barra, Gaëlle Loosli:
3D Shape Retrieval using Uncertain Semantic Query - A Preliminary Study. ICPRAM 2014: 600-607 - 2013
- [j4]Pierre Bouges, Thierry Chateau, Christophe Blanc, Gaëlle Loosli:
Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection. EURASIP J. Image Video Process. 2013: 55 (2013) - 2012
- [c7]Pierre Bouges, Thierry Chateau, Christophe Blanc, Gaëlle Loosli:
Using k-nearest neighbors to handle missing weak classifiers in a boosted cascade. ICPR 2012: 1763-1766 - [c6]Pierre Bouges, Thierry Chateau, Christophe Blanc, Gaëlle Loosli:
Improving existing cascaded face classifier by adding occlusion handling. RO-MAN 2012: 120-125 - 2011
- [c5]Benoît Gandar, Gaëlle Loosli, Guillaume Deffuant:
Dispersion Effect on Generalisation Error in Classification - Experimental Proof and Practical Algorithm. ICAART (1) 2011: 703-706
2000 – 2009
- 2007
- [j3]Gaëlle Loosli, Stéphane Canu:
Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets". J. Mach. Learn. Res. 8: 291-301 (2007) - [c4]Gaëlle Loosli, Gilles Gasso, Stéphane Canu:
Regularization Paths for nu -SVM and nu -SVR. ISNN (3) 2007: 486-496 - 2006
- [j2]Gaëlle Loosli, Sans-Goog Lee, Alain Rakotomamonjy:
Perception d'états affectifs et apprentissage. Rev. d'Intelligence Artif. 20(4-5): 553-582 (2006) - 2005
- [j1]Gaëlle Loosli, Stéphane Canu, S. V. N. Vishwanathan, Alexander J. Smola, M. Chattopadhyay:
Boîte à outils SVM simple et rapide. Rev. d'Intelligence Artif. 19(4-5): 741-767 (2005) - [c3]Gaëlle Loosli, Sans-Goog Lee, Stéphane Canu:
Détection de contexte par l'apprentissage. CAP 2005: 111-112 - [c2]Gaëlle Loosli, Sang-Goog Lee, Stéphane Canu:
Rupture detection for context aware applications. ubiPCMM 2005 - 2003
- [c1]Benoît Thirion, Gaëlle Loosli, Magaly Douyère, Stéfan Jacques Darmoni:
Metadata element set in Quality-Controlled Subject Gateway: a step to a health semantic Web. MIE 2003: 707-712
Coauthor Index
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