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REPARTI

MIVIM

Titre
[1] Mahdieh Abbasi and Christian Gagné,
"Robustness to Adversarial Examples through an Ensemble of Specialists",
ArXiv e-prints, vol. 1702.06856, 2 2017.
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[2] Julien-Charles Lévesque, Audrey Durand, Christian Gagné and Robert Sabourin,
"Bayesian Optimization for Conditional Hyperparameter Spaces",
in Accepted at the International Joint Conference on Neural Networks (IJCNN), IEEE, 05 2017.
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[3] Audrey Durand and Christian Gagné,
"Estimating Quality in User-Guided Multi-Objective Bandits Optimization",
ArXiv e-prints, vol. 1701.01095, 1 2017.
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[4] Farnoosh Ghadiri, Robert Bergevin and Guillaume-Alexandre Bilodeau,
"Carried Object Detection based on an Ensemble of Contour Exemplars",
in European Conference on Computer Vision (ECCV), (Amsterdam, Pays-Bas), October 2016.
[5] Mana Shahriari and Robert Bergevin,
"A two-stage outdoor – indoor scene classification framework: experimental study for the outdoor stage",
in International Conference on Digital Image Computing: Techniques and Applications (DICTA), (Surfers Paradise, Australia), November 30 - December 2 2016.
[6] Mana Shahriari and Robert Bergevin,
"Can Contextual Information Improve Scene Classification",
in International Conference on Digital Image Computing: Techniques and Applications (DICTA), (Surfers Paradise, Australia), November 30 - December 2 2016.
[7] Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau and Robert Bergevin,
"Fast Image Gradients Using Binary Feature Convolutions",
in IEEE Workshop on Robust Features for Computer Vision ROF 2016 (CVPR 2016), (Las Vegas, USA), July 2016.
[8] Farkhondeh Kiaee, Christian Gagné and Mahdieh Abbasi,
"Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks",
ArXiv e-prints, vol. 1611.01590, 11 2016.
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[9] Farkhondeh Kiaee, Christian Gagné and Hamid Sheikhzadeh,
"A Double-Layer ELM with Added Feature Selection Ability using a Sparse Bayesian Approach",
Neurocomputing, vol. 216, pp. 371‎ -- ‎380, 2016.
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[10] Sophie Baillargeon, Simon Hallé and Christian Gagné,
"Stream Clustering of Tweets",
in First International Workshop on Social Network Analysis Surveillance Techniques (SNAST 2016), 8 2016.
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