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Azadeh Mozafari, Hugo Siqueira Gomes, Steeven Janny and Christian Gagné,
" A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks",
ArXiv e-prints, vol. 1810.11586, 10 2018. |
 
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| [2] |
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Changjian Shui, Ihsen Hedhli and Christian Gagné,
" Accumulating Knowledge for Lifelong Online Learning",
ArXiv e-prints, vol. 1810.11479, 10 2018. |
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| [3] |
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Audrey Durand, Theresa Wiesner, Marc-André Gardner, Louis-Émile Robitaille, Anthony Bilodeau, Christian Gagné, Paul De Koninck and Flavie Lavoie-Cardinal,
"A machine learning approach for automated optimization of super-resolution optical microscopy",
Nature Communications, vol. 9, no 5247, 12 2018. |
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| [4] |
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Mahdieh Abbasi, Arezoo Rajabi, Azadeh Mozafari, Rakesh B. Bobba and Christian Gagné,
"Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection",
ArXiv e-prints, vol. 1808.08282, 8 2018. |
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| [5] |
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Alejandro Cervantes, Christian Gagné, Pedro Isasi and Marc Parizeau,
"Evaluating and Characterizing Incremental Learning from Non-Stationary Data",
ArXiv e-prints, vol. 1806.06610, 6 2018. |
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| [6] |
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Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné and Rakesh B. Bobba,
"Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning",
in DSN Workshop on Dependable and Secure Machine Learning (DSML 2018), June 2018. |
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| [7] |
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Ahmed Najjar, Daniel Reinharz, Catherine Girouard and Christian Gagné,
"A Two-Step Approach for Mining Patient Treatment Pathways in Administrative Healthcare Databases",
Artificial Intelligence in Medecine, vol. 87, 05 2018. |
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| [8] |
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Karol Lina Lopez and Christian Gagné,
"Optimal Scheduling for Smart Charging of Electric Vehicles using Dynamic Programming",
in Proc. of the Canadian Conference on Artificial Intelligence, 2018. |
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| [9] |
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Karol Lina Lopez, Christian Gagné and Marc-André Gardner,
"Demand-Side Management using Deep Learning for Smart Charging of Electric Vehicles",
IEEE Transactions on Smart Grid (in-press), 2018. |
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| [10] |
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Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck and Flavie Lavoie-Cardinal,
"Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy",
in Innovative Applications of Artificial Intelligence (IAAI-18), pp. 6, 02 2018. |
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