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Title
[1] 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",
Accepted in Nature Communications, 2018.
[2] 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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[3] 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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[4] 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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[5] 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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[6] 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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[7] 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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[8] 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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[9] Léon Nshimyumukiza, Jean-Alexandre Beaumont, Julie Duplantie, S Langlois, J Little, F Audibert, C McCabe, Jean Gekas, Yves Giguère, Christian Gagné, Daniel Reinharz and François Rousseau,
"Cell-Free DNA–Based Non-invasive Prenatal Screening for Common Aneuploidies in a Canadian Province: A Cost-Effectiveness Analysis",
Journal of Obstetrics and Gynaecology Canada, vol. 40, no 1, pp. 48--60, 01 2018.
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[10] Audrey Durand, Jean-Alexandre Beaumont, Christian Gagné, Michel Lemay and Sébastien Paquet,
"Query Completion Using Bandits for Engines Aggregation",
in Reinforcement Learning and Decision Making (RLDM), 06 2017.
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