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[1] |
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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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