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Titre |
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| [41] |
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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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| [42] |
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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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| [43] |
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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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| [44] |
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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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| [45] |
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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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| [46] |
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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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| [47] |
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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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| [48] |
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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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| [49] |
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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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| [50] |
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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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