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Cedric Noiseux
Cedric Noiseux
CRIM
Verified email at crim.ca
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Keep it simple: Is deep learning good for linguistic smell detection?
S Fakhoury, V Arnaoudova, C Noiseux, F Khomh, G Antoniol
2018 IEEE 25Th international conference on software analysis, evolution and …, 2018
522018
Recommending when design technical debt should be self-admitted
F Zampetti, C Noiseux, G Antoniol, F Khomh, M Di Penta
2017 IEEE International Conference on Software Maintenance and Evolution …, 2017
492017
Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge.
J Alam, G Boulianne, L Burget, M Dahmane, MD Sánchez, A Lozano-Diez, ...
Odyssey, 289-295, 2020
142020
Applying machine learning to earth observations in a standards based workflow
T Landry, D Byrns, F Charette-Migneault, M Beaulieu, PL St-Charles, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
72019
Object counting on low quality images: a case study of near real-time traffic monitoring
JF Rajotte, M Sotir, C Noiseux, LP Noel, T Bertiere
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
22018
Abc system description for nist multimedia speaker recognition evaluation 2019
J Alam, G Boulianne, L Burget, O Glembek, AD Lozano, P Matejka, ...
Proceedings of NIST 2019 SRE Workshop, 1-7, 2019
12019
Recommending When Design Technical Debt Should Be Self-admitted
C Noiseux
Ecole Polytechnique, Montreal (Canada), 2017
2017
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