| 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 | 59 | 2017 |
| 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 | 58 | 2018 |
| 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 | 16 | 2020 |
| 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 | 7 | 2019 |
| 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 | 3 | 2018 |
| 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 | 1 | 2019 |
| Recommending When Design Technical Debt Should Be Self-admitted C Noiseux Ecole Polytechnique, Montreal (Canada), 2017 | | 2017 |
