Mira Marhaba, Ettore Merlo
, Foutse Khomh and Giuliano Antoniol
Paper (2022)
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| Department: |
Department of Chemical Engineering Department of Computer Engineering and Software Engineering |
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| ISBN: | 9781450392754 |
| PolyPublie URL: | https://publications.polymtl.ca/51463/ |
| Conference Title: | IEEE/ACM 1st International Conference on AI Engineering - Software Engineering for AI (CAIN 2022) |
| Conference Location: | Pittsburgh, PA, USA |
| Conference Date(s): | 2022-05-16 - 2022-05-17 |
| Publisher: | IEEE |
| DOI: | 10.1145/3522664.3528617 |
| Official URL: | https://doi.org/10.1145/3522664.3528617 |
| Date Deposited: | 18 Apr 2023 14:59 |
| Last Modified: | 25 Sep 2024 16:42 |
| Cite in APA 7: | Marhaba, M., Merlo, E., Khomh, F., & Antoniol, G. (2022, May). Identification of out-of-distribution cases of CNN using class-based surprise adequacy [Paper]. IEEE/ACM 1st International Conference on AI Engineering - Software Engineering for AI (CAIN 2022), Pittsburgh, PA, USA. https://doi.org/10.1145/3522664.3528617 |
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