Identification of out-of-distribution cases of CNN using class-based surprise adequacy

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
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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