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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: 19 Oct 2023 09:11
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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