Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari and François Tétreault
Paper (2021)
An external link is available for this itemDepartment: | Department of Computer Engineering and Software Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/47625/ |
Conference Title: | 18th IEEE/ACM International Conference on Mining Software Repositories (MSR 2021) |
Conference Location: | Madrid, Spain |
Conference Date(s): | 2021-05-17 - 2021-05-19 |
Publisher: | Institute of Electrical and Electronics Engineers |
DOI: | 10.1109/msr52588.2021.00025 |
Official URL: | https://doi.org/10.1109/msr52588.2021.00025 |
Date Deposited: | 18 Apr 2023 14:59 |
Last Modified: | 25 Sep 2024 16:36 |
Cite in APA 7: | Fournier, Q., Aloise, D., Azhari, S. V., & Tétreault, F. (2021, May). On improving deep learning trace analysis with system call arguments [Paper]. 18th IEEE/ACM International Conference on Mining Software Repositories (MSR 2021), Madrid, Spain. https://doi.org/10.1109/msr52588.2021.00025 |
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