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"Get in Researchers; We're Measuring Reproducibility": A Re..:
, In:
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
,
Olszewski, Daniel
;
Lu, Allison
;
Stillman, Carson
... - p. 3433-3459 , 2023
Link:
https://dl.acm.org/doi/10.1145/3576915.3623130
RT T1 <cTitle>Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security</cTitle>: T1 <Title>"Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3623130&Exemplar=1&LAN=DE A1 Olszewski, Daniel A1 Lu, Allison A1 Stillman, Carson A1 Warren, Kevin A1 Kitroser, Cole A1 Pascual, Alejandro A1 Ukirde, Divyajyoti A1 Butler, Kevin A1 Traynor, Patrick PB ACM YR 2023 K1 machine learning K1 meta-science K1 reproducibility K1 security K1 General and reference K1 Cross-computing tools and techniques K1 Measurement K1 Validation K1 Computing methodologies K1 Machine learning K1 Cross-validation SP 3433 OP 3459 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3576915.3623130 DO https://dl.acm.org/doi/10.1145/3576915.3623130 SF ELIB - SuUB Bremen
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