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1 Ergebnisse
1
Machine learning data practices through a data curation len..:
, In:
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency
,
Bhardwaj, Eshta
;
Gujral, Harshit
;
Wu, Siyi
... - p. 1055-1067 , 2024
Link:
https://dl.acm.org/doi/10.1145/3630106.3658955
RT T1 <cTitle>Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>Machine learning data practices through a data curation lens: An evaluation framework</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3658955&Exemplar=1&LAN=DE A1 Bhardwaj, Eshta A1 Gujral, Harshit A1 Wu, Siyi A1 Zogheib, Ciara A1 Maharaj, Tegan A1 Becker, Christoph PB ACM YR 2024 K1 data practices K1 dataset creation K1 datasets K1 datasheets K1 documentation K1 evaluation K1 machine learning K1 rubric K1 Human-centered computing K1 Collaborative and social computing K1 Empirical studies in collaborative and social computing K1 Computing methodologies K1 Machine learning K1 General and reference K1 Cross-computing tools and techniques K1 Evaluation SP 1055 OP 1067 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3630106.3658955 DO https://dl.acm.org/doi/10.1145/3630106.3658955 SF ELIB - SuUB Bremen
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