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1 Ergebnisse
1
DriftGAN: Using historical data for Unsupervised Recurring ..:
, In:
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
,
Fellicious, Christofer
;
Julka, Sahib
;
Wendlinger, Lorenz
. - p. 368-369 , 2024
Link:
https://dl.acm.org/doi/10.1145/3605098.3636098
RT T1 <cTitle>Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>DriftGAN: Using historical data for Unsupervised Recurring Drift Detection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3636098&Exemplar=1&LAN=DE A1 Fellicious, Christofer A1 Julka, Sahib A1 Wendlinger, Lorenz A1 Granitzer, Michael PB ACM YR 2024 K1 drift detection K1 unsupervised drift detection K1 generative adversarial networks K1 recurring drift K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Feature selection K1 Learning paradigms K1 Unsupervised learning K1 Anomaly detection K1 Machine learning approaches K1 Neural networks K1 Learning settings K1 Active learning settings SP 368 OP 369 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3605098.3636098 DO https://dl.acm.org/doi/10.1145/3605098.3636098 SF ELIB - SuUB Bremen
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