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1 Ergebnisse
1
Towards Fair Disentangled Online Learning for Changing Envi..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Zhao, Chen
;
Mi, Feng
;
Wu, Xintao
... - p. 3480-3491 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599523
RT T1
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
: T1
Towards Fair Disentangled Online Learning for Changing Environments
UL https://suche.suub.uni-bremen.de/peid=acm-3599523&Exemplar=1&LAN=DE A1 Zhao, Chen A1 Mi, Feng A1 Wu, Xintao A1 Jiang, Kai A1 Khan, Latifur A1 Grant, Christan A1 Chen, Feng PB ACM YR 2023 K1 changing environments K1 disentanglement K1 fairness K1 online learning K1 Computing methodologies K1 Artificial intelligence K1 Machine learning K1 Applied computing K1 Law, social and behavioral sciences K1 Social and professional topics K1 User characteristics SP 3480 OP 3491 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599523 DO https://dl.acm.org/doi/10.1145/3580305.3599523 SF ELIB - SuUB Bremen
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