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1 Ergebnisse
1
Samba : Identifying Inappropriate Videos for Young Child..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Binh, Le
;
Tandon, Rajat
;
Oinar, Chingis
... - p. 88-97 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557442
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Samba : Identifying Inappropriate Videos for Young Children on YouTube</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557442&Exemplar=1&LAN=DE A1 Binh, Le A1 Tandon, Rajat A1 Oinar, Chingis A1 Liu, Jeffrey A1 Durairaj, Uma A1 Guo, Jiani A1 Zahabizadeh, Spencer A1 Ilango, Sanjana A1 Tang, Jeremy A1 Morstatter, Fred A1 Woo, Simon A1 Mirkovic, Jelena PB ACM YR 2022 K1 inappropriate video detection K1 video dataset K1 young children K1 youtube video K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Adversarial learning SP 88 OP 97 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557442 DO https://dl.acm.org/doi/10.1145/3511808.3557442 SF ELIB - SuUB Bremen
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