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Adversarial Deep Domain Adaptation Method for Unsupervised Anomaly Detection

Year: 2024

Type: conference-paper

Source: International Conference on 6G Networking (6GNet)

DOI: 10.1109/6gnet63182.2024.10765658

Authors: Yoichi Matsuo, Kengo Tajiri

Institution: NTT (Japan)

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4404916470

FWCI:

Cites: 29

Cited by:

Related to: 10