Work

RAAD: Reinforced Adversarial Anomaly Detector

Year: 2024

Type: conference-paper

Source: ACM Symposium on Applied Computing

DOI: 10.1145/3605098.3635920

Authors: Simon S Woo, Daeyoung Yoon, Yuseung Gim, Eunseok Park

Institutions: Sungkyunkwan University, Kakao Corporation (South Korea)

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4398186408

FWCI: 1.567

Cites: 22

Cited by: 7

Related to: 10