Sequential Adversarial Anomaly Detection for One-Class Event Data
- Shixiang Zhu ,
Shixiang Zhu
[email protected]https://orcid.org/0000-0002-2241-6096
Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213;
- Henry Shaowu Yuchi,
Henry Shaowu Yuchi
[email protected]H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
- Minghe Zhang,
Minghe Zhang
[email protected]H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
- Yao Xie
Corresponding Author
Yao Xie
[email protected]https://orcid.org/0000-0001-6777-2951
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
Shixiang Zhu
[email protected]https://orcid.org/0000-0002-2241-6096
Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213;
Henry Shaowu Yuchi
[email protected]H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
Minghe Zhang
[email protected]H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
Corresponding Author
Yao Xie
[email protected]https://orcid.org/0000-0001-6777-2951
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
