The following publications are possibly variants of this publication:
- PLELog: Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label EstimationLin Yang, Junjie Chen 0003, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, Wenbin Zhang. ICSE 2021: 230-231 [doi]
- Log-based Anomaly Detection Without Log ParsingVan-Hoang Le, Hongyu Zhang. 2021:
- Inductive Multi-view Semi-Supervised Anomaly Detection via Probabilistic ModelingZhen Wang, Maohong Fan, Suresh Muknahallipatna, Chao Lan. icbk 2019: 257-264 [doi]
- Semi-Supervised Anomaly Detection Via Neural ProcessFan Zhou 0002, Guanyu Wang, Kunpeng Zhang, Siyuan Liu, Ting Zhong. tkde, 35(10):10423-10435, October 2023. [doi]
- Transfer Log-based Anomaly Detection with Pseudo LabelsShaohan Huang, Yi Liu, Carol Fung, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan. cnsm 2020: 1-5 [doi]
- SSDLog: a semi-supervised dual branch model for log anomaly detectionSiyang Lu, Ningning Han, Mingquan Wang, Xiang Wei, Zaichao Lin, Dongdong Wang. www, 26(5):3137-3153, September 2023. [doi]