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LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak
  Supervision

LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision

2 November 2021
Thorsten Wittkopp
Philipp Wiesner
Dominik Scheinert
Alexander Acker
ArXivPDFHTML

Papers citing "LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision"

3 / 3 papers shown
Title
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
Thorsten Wittkopp
Dominik Scheinert
Philipp Wiesner
Alexander Acker
O. Kao
AI4TS
18
6
0
25 Jan 2023
LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph
  Construction
LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction
Hongcheng Guo
Yu Guo
Renjie Chen
Jian Yang
Jiaheng Liu
Zhoujun Li
Tieqiao Zheng
Weichao Hou
Liangfan Zheng
Bo Zhang
18
13
0
23 Aug 2022
A2Log: Attentive Augmented Log Anomaly Detection
A2Log: Attentive Augmented Log Anomaly Detection
Thorsten Wittkopp
Alexander Acker
S. Nedelkoski
Jasmin Bogatinovski
Dominik Scheinert
Wu Fan
O. Kao
19
22
0
20 Sep 2021
1