Deep Learning for Anomaly Detection in Log Data: A Survey

8 July 2022

Papers citing "Deep Learning for Anomaly Detection in Log Data: A Survey"

7 / 7 papers shown

Title
System Log Parsing with Large Language Models: A Review Viktor Beck Max Landauer Markus Wurzenberger Florian Skopik Andreas Rauber 35 0 0 07 Apr 2025
Log Anomaly Detection on EuXFEL Nodes Antonin Sulc Annika Eichler T. Wilksen 29 0 0 13 Oct 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 30 3 0 25 May 2023
LogGD:Detecting Anomalies from System Logs by Graph Neural Networks Yongzhen Xie Hongyu Zhang M. Babar AI4TS 10 20 0 16 Sep 2022
A2Log: Attentive Augmented Log Anomaly Detection Thorsten Wittkopp Alexander Acker S. Nedelkoski Jasmin Bogatinovski Dominik Scheinert Wu Fan O. Kao 32 22 0 20 Sep 2021
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers Leticia Decker Daniel F Leite Fabio Viola D. Bonacorsi 31 13 0 08 Apr 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 281 31,267 0 16 Jan 2013