Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection

31 August 2020

Papers citing "Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection"

9 / 9 papers shown

Title
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Jiaxing Qi Chang Zeng Zhongzhi Luan Shaohan Huang Songlin Yang Yao Lu Hailong Yang D. Qian 44 0 0 21 Jan 2025
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time Sequences Davide Gabrielli Bardh Prenkaj Paola Velardi 34 0 0 04 Jul 2024
Backdoor Attack against One-Class Sequential Anomaly Detection Models He Cheng Shuhan Yuan SILM AAML 27 1 0 15 Feb 2024
Abnormal Event Detection via Hypergraph Contrastive Learning Bo Yan Cheng Yang Chuan Shi Jiawei Liu Xiaochen Wang 22 4 0 02 Apr 2023
Are we certain it's anomalous? Alessandro Flaborea Bardh Prenkaj Bharti Munjal Marco Aurelio Sterpa Dario Aragona L. Podo Fabio Galasso 24 8 0 16 Nov 2022
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations He Cheng Depeng Xu Shuhan Yuan Xintao Wu AI4TS 35 3 0 09 Oct 2022
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space Yuyang Sha J. Faber S. Gou Bonnie M. Liu Wei Li ... T. Steckenreiter D. Vnucec Nadine Wetzstein A. Widl Kai Zhou AAML 33 6 0 26 Feb 2022
LogBERT: Log Anomaly Detection via BERT Haixuan Guo Shuhan Yuan Xintao Wu 24 215 0 07 Mar 2021
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs Lei Cai Zhengzhang Chen Chen Luo Jiaping Gui Jingchao Ni Ding Li Haifeng Chen 23 123 0 15 May 2020