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Time Series Anomaly Detection for Cyber-Physical Systems via Neural
  System Identification and Bayesian Filtering

Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering

15 June 2021
Cheng Feng
Pengwei Tian
    AI4TS
ArXivPDFHTML

Papers citing "Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering"

19 / 19 papers shown
Title
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning
Jiyu Tian
Mingchu Li
Liming Chen
Zihao Wang
AI4TS
21
0
0
06 Apr 2025
A Survey of Anomaly Detection in Cyber-Physical Systems
A Survey of Anomaly Detection in Cyber-Physical Systems
Danial Abshari
Meera Sridhar
50
3
0
18 Feb 2025
LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection
Danial Abshari
Chenglong Fu
Meera Sridhar
44
7
0
17 Nov 2024
Multivariate Time-Series Anomaly Detection based on Enhancing Graph
  Attention Networks with Topological Analysis
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
Zhe Liu
Xiang Huang
Jingyun Zhang
Zhifeng Hao
Li Sun
Hao Peng
AI4TS
23
4
0
23 Aug 2024
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
M. Sarfraz
Mei-Yen Chen
Lukas Layer
Kunyu Peng
Marios Koulakis
35
3
0
04 May 2024
PARs: Predicate-based Association Rules for Efficient and Accurate
  Model-Agnostic Anomaly Explanation
PARs: Predicate-based Association Rules for Efficient and Accurate Model-Agnostic Anomaly Explanation
Cheng Feng
10
0
0
18 Dec 2023
A Co-training Approach for Noisy Time Series Learning
A Co-training Approach for Noisy Time Series Learning
Jiexia Ye
Jianfeng Zhang
Jia Li
Fugee Tsung
AI4TS
36
12
0
24 Aug 2023
CyPhERS: A Cyber-Physical Event Reasoning System providing real-time
  situational awareness for attack and fault response
CyPhERS: A Cyber-Physical Event Reasoning System providing real-time situational awareness for attack and fault response
Nils Müller
Kaibin Bao
Jörg Matthes
K. Heussen
33
5
0
26 May 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its
  Posterior Inference
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong
Dongyoon Yang
Jongjin Lee
Ilsang Ohn
Gyuseung Baek
Yongdai Kim
BDL
28
4
0
24 May 2023
Time series anomaly detection with reconstruction-based state-space
  models
Time series anomaly detection with reconstruction-based state-space models
Fan Wang
Keli Wang
Boyu Yao
AI4TS
19
0
0
06 Mar 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly
  Detection in Time Series
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series
Sondre Sørbø
M. Ruocco
AI4TS
34
19
0
02 Mar 2023
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly
  Detection in Multivariate Time Series
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series
Usman Anjum
Samuel Lin
J. Zhan
AI4TS
8
0
0
30 Jan 2023
Learning Invariant Rules from Data for Interpretable Anomaly Detection
Learning Invariant Rules from Data for Interpretable Anomaly Detection
Cheng Feng
Pingge Hu
29
1
0
24 Nov 2022
Are we certain it's anomalous?
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
Deep Learning for Time Series Anomaly Detection: A Survey
Deep Learning for Time Series Anomaly Detection: A Survey
Zahra Zamanzadeh Darban
G. I. Webb
Shirui Pan
Charu C. Aggarwal
Mahsa Salehi
AI4TS
37
129
0
09 Nov 2022
An Unsupervised Short- and Long-Term Mask Representation for
  Multivariate Time Series Anomaly Detection
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection
Qiucheng Miao
Chuanfu Xu
Jun Zhan
Dong Zhu
Cheng-Feng Wu
AI4TS
26
7
0
19 Aug 2022
Robust Learning of Deep Time Series Anomaly Detection Models with
  Contaminated Training Data
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data
Wenkai Li
Cheng Feng
Tingling Chen
Jun Zhu
AAML
AI4TS
26
6
0
03 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly
  Detection
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
Hongzuo Xu
Yijie Wang
Songlei Jian
Qing Liao
Yongjun Wang
Guansong Pang
AI4TS
21
40
0
25 Jul 2022
DeepFIB: Self-Imputation for Time Series Anomaly Detection
DeepFIB: Self-Imputation for Time Series Anomaly Detection
Minhao Liu
Zhijian Xu
Qiang Xu
AI4TS
27
4
0
12 Dec 2021
1