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  4. Cited By
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic
  Thresholding

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

13 February 2018
K. Hundman
V. Constantinou
Christopher Laporte
Ian Colwell
T. Söderström
    AI4TS
ArXivPDFHTML

Papers citing "Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding"

50 / 271 papers shown
Title
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional
  Cycle-Consistent Generative Adversarial Networks
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks
S. Saravanan
Tie Luo
Mao V. Ngo
AI4TS
32
8
0
22 Mar 2023
Spacecraft Anomaly Detection with Attention Temporal Convolution Network
Spacecraft Anomaly Detection with Attention Temporal Convolution Network
Liang Liu
Ling Tian
Zhao Kang
Tianqi Wan
AI4TS
38
28
0
13 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
36
19
0
02 Mar 2023
One Fits All:Power General Time Series Analysis by Pretrained LM
One Fits All:Power General Time Series Analysis by Pretrained LM
Tian Zhou
Peisong Niu
Xue Wang
Liang Sun
Rong Jin
AI4TS
30
386
0
23 Feb 2023
CNTS: Cooperative Network for Time Series
CNTS: Cooperative Network for Time Series
Jinsheng Yang
Yuanhai Shao
Chunna Li
AI4TS
21
2
0
20 Feb 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate
  Time Series Data
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data
Ling Yu
AI4TS
28
27
0
17 Feb 2023
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised
  Cross-modal Attention
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention
Cheryl Lee
Tianyi Yang
Zhuangbin Chen
Yuxin Su
Yongqiang Yang
Michael R. Lyu
14
30
0
14 Feb 2023
Satellite Anomaly Detection Using Variance Based Genetic Ensemble of
  Neural Networks
Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks
Mohammad Amin Maleki Sadr
Yeying Zhu
Peng Hu
29
3
0
10 Feb 2023
Unsupervised Deep Learning for IoT Time Series
Unsupervised Deep Learning for IoT Time Series
Ya Liu
Ying Zhou
Kai Yang
Xiao Wang
AI4TS
44
34
0
07 Feb 2023
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting
Katrina Chen
M. Feng
T. Wirjanto
AI4TS
13
6
0
04 Feb 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
Kun Yi
Qi Zhang
LongBing Cao
Shoujin Wang
Guodong Long
Liang Hu
Hui He
ZhenDong Niu
Wei Fan
Hui Xiong
AI4TS
57
22
0
04 Feb 2023
Graph Anomaly Detection in Time Series: A Survey
Graph Anomaly Detection in Time Series: A Survey
Thi Kieu Khanh Ho
Ali Karami
Narges Armanfard
AI4TS
37
5
0
31 Jan 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
18
0
0
30 Jan 2023
Time series Forecasting to detect anomalous behaviours in Multiphase
  Flow Meters
Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters
T. Barbariol
David A. Masiero
E. Feltresi
Gian Antonio Susto
AI4TS
16
0
0
30 Dec 2022
AER: Auto-Encoder with Regression for Time Series Anomaly Detection
AER: Auto-Encoder with Regression for Time Series Anomaly Detection
Lawrence Wong
Dongyu Liu
Laure Berti-Equille
Sarah Alnegheimish
K. Veeramachaneni
AI4TS
19
18
0
27 Dec 2022
Is it worth it? Comparing six deep and classical methods for
  unsupervised anomaly detection in time series
Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
Ferdinand Rewicki
Joachim Denzler
Julia Niebling
23
29
0
21 Dec 2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Fanxing Liu
Cheng Zeng
Le Zhang
Yingjie Zhou
Qing Mu
Yanru Zhang
Ling Zhang
Ce Zhu
OOD
FedML
AI4TS
36
8
0
19 Dec 2022
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time
  Series
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series
Audrey Der
Chin-Chia Michael Yeh
R. Wu
Junpeng Wang
Yan Zheng
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn Keogh
AI4TS
22
3
0
09 Dec 2022
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout
Mohammad Amin Maleki Sadr
Yeying Zhu
Peng Hu
BDL
24
16
0
27 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
26
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
45
132
0
09 Nov 2022
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly
  Detection
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection
Jun Zhan
Chengkun Wu
Canqun Yang
Qiucheng Miao
Xiandong Ma
AI4TS
21
2
0
01 Nov 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with
  Time-Frequency Analysis
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
AI4TS
37
66
0
18 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TS
AIFin
61
715
0
05 Oct 2022
Detecting Anomalies within Smart Buildings using Do-It-Yourself Internet
  of Things
Detecting Anomalies within Smart Buildings using Do-It-Yourself Internet of Things
Yasar Majib
M. Barhamgi
B. Heravi
S. Kariyawasam
Charith Perera
31
6
0
04 Oct 2022
Towards an Awareness of Time Series Anomaly Detection Models'
  Adversarial Vulnerability
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability
Shahroz Tariq
B. Le
Simon S. Woo
AAML
AI4TS
23
3
0
24 Aug 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
28
7
0
19 Aug 2022
HyperTime: Implicit Neural Representation for Time Series
HyperTime: Implicit Neural Representation for Time Series
Elizabeth Fons
Alejandro Sztrajman
Yousef El-Laham
Alexandros Iosifidis
Svitlana Vyetrenko
AI4TS
35
21
0
11 Aug 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label
Detecting Multivariate Time Series Anomalies with Zero Known Label
Qihang Zhou
Jiming Chen
Haoyu Liu
Shibo He
Wenchao Meng
AI4TS
32
22
0
03 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
37
6
0
03 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
G. Casale
B. Javadi
Feng Yan
Rajkumar Buyya
N. Jennings
29
56
0
01 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
26
40
0
25 Jul 2022
Anomaly Detection for Fraud in Cryptocurrency Time Series
Anomaly Detection for Fraud in Cryptocurrency Time Series
Eran Kaufman
A. Iaremenko
AI4TS
28
1
0
23 Jul 2022
Multivariate Time Series Anomaly Detection with Few Positive Samples
Multivariate Time Series Anomaly Detection with Few Positive Samples
Feng Xue
Weizhong Yan
AI4TS
24
3
0
02 Jul 2022
A Causal Approach to Detecting Multivariate Time-series Anomalies and
  Root Causes
A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes
Wenzhuo Yang
Kun Zhang
Guosheng Lin
AI4TS
CML
36
9
0
30 Jun 2022
Generative Anomaly Detection for Time Series Datasets
Generative Anomaly Detection for Time Series Datasets
Zhuangwei Kang
Ayan Mukhopadhyay
A. Gokhale
Shijie Wen
Abhishek Dubey
AI4TS
24
0
0
28 Jun 2022
Local Evaluation of Time Series Anomaly Detection Algorithms
Local Evaluation of Time Series Anomaly Detection Algorithms
Alexis Huet
J. M. Navarro
Dario Rossi
AI4TS
37
67
0
27 Jun 2022
Deep Isolation Forest for Anomaly Detection
Deep Isolation Forest for Anomaly Detection
Hongzuo Xu
Guansong Pang
Yijie Wang
Yongjun Wang
50
184
0
14 Jun 2022
RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using
  Traffic Forecasting
RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting
Shreshth Tuli
Matthew R. Wilkinson
C. Kettell
28
5
0
11 Jun 2022
Robust Projection based Anomaly Extraction (RPE) in Univariate
  Time-Series
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series
M. Rahmani
Anoop Deoras
Laurent Callot
AI4TS
31
0
0
31 May 2022
PAC-Wrap: Semi-Supervised PAC Anomaly Detection
PAC-Wrap: Semi-Supervised PAC Anomaly Detection
Shuo Li
Xiayan Ji
Yan Sun
O. Sokolsky
Insup Lee
25
14
0
22 May 2022
Anomaly Detection for Multivariate Time Series on Large-scale Fluid
  Handling Plant Using Two-stage Autoencoder
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder
S. Naito
Yasunori Taguchi
Kouta Nakata
Yuichi Kato
AI4TS
28
5
0
20 May 2022
Time Series Anomaly Detection via Reinforcement Learning-Based Model
  Selection
Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection
J. Zhang
Di Wu
Benoit Boulet
AI4TS
24
8
0
19 May 2022
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via
  Latent Predictive Coding
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding
Zhi Qi
Hong Xie
Ye Li
Jian Tan
Feifei Li
John C. S. Lui
AI4TS
19
1
0
05 May 2022
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time
  Series
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series
Yiwei Fu
Feng Xue
AI4TS
29
15
0
04 May 2022
PyGOD: A Python Library for Graph Outlier Detection
PyGOD: A Python Library for Graph Outlier Detection
Kay Liu
Yingtong Dou
Xueying Ding
Xiyang Hu
Ruitong Zhang
Hao Peng
Kai Shu
Philip S. Yu
AI4TS
29
50
0
26 Apr 2022
NLP Based Anomaly Detection for Categorical Time Series
NLP Based Anomaly Detection for Categorical Time Series
Matthew Horak
Sowmya Chandrasekaran
Giovanni Tobar
AI4TS
14
3
0
22 Apr 2022
Sintel: A Machine Learning Framework to Extract Insights from Signals
Sintel: A Machine Learning Framework to Extract Insights from Signals
Sarah Alnegheimish
Dongyu Liu
Carles Sala Cladellas
Laure Berti-Equille
K. Veeramachaneni
AI4TS
30
15
0
19 Apr 2022
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors
Quan-Xin Ding
Shenghua Liu
Bin Zhou
Huawei Shen
Xueqi Cheng
AI4TS
AI4CE
24
1
0
18 Apr 2022
Radial Autoencoders for Enhanced Anomaly Detection
Radial Autoencoders for Enhanced Anomaly Detection
Mihai-Cezar Augustin
V. Bonvin
Régis Houssou
Efstratios Rappos
Stephan Robert-Nicoud
19
0
0
29 Mar 2022
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