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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
Diverse Counterfactual Explanations for Anomaly Detection in Time Series
Diverse Counterfactual Explanations for Anomaly Detection in Time Series
Deborah Sulem
Michele Donini
Muhammad Bilal Zafar
François-Xavier Aubet
Jan Gasthaus
Tim Januschowski
Sanjiv Ranjan Das
K. Kenthapadi
Cédric Archambeau
AAML
35
10
0
21 Mar 2022
A Review of Open Source Software Tools for Time Series Analysis
A Review of Open Source Software Tools for Time Series Analysis
Yunus Parvej Faniband
I. Ishak
S. M. Sait
AI4TS
32
6
0
10 Mar 2022
TiSAT: Time Series Anomaly Transformer
TiSAT: Time Series Anomaly Transformer
Keval Doshi
Shatha Abudalou
Yasin Yılmaz
AI4TS
32
16
0
10 Mar 2022
Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a
  Stacked Recurrent Autoencoder Method with Dynamic Thresholding
Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding
Victoria Bell
D. Rengasamy
Benjamin Rothwell
Grazziela Figueredo
11
7
0
09 Mar 2022
Model-free feature selection to facilitate automatic discovery of
  divergent subgroups in tabular data
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data
G. Tadesse
William Ogallo
C. Cintas
Skyler Speakman
22
4
0
08 Mar 2022
Regional-Local Adversarially Learned One-Class Classifier Anomalous
  Sound Detection in Global Long-Term Space
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
Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive
  Coding for Multivariate Time-Series Anomaly Detection
Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection
Heejeong Choi
Subin Kim
Pilsung Kang
AI4TS
19
4
0
21 Feb 2022
Deep Generative model with Hierarchical Latent Factors for Time Series
  Anomaly Detection
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection
Cristian Challu
Peihong Jiang
Ying Nian Wu
Laurent Callot
BDL
AI4TS
19
25
0
15 Feb 2022
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data
Kyeong-Joong Jeong
Jin-Duk Park
Kyusoon Hwang
Seong-Lyun Kim
Won-Yong Shin
16
6
0
10 Feb 2022
Detecting Anomalies within Time Series using Local Neural
  Transformations
Detecting Anomalies within Time Series using Local Neural Transformations
Tim Schneider
Chen Qiu
Marius Kloft
Decky Aspandi Latif
Steffen Staab
Stephan Mandt
Maja R. Rudolph
AI4TS
40
18
0
08 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
30
119
0
08 Feb 2022
Time-Series Anomaly Detection with Implicit Neural Representation
Time-Series Anomaly Detection with Implicit Neural Representation
Kyeong-Joong Jeong
Yong-Min Shin
BDL
AI4TS
49
15
0
28 Jan 2022
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate
  Time Series Data
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
Shreshth Tuli
G. Casale
N. Jennings
AI4TS
28
474
0
18 Jan 2022
Online Time Series Anomaly Detection with State Space Gaussian Processes
Online Time Series Anomaly Detection with State Space Gaussian Processes
Christian Bock
Franccois-Xavier Aubet
Jan Gasthaus
Andrey Kan
Ming Chen
Laurent Callot
AI4TS
21
7
0
18 Jan 2022
Forecast-based Multi-aspect Framework for Multivariate Time-series
  Anomaly Detection
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection
Lan Wang
Yusan Lin
Yuhang Wu
Huiyuan Chen
Fei Wang
Hao Yang
AI4TS
39
5
0
13 Jan 2022
Sparsity-based Feature Selection for Anomalous Subgroup Discovery
Sparsity-based Feature Selection for Anomalous Subgroup Discovery
G. Tadesse
William Ogallo
C. Wanjiru
C. Wachira
I. Mulang'
V. Anand
Aisha Walcott-Bryant
Skyler Speakman
14
0
0
06 Jan 2022
Monte Carlo EM for Deep Time Series Anomaly Detection
Monte Carlo EM for Deep Time Series Anomaly Detection
François-Xavier Aubet
Daniel Zügner
Jan Gasthaus
AI4TS
31
5
0
29 Dec 2021
Speedup deep learning models on GPU by taking advantage of efficient
  unstructured pruning and bit-width reduction
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction
Marcin Pietroñ
Dominik Zurek
30
13
0
28 Dec 2021
A Multi-View Framework for BGP Anomaly Detection via Graph Attention
  Network
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network
Songtao Peng
Jiaqi Nie
Xincheng Shu
Zhongyuan Ruan
Lei Wang
Yunxuan Sheng
Qi Xuan
AI4TS
25
20
0
23 Dec 2021
TFDPM: Attack detection for cyber-physical systems with diffusion
  probabilistic models
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models
Tijin Yan
Tong Zhou
Yufeng Zhan
Yuanqing Xia
DiffM
21
7
0
20 Dec 2021
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
MTV: Visual Analytics for Detecting, Investigating, and Annotating
  Anomalies in Multivariate Time Series
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series
Dongyu Liu
Sarah Alnegheimish
Alexandra Zytek
K. Veeramachaneni
AI4TS
27
20
0
10 Dec 2021
Fast and scalable neuroevolution deep learning architecture search for
  multivariate anomaly detection
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
R. Corizzo
30
4
0
10 Dec 2021
Unsupervised Time Series Outlier Detection with Diversity-Driven
  Convolutional Ensembles -- Extended Version
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version
David Campos
Tung Kieu
Chenjuan Guo
Feiteng Huang
Kai Zheng
B. Yang
Christian S. Jensen
AI4TS
28
51
0
22 Nov 2021
Memory-augmented Adversarial Autoencoders for Multivariate Time-series
  Anomaly Detection with Deep Reconstruction and Prediction
Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction
Qinfeng Xiao
Shikuan Shao
Jing Wang
AI4TS
19
7
0
15 Oct 2021
A Semi-Supervised Approach for Abnormal Event Prediction on Large
  Operational Network Time-Series Data
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data
Yijun Lin
Yao-Yi Chiang
AI4TS
16
1
0
14 Oct 2021
Anomaly Transformer: Time Series Anomaly Detection with Association
  Discrepancy
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Jiehui Xu
Haixu Wu
Jianmin Wang
Mingsheng Long
AI4TS
28
478
0
06 Oct 2021
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time
  Series
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg
Wenyu Zhang
Jules Samaran
R. Savitha
Chuan-Sheng Foo
AI4TS
51
224
0
23 Sep 2021
Merlion: A Machine Learning Library for Time Series
Merlion: A Machine Learning Library for Time Series
Aadyot Bhatnagar
Paul Kassianik
Chenghao Liu
Tian-Shing Lan
Wenzhuo Yang
...
Yingbo Zhou
Caiming Xiong
Silvio Savarese
Guosheng Lin
Huan Wang
AI4TS
27
34
0
20 Sep 2021
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Siwon Kim
K. Choi
Hyun-Soo Choi
Byunghan Lee
Sungroh Yoon
AI4TS
89
148
0
11 Sep 2021
Graph-based Incident Aggregation for Large-Scale Online Service Systems
Graph-based Incident Aggregation for Large-Scale Online Service Systems
Zhuangbin Chen
Jinyang Liu
Yuxin Su
Hongyu Zhang
Xuemin Wen
Xiao Ling
Yongqiang Yang
M. Lyu
14
20
0
27 Aug 2021
Federated Variational Learning for Anomaly Detection in Multivariate
  Time Series
Federated Variational Learning for Anomaly Detection in Multivariate Time Series
Kai Zhang
Yushan Jiang
Lee M. Seversky
Chengtao Xu
Dahai Liu
Haoze Song
AI4TS
14
26
0
18 Aug 2021
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time
  Warping
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping
Dongha Lee
Sehun Yu
Hyunjun Ju
Hwanjo Yu
14
13
0
15 Aug 2021
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series
  Anomaly Detection
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection
Yuhang Wu
Mengting Gu
Lan Wang
Yusan Lin
Fei Wang
Hao Yang
AI4TS
41
8
0
15 Aug 2021
VBridge: Connecting the Dots Between Features and Data to Explain
  Healthcare Models
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models
Furui Cheng
Dongyu Liu
F. Du
Yanna Lin
Alexandra Zytek
Haomin Li
Huamin Qu
K. Veeramachaneni
24
37
0
04 Aug 2021
Discovering outliers in the Mars Express thermal power consumption
  patterns
Discovering outliers in the Mars Express thermal power consumption patterns
Matej Petković
L. Lucas
Tomaz Stepisnik
P. Panov
Nikola Simidjievski
D. Kocev
13
1
0
04 Aug 2021
Neural Contextual Anomaly Detection for Time Series
Neural Contextual Anomaly Detection for Time Series
Chris U. Carmona
Franccois-Xavier Aubet
Valentin Flunkert
Jan Gasthaus
BDL
AI4TS
59
63
0
16 Jul 2021
Pastprop-RNN: improved predictions of the future by correcting the past
Pastprop-RNN: improved predictions of the future by correcting the past
A. M. Baptista
Yassine Baghoussi
Carlos Soares
João Mendes-Moreira
Miguel Arantes
AI4TS
29
2
0
25 Jun 2021
Pre-treatment of outliers and anomalies in plant data: Methodology and
  case study of a Vacuum Distillation Unit
Pre-treatment of outliers and anomalies in plant data: Methodology and case study of a Vacuum Distillation Unit
Kamil Oster
S. Güttel
J. L. Shapiro
Lu Chen
M. Jobson
18
2
0
17 Jun 2021
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
Cheng Feng
Pengwei Tian
AI4TS
22
75
0
15 Jun 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng
Bryan Hooi
AI4TS
30
848
0
13 Jun 2021
HIFI: Anomaly Detection for Multivariate Time Series with High-order
  Feature Interactions
HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions
Liwei Deng
Xuanhao Chen
Yan Zhao
Kai Zheng
23
6
0
11 Jun 2021
StackVAE-G: An efficient and interpretable model for time series anomaly
  detection
StackVAE-G: An efficient and interpretable model for time series anomaly detection
Wenkai Li
Wenbo Hu
Ting Chen
Ning Chen
Cheng Feng
BDL
AI4TS
20
6
0
18 May 2021
Learning Graph Structures with Transformer for Multivariate Time Series
  Anomaly Detection in IoT
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen
Dingshuo Chen
Xiao Zhang
Zixuan Yuan
Xiuzhen Cheng
AI4TS
28
332
0
08 Apr 2021
AQEyes: Visual Analytics for Anomaly Detection and Examination of Air
  Quality Data
AQEyes: Visual Analytics for Anomaly Detection and Examination of Air Quality Data
Dongyu Liu
K. Veeramachaneni
Alexander Geiger
V. Li
Huamin Qu
15
9
0
24 Mar 2021
Artificial Intelligence for Satellite Communication: A Review
Artificial Intelligence for Satellite Communication: A Review
Fares Fourati
Mohamed-Slim Alouini
40
108
0
25 Jan 2021
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
Liang Xu
Liying Zheng
Weijun Li
Zhenbo Chen
Weishun Song
Yue Deng
Yongzhe Chang
Jing Xiao
Bo Yuan
AI4TS
29
9
0
08 Jan 2021
Anomaly Detection in a Large-scale Cloud Platform
Anomaly Detection in a Large-scale Cloud Platform
M. S. Islam
William Pourmajidi
Lei Zhang
John Steinbacher
Tony Erwin
A. Miranskyy
14
28
0
21 Oct 2020
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds
  on False Alarm Rate
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate
Keval Doshi
Y. Yilmaz
29
92
0
10 Oct 2020
Current Time Series Anomaly Detection Benchmarks are Flawed and are
  Creating the Illusion of Progress
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
R. Wu
Eamonn J. Keogh
AI4TS
32
199
0
29 Sep 2020
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