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LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

1 July 2016
Pankaj Malhotra
Anusha Ramakrishnan
G. Anand
L. Vig
Puneet Agarwal
Gautam M. Shroff
    AI4TS
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Papers citing "LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection"

50 / 205 papers shown
Title
Reconstruct Anomaly to Normal: Adversarial Learned and Latent
  Vector-constrained Autoencoder for Time-series Anomaly Detection
Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection
Chunkai Zhang
Wei Zuo
Xueliang Wang
AI4TS
4
3
0
14 Oct 2020
TimeAutoML: Autonomous Representation Learning for Multivariate
  Irregularly Sampled Time Series
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Yang Jiao
Kai Yang
Shaoyu Dou
Pan Luo
Sijia Liu
Dongjin Song
AI4TS
28
6
0
04 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
20
781
0
24 Sep 2020
Unsupervised Anomaly Detection on Temporal Multiway Data
Unsupervised Anomaly Detection on Temporal Multiway Data
D. Nguyen
Phuoc Nguyen
Kien Do
Santu Rana
Sunil R. Gupta
T. Tran
14
2
0
20 Sep 2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial
  Networks
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
Alexander Geiger
Dongyu Liu
Sarah Alnegheimish
Alfredo Cuesta-Infante
K. Veeramachaneni
AI4TS
28
204
0
16 Sep 2020
Unsupervised Learning Based Robust Multivariate Intrusion Detection
  System for Cyber-Physical Systems using Low Rank Matrix
Unsupervised Learning Based Robust Multivariate Intrusion Detection System for Cyber-Physical Systems using Low Rank Matrix
Aneet Kumar Dutta
B. Mukhoty
S. Shukla
AAML
OOD
6
0
0
07 Sep 2020
Multivariate Time-series Anomaly Detection via Graph Attention Network
Multivariate Time-series Anomaly Detection via Graph Attention Network
Hang Zhao
Yujing Wang
Juanyong Duan
Congrui Huang
Defu Cao
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
6
423
0
04 Sep 2020
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event
  Sequence Anomaly Detection
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection
Z. Wang
Zhengzhang Chen
Jingchao Ni
Hui Liu
Haifeng Chen
Jiliang Tang
AI4TS
11
54
0
31 Aug 2020
ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing
  Approximate Computing
ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing
B. Kar
P. K. Gopalakrishnan
S. Bose
Mohendra Roy
A. Basu
8
4
0
21 Aug 2020
Improving Robustness on Seasonality-Heavy Multivariate Time Series
  Anomaly Detection
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection
Farzaneh Khoshnevisan
Zhewen Fan
Vitor R. Carvalho
AI4TS
13
5
0
25 Jul 2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A
  Communication-Efficient On-device Federated Learning Approach
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu
S. Garg
Jiangtian Nie
Yan Zhang
Zehui Xiong
Jiawen Kang
M. S. Hossain
FedML
39
378
0
19 Jul 2020
Deep Learning for Anomaly Detection: A Review
Deep Learning for Anomaly Detection: A Review
Guansong Pang
Chunhua Shen
LongBing Cao
Anton Van Den Hengel
16
896
0
06 Jul 2020
Self-Supervised Encoder for Fault Prediction in Electrochemical Cells
Self-Supervised Encoder for Fault Prediction in Electrochemical Cells
D. Marcos
S. Yacout
Saïd Berriah
6
0
0
05 Jun 2020
Sequential Anomaly Detection using Inverse Reinforcement Learning
Sequential Anomaly Detection using Inverse Reinforcement Learning
Min Hwan Oh
G. Iyengar
OffRL
AI4TS
12
80
0
22 Apr 2020
Contextual-Bandit Anomaly Detection for IoT Data in Distributed
  Hierarchical Edge Computing
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing
Mao V. Ngo
Tie-Mei Luo
H. Chaouchi
Tony Q.S. Quek
6
15
0
15 Apr 2020
Attention-Based Self-Supervised Feature Learning for Security Data
Attention-Based Self-Supervised Feature Learning for Security Data
I-Ta Lee
Manish Marwah
M. Arlitt
SSL
8
2
0
24 Mar 2020
PyODDS: An End-to-end Outlier Detection System with Automated Machine
  Learning
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning
Yuening Li
Daochen Zha
Praveen Kumar Venugopal
Na Zou
Xia Hu
6
46
0
12 Mar 2020
$\text{A}^3$: Activation Anomaly Analysis
A3\text{A}^3A3: Activation Anomaly Analysis
Philip Sperl
Jan-Philipp Schulze
Konstantin Böttinger
9
6
0
03 Mar 2020
DROCC: Deep Robust One-Class Classification
DROCC: Deep Robust One-Class Classification
Sachin Goyal
Aditi Raghunathan
Moksh Jain
H. Simhadri
Prateek Jain
VLM
28
160
0
28 Feb 2020
Structural Deep Clustering Network
Structural Deep Clustering Network
Deyu Bo
Xiao Wang
C. Shi
Meiqi Zhu
Emiao Lu
Peng Cui
GNN
15
486
0
05 Feb 2020
Semantic Discord: Finding Unusual Local Patterns for Time Series
Semantic Discord: Finding Unusual Local Patterns for Time Series
Li Zhang
Yifeng Gao
Jessica Lin
AI4TS
9
3
0
30 Jan 2020
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing
Mao V. Ngo
H. Chaouchi
Tie-Mei Luo
Tony Q.S. Quek
19
16
0
10 Jan 2020
A Framework for End-to-End Deep Learning-Based Anomaly Detection in
  Transportation Networks
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks
Neema Davis
G. Raina
Krishna Jagannathan
AI4TS
18
26
0
20 Nov 2019
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in
  Contaminated Seasonal Multivariate Time Series
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series
Farzaneh Khoshnevisan
Zhewen Fan
AI4TS
30
9
0
16 Nov 2019
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
Ziqiang Cheng
Yang Yang
Wei Wang
Wenjie Hu
Yueting Zhuang
Guojie Song
AI4TS
19
61
0
11 Nov 2019
Sequential Adversarial Anomaly Detection for One-Class Event Data
Sequential Adversarial Anomaly Detection for One-Class Event Data
Shixiang Zhu
H. Yuchi
Minghe Zhang
Yao Xie
14
11
0
21 Oct 2019
PyODDS: An End-to-End Outlier Detection System
PyODDS: An End-to-End Outlier Detection System
Yuening Li
Daochen Zha
Na Zou
Xia Hu
13
4
0
07 Oct 2019
Developing an Unsupervised Real-time Anomaly Detection Scheme for Time
  Series with Multi-seasonality
Developing an Unsupervised Real-time Anomaly Detection Scheme for Time Series with Multi-seasonality
Wentai Wu
Ligang He
Weiwei Lin
Yi Su
Yuhua Cui
Carsten Maple
Stephen Jarvis
AI4TS
14
6
0
03 Aug 2019
An Encoder-Decoder Based Approach for Anomaly Detection with Application
  in Additive Manufacturing
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing
Baihong Jin
Yingshui Tan
A. Nettekoven
Yuxin Chen
Ufuk Topcu
Yisong Yue
Alberto L. Sangiovanni-Vincentelli
UQCV
14
39
0
26 Jul 2019
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in
  Time Series
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series
Hui Ye
Xiaopeng Ma
Qingfeng Pan
Huaqiang Fang
Hang Xiang
Tongzhen Shao
AI4TS
22
6
0
18 Jul 2019
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus
  Scalar Sensor Data
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data
Vidyasagar Sadhu
Teruhisa Misu
D. Pompili
17
16
0
28 Jun 2019
Visual Analytics of Anomalous User Behaviors: A Survey
Visual Analytics of Anomalous User Behaviors: A Survey
Yang Shi
Yuyin Liu
Hanghang Tong
Jingrui He
Gang Yan
Nan Cao
24
22
0
14 May 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using
  Ensemble of Deep Ordinal Regression Models
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models
T. Vishnu
Diksha Garg
Pankaj Malhotra
L. Vig
Gautam M. Shroff
UQCV
32
15
0
23 Mar 2019
Learning Competitive and Discriminative Reconstructions for Anomaly
  Detection
Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Kai Tian
Shuigeng Zhou
Jianping Fan
Jihong Guan
UQCV
11
23
0
17 Mar 2019
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing
  Detection
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing Detection
Binhang Yuan
Chen Wang
Chen Luo
Fei Jiang
Mingsheng Long
Philip S. Yu
Yuan Liu
14
25
0
14 Feb 2019
BINet: Multi-perspective Business Process Anomaly Classification
BINet: Multi-perspective Business Process Anomaly Classification
Timo Nolle
Stefan Luettgen
Alexander Seeliger
M. Mühlhäuser
AI4TS
16
68
0
08 Feb 2019
Unsupervised Prediction of Negative Health Events Ahead of Time
Unsupervised Prediction of Negative Health Events Ahead of Time
Anahita Hosseini
Majid Sarrafzadeh
11
5
0
31 Jan 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
41
1,479
0
10 Jan 2019
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis
  in Multivariate Time Series Data
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang
Dongjin Song
Yuncong Chen
Xinyang Feng
C. Lumezanu
Wei Cheng
Jingchao Ni
Bo Zong
Haifeng Chen
Nitesh V. Chawla
AI4TS
27
691
0
20 Nov 2018
Mechanisms for Integrated Feature Normalization and Remaining Useful
  Life Estimation Using LSTMs Applied to Hard-Disks
Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks
Sanchita Basak
Saptarshi Sengupta
A. Dubey
27
3
0
21 Oct 2018
Natural Language Generation with Neural Variational Models
Natural Language Generation with Neural Variational Models
Hareesh Bahuleyan
DRL
16
6
0
27 Aug 2018
Anomaly Detection for Water Treatment System based on Neural Network
  with Automatic Architecture Optimization
Anomaly Detection for Water Treatment System based on Neural Network with Automatic Architecture Optimization
Dmitry Shalyga
Pavel Filonov
Andrey Lavrentyev
11
66
0
19 Jul 2018
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep
  Learning
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning
Zecheng He
Aswin Raghavan
Guangyuan Hu
S. Chai
Ruby B. Lee
26
4
0
18 Jun 2018
Learning representations for multivariate time series with missing data
  using Temporal Kernelized Autoencoders
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders
F. Bianchi
L. Livi
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
AI4TS
30
11
0
09 May 2018
Precision and Recall for Time Series
Precision and Recall for Time Series
Nesime Tatbul
T. Lee
S. Zdonik
Mejbah Alam
Justin Emile Gottschlich
AI4TS
20
151
0
08 Mar 2018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic
  Thresholding
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
K. Hundman
V. Constantinou
Christopher Laporte
Ian Colwell
T. Söderström
AI4TS
16
1,223
0
13 Feb 2018
Using LSTM Encoder-Decoder Algorithm for Detecting Anomalous ADS-B
  Messages
Using LSTM Encoder-Decoder Algorithm for Detecting Anomalous ADS-B Messages
Edan Habler
A. Shabtai
32
103
0
28 Nov 2017
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an
  LSTM-based Variational Autoencoder
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder
Daehyung Park
Yuuna Hoshi
Charles C. Kemp
DRL
27
727
0
02 Nov 2017
Deep Learning for Unsupervised Insider Threat Detection in Structured
  Cybersecurity Data Streams
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams
Aaron Tuor
Samuel Kaplan
Brian Hutchinson
Nicole Nichols
Sean Robinson
25
305
0
02 Oct 2017
RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process
RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process
Pavel Filonov
Fedor Kitashov
Andrey Lavrentyev
AI4TS
16
57
0
07 Sep 2017
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