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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

20 November 2018
Chuxu Zhang
Dongjin Song
Yuncong Chen
Xinyang Feng
C. Lumezanu
Wei Cheng
Jingchao Ni
Bo Zong
Haifeng Chen
Nitesh V. Chawla
    AI4TS
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Papers citing "A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data"

50 / 159 papers shown
Title
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
17
5
0
20 May 2022
Deep Federated Anomaly Detection for Multivariate Time Series Data
Deep Federated Anomaly Detection for Multivariate Time Series Data
Wei Zhu
Dongjin Song
Yuncong Chen
Wei Cheng
Bo Zong
Takehiko Mizoguchi
C. Lumezanu
Haifeng Chen
Jiebo Luo
FedML
OOD
AI4TS
26
5
0
09 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
11
1
0
05 May 2022
STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion
  Detection System for Intelligent Connected Vehicles
STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles
Pengzhou Cheng
Mu Han
Aoxue Li
Fengwei Zhang
13
22
0
23 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
24
15
0
19 Apr 2022
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan
Caihua Shan
Wenyi Yang
Bixiong Xu
Dongsheng Li
Lili Qiu
Jie Tong
Qi Zhang
14
4
0
30 Mar 2022
Deep Convolutional Autoencoder for Assessment of Anomalies in
  Multi-stream Sensor Data
Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data
Anthony Geglio
Eisa Hedayati
M. Tascillo
Dyche Anderson
Jonathan Barker
T. Havens
ViT
UQCV
11
3
0
15 Feb 2022
Hybridization of Capsule and LSTM Networks for unsupervised anomaly
  detection on multivariate data
Hybridization of Capsule and LSTM Networks for unsupervised anomaly detection on multivariate data
Ayman Elhalwagy
T. Kalganova
20
14
0
11 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
29
18
0
08 Feb 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network
  Accelerators
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Lois Orosa
Skanda Koppula
Yaman Umuroglu
Konstantinos Kanellopoulos
Juan Gómez Luna
Michaela Blott
K. Vissers
O. Mutlu
46
4
0
04 Feb 2022
Robust Audio Anomaly Detection
Robust Audio Anomaly Detection
Wo Jae Lee
Karim Helwani
A. Krishnaswamy
S. Tenneti
OOD
AI4TS
30
2
0
03 Feb 2022
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for
  Unsupervised Anomaly Detection in Multivariate Time Series
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Tareq Tayeh
Sulaiman A. Aburakhia
Ryan Myers
Abdallah Shami
AI4TS
47
33
0
23 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
26
473
0
18 Jan 2022
Functional Anomaly Detection: a Benchmark Study
Functional Anomaly Detection: a Benchmark Study
Guillaume Staerman
E. Adjakossa
Pavlo Mozharovskyi
V. Hofer
J. Gupta
Stéphan Clémençon
24
18
0
13 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
36
5
0
13 Jan 2022
Adaptive Memory Networks with Self-supervised Learning for Unsupervised
  Anomaly Detection
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection
Yu-xin Zhang
Jindong Wang
Yiqiang Chen
Hanchao Yu
Tao Qin
AI4TS
33
54
0
03 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
21
5
0
29 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
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
28
4
0
10 Dec 2021
Learning Physical Concepts in Cyber-Physical Systems: A Case Study
Learning Physical Concepts in Cyber-Physical Systems: A Case Study
Henrik S. Steude
Alexander Windmann
Oliver Niggemann
AI4CE
10
0
0
28 Nov 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
TOD: GPU-accelerated Outlier Detection via Tensor Operations
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Yue Zhao
George H. Chen
Zhihao Jia
AI4TS
27
8
0
26 Oct 2021
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang
M. Zeman
Theodoros Tsiligkaridis
Marinka Zitnik
MLAU
AI4TS
40
107
0
11 Oct 2021
Anomaly Detection for High-Dimensional Data Using Large Deviations
  Principle
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle
Sreelekha Guggilam
V. Chandola
A. Patra
14
2
0
28 Sep 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
44
223
0
23 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
147
0
11 Sep 2021
Human readable network troubleshooting based on anomaly detection and
  feature scoring
Human readable network troubleshooting based on anomaly detection and feature scoring
J. M. Navarro
Alexis Huet
Dario Rossi
27
8
0
26 Aug 2021
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express
  Delivery Prediction
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
Siyuan Ren
Bin Guo
LongBing Cao
Ke Li
Jiaqi Liu
Zhiwen Yu
21
8
0
18 Aug 2021
Convolutional Transformer based Dual Discriminator Generative
  Adversarial Networks for Video Anomaly Detection
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
Xinyang Feng
Dongjin Song
Yuncong Chen
Zhengzhang Chen
Jingchao Ni
Haifeng Chen
ViT
19
69
0
29 Jul 2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Yu-xin Zhang
Yiqiang Chen
Jindong Wang
Zhiwen Pan
AI4TS
21
189
0
27 Jul 2021
HURRA! Human readable router anomaly detection
HURRA! Human readable router anomaly detection
J. M. Navarro
Dario Rossi
11
7
0
23 Jul 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
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
19
75
0
15 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative
  Models
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models
Jaemoo Choi
Changyeon Yoon
Jeongwoo Bae
Myung-joo Kang
OODD
30
4
0
15 Jun 2021
Artificial Intelligence Based Prognostic Maintenance of Renewable Energy
  Systems: A Review of Techniques, Challenges, and Future Research Directions
Artificial Intelligence Based Prognostic Maintenance of Renewable Energy Systems: A Review of Techniques, Challenges, and Future Research Directions
Y. Afridi
Kashif Ahmad
Laiq Hassan
AI4CE
38
47
0
20 Apr 2021
Novelty Detection in Sequential Data by Informed Clustering and Modeling
Novelty Detection in Sequential Data by Informed Clustering and Modeling
Linara Adilova
Siming Chen
Michael Kamp
15
2
0
05 Mar 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust
  Forecasting on Sparse Multivariate Time Series
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Yinjun Wu
Jingchao Ni
Wei Cheng
Bo Zong
Dongjin Song
Zhengzhang Chen
Yanchi Liu
Xuchao Zhang
Haifeng Chen
S. Davidson
AI4TS
20
49
0
03 Mar 2021
Anomaly Detection for Multivariate Time Series of Exotic Supernovae
Anomaly Detection for Multivariate Time Series of Exotic Supernovae
V. A. Villar
M. Cranmer
Gabriella Contardo
S. Ho
J. Lin
AI4TS
15
4
0
21 Oct 2020
Deep learning models for predictive maintenance: a survey, comparison,
  challenges and prospect
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect
O. Serradilla
E. Zugasti
Urko Zurutuza
AI4CE
14
18
0
07 Oct 2020
A Transformer-based Framework for Multivariate Time Series
  Representation Learning
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
AI4TS
21
889
0
06 Oct 2020
Anomaly Detection and Sampling Cost Control via Hierarchical GANs
Anomaly Detection and Sampling Cost Control via Hierarchical GANs
Chen Zhong
M. C. Gursoy
Senem Velipasalar
AI4TS
13
4
0
28 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
9
2
0
20 Sep 2020
Spatiotemporal Attention for Multivariate Time Series Prediction and
  Interpretation
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation
Tryambak Gangopadhyay
Sin Yong Tan
Zhanhong Jiang
Rui Meng
S. Sarkar
AI4TS
24
45
0
11 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
8
5
0
25 Jul 2020
Multi-stream RNN for Merchant Transaction Prediction
Multi-stream RNN for Merchant Transaction Prediction
Zhongfang Zhuang
Chin-Chia Michael Yeh
Liang Wang
Wei Zhang
Junpeng Wang
8
3
0
25 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
Anomaly Detection And Classification In Time Series With Kervolutional
  Neural Networks
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks
O. Ammann
Gabriel Michau
Olga Fink
AI4TS
6
1
0
14 May 2020
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems:
  Progress and Opportunities
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities
Yuan Luo
Ya Xiao
Long Cheng
Guojun Peng
D. Yao
32
160
0
30 Mar 2020
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution
Ziling Wu
Ping Liu
Zheng Hu
Bocheng Li
Jun Wang
AI4TS
9
0
0
03 Mar 2020
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and
  Convolutional Neural Networks
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks
Jing Gao
Xiaomin Song
Qingsong Wen
Pichao Wang
Liang Sun
Huan Xu
AI4TS
31
133
0
21 Feb 2020
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