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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
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network
Pu Yang
J. A. Barria
AI4TS
12
0
0
16 May 2025
An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices
An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices
Yuezhou Zhang
A. Folarin
Callum Stewart
H. Sankesara
Yatharth Ranjan
Pauline Conde
Akash Roy Choudhury
Shaoxiong Sun
Zulqarnain Rashid
Richard J. B. Dobson
17
0
0
05 May 2025
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
Tian-Shing Lan
Yifei Gao
Yimeng Lu
Chen Zhang
56
0
0
01 May 2025
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
M2^22AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
Sarah Alnegheimish
Zelin He
Matthew Reimherr
Akash Chandrayan
Abhinav Pradhan
Luca DÁngelo
37
0
0
21 Apr 2025
Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning
Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning
Bahareh Golchin
Banafsheh Rekabdar
AI4TS
30
0
0
03 Apr 2025
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
Xudong Mou
Rui Wang
Bo Li
Tianyu Wo
Jie Sun
Han Wang
Xudong Liu
AI4TS
50
0
0
24 Mar 2025
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series
Sneh Pillai
AI4TS
63
0
0
05 Mar 2025
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
Tianchen Ji
Neeloy Chakraborty
Andre Schreiber
Katherine Rose Driggs-Campbell
185
1
0
23 Feb 2025
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection
Keigo Nogami
Tamura Hiroto
Gouhei Tanaka
FedML
85
0
0
17 Feb 2025
Empirical likelihood for Fréchet means on open books
Empirical likelihood for Fréchet means on open books
Karthik Bharath
Huiling Le
A. Wood
Xi Yan
123
0
0
25 Dec 2024
Leveraging A New GAN-based Transformer with ECDH Crypto-system for
  Enhancing Energy Theft Detection in Smart Grid
Leveraging A New GAN-based Transformer with ECDH Crypto-system for Enhancing Energy Theft Detection in Smart Grid
Yang Yang
Xun Yuan
Arwa Alromih
A. Pasikhani
P. Gope
Biplab Sikdar
69
0
0
27 Nov 2024
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Quan Zhou
Changhua Pei
Fei Sun
Jing Han
Zhengwei Gao
Dan Pei
Haiming Zhang
Gaogang Xie
Jianhui Li
AI4TS
70
4
0
01 Nov 2024
MIXAD: Memory-Induced Explainable Time Series Anomaly Detection
MIXAD: Memory-Induced Explainable Time Series Anomaly Detection
Minha Kim
K. Bhaumik
A. Ali
Simon S. Woo
AI4TS
37
1
0
30 Oct 2024
Abnormality Forecasting: Time Series Anomaly Prediction via Future
  Context Modeling
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
Sinong Zhao
Wenrui Wang
Hongzuo Xu
Zhaoyang Yu
Qingsong Wen
Gang Wang
Xiaoguang Liu
Guansong Pang
AI4TS
28
0
0
16 Oct 2024
Trajectory Anomaly Detection with Language Models
Trajectory Anomaly Detection with Language Models
Jonathan Mbuya
Dieter Pfoser
Antonios Anastasopoulos
19
0
0
18 Sep 2024
Online Model-based Anomaly Detection in Multivariate Time Series:
  Taxonomy, Survey, Research Challenges and Future Directions
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions
Lucas Correia
Jan-Christoph Goos
Philipp Klein
Thomas Bäck
Anna V. Kononova
AI4TS
54
3
0
07 Aug 2024
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical
  Aggregated Anomaly Detection
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
Dacian Goina
Eduard Hogea
George Matieş
34
0
0
11 Jun 2024
USD: Unsupervised Soft Contrastive Learning for Fault Detection in
  Multivariate Time Series
USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series
Hong Liu
Xiuxiu Qiu
Yiming Shi
Z. Zang
26
0
0
25 May 2024
Large language models can be zero-shot anomaly detectors for time
  series?
Large language models can be zero-shot anomaly detectors for time series?
Sarah Alnegheimish
Linh Nguyen
Laure Berti-Equille
K. Veeramachaneni
AI4TS
30
12
0
23 May 2024
An Attention-Based Deep Generative Model for Anomaly Detection in
  Industrial Control Systems
An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems
Mayra Alexandra Macas Carrasco
Chunming Wu
Walter Fuertes
23
1
0
03 May 2024
Accurate and fast anomaly detection in industrial processes and IoT
  environments
Accurate and fast anomaly detection in industrial processes and IoT environments
Simone Tonini
Andrea Vandin
Francesca Chiaromonte
Daniele Licari
Fernando Barsacchi
16
0
0
27 Apr 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban
Yiyuan Yang
Geoffrey I. Webb
Charu C. Aggarwal
Qingsong Wen
Shirui Pan
Mahsa Salehi
60
0
0
17 Apr 2024
Considering Nonstationary within Multivariate Time Series with
  Variational Hierarchical Transformer for Forecasting
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
Muyao Wang
Wenchao Chen
Bo Chen
32
2
0
08 Mar 2024
Towards efficient deep autoencoders for multivariate time series anomaly
  detection
Towards efficient deep autoencoders for multivariate time series anomaly detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
35
0
0
04 Mar 2024
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly
  Detection Models
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
Haotian Si
Changhua Pei
Hang Cui
Jingwen Yang
Yongqian Sun
...
Haiming Zhang
Jing Han
Dan Pei
Jianhui Li
Gaogang Xie
AI4TS
32
6
0
16 Feb 2024
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
Chen Wang
S. Erfani
T. Alpcan
Christopher Leckie
OffRL
38
2
0
07 Feb 2024
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series
  Anomaly Detection
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection
Lixu Wang
Shichao Xu
Xinyu Du
Qi Zhu
27
1
0
20 Jan 2024
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly
  Detection
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection
Jinyang Liu
Wen-Cheng Gu
Zhuangbin Chen
Yichen Li
Yuxin Su
Michael R. Lyu
AI4TS
20
2
0
10 Jan 2024
Weakly Augmented Variational Autoencoder in Time Series Anomaly
  Detection
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection
Zhangkai Wu
LongBing Cao
Qi Zhang
Junxian Zhou
Hui Chen
41
3
0
07 Jan 2024
When Model Meets New Normals: Test-time Adaptation for Unsupervised
  Time-series Anomaly Detection
When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection
Dongmin Kim
S. Park
Jaegul Choo
AI4TS
OOD
19
13
0
19 Dec 2023
Label-Free Multivariate Time Series Anomaly Detection
Label-Free Multivariate Time Series Anomaly Detection
Qihang Zhou
Shibo He
Haoyu Liu
Jiming Chen
Wenchao Meng
AI4TS
27
10
0
17 Dec 2023
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly
  Detection
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
Junho Song
Keonwoo Kim
Jeonglyul Oh
Sungzoon Cho
AI4TS
26
25
0
05 Dec 2023
Selective Inference for Changepoint detection by Recurrent Neural
  Network
Selective Inference for Changepoint detection by Recurrent Neural Network
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
20
4
0
25 Nov 2023
Set Features for Anomaly Detection
Set Features for Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
35
0
0
24 Nov 2023
Explainable Time Series Anomaly Detection using Masked Latent Generative
  Modeling
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling
Daesoo Lee
Sara Malacarne
Erlend Aune
AI4TS
42
9
0
21 Nov 2023
Unsupervised Sim-to-Real Adaptation of Soft Robot Proprioception using a
  Dual Cross-modal Autoencoder
Unsupervised Sim-to-Real Adaptation of Soft Robot Proprioception using a Dual Cross-modal Autoencoder
Chaeree Park
Hyunkyu Park
Jung Kim
28
0
0
21 Oct 2023
Open-Set Multivariate Time-Series Anomaly Detection
Open-Set Multivariate Time-Series Anomaly Detection
Thomas Lai
Thi Kieu Khanh Ho
Narges Armanfard
AI4TS
45
3
0
18 Oct 2023
FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior
  knowledge
FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge
Giacomo Verardo
Magnus Boman
Samuel Bruchfeld
Marco Chiesa
Sabine Koch
Gerald Q. Maguire
Dejan Kostić
13
1
0
06 Oct 2023
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive
  Anomaly Detection in Field Robot Navigation
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation
Jihun Han
Tianchen Ji
Yoonsang Lee
Katherine Driggs-Campbell
24
3
0
28 Sep 2023
Disruption Detection for a Cognitive Digital Supply Chain Twin Using
  Hybrid Deep Learning
Disruption Detection for a Cognitive Digital Supply Chain Twin Using Hybrid Deep Learning
Mahmoud Ashraf
Amr Eltawil
Islam Ali
19
6
0
25 Sep 2023
Generative Pre-Training of Time-Series Data for Unsupervised Fault
  Detection in Semiconductor Manufacturing
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
Sewoong Lee
JinKyou Choi
Min Su Kim
AI4TS
22
0
0
20 Sep 2023
Practical Anomaly Detection over Multivariate Monitoring Metrics for
  Online Services
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
Jinyang Liu
Tianyi Yang
Zhuangbin Chen
Yuxin Su
Cong Feng
Zengyin Yang
Michael R. Lyu
13
7
0
19 Aug 2023
CARLA: Self-supervised Contrastive Representation Learning for Time
  Series Anomaly Detection
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
Zahra Zamanzadeh Darban
Geoffrey I. Webb
Shirui Pan
Charu C. Aggarwal
Mahsa Salehi
AI4TS
38
18
0
18 Aug 2023
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly
  Detection
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection
Haotian Si
Changhua Pei
Zhihan Li
Yadong Zhao
Jingjing Li
Haiming Zhang
Zulong Diao
Jianhui Li
Gaogang Xie
Dan Pei
AI4TS
26
4
0
17 Aug 2023
Sparse Binary Transformers for Multivariate Time Series Modeling
Sparse Binary Transformers for Multivariate Time Series Modeling
Matt Gorbett
Hossein Shirazi
I. Ray
AI4TS
32
13
0
09 Aug 2023
Detection of Anomalies in Multivariate Time Series Using Ensemble
  Techniques
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques
A. Iliopoulos
John Violos
Christos Diou
Iraklis Varlamis
AI4TS
14
1
0
06 Aug 2023
A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart
  Grids
A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids
Xun Yuan
Yang Yang
Asif Iqbal
P. Gope
Biplab Sikdar
DiffM
11
1
0
30 Jul 2023
Prior Based Online Lane Graph Extraction from Single Onboard Camera
  Image
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image
Y. Can
Alexander Liniger
D. Paudel
Luc Van Gool
31
2
0
25 Jul 2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate
  Time-series Anomaly Detection
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Yu Zheng
Huan Yee Koh
Ming Jin
Lianhua Chi
Khoa T. Phan
Shirui Pan
Yi-Ping Phoebe Chen
Wei Xiang
AI4TS
26
25
0
17 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
  in Industrial Time Series: Methods, Applications, and Directions
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
36
58
0
11 Jul 2023
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