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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

17 February 2023
Ling Yu
    AI4TS
ArXivPDFHTML

Papers citing "DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data"

5 / 5 papers shown
Title
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
27
0
0
07 Aug 2024
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly
  Detection
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection
Yingjie Zhou
Xuchen Song
Yanru Zhang
Fanxing Liu
Ce Zhu
Lingqiao Liu
UQCV
20
100
0
22 May 2021
Anomaly Detection of Time Series with Smoothness-Inducing Sequential
  Variational Auto-Encoder
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
Longyuan Li
Junchi Yan
Haiyang Wang
Yaohui Jin
BDL
AI4TS
35
132
0
02 Feb 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
Dynamic Covariance Models for Multivariate Financial Time Series
Dynamic Covariance Models for Multivariate Financial Time Series
Yue Wu
José Miguel Hernández-Lobato
Zoubin Ghahramani
57
45
0
18 May 2013
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