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Research article

First published 2019-03-26

Speed up dynamic time warpingof multivariate time series

Zhengxin Li, Fengming Zhang, Feiping Nie [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2017-10

Univariate and multivariate time series classification with parametric integral dynamic time warping

Maciej Łuczak

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2007

Kaleidomaps: A New Technique for the Visualization of Multivariate Time-Series Data

Kim Bale, Paul Chapman, Nick Barraclough [...]

Information Visualization

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Research article

First published 2018

Combining raw and normalized data in multivariate time series classification with dynamic time warping

Maciej Łuczak

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2025

A similarity measurement method with sliding window approach based on transformer for multivariate time-series

Bo Wu, Aiping Pang, Wen Yang [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2021-9

Improving discretization based pattern discovery for multivariate time series by additional preprocessing

Fabian Kai-Dietrich Noering, Konstantin Jonas, Frank Klawonn

Intelligent Data Analysis: An International Journal

Open access

Research article

First published 2024-7

TVGCN: Time-varying graph convolutional networks for multivariate and multifeature spatiotemporal series prediction

Feiyan Sun, Wenning Hao, Ao Zou [...]

Science Progress

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Research article

First published 2023-06-01

ACAM-AD: Autocorrelation and attention mechanism-based anomaly detection in multivariate time series

Qiang He, Guanqun Wang, Lianzhi Huo [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2026

Spatiotemporal attention-based trend and residual decomposition model for multivariate time series anomaly detection

Zhenhua Yu, Jiazhen Li, Lihua Sun [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2025

An efficient semi-supervised multivariate time series classification model based on multiple prime convolution kernels with adaptive attentions

Xi Li, Weijian Song, Peng Chen [...]

Intelligent Data Analysis: An International Journal

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