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Robust Augmentation for Multivariate Time Series Classification

Robust Augmentation for Multivariate Time Series Classification

27 January 2022
Hong Yang
Travis J. Desell
    AI4TS
ArXiv (abs)PDFHTMLGithub (5★)

Papers citing "Robust Augmentation for Multivariate Time Series Classification"

3 / 3 papers shown
Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation
Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation
Michael Hagmann
Michael Staniek
Stefan Riezler
AI4TSCoGe
143
0
0
28 Aug 2025
Empirical Study of Mix-based Data Augmentation Methods in Physiological
  Time Series Data
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series DataIEEE International Conference on Healthcare Informatics (ICHI), 2023
Peikun Guo
Huiyuan Yang
Akane Sano
AI4TS
288
8
0
18 Sep 2023
An Empirical Evaluation of Multivariate Time Series Classification with
  Input Transformation across Different Dimensions
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different DimensionsInternational Conference on Machine Learning and Applications (ICMLA), 2022
Leonardos Pantiskas
K. Verstoep
Mark Hoogendoorn
Henri E. Bal
AI4TS
199
2
0
14 Oct 2022
1
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