mlsanityData to 14 Oct 2026

Data Augmentation for Multivariate Time Series Classification: An Experimental Study

arXiv 2406.06518 ↗First posted 10 Jun 2024cs.LGcited by 3

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Abstract (arXiv)

Our study investigates the impact of data augmentation on the performance of multivariate time series models, focusing on datasets from the UCR archive. Despite the limited size of these datasets, we achieved classification accuracy improvements in 10 out of 13 datasets using the Rocket and InceptionTime models. This highlights the essential role of sufficient data in training effective models, paralleling the advancements seen in computer vision. Our work delves into adapting and applying existing methods in innovative ways to the domain of multivariate time series classification. Our comprehensive exploration of these techniques sets a new standard for addressing data scarcity in time series analysis, emphasizing that diverse augmentation strategies are crucial for unlocking the potential of both traditional and deep learning models. Moreover, by meticulously analyzing and applying a variety of augmentation techniques, we demonstrate that strategic data enrichment can enhance model accuracy. This not only establishes a benchmark for future research in time series analysis but also underscores the importance of adopting varied augmentation approaches to improve model performance in the face of limited data availability.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 41 of its 102 references that are in the map. First posted on arXiv 10 Jun 2024.

Builds on

41 of 102 references.

References · 41

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29 more
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Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.

  1. 2024Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecastingcited by 8
  2. 2024User-friendly Foundation Model Adapters for Multivariate Time Series Classificationcited by 3
  3. 2025MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encodercited by 0