Improving Multivariate Time Series Classification with Class-Wise Training and Model Aggregation

This publication has 15 references indexed in Scilit:

• TSelect: selecting relevant and non-redundant channels for multivariate time series classification
  Data Mining and Knowledge Discovery, 2025
• Bake off redux: a review and experimental evaluation of recent time series classification algorithms
  Data Mining and Knowledge Discovery, 2024
• Hydra: competing convolutional kernels for fast and accurate time series classification
  Data Mining and Knowledge Discovery, 2023
• Scalable classifier-agnostic channel selection for multivariate time series classification
  Data Mining and Knowledge Discovery, 2023
• HIVE-COTE 2.0: a new meta ensemble for time series classification
  Machine Learning, 2021
• Fast Channel Selection for Scalable Multivariate Time Series Classification
  2021
• The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances
  Data Mining and Knowledge Discovery, 2020
• InceptionTime: Finding AlexNet for time series classification
  Data Mining and Knowledge Discovery, 2020
• ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
  Data Mining and Knowledge Discovery, 2020
• catch22: CAnonical Time-series CHaracteristics
  Data Mining and Knowledge Discovery, 2019