Time series classification with random convolution kernels based transforms: pooling operators and input representations matter

2024-09-02 · Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi, Fabrice Morganti, David Mercier

This article presents a new approach based on MiniRocket, called SelF-Rocket, for fast time series classification (TSC). Unlike existing approaches based on random convolution kernels, it dynamically selects the best couple of input representations and pooling operator during the training process. SelF-Rocket achieves state-of-the-art accuracy on the University of California Riverside (UCR) TSC benchmark datasets.

📄 PDF Abstract BibTeX arXiv:2409.01115

Code (2)

ANR-MYEL/SelF-Rocket 공식 구현

msd-irimas/multi_comparison_matrix

Tasks

feature selectionTime SeriesTime Series Classification

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