AI RESEARCH
Time series classification with random convolution kernels: pooling operators and input representations matter
arXiv CS.LG
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ArXi:2409.01115v5 Announce Type: replace 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