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HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis

HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis

Alireza Keshavarzian
S. Valaee
ArXiv (abs)PDFHTML

Papers citing "HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis"

3 / 3 papers shown
Title
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
S-Rocket: Selective Random Convolution Kernels for Time Series Classification
Hojjat Salehinejad
Yang Wang
Yuanhao Yu
Jingshan Tang
S. Valaee
AI4TS
54
15
0
07 Mar 2022
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
AI4TS
100
366
0
16 Dec 2020
The UCR Time Series Archive
The UCR Time Series Archive
Hoang Anh Dau
A. Bagnall
Kaveh Kamgar
Chin-Chia Michael Yeh
Yan Zhu
Shaghayegh Gharghabi
C. Ratanamahatana
Eamonn Keogh
66
832
0
17 Oct 2018

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