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Random Dilated Shapelet Transform: A New Approach for Time Series
  Shapelets

Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets

28 September 2021
Antoine Guillaume
Christel Vrain
Wael Elloumi
    AI4TS
ArXivPDFHTML

Papers citing "Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets"

4 / 4 papers shown
Title
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Angus Dempster
Geoffrey I. Webb
Daniel F. Schmidt
13
0
0
28 Jan 2024
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
31
116
0
16 Oct 2023
QUANT: A Minimalist Interval Method for Time Series Classification
QUANT: A Minimalist Interval Method for Time Series Classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
AI4TS
17
8
0
02 Aug 2023
InceptionTime: Finding AlexNet for Time Series Classification
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
85
1,058
0
11 Sep 2019
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