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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"

13 / 13 papers shown
Title
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Zhen Liu
Yicheng Luo
B. Li
Emadeldeen Eldele
Min-man Wu
Qianli Ma
AI4TS
29
0
0
11 May 2025
CLaP -- State Detection from Time Series
CLaP -- State Detection from Time Series
Arik Ermshaus
Patrick Schäfer
Ulf Leser
AI4TS
36
0
0
02 Apr 2025
MONSTER: Monash Scalable Time Series Evaluation Repository
MONSTER: Monash Scalable Time Series Evaluation Repository
Angus Dempster
Navid Mohammadi Foumani
Chang Wei Tan
Lynn Miller
Amish Mishra
Mahsa Salehi
Charlotte Pelletier
Daniel F. Schmidt
G. Webb
AI4TS
26
0
0
24 Feb 2025
aeon: a Python toolkit for learning from time series
aeon: a Python toolkit for learning from time series
Matthew Middlehurst
Ali Ismail-Fawaz
Antoine Guillaume
Christopher Holder
David Guijo Rubio
...
Leonidas Tsaprounis
Lukasz Mentel
Martin Walter
Patrick Schäfer
Anthony Bagnall
AI4TS
42
15
0
20 Jun 2024
Castor: Competing shapelets for fast and accurate time series
  classification
Castor: Competing shapelets for fast and accurate time series classification
Isak Samsten
Zed Lee
AI4TS
22
0
0
19 Mar 2024
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
24
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
35
117
0
16 Oct 2023
Generative Pre-Training of Time-Series Data for Unsupervised Fault
  Detection in Semiconductor Manufacturing
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
Sewoong Lee
JinKyou Choi
Min Su Kim
AI4TS
14
0
0
20 Sep 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
9
0
02 Aug 2023
Convolutional and Deep Learning based techniques for Time Series Ordinal
  Classification
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification
Rafael Ayllón-Gavilán
David Guijo Rubio
Pedro Antonio Gutiérrez
A. Bagnall
César Hervás-Martinez
35
0
0
16 Jun 2023
Bake off redux: a review and experimental evaluation of recent time
  series classification algorithms
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
Matthew Middlehurst
Patrick Schäfer
A. Bagnall
AI4TS
16
105
0
25 Apr 2023
WEASEL 2.0 -- A Random Dilated Dictionary Transform for Fast, Accurate
  and Memory Constrained Time Series Classification
WEASEL 2.0 -- A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification
Patrick Schäfer
Ulf Leser
19
19
0
24 Jan 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
87
1,072
0
11 Sep 2019
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