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Convolutional and Deep Learning based techniques for Time Series Ordinal
  Classification

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification

16 June 2023
Rafael Ayllón-Gavilán
David Guijo Rubio
Pedro Antonio Gutiérrez
A. Bagnall
César Hervás-Martinez
ArXivPDFHTML

Papers citing "Convolutional and Deep Learning based techniques for Time Series Ordinal Classification"

5 / 5 papers shown
Title
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
37
15
0
20 Jun 2024
Unsupervised Feature Based Algorithms for Time Series Extrinsic
  Regression
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression
David Guijo Rubio
Matthew Middlehurst
Guilherme G. Arcencio
Diego Furtado Silva
A. Bagnall
AI4TS
21
9
0
02 May 2023
Proximity Forest 2.0: A new effective and scalable similarity-based
  classifier for time series
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series
Matthieu Herrmann
Chang Wei Tan
Mahsa Salehi
Geoffrey I. Webb
AI4TS
10
8
0
12 Apr 2023
Random Dilated Shapelet Transform: A New Approach for Time Series
  Shapelets
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets
Antoine Guillaume
Christel Vrain
Wael Elloumi
AI4TS
30
30
0
28 Sep 2021
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
1