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An Empirical Evaluation of Multivariate Time Series Classification with
  Input Transformation across Different Dimensions
v1v2 (latest)

An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions

14 October 2022
Leonardos Pantiskas
K. Verstoep
Mark Hoogendoorn
Henri E. Bal
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions"

13 / 13 papers shown
Title
Taking ROCKET on an Efficiency Mission: Multivariate Time Series
  Classification with LightWaveS
Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS
Leonardos Pantiskas
K. Verstoep
Mark Hoogendoorn
Henri E. Bal
58
6
0
04 Apr 2022
Robust Augmentation for Multivariate Time Series Classification
Robust Augmentation for Multivariate Time Series Classification
Hong Yang
Travis J. Desell
AI4TS
51
7
0
27 Jan 2022
The Canonical Interval Forest (CIF) Classifier for Time Series
  Classification
The Canonical Interval Forest (CIF) Classifier for Time Series Classification
Matthew Middlehurst
J. Large
A. Bagnall
AI4TS
49
106
0
20 Aug 2020
An Empirical Survey of Data Augmentation for Time Series Classification
  with Neural Networks
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
Brian Kenji Iwana
S. Uchida
AI4TS
57
503
0
31 Jul 2020
Benchmarking Multivariate Time Series Classification Algorithms
Benchmarking Multivariate Time Series Classification Algorithms
Alejandro Pasos Ruiz
Michael Flynn
A. Bagnall
AI4TS
73
378
0
26 Jul 2020
Time Series Data Augmentation for Deep Learning: A Survey
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen
Liang Sun
Fan Yang
Xiaomin Song
Jing Gao
Xue Wang
Huan Xu
AI4TS
68
642
0
27 Feb 2020
ROCKET: Exceptionally fast and accurate time series classification using
  random convolutional kernels
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster
Franccois Petitjean
Geoffrey I. Webb
AI4TS
78
778
0
29 Oct 2019
sktime: A Unified Interface for Machine Learning with Time Series
sktime: A Unified Interface for Machine Learning with Time Series
M. Löning
A. Bagnall
S. Ganesh
V. Kazakov
Jason Lines
Franz J. Király
SyDaAI4TS
56
231
0
17 Sep 2019
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
170
1,108
0
11 Sep 2019
The UEA multivariate time series classification archive, 2018
The UEA multivariate time series classification archive, 2018
A. Bagnall
Hoang Anh Dau
Jason Lines
Michael Flynn
J. Large
A. Bostrom
Paul Southam
Eamonn Keogh
AI4TS
171
429
0
31 Oct 2018
Multivariate Time Series Classification with WEASEL+MUSE
Multivariate Time Series Classification with WEASEL+MUSE
Patrick Schäfer
Ulf Leser
AI4TS
53
141
0
30 Nov 2017
Time Series Classification from Scratch with Deep Neural Networks: A
  Strong Baseline
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang
Weizhong Yan
Tim Oates
AI4TS
71
1,658
0
20 Nov 2016
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
477
43,658
0
17 Sep 2014
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