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MultiRocket: Multiple pooling operators and transformations for fast and
  effective time series classification

MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification

31 January 2021
Chang Wei Tan
Angus Dempster
Christoph Bergmeir
Geoffrey I. Webb
    AI4TS
ArXivPDFHTML

Papers citing "MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification"

12 / 12 papers shown
Title
Time series classification with random convolution kernels: pooling operators and input representations matter
Time series classification with random convolution kernels: pooling operators and input representations matter
Mouhamadou Mansour Lo
Gildas Morvan
Mathieu Rossi
Fabrice Morganti
David Mercier
AI4TS
24
0
0
02 Sep 2024
RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
Xiaosheng Li
Wenjie Xi
Jessica Lin
AI4TS
9
2
0
15 Aug 2024
Nonlinear time-series embedding by monotone variational inequality
Nonlinear time-series embedding by monotone variational inequality
Jonathan Y. Zhou
Yao Xie
AI4TS
34
0
0
11 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md. Atik Ahamed
Qiang Cheng
Mamba
58
1
0
06 Jun 2024
Finding Foundation Models for Time Series Classification with a PreText
  Task
Finding Foundation Models for Time Series Classification with a PreText Task
Ali Ismail-Fawaz
Maxime Devanne
Stefano Berretti
Jonathan Weber
Germain Forestier
26
5
0
24 Nov 2023
Detach-ROCKET: Sequential feature selection for time series
  classification with random convolutional kernels
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels
Gonzalo Uribarri
Federico Barone
A. Ansuini
Erik Fransén
AI4TS
32
6
0
25 Sep 2023
Automatic Feature Engineering for Time Series Classification: Evaluation
  and Discussion
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion
Aurélien Renault
A. Bondu
V. Lemaire
D. Gay
AI4TS
25
1
0
02 Aug 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
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
26
9
0
02 May 2023
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine
  Analysis of Free-Standing Social Interactions in the Wild
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild
Chirag Raman
Jose Vargas-Quiros
Stephanie Tan
Ashraful Islam
Ekin Gedik
Hayley Hung
11
8
0
10 May 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OOD
TTA
AI4TS
31
31
0
07 Apr 2022
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
1,071
0
11 Sep 2019
1