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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
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Papers citing "Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels"

7 / 7 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
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis
Adria Solana
Erik Fransén
Gonzalo Uribarri
30
2
0
05 Aug 2024
Deep Learning for Time Series Classification of Parkinson's Disease Eye Tracking Data
Deep Learning for Time Series Classification of Parkinson's Disease Eye Tracking Data
Gonzalo Uribarri
Simon Ekman von Huth
Josefine Waldthaler
Per Svenningsson
Erik Fransén
14
4
0
28 Nov 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
24
0
0
16 Jun 2023
Benchmarking sparse system identification with low-dimensional chaos
Benchmarking sparse system identification with low-dimensional chaos
A. Kaptanoglu
Lanyue Zhang
Zachary G. Nicolaou
Urban Fasel
Steven L. Brunton
21
19
0
04 Feb 2023
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
128
679
0
31 Jan 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