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

25 September 2023

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 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 Adria Solana Erik Fransén Gonzalo Uribarri 28 2 0 05 Aug 2024
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 Rafael Ayllón-Gavilán David Guijo Rubio Pedro Antonio Gutiérrez A. Bagnall César Hervás-Martinez 22 0 0 16 Jun 2023
Benchmarking sparse system identification with low-dimensional chaos A. Kaptanoglu Lanyue Zhang Zachary G. Nicolaou Urban Fasel Steven L. Brunton 19 19 0 04 Feb 2023
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 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