ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

29 October 2019

Papers citing "ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels"

35 / 35 papers shown

Title
PPGF: Probability Pattern-Guided Time Series Forecasting Yanru Sun Zongxia Xie Haoyu Xing Hualong Yu Q. Hu AI4TS 41 0 0 18 Feb 2025
Active Learning of Robot Vision Using Adaptive Path Planning Julius Ruckin Federico Magistri Cyrill Stachniss Marija Popović SSL 23 0 0 14 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data Manuel Brenner Elias Weber G. Koppe Daniel Durstewitz AI4TS AI4CE 22 2 0 07 Oct 2024
An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel Xinpeng Li Zile Jiang Kai Ming Ting Ye Zhu 16 0 0 03 Oct 2024
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 Xiaosheng Li Wenjie Xi Jessica Lin AI4TS 9 2 0 15 Aug 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen Tianyu Cao Ninon De Mecquenem Jiahe Li Zhilong Chen F. Friederici Yang Yang 35 1 0 31 Jul 2024
HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis Alireza Keshavarzian S. Valaee 15 0 0 22 Jul 2024
Capturing Temporal Components for Time Series Classification Venkata Ragavendra Vavilthota Ranjith Ramanathan Sathyanarayanan N. Aakur 20 0 0 20 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md. Atik Ahamed Qiang Cheng Mamba 47 1 0 06 Jun 2024
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration Haoxiao Wang Bo Peng Jianhua Zhang Xu Cheng AI4TS 34 1 0 28 Apr 2024
Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models Oshana Dissanayake Sarah McPherson Joseph Allyndree Emer Kennedy Padraig Cunningham Lucile Riaboff 13 2 0 28 Apr 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 19 4 0 06 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 29 15 0 29 Feb 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 25 19 0 17 Jan 2024
Finding Foundation Models for Time Series Classification with a PreText Task Ali Ismail-Fawaz Maxime Devanne Stefano Berretti Jonathan Weber Germain Forestier 21 5 0 24 Nov 2023
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 27 0 0 24 Nov 2023
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting YeXin Huang AI4TS 14 0 0 22 Oct 2023
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels Gonzalo Uribarri Federico Barone A. Ansuini Erik Fransén AI4TS 27 5 0 25 Sep 2023
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 Angus Dempster Daniel F. Schmidt Geoffrey I. Webb AI4TS 17 8 0 02 Aug 2023
Time Series Clustering With Random Convolutional Kernels J. Marco-Blanco R. C. Rumín AI4TS 18 11 0 17 May 2023
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
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version David Campos Miao Zhang B. Yang Tung Kieu Chenjuan Guo Christian S. Jensen AI4TS 32 46 0 24 Feb 2023
Benchmarking optimality of time series classification methods in distinguishing diffusions Zehong Zhang Fei Lu Esther Xu Fei Terry Lyons Y. Kevrekidis Tom Woolf AI4TS 24 0 0 30 Jan 2023
Dynamic Sparse Network for Time Series Classification: Learning What to "see'' Qiao Xiao Boqian Wu Yu Zhang Shiwei Liu Mykola Pechenizkiy Elena Mocanu D. Mocanu AI4TS 22 28 0 19 Dec 2022
Joint Human Orientation-Activity Recognition Using WiFi Signals for Human-Machine Interaction Hojjat Salehinejad Navid Hasanzadeh Radomir Djogo S. Valaee 24 14 0 11 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 22 687 0 05 Oct 2022
Semi-unsupervised Learning for Time Series Classification Padraig Davidson M. Steininger A. Huhn Anna Krause Andreas Hotho 14 1 0 07 Jul 2022
Automated Mobility Context Detection with Inertial Signals Antonio Bevilacqua L. Alcock Brian Caulfield Eran Gazit C. Hansen N. Ireson Georgiana Ifrim 16 1 0 16 May 2022
R-GCN: The R Could Stand for Random Vic Degraeve Gilles Vandewiele F. Ongenae Sofie Van Hoecke GNN 15 12 0 04 Mar 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang linda Qiao AI4TS 16 119 0 08 Feb 2022
Dimensionality Reduction of Longitudinal Ómics Data using Modern Tensor Factorization Uria Mor Yotam Cohen R. Valdés-Mas Denise Kviatcovsky E. Elinav H. Avron 16 20 0 28 Nov 2021
Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence J. Kemnitz T. Bierweiler H. Grieb Stefan von Dosky Daniel Schall OOD 16 5 0 07 Oct 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