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"

23 / 73 papers shown

Title
S-Rocket: Selective Random Convolution Kernels for Time Series Classification Hojjat Salehinejad Yang Wang Yuanhao Yu Jingshan Tang S. Valaee AI4TS 39 15 0 07 Mar 2022
R-GCN: The R Could Stand for Random Vic Degraeve Gilles Vandewiele F. Ongenae Sofie Van Hoecke GNN 29 13 0 04 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 35 0 0 25 Feb 2022
Flowformer: Linearizing Transformers with Conservation Flows Haixu Wu Jialong Wu Jiehui Xu Jianmin Wang Mingsheng Long 14 90 0 13 Feb 2022
Time Series Anomaly Detection by Cumulative Radon Features Yedid Hoshen AI4TS 21 2 0 08 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang linda Qiao AI4TS 28 119 0 08 Feb 2022
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier Matthew Middlehurst A. Bagnall AI4TS 29 18 0 28 Jan 2022
LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels Hojjat Salehinejad S. Valaee 19 30 0 23 Jan 2022
Dimensionality Reduction of Longitudinal Ómics Data using Modern Tensor Factorization Uria Mor Yotam Cohen R. Valdés-Mas Denise Kviatcovsky E. Elinav H. Avron 19 20 0 28 Nov 2021
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data Yuansheng Zhu Weishi Shi Deepshikha Pandey Yang Liu Xiaofan Que Daniel E. Krutz Qi Yu EDL AI4TS 29 5 0 16 Nov 2021
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 27 76 0 11 Oct 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 24 5 0 07 Oct 2021
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values Zhao Zhang Shao-Qun Zhang Yuan Jiang Zhi-Hua Zhou AI4TS 29 6 0 30 Sep 2021
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers Samuel Harford Fazle Karim H. Darabi AI4TS 22 1 0 28 Sep 2021
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets Antoine Guillaume Christel Vrain Wael Elloumi AI4TS 48 31 0 28 Sep 2021
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification Matthew Middlehurst J. Large G. Cawley A. Bagnall 11 70 0 09 May 2021
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification Dominik Alfke Miriam Gondos Lucile Peroche Martin Stoll AI4TS 45 2 0 16 Apr 2021
Elastic Similarity and Distance Measures for Multivariate Time Series Ahmed Shifaz Charlotte Pelletier F. Petitjean Geoffrey I. Webb AI4TS 38 18 0 20 Feb 2021
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification Angus Dempster Daniel F. Schmidt Geoffrey I. Webb AI4TS 50 355 0 16 Dec 2020
Convolutional Signature for Sequential Data Ming Min Tomoyuki Ichiba 24 3 0 14 Sep 2020
Monash University, UEA, UCR Time Series Extrinsic Regression Archive Chang Wei Tan Christoph Bergmeir F. Petitjean Geoffrey I. Webb AI4TS 36 24 0 19 Jun 2020
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification Wensi Tang Guodong Long Lu Liu Dinesh Manocha Michael Blumenstein Jing Jiang AI4TS 24 99 0 24 Feb 2020
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 102 1,073 0 11 Sep 2019