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MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series
  Classification

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

16 December 2020
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
    AI4TS
ArXivPDFHTML

Papers citing "MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification"

50 / 107 papers shown
Title
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
19
9
0
02 Aug 2023
Hypertension Detection From High-Dimensional Representation of
  Photoplethysmogram Signals
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals
Navid Hasanzadeh
S. Valaee
Hojjat Salehinejad
39
4
0
31 Jul 2023
An Examination of Wearable Sensors and Video Data Capture for Human
  Exercise Classification
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification
Ashish Singh
Antonio Bevilacqua
Timilehin B. Aderinola
Thach le Nguyen
D. Whelan
Martin O'Reilly
Brian Caulfield
Georgiana Ifrim
27
4
0
10 Jul 2023
Robot Motion Prediction by Channel State Information
Robot Motion Prediction by Channel State Information
Rojin Zandi
Hojjat Salehinejad
Kian Behzad
Elaheh Motamedi
Milad Siami
24
7
0
07 Jul 2023
Steel Surface Roughness Parameter Calculations Using Lasers and Machine
  Learning Models
Steel Surface Roughness Parameter Calculations Using Lasers and Machine Learning Models
A. Milne
Xianghua Xie
AI4CE
29
0
0
06 Jul 2023
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain
  Signals
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals
Donghong Cai
Junru Chen
Yang Yang
Te-Chun Liu
Yafeng Li
24
20
0
15 Jun 2023
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph
  Diffusion Learning
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning
Junru Chen
Yang Yang
Tao Yu
Yingying Fan
Xiaolong Mo
Carl Yang
DiffM
MedIm
13
27
0
15 Jun 2023
MTS2Graph: Interpretable Multivariate Time Series Classification with
  Temporal Evolving Graphs
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs
Raneen Younis
Abdul Hakmeh
Zahra Ahmadi
AI4TS
15
6
0
06 Jun 2023
Improving Position Encoding of Transformers for Multivariate Time Series
  Classification
Improving Position Encoding of Transformers for Multivariate Time Series Classification
Navid Mohammadi Foumani
Chang Wei Tan
Geoffrey I. Webb
Mahsa Salehi
AI4TS
24
74
0
26 May 2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable
  Under Manipulation of the Comparate Set
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
Ali Ismail-Fawaz
Angus Dempster
Chang Wei Tan
Matthieu Herrmann
Lynn Miller
...
Stefano Berretti
J. Weber
Maxime Devanne
Germain Forestier
Geoffrey I. Webb
23
18
0
19 May 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
31
50
0
18 May 2023
A hybrid feature learning approach based on convolutional kernels for
  ATM fault prediction using event-log data
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
V. M. Vargas
Riccardo Rosati
César Hervás-Martinez
A. Mancini
L. Romeo
Pedro Antonio Gutiérrez
24
9
0
17 May 2023
Time Series Clustering With Random Convolutional Kernels
Time Series Clustering With Random Convolutional Kernels
J. Marco-Blanco
R. C. Rumín
AI4TS
27
11
0
17 May 2023
Appliance Detection Using Very Low-Frequency Smart Meter Time Series
Appliance Detection Using Very Low-Frequency Smart Meter Time Series
Adrien Petralia
Philippe Charpentier
Paul Boniol
Themis Palpanas
AI4TS
27
9
0
10 May 2023
An ensemble of convolution-based methods for fault detection using
  vibration signals
An ensemble of convolution-based methods for fault detection using vibration signals
Xian Yeow Lee
Aman Kumar
Lasitha Vidyaratne
Aniruddha Rajendra Rao
Ahmed K. Farahat
Chetan R. Gupta
14
5
0
05 May 2023
Bake off redux: a review and experimental evaluation of recent time
  series classification algorithms
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
Matthew Middlehurst
Patrick Schäfer
A. Bagnall
AI4TS
24
108
0
25 Apr 2023
Proximity Forest 2.0: A new effective and scalable similarity-based
  classifier for time series
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series
Matthieu Herrmann
Chang Wei Tan
Mahsa Salehi
Geoffrey I. Webb
AI4TS
23
8
0
12 Apr 2023
Driver Profiling and Bayesian Workload Estimation Using Naturalistic
  Peripheral Detection Study Data
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data
Nermin Caber
B. I. Ahmad
Jiaming Liang
S. Godsill
Alexandra Bremers
Philip Thomas
David Oxtoby
L. Skrypchuk
18
2
0
26 Mar 2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble
  Distillation -- Extended Version
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
45
47
0
24 Feb 2023
Set Features for Fine-grained Anomaly Detection
Set Features for Fine-grained Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
AI4TS
26
15
0
23 Feb 2023
FedST: Secure Federated Shapelet Transformation for Time Series
  Classification
FedST: Secure Federated Shapelet Transformation for Time Series Classification
Zhiyu Liang
Hongzhi Wang
AI4TS
29
4
0
21 Feb 2023
FormerTime: Hierarchical Multi-Scale Representations for Multivariate
  Time Series Classification
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
Mingyue Cheng
Qi Liu
Zhiding Liu
Zhi Li
Yucong Luo
Enhong Chen
AI4TS
24
31
0
20 Feb 2023
Enhancing Multivariate Time Series Classifiers through Self-Attention
  and Relative Positioning Infusion
Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion
Mehryar Abbasi
Parvaneh Saeedi
AI4TS
27
6
0
13 Feb 2023
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological
  Signal Classification
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification
W. He
Mingyue Cheng
Qi Liu
Zhi Li
AI4TS
32
9
0
10 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A
  Current Survey
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani
Lynn Miller
Chang Wei Tan
G. I. Webb
Germain Forestier
Mahsa Salehi
BDL
AI4TS
33
93
0
06 Feb 2023
WEASEL 2.0 -- A Random Dilated Dictionary Transform for Fast, Accurate
  and Memory Constrained Time Series Classification
WEASEL 2.0 -- A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification
Patrick Schäfer
Ulf Leser
19
19
0
24 Jan 2023
Predicting Surface Texture in Steel Manufacturing at Speed
Predicting Surface Texture in Steel Manufacturing at Speed
A. Milne
Xianghua Xie
24
0
0
20 Jan 2023
Unleashing the Power of Shared Label Structures for Human Activity
  Recognition
Unleashing the Power of Shared Label Structures for Human Activity Recognition
Xiyuan Zhang
Ranak Roy Chowdhury
Jiayun Zhang
Dezhi Hong
Rajesh K. Gupta
Jingbo Shang
VLM
18
6
0
01 Jan 2023
Dynamic Sparse Network for Time Series Classification: Learning What to
  "see''
Dynamic Sparse Network for Time Series Classification: Learning What to "see''
Qiao Xiao
Boqian Wu
Yu Zhang
Shiwei Liu
Mykola Pechenizkiy
Elena Mocanu
Decebal Constantin Mocanu
AI4TS
38
28
0
19 Dec 2022
EDGAR: Embedded Detection of Gunshots by AI in Real-time
EDGAR: Embedded Detection of Gunshots by AI in Real-time
Nathan Morsa
11
0
0
25 Nov 2022
Uncertainty-DTW for Time Series and Sequences
Uncertainty-DTW for Time Series and Sequences
Lei Wang
Piotr Koniusz
13
33
0
30 Oct 2022
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance
  Dataset from the NGAFID
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID
Hong Yang
Travis J. Desell
AI4TS
21
1
0
13 Oct 2022
Joint Human Orientation-Activity Recognition Using WiFi Signals for
  Human-Machine Interaction
Joint Human Orientation-Activity Recognition Using WiFi Signals for Human-Machine Interaction
Hojjat Salehinejad
Navid Hasanzadeh
Radomir Djogo
S. Valaee
40
14
0
11 Oct 2022
Fast and Robust Video-Based Exercise Classification via Body Pose
  Tracking and Scalable Multivariate Time Series Classifiers
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers
Ashish Singh
Antonio Bevilacqua
Thach le Nguyen
Feiyan Hu
Kevin McGuinness
Martin O'Reilly
D. Whelan
Brian Caulfield
Georgiana Ifrim
35
12
0
02 Oct 2022
Explainable classification of astronomical uncertain time series
Explainable classification of astronomical uncertain time series
Michael Franklin Mbouopda
E. Ishida
E. M. Nguifo
E. Gangler
AI4TS
14
0
0
28 Sep 2022
Neuro-symbolic Models for Interpretable Time Series Classification using
  Temporal Logic Description
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description
Ruixuan Yan
Tengfei Ma
Achille Fokoue
Maria Chang
A. Julius
AI4TS
45
7
0
15 Sep 2022
Out-of-Distribution Representation Learning for Time Series
  Classification
Out-of-Distribution Representation Learning for Time Series Classification
Wang Lu
Jindong Wang
Xinwei Sun
Yiqiang Chen
Xingxu Xie
OODD
OOD
35
35
0
15 Sep 2022
Rethinking Attention Mechanism in Time Series Classification
Rethinking Attention Mechanism in Time Series Classification
Bowen Zhao
Huanlai Xing
Xinhan Wang
Fuhong Song
Zhiwen Xiao
AI4TS
36
30
0
14 Jul 2022
Automated Mobility Context Detection with Inertial Signals
Automated Mobility Context Detection with Inertial Signals
Antonio Bevilacqua
L. Alcock
Brian Caulfield
Eran Gazit
C. Hansen
N. Ireson
Georgiana Ifrim
30
1
0
16 May 2022
COSTI: a New Classifier for Sequences of Temporal Intervals
COSTI: a New Classifier for Sequences of Temporal Intervals
J. Bilski
A. Jastrzębska
AI4TS
23
0
0
28 Apr 2022
Taking ROCKET on an Efficiency Mission: Multivariate Time Series
  Classification with LightWaveS
Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS
Leonardos Pantiskas
K. Verstoep
Mark Hoogendoorn
Henri E. Bal
37
6
0
04 Apr 2022
HYDRA: Competing convolutional kernels for fast and accurate time series
  classification
HYDRA: Competing convolutional kernels for fast and accurate time series classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
36
55
0
25 Mar 2022
Parameter Inference of Time Series by Delay Embeddings and Learning
  Differentiable Operators
Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators
A. Lin
Adrian S. Wong
R. Martin
Stanley J. Osher
D. Eckhardt
AI4TS
13
2
0
11 Mar 2022
S-Rocket: Selective Random Convolution Kernels for Time Series
  Classification
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
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
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
35
0
0
25 Feb 2022
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification
  with Hyperdimensional Computing
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
Kenny Schlegel
Peer Neubert
P. Protzel
AI4TS
13
23
0
16 Feb 2022
Time Series Anomaly Detection by Cumulative Radon Features
Time Series Anomaly Detection by Cumulative Radon Features
Yedid Hoshen
AI4TS
19
2
0
08 Feb 2022
An Efficient Federated Distillation Learning System for Multi-task Time
  Series Classification
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
Huanlai Xing
Zhiwen Xiao
R. Qu
Zonghai Zhu
Bowen Zhao
FedML
35
108
0
30 Dec 2021
Correlation Based Feature Subset Selection for Multivariate Time-Series
  Data
Correlation Based Feature Subset Selection for Multivariate Time-Series Data
Bahavathy Kathirgamanathan
Padraig Cunningham
AI4TS
18
1
0
26 Nov 2021
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