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Scalable Dictionary Classifiers for Time Series Classification

Scalable Dictionary Classifiers for Time Series Classification

26 July 2019
Matthew Middlehurst
William D. Vickers
A. Bagnall
ArXiv (abs)PDFHTML

Papers citing "Scalable Dictionary Classifiers for Time Series Classification"

24 / 24 papers shown
Title
Time-Series Classification in Smart Manufacturing Systems: An
  Experimental Evaluation of State-of-the-Art Machine Learning Algorithms
Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithms
Mojtaba A. Farahani
M. R. McCormick
R. Harik
Thorsten Wuest
78
24
0
04 Oct 2023
POCKET: Pruning Random Convolution Kernels for Time Series
  Classification from a Feature Selection Perspective
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective
Shaowu Chen
Weize Sun
Lei Huang
Xiaopeng Li
Qingyuan Wang
Deepu John
AI4TS
82
2
0
15 Sep 2023
Automatic Feature Engineering for Time Series Classification: Evaluation
  and Discussion
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion
Aurélien Renault
A. Bondu
V. Lemaire
D. Gay
AI4TS
60
1
0
02 Aug 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
92
19
0
19 May 2023
A Dictionary-based approach to Time Series Ordinal Classification
A Dictionary-based approach to Time Series Ordinal Classification
Rafael Ayllón-Gavilán
David Guijo Rubio
Pedro Antonio Gutiérrez
César Hervás-Martinez
120
1
0
16 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
130
120
0
25 Apr 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
102
56
0
24 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
65
4
0
21 Feb 2023
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
75
61
0
25 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
65
0
0
25 Feb 2022
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series
  Classifier
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
Matthew Middlehurst
A. Bagnall
AI4TS
77
18
0
28 Jan 2022
MrSQM: Fast Time Series Classification with Symbolic Representations
MrSQM: Fast Time Series Classification with Symbolic Representations
Thach le Nguyen
Georgiana Ifrim
53
14
0
02 Sep 2021
Fast, Accurate and Interpretable Time Series Classification Through
  Randomization
Fast, Accurate and Interpretable Time Series Classification Through Randomization
Nestor Cabello
Elham Naghizade
Jianzhong Qi
Lars Kulik
AI4TS
63
8
0
31 May 2021
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series
  Classification
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
Matthew Middlehurst
J. Large
G. Cawley
A. Bagnall
62
72
0
09 May 2021
HIVE-COTE 2.0: a new meta ensemble for time series classification
HIVE-COTE 2.0: a new meta ensemble for time series classification
Matthew Middlehurst
J. Large
Michael Flynn
Jason Lines
A. Bostrom
A. Bagnall
AI4TS
110
249
0
15 Apr 2021
Elastic Similarity and Distance Measures for Multivariate Time Series
Elastic Similarity and Distance Measures for Multivariate Time Series
Ahmed Shifaz
Charlotte Pelletier
F. Petitjean
Geoffrey I. Webb
AI4TS
83
20
0
20 Feb 2021
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series
  Classification
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Angus Dempster
Daniel F. Schmidt
Geoffrey I. Webb
AI4TS
117
370
0
16 Dec 2020
The Canonical Interval Forest (CIF) Classifier for Time Series
  Classification
The Canonical Interval Forest (CIF) Classifier for Time Series Classification
Matthew Middlehurst
J. Large
A. Bagnall
AI4TS
64
109
0
20 Aug 2020
Benchmarking Multivariate Time Series Classification Algorithms
Benchmarking Multivariate Time Series Classification Algorithms
Alejandro Pasos Ruiz
Michael Flynn
A. Bagnall
AI4TS
107
383
0
26 Jul 2020
A tale of two toolkits, report the third: on the usage and performance
  of HIVE-COTE v1.0
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0
A. Bagnall
Michael Flynn
J. Large
Jason Lines
Matthew Middlehurst
88
43
0
13 Apr 2020
A tale of two toolkits, report the second: bake off redux. Chapter 1.
  dictionary based classifiers
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers
A. Bagnall
J. Large
Matthew Middlehurst
AI4TS
38
1
0
27 Nov 2019
ROCKET: Exceptionally fast and accurate time series classification using
  random convolutional kernels
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster
Franccois Petitjean
Geoffrey I. Webb
AI4TS
91
785
0
29 Oct 2019
A tale of two toolkits, report the first: benchmarking time series
  classification algorithms for correctness and efficiency
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency
A. Bagnall
Franz J. Király
M. Löning
Matthew Middlehurst
George Oastler
AI4TS
65
6
0
12 Sep 2019
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series
  Classification
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification
Ahmed Shifaz
Charlotte Pelletier
F. Petitjean
Geoffrey I. Webb
AI4TS
102
186
0
25 Jun 2019
1