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Proximity Forest: An effective and scalable distance-based classifier
  for time series
v1v2 (latest)

Proximity Forest: An effective and scalable distance-based classifier for time series

31 August 2018
Benjamin Lucas
Ahmed Shifaz
Charlotte Pelletier
Lachlan O’Neill
Nayyar Zaidi
Bart Goethals
F. Petitjean
Geoffrey I. Webb
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Proximity Forest: An effective and scalable distance-based classifier for time series"

32 / 32 papers shown
Title
Forest Proximities for Time Series
Forest Proximities for Time Series
Ben Shaw
Jake S. Rhodes
Soukaina Filali Boubrahimi
Kevin R. Moon
AI4TS
110
0
0
04 Oct 2024
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
57
9
0
02 Aug 2023
Convolutional and Deep Learning based techniques for Time Series Ordinal
  Classification
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
85
0
0
16 Jun 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
BDLAI4TS
149
107
0
06 Feb 2023
Parameterizing the cost function of Dynamic Time Warping with
  application to time series classification
Parameterizing the cost function of Dynamic Time Warping with application to time series classification
Matthieu Herrmann
Chang Wei Tan
Geoffrey I. Webb
AI4TS
66
12
0
24 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
90
32
0
19 Dec 2022
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate
  Data Series Classification
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification
Paul Boniol
M. Meftah
E. Remy
Themis Palpanas
AI4TS
48
27
0
25 Jul 2022
Semi-unsupervised Learning for Time Series Classification
Semi-unsupervised Learning for Time Series Classification
Padraig Davidson
M. Steininger
A. Huhn
Anna Krause
Andreas Hotho
65
1
0
07 Jul 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
75
61
0
25 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
56
15
0
07 Mar 2022
A spatiotemporal machine learning approach to forecasting COVID-19
  incidence at the county level in the USA
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA
Benjamin Lucas
Behzad Vahedi
M. Karimzadeh
OOD
81
34
0
24 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
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
Early Abandoning and Pruning for Elastic Distances including Dynamic
  Time Warping
Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping
Matthieu Herrmann
Geoffrey I. Webb
AI4TS
46
19
0
10 Feb 2021
MultiRocket: Multiple pooling operators and transformations for fast and
  effective time series classification
MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification
Chang Wei Tan
Angus Dempster
Christoph Bergmeir
Geoffrey I. Webb
AI4TS
118
143
0
31 Jan 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
114
370
0
16 Dec 2020
A Transformer-based Framework for Multivariate Time Series
  Representation Learning
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
AI4TS
109
947
0
06 Oct 2020
Deep learning for time series classification
Deep learning for time series classification
Hassan Ismail Fawaz
BDLAI4TS
79
38
0
01 Oct 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
Monash University, UEA, UCR Time Series Extrinsic Regression Archive
Monash University, UEA, UCR Time Series Extrinsic Regression Archive
Chang Wei Tan
Christoph Bergmeir
F. Petitjean
Geoffrey I. Webb
AI4TS
111
23
0
19 Jun 2020
Omni-Scale CNNs: a simple and effective kernel size configuration for
  time series classification
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
118
104
0
24 Feb 2020
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
Time series classification for varying length series
Time series classification for varying length series
Chang Wei Tan
F. Petitjean
Eamonn Keogh
Geoffrey I. Webb
AI4TS
57
32
0
10 Oct 2019
sktime: A Unified Interface for Machine Learning with Time Series
sktime: A Unified Interface for Machine Learning with Time Series
M. Löning
A. Bagnall
S. Ganesh
V. Kazakov
Jason Lines
Franz J. Király
SyDaAI4TS
72
233
0
17 Sep 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
InceptionTime: Finding AlexNet for Time Series Classification
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
196
1,129
0
11 Sep 2019
TEASER: Early and Accurate Time Series Classification
TEASER: Early and Accurate Time Series Classification
Patrick Schäfer
Ulf Leser
AI4TS
68
62
0
09 Aug 2019
Scalable Dictionary Classifiers for Time Series Classification
Scalable Dictionary Classifiers for Time Series Classification
Matthew Middlehurst
William D. Vickers
A. Bagnall
59
61
0
26 Jul 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
Deep Neural Network Ensembles for Time Series Classification
Deep Neural Network Ensembles for Time Series Classification
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TSUQCV
63
71
0
15 Mar 2019
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TSAI4CE
376
2,720
0
12 Sep 2018
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