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

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

19 / 19 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
36
0
0
04 Oct 2024
Capturing Temporal Components for Time Series Classification
Capturing Temporal Components for Time Series Classification
Venkata Ragavendra Vavilthota
Ranjith Ramanathan
Sathyanarayanan N. Aakur
33
0
0
20 Jun 2024
Efficient High-Resolution Time Series Classification via Attention
  Kronecker Decomposition
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition
Aosong Feng
Jialin Chen
Juan Garza
Brooklyn Berry
Francisco Salazar
Yifeng Gao
Rex Ying
Leandros Tassiulas
46
1
0
07 Mar 2024
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
25
18
0
04 Oct 2023
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
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
Semi-unsupervised Learning for Time Series Classification
Semi-unsupervised Learning for Time Series Classification
Padraig Davidson
M. Steininger
A. Huhn
Anna Krause
Andreas Hotho
28
1
0
07 Jul 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
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
37
31
0
24 Sep 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
38
18
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
50
355
0
16 Dec 2020
Deep learning for time series classification
Deep learning for time series classification
Hassan Ismail Fawaz
BDL
AI4TS
43
35
0
01 Oct 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
36
24
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
24
99
0
24 Feb 2020
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
14
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
104
1,073
0
11 Sep 2019
Scalable Dictionary Classifiers for Time Series Classification
Scalable Dictionary Classifiers for Time Series Classification
Matthew Middlehurst
William D. Vickers
A. Bagnall
16
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
26
183
0
25 Jun 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
AI4TS
AI4CE
136
2,648
0
12 Sep 2018
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