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The UEA multivariate time series classification archive, 2018

The UEA multivariate time series classification archive, 2018

31 October 2018
A. Bagnall
Hoang Anh Dau
Jason Lines
Michael Flynn
J. Large
A. Bostrom
Paul Southam
Eamonn Keogh
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "The UEA multivariate time series classification archive, 2018"

34 / 234 papers shown
Title
TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle
  Inequality and Point Clustering
TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering
Daniel Shen
Min Chi
25
18
0
15 Jan 2021
Hierarchical Clustering using Auto-encoded Compact Representation for
  Time-series Analysis
Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis
S. Bandyopadhyay
Anish Datta
A. Pal
AI4TS
32
5
0
11 Jan 2021
Memory-Gated Recurrent Networks
Memory-Gated Recurrent Networks
Yaquan Zhang
Qi Wu
Nanbo Peng
Min Dai
Jing Zhang
Hu Wang
BDLAI4TS
47
7
0
24 Dec 2020
RTFN: A Robust Temporal Feature Network for Time Series Classification
RTFN: A Robust Temporal Feature Network for Time Series Classification
Zhiwen Xiao
Xin Xu
Huanlai Xing
Shouxi Luo
Penglin Dai
Dawei Zhan
AI4TS
87
160
0
24 Nov 2020
Deep Reservoir Networks with Learned Hidden Reservoir Weights using
  Direct Feedback Alignment
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment
Matthew Evanusa
Cornelia Fermuller
Yiannis Aloimonos
AI4TS
42
1
0
13 Oct 2020
Multivariate Time Series Classification with Hierarchical Variational
  Graph Pooling
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Ziheng Duan
Haoyan Xu
Yueyang Wang
Yida Huang
Anni Ren
Qianru Zhang
Yizhou Sun
Wei Wang
AI4TS
73
58
0
12 Oct 2020
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series
Vincent Jacob
Fei Song
Arnaud Stiegler
Bijan Rad
Y. Diao
Nesime Tatbul
AI4TS
100
68
0
10 Oct 2020
TOTOPO: Classifying univariate and multivariate time series with
  Topological Data Analysis
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis
Polina Pilyugina
Rodrigo Rivera-Castro
Eugeny Burnaev
AI4TS
23
1
0
10 Oct 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
111
951
0
06 Oct 2020
TimeAutoML: Autonomous Representation Learning for Multivariate
  Irregularly Sampled Time Series
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Yang Jiao
Kai Yang
Shaoyu Dou
Pan Luo
Sijia Liu
Dongjin Song
AI4TS
94
8
0
04 Oct 2020
XCM: An Explainable Convolutional Neural Network for Multivariate Time
  Series Classification
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification
Kevin Fauvel
Tao R. Lin
Véronique Masson
Elisa Fromont
Alexandre Termier
BDLAI4TS
41
102
0
10 Sep 2020
Multivariable times series classification through an interpretable
  representation
Multivariable times series classification through an interpretable representation
Francisco Javier Baldan
J. M. Benítez
FAttAI4TS
34
10
0
08 Sep 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
HiPPO: Recurrent Memory with Optimal Polynomial Projections
HiPPO: Recurrent Memory with Optimal Polynomial Projections
Albert Gu
Tri Dao
Stefano Ermon
Atri Rudra
Christopher Ré
179
551
0
17 Aug 2020
Benchmarking Multivariate Time Series Classification Algorithms
Benchmarking Multivariate Time Series Classification Algorithms
Alejandro Pasos Ruiz
Michael Flynn
A. Bagnall
AI4TS
115
383
0
26 Jul 2020
Multivariate Time Series Classification Using Spiking Neural Networks
Multivariate Time Series Classification Using Spiking Neural Networks
Haowen Fang
Amar Shrestha
Qinru Qiu
48
16
0
07 Jul 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
A Generalised Signature Method for Multivariate Time Series Feature
  Extraction
A Generalised Signature Method for Multivariate Time Series Feature Extraction
James Morrill
Adeline Fermanian
Patrick Kidger
Terry Lyons
93
14
0
01 Jun 2020
Generalised Interpretable Shapelets for Irregular Time Series
Generalised Interpretable Shapelets for Irregular Time Series
Patrick Kidger
James Morrill
Terry Lyons
AI4TS
68
7
0
28 May 2020
Neural Controlled Differential Equations for Irregular Time Series
Neural Controlled Differential Equations for Irregular Time Series
Patrick Kidger
James Morrill
James Foster
Terry Lyons
AI4TS
140
483
0
18 May 2020
Supervised Feature Subset Selection and Feature Ranking for Multivariate
  Time Series without Feature Extraction
Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction
Shuchu Han
Alexandru Niculescu-Mizil
AI4TS
22
4
0
01 May 2020
Detecting Driver's Distraction using Long-term Recurrent Convolutional
  Network
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network
Chang Wei Tan
Mahsa Salehi
G. Mackellar
31
5
0
14 Apr 2020
TSInsight: A local-global attribution framework for interpretability in
  time-series data
TSInsight: A local-global attribution framework for interpretability in time-series data
Shoaib Ahmed Siddiqui
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
FAttAI4TS
55
12
0
06 Apr 2020
Adversarial Attacks on Multivariate Time Series
Adversarial Attacks on Multivariate Time Series
Samuel Harford
Fazle Karim
H. Darabi
AI4TSAAML
55
22
0
31 Mar 2020
A Kernel to Exploit Informative Missingness in Multivariate Time Series
  from EHRs
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs
Karl Øyvind Mikalsen
C. Soguero-Ruíz
Robert Jenssen
AI4TS
33
2
0
27 Feb 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
120
106
0
24 Feb 2020
Discovering Subdimensional Motifs of Different Lengths in Large-Scale
  Multivariate Time Series
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series
Yifeng Gao
Jessica Lin
AI4TS
14
12
0
20 Nov 2019
Self-attention for raw optical Satellite Time Series Classification
Self-attention for raw optical Satellite Time Series Classification
M. Rußwurm
Marco Körner
AI4TS
107
268
0
23 Oct 2019
ODE guided Neural Data Augmentation Techniques for Time Series Data and
  its Benefits on Robustness
ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness
A. Sarkar
A. Raj
Raghu Sesha Iyengar
AAMLAI4TS
55
0
0
15 Oct 2019
A self-organising eigenspace map for time series clustering
A self-organising eigenspace map for time series clustering
D. Rahmani
D. Fay
J. Brodzki
AI4TS
49
0
0
14 May 2019
Unsupervised Scalable Representation Learning for Multivariate Time
  Series
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi
Hadrien Hendrikx
Martin Jaggi
SSLAI4TS
97
463
0
30 Jan 2019
Temporal Convolutional Neural Network for the Classification of
  Satellite Image Time Series
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
Charlotte Pelletier
Geoffrey I. Webb
F. Petitjean
124
446
0
26 Nov 2018
Signature moments to characterize laws of stochastic processes
Signature moments to characterize laws of stochastic processes
I. Chevyrev
Harald Oberhauser
420
112
0
25 Oct 2018
Is rotation forest the best classifier for problems with continuous
  features?
Is rotation forest the best classifier for problems with continuous features?
A. Bagnall
Michael Flynn
J. Large
Jason Lines
A. Bostrom
G. Cawley
64
39
0
18 Sep 2018
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