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The UCR Time Series Archive
v1v2 (latest)

The UCR Time Series Archive

17 October 2018
Hoang Anh Dau
A. Bagnall
Kaveh Kamgar
Chin-Chia Michael Yeh
Yan Zhu
Shaghayegh Gharghabi
C. Ratanamahatana
Eamonn Keogh
ArXiv (abs)PDFHTML

Papers citing "The UCR Time Series Archive"

50 / 312 papers shown
Title
Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values
  for Multi-classifiers
Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers
Yanyun Wang
Dehui Du
Yuanhao Liu
34
0
0
14 Sep 2022
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through
  Multi-Objective Attack
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack
Yanyun Wang
Dehui Du
Haibo Hu
Zi Liang
Yuanhao Liu
AAMLAI4TS
107
3
0
14 Sep 2022
Towards an Awareness of Time Series Anomaly Detection Models'
  Adversarial Vulnerability
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability
Shahroz Tariq
B. Le
Simon S. Woo
AAMLAI4TS
52
4
0
24 Aug 2022
Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in
  Emotion Expression Recognition
Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in Emotion Expression Recognition
Saba Akhyani
Mehryar Abbasi Boroujeni
Mo Chen
Angelica Lim
169
6
0
15 Aug 2022
TSInterpret: A unified framework for time series interpretability
TSInterpret: A unified framework for time series interpretability
Jacqueline Höllig
Cedric Kulbach
Steffen Thoma
AI4TSAI4CE
62
2
0
10 Aug 2022
ClaSP -- Parameter-free Time Series Segmentation
ClaSP -- Parameter-free Time Series Segmentation
Arik Ermshaus
Patrick Schäfer
Ulf Leser
AI4TS
109
37
0
28 Jul 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
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero
  Shot Learning
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning
Sathvik Bhaskarpandit
Priyanka Gupta
Manik Gupta
BDLAI4TS
58
2
0
25 Jul 2022
Latent Space Unsupervised Semantic Segmentation
Latent Space Unsupervised Semantic Segmentation
Knut J. Strommen
J. Tørresen
Ulysse Côté-Allard
AI4TS
37
3
0
22 Jul 2022
Transfer learning for time series classification using synthetic data
  generation
Transfer learning for time series classification using synthetic data generation
Yarden Rotem
Nathaniel Shimoni
Lior Rokach
Bracha Shapira
SyDa
46
9
0
16 Jul 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
56
36
0
14 Jul 2022
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal
  Ratio Scoring Approach
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach
Taha Belkhouja
Yan Yan
J. Doppa
OODDAI4TS
87
5
0
09 Jul 2022
Convolutional Neural Networks for Time-dependent Classification of
  Variable-length Time Series
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series
Azusa Sawada
Taiki Miyagawa
Akinori F. Ebihara
S. Yachida
Toshinori Hosoi
AI4TS
45
2
0
08 Jul 2022
A geometric framework for outlier detection in high-dimensional data
A geometric framework for outlier detection in high-dimensional data
Moritz Herrmann
Florian Pfisterer
Fabian Scheipl
65
4
0
01 Jul 2022
Functional Nonlinear Learning
Functional Nonlinear Learning
Haixu Wang
Jiguo Cao
29
7
0
22 Jun 2022
Motiflets -- Simple and Accurate Detection of Motifs in Time Series
Motiflets -- Simple and Accurate Detection of Motifs in Time Series
Patrick Schäfer
Ulf Leser
51
20
0
08 Jun 2022
A Review and Evaluation of Elastic Distance Functions for Time Series
  Clustering
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering
Christopher Holder
Matthew Middlehurst
A. Bagnall
AI4TS
88
43
0
30 May 2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential
  Autoencoder
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Tiexin Qin
Shiqi Wang
Haoliang Li
CMLBDL
50
25
0
16 May 2022
Investigating Temporal Convolutional Neural Networks for Satellite Image
  Time Series Classification: A survey
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification: A survey
James Brock
Zahraa S Abdallah
49
4
0
13 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
70
8
0
07 Apr 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OODTTAAI4TS
82
33
0
07 Apr 2022
Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS
Blavz Bertalanivc
Jakob Jenko
Carolina Fortuna
48
1
0
06 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
75
61
0
25 Mar 2022
Mixing Up Contrastive Learning: Self-Supervised Representation Learning
  for Time Series
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series
Kristoffer Wickstrøm
Michael C. Kampffmeyer
Karl Øyvind Mikalsen
Robert Jenssen
SSLAI4TS
54
96
0
17 Mar 2022
What is the best RNN-cell structure for forecasting each time series
  behavior?
What is the best RNN-cell structure for forecasting each time series behavior?
Rohaifa Khaldi
A. E. Afia
R. Chiheb
Siham Tabik
AI4TS
29
1
0
15 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Christoffer Loeffler
Wei-Cheng Lai
Bjoern M. Eskofier
Dario Zanca
Lukas M. Schmidt
Christopher Mutschler
AI4TSFAtt
78
6
0
14 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
67
15
0
07 Mar 2022
Early Time-Series Classification Algorithms: An Empirical Comparison
Early Time-Series Classification Algorithms: An Empirical Comparison
C. Akasiadis
E. Kladis
Evangelos Michelioudakis
E. Alevizos
A. Artikis
AI4TS
48
4
0
03 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
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Pin-Yu Chen
VLM
196
64
0
22 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
62
23
0
16 Feb 2022
Spectral Propagation Graph Network for Few-shot Time Series
  Classification
Spectral Propagation Graph Network for Few-shot Time Series Classification
Ling Yang
linda Qiao
Luxia Zhang
68
2
0
08 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
80
18
0
28 Jan 2022
Classification of Long Sequential Data using Circular Dilated
  Convolutional Neural Networks
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Lei Cheng
Ruslan Khalitov
Tong Yu
Zhirong Yang
73
32
0
06 Jan 2022
Towards Similarity-Aware Time-Series Classification
Towards Similarity-Aware Time-Series Classification
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Helen Zhou
AI4TS
99
25
0
05 Jan 2022
On the effectiveness of Randomized Signatures as Reservoir for Learning
  Rough Dynamics
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics
Enea Monzio Compagnoni
Anna Scampicchio
Luca Biggio
Antonio Orvieto
Thomas Hofmann
Josef Teichmann
89
11
0
02 Jan 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
98
109
0
30 Dec 2021
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic
  Time Warping
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping
Matthieu Herrmann
Geoffrey I. Webb
72
2
0
26 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part II: Applications, Cognitive Models, and Challenges
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
113
138
0
12 Nov 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A
  Review on Advances
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Shibo Zhang
Yaxuan Li
Shen Zhang
Farzad Shahabi
S. Xia
Yuanbei Deng
N. Alshurafa
BDL
113
319
0
31 Oct 2021
Cluster-and-Conquer: A Framework For Time-Series Forecasting
Cluster-and-Conquer: A Framework For Time-Series Forecasting
Reese Pathak
Rajat Sen
Nikhil S. Rao
N. Benjamin Erichson
Michael I. Jordan
Inderjit S. Dhillon
AI4TS
76
2
0
26 Oct 2021
IB-GAN: A Unified Approach for Multivariate Time Series Classification
  under Class Imbalance
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance
Grace Deng
Cuize Han
T. Dreossi
Clarence Lee
David S. Matteson
AI4TS
66
10
0
14 Oct 2021
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in
  Decarbonized Energy Grids
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids
Xiangtian Zheng
Nan Xu
Loc Trinh
Dongqi Wu
Tong Huang
S. Sivaranjani
Yan Liu
Le Xie
AI4CE
67
47
0
12 Oct 2021
Chaos as an interpretable benchmark for forecasting and data-driven
  modelling
Chaos as an interpretable benchmark for forecasting and data-driven modelling
W. Gilpin
AI4TS
75
82
0
11 Oct 2021
Improving Time Series Classification Algorithms Using
  Octave-Convolutional Layers
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers
Samuel Harford
Fazle Karim
H. Darabi
AI4TS
53
1
0
28 Sep 2021
Random Dilated Shapelet Transform: A New Approach for Time Series
  Shapelets
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets
Antoine Guillaume
Christel Vrain
Wael Elloumi
AI4TS
109
31
0
28 Sep 2021
A geometric perspective on functional outlier detection
A geometric perspective on functional outlier detection
Moritz Herrmann
Fabian Scheipl
48
7
0
14 Sep 2021
Automated Label Generation for Time Series Classification with
  Representation Learning: Reduction of Label Cost for Training
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training
S. Bandyopadhyay
Anish Datta
A. Pal
AI4TS
35
2
0
12 Jul 2021
TS2Vec: Towards Universal Representation of Time Series
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yu Tong
Bixiong Xu
AI4TS
143
592
0
19 Jun 2021
Voice2Series: Reprogramming Acoustic Models for Time Series
  Classification
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Chao-Han Huck Yang
Yun-Yun Tsai
Pin-Yu Chen
AI4TS
120
130
0
17 Jun 2021
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