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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
SeqNAS: Neural Architecture Search for Event Sequence Classification
SeqNAS: Neural Architecture Search for Event Sequence Classification
Igor Udovichenko
Egor Shvetsov
Denis Divitsky
Dmitry Osin
I. Trofimov
Anatoliy Glushenko
I. Sukharev
Dmitry Berestnev
Evgeny Burnaev
68
8
0
06 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
116
11
0
28 Dec 2023
Soft Contrastive Learning for Time Series
Soft Contrastive Learning for Time Series
Seunghan Lee
Taeyoung Park
Kibok Lee
AI4TS
106
23
0
27 Dec 2023
Curriculum Design Helps Spiking Neural Networks to Classify Time Series
Curriculum Design Helps Spiking Neural Networks to Classify Time Series
Chenxi Sun
Hongyan Li
Moxian Song
Derun Can
linda Qiao
68
0
0
26 Dec 2023
TimesURL: Self-supervised Contrastive Learning for Universal Time Series
  Representation Learning
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning
Jiexi Liu
Songcan Chen
AI4TS
77
40
0
25 Dec 2023
Deep Unsupervised Domain Adaptation for Time Series Classification: a
  Benchmark
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
Hassan Ismail Fawaz
Ganesh Del Grosso
Tanguy Kerdoncuff
Aurélie Boisbunon
Illyyne Saffar
AI4TS
68
2
0
15 Dec 2023
Multi-Granularity Framework for Unsupervised Representation Learning of
  Time Series
Multi-Granularity Framework for Unsupervised Representation Learning of Time Series
Chengyang Ye
Qiang Ma
AI4TS
53
0
0
12 Dec 2023
Series2Vec: Similarity-based Self-supervised Representation Learning for
  Time Series Classification
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification
Navid Mohammadi Foumani
Chang Wei Tan
Geoffrey I. Webb
Hamid Rezatofighi
Mahsa Salehi
SSLAI4TS
105
5
0
07 Dec 2023
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural
  Architecture Search in Time Series Anomaly Detection
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection
Ijazul Haq
Byung Suk Lee
Donna M. Rizzo
AI4TS
54
7
0
29 Nov 2023
A Bag of Receptive Fields for Time Series Extrinsic Predictions
A Bag of Receptive Fields for Time Series Extrinsic Predictions
Francesco Spinnato
Riccardo Guidotti
A. Monreale
M. Nanni
AI4TS
30
0
0
29 Nov 2023
XAI for time-series classification leveraging image highlight methods
XAI for time-series classification leveraging image highlight methods
Georgios Makridis
G. Fatouros
Vasileios Koukos
Dimitrios Kotios
D. Kyriazis
Ioannis Soldatos
AI4TS
52
2
0
28 Nov 2023
FRUITS: Feature Extraction Using Iterated Sums for Time Series
  Classification
FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification
Joscha Diehl
Richard Krieg
AI4TS
48
5
0
24 Nov 2023
Finding Foundation Models for Time Series Classification with a PreText
  Task
Finding Foundation Models for Time Series Classification with a PreText Task
Ali Ismail-Fawaz
Maxime Devanne
Stefano Berretti
Jonathan Weber
Germain Forestier
115
5
0
24 Nov 2023
Self-Distilled Representation Learning for Time Series
Self-Distilled Representation Learning for Time Series
Felix Pieper
Konstantin Ditschuneit
Martin Genzel
Alexandra Lindt
Johannes Otterbach
AI4TS
64
1
0
19 Nov 2023
Inherently Interpretable Time Series Classification via Multiple
  Instance Learning
Inherently Interpretable Time Series Classification via Multiple Instance Learning
Joseph Early
Gavin K. C. Cheung
Kurt Cutajar
Hanting Xie
Jas Kandola
Niall Twomey
AI4TS
100
13
0
16 Nov 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure
  Graph Perspective
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
Kun Yi
Qi Zhang
Wei Fan
Hui He
Liang Hu
Pengyang Wang
Ning An
Longbin Cao
ZhenDong Niu
AI4TS
78
129
0
10 Nov 2023
Ego-Network Transformer for Subsequence Classification in Time Series
  Data
Ego-Network Transformer for Subsequence Classification in Time Series Data
Chin-Chia Michael Yeh
Huiyuan Chen
Yujie Fan
Xin Dai
Yan Zheng
...
Junpeng Wang
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn J. Keogh
87
5
0
05 Nov 2023
Temporal Treasure Hunt: Content-based Time Series Retrieval System for
  Discovering Insights
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights
Chin-Chia Michael Yeh
Huiyuan Chen
Xin Dai
Yan Zheng
Yujie Fan
...
Junpeng Wang
Audrey Der
Zhongfang Zhuang
Liang Wang
Wei Zhang
49
1
0
05 Nov 2023
Performance Improvement in Multi-class Classification via Automated
  Hierarchy Generation and Exploitation through Extended LCPN Schemes
Performance Improvement in Multi-class Classification via Automated Hierarchy Generation and Exploitation through Extended LCPN Schemes
Celal Alagoz
22
0
0
31 Oct 2023
Raising the ClaSS of Streaming Time Series Segmentation
Raising the ClaSS of Streaming Time Series Segmentation
Arik Ermshaus
Patrick Schäfer
Ulf Leser
AI4TS
62
6
0
31 Oct 2023
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression
  via Expectation Maximization
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization
Shu Yu Tew
Mario Boley
Daniel F. Schmidt
UQCV
130
4
0
29 Oct 2023
Interpretable time series neural representation for classification
  purposes
Interpretable time series neural representation for classification purposes
E. L. Naour
G. Agoua
Nicolas Baskiotis
Vincent Guigue
AI4TS
31
0
0
25 Oct 2023
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series
  Classification
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification
Jacqueline Höllig
Steffen Thoma
Florian Grimm
AI4TS
62
1
0
23 Oct 2023
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
YeXin Huang
AI4TS
65
0
0
22 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TSSyDa
172
125
0
16 Oct 2023
Data Augmentation for Time-Series Classification: An Extensive Empirical
  Study and Comprehensive Survey
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
Zijun Gao
Lingbo Li
AI4TS
105
9
0
16 Oct 2023
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series
  Pretraining
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining
Chenguo Lin
Xumeng Wen
Wei Cao
Congrui Huang
Jiang Bian
Stephen Lin
Zhirong Wu
AI4TS
88
5
0
11 Oct 2023
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning
  Behavior in Time Series Classification from Frequency Domain
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain
Junru Zhang
Lang Feng
Yang He
Yuhan Wu
Yabo Dong
AI4TS
87
6
0
09 Oct 2023
T-Rep: Representation Learning for Time Series using Time-Embeddings
T-Rep: Representation Learning for Time Series using Time-Embeddings
Archibald Fraikin
Adrien Bennetot
S. Allassonnière
AI4TS
77
13
0
06 Oct 2023
Introducing the Attribution Stability Indicator: a Measure for Time
  Series XAI Attributions
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions
U. Schlegel
Daniel A. Keim
AI4TS
92
1
0
06 Oct 2023
Multitask Learning for Time Series Data with 2D Convolution
Multitask Learning for Time Series Data with 2D Convolution
Chin-Chia Michael Yeh
Xin Dai
Yan Zheng
Junpeng Wang
Huiyuan Chen
Yujie Fan
Audrey Der
Zhongfang Zhuang
Liang Wang
Wei Zhang
AI4TS
78
3
0
05 Oct 2023
An Efficient Content-based Time Series Retrieval System
An Efficient Content-based Time Series Retrieval System
Chin-Chia Michael Yeh
Huiyuan Chen
Xin Dai
Yan Zheng
Junpeng Wang
...
Audrey Der
Zhongfang Zhuang
Liang Wang
Wei Zhang
Jeff M. Phillips
68
6
0
05 Oct 2023
Toward a Foundation Model for Time Series Data
Toward a Foundation Model for Time Series Data
Chin-Chia Michael Yeh
Xin Dai
Huiyuan Chen
Yan Zheng
Yujie Fan
...
Vivian Lai
Zhongfang Zhuang
Junpeng Wang
Liang Wang
Wei Zhang
AI4TSAI4CE
159
26
0
05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as
  an Ally
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
Shawqi Al-Maliki
Adnan Qayyum
Hassan Ali
M. Abdallah
Junaid Qadir
D. Hoang
Dusit Niyato
Ala I. Al-Fuqaha
AAML
121
3
0
05 Oct 2023
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
80
26
0
04 Oct 2023
Determining the Optimal Number of Clusters for Time Series Datasets with
  Symbolic Pattern Forest
Determining the Optimal Number of Clusters for Time Series Datasets with Symbolic Pattern Forest
Md. Nishat Raihan
AI4TS
47
2
0
01 Oct 2023
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW
  Barycenter Averaging
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging
Ali Ismail-Fawaz
Hassan Ismail Fawaz
Franccois Petitjean
Maxime Devanne
Jonathan Weber
Stefano Berretti
Geoffrey I. Webb
Germain Forestier
AI4TS
52
6
0
28 Sep 2023
Unified Long-Term Time-Series Forecasting Benchmark
Unified Long-Term Time-Series Forecasting Benchmark
Wenzhuo Zhou
Szymon Haponiuk
AI4TS
49
2
0
27 Sep 2023
Detach-ROCKET: Sequential feature selection for time series
  classification with random convolutional kernels
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels
Gonzalo Uribarri
Federico Barone
A. Ansuini
Erik Fransén
AI4TS
89
6
0
25 Sep 2023
Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block
  Decomposition
Learning Large-Scale MTP2_22​ Gaussian Graphical Models via Bridge-Block Decomposition
Xiwen Wang
Jiaxi Ying
Daniel P. Palomar
68
3
0
23 Sep 2023
Generating Hierarchical Structures for Improved Time Series
  Classification Using Stochastic Splitting Functions
Generating Hierarchical Structures for Improved Time Series Classification Using Stochastic Splitting Functions
Celal Alagoz
26
0
0
21 Sep 2023
Generative Pre-Training of Time-Series Data for Unsupervised Fault
  Detection in Semiconductor Manufacturing
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
Sewoong Lee
JinKyou Choi
Min Su Kim
AI4TS
77
0
0
20 Sep 2023
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel
  Internal Causality Scheme
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme
Yuanhao Liu
Dehui Du
Zihan Jiang
Anyan Huang
Yiyang Li
BDLCMLAI4TS
50
0
0
13 Sep 2023
Examining the Effect of Pre-training on Time Series Classification
Examining the Effect of Pre-training on Time Series Classification
Jiashu Pu
Shiwei Zhao
Ling Cheng
Yongzhu Chang
Runze Wu
Tangjie Lv
Rongsheng Zhang
AI4TS
113
0
0
11 Sep 2023
TSGBench: Time Series Generation Benchmark
TSGBench: Time Series Generation Benchmark
Yihao Ang
Qiang Huang
Yifan Bao
Anthony K. H. Tung
Zhiyong Huang
AI4TS
115
21
0
07 Sep 2023
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time
  Series
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series
Chang George Dong
Liangwei Nathan Zheng
Weitong Chen
Wei Emma Zhang
Lin Yue
AAML
57
7
0
06 Sep 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for
  Time Series
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Chenxi Sun
Hongyan Li
Yaliang Li
linda Qiao
AI4TS
99
131
0
16 Aug 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
67
1
0
02 Aug 2023
Enhancing Representation Learning for Periodic Time Series with Floss: A
  Frequency Domain Regularization Approach
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach
Chunwei Yang
Xiaoxu Chen
Lijun Sun
Hongyu Yang
Yuankai Wu
AI4TS
100
4
0
02 Aug 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
61
9
0
02 Aug 2023
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