ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.07758
  4. Cited By
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
Explanation Space: A New Perspective into Time Series Interpretability
Explanation Space: A New Perspective into Time Series Interpretability
Shahbaz Rezaei
Xin Liu
AI4TS
237
2
0
02 Sep 2024
A Scalable k-Medoids Clustering via Whale Optimization Algorithm
A Scalable k-Medoids Clustering via Whale Optimization Algorithm
Huang Chenan
N. Tsutsumida
44
1
0
30 Aug 2024
Benchmarking Counterfactual Interpretability in Deep Learning Models for
  Time Series Classification
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
Ziwen Kan
Shahbaz Rezaei
Xin Liu
BDLAI4TS
61
0
0
22 Aug 2024
Interactive Counterfactual Generation for Univariate Time Series
Interactive Counterfactual Generation for Univariate Time Series
U. Schlegel
Julius Rauscher
Daniel A. Keim
AI4TS
68
1
0
20 Aug 2024
Finding the DeepDream for Time Series: Activation Maximization for
  Univariate Time Series
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series
U. Schlegel
Daniel A. Keim
Tobias Sutter
AI4TS
28
1
0
20 Aug 2024
RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
Xiaosheng Li
Wenjie Xi
Jessica Lin
AI4TS
48
2
0
15 Aug 2024
A Systematic Evaluation of Generated Time Series and Their Effects in
  Self-Supervised Pretraining
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining
Audrey Der
Chin-Chia Michael Yeh
Xin Dai
Huiyuan Chen
Yan Zheng
...
Vivian Lai
Junpeng Wang
Liang Wang
Wei Zhang
Eamonn J. Keogh
AI4TS
68
1
0
15 Aug 2024
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and
  Robust Analysis
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
Chang Dong
Liangwei Nathan Zheng
Weitong Chen
AI4TS
79
16
0
14 Aug 2024
An End-to-End Model for Time Series Classification In the Presence of
  Missing Values
An End-to-End Model for Time Series Classification In the Presence of Missing Values
Pengshuai Yao
Mengna Liu
Xu Cheng
Fan Shi
Huan Li
Xiufeng Liu
Shengyong Chen
AI4TS
66
0
0
11 Aug 2024
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An
  Improved ROCKET Algorithm for Multivariate Time Series Analysis
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis
Adria Solana
Erik Fransén
Gonzalo Uribarri
64
2
0
05 Aug 2024
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using
  Neural Networks: A Survey
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey
Riccardo Pellini
Sven Nitzsche
Daniel Floegel
Tobias Schürmann
Stefan von Dosky
Maurizio Ferrari Dacrema
Marvin Mußler
Florian Kälber
Sören Hohmann
Juergen Becker
54
3
0
01 Aug 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Junru Chen
Tianyu Cao
Ninon De Mecquenem
Jiahe Li
Zhilong Chen
F. Friederici
Yang Yang
121
1
0
31 Jul 2024
Learning Optimal Signal Temporal Logic Decision Trees for
  Classification: A Max-Flow MILP Formulation
Learning Optimal Signal Temporal Logic Decision Trees for Classification: A Max-Flow MILP Formulation
Kaier Liang
Gustavo A. Cardona
Disha Kamale
C. Vasile
51
0
0
30 Jul 2024
Revisiting the robustness of post-hoc interpretability methods
Revisiting the robustness of post-hoc interpretability methods
Jiawen Wei
Hugues Turbé
G. Mengaldo
AAML
118
4
0
29 Jul 2024
HIERVAR: A Hierarchical Feature Selection Method for Time Series
  Analysis
HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis
Alireza Keshavarzian
S. Valaee
69
0
0
22 Jul 2024
Filtration learning in exact multi-parameter persistent homology and
  classification of time-series data
Filtration learning in exact multi-parameter persistent homology and classification of time-series data
Keunsu Kim
Jae-Hun Jung
45
0
0
28 Jun 2024
Capturing Temporal Components for Time Series Classification
Capturing Temporal Components for Time Series Classification
Venkata Ragavendra Vavilthota
Ranjith Ramanathan
Sathyanarayanan N. Aakur
51
0
0
20 Jun 2024
Improving the Evaluation and Actionability of Explanation Methods for
  Multivariate Time Series Classification
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
D. Serramazza
Thach le Nguyen
Georgiana Ifrim
70
3
0
18 Jun 2024
On when is Reservoir Computing with Cellular Automata Beneficial?
On when is Reservoir Computing with Cellular Automata Beneficial?
T. Glover
Evgeny Osipov
Stefano Nichele
116
1
0
13 Jun 2024
Data Augmentation for Multivariate Time Series Classification: An
  Experimental Study
Data Augmentation for Multivariate Time Series Classification: An Experimental Study
Romain Ilbert
Thai V. Hoang
Zonghua Zhang
69
1
0
10 Jun 2024
Denoising-Aware Contrastive Learning for Noisy Time Series
Denoising-Aware Contrastive Learning for Noisy Time Series
Shuang Zhou
Daochen Zha
Xiao Shen
Xiao Shi Huang
Rui Zhang
Fu-Lai Chung
AI4TS
78
2
0
07 Jun 2024
ROSE: Register Assisted General Time Series Forecasting with Decomposed
  Frequency Learning
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning
Yihang Wang
Yuying Qiu
Peng Chen
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TSAI4CE
92
11
0
24 May 2024
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly
  Detection
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Xing Xi
Yue Xu
Jiahui Chen
Kaixiang Yang
AI4TS
77
2
0
18 May 2024
TimeX++: Learning Time-Series Explanations with Information Bottleneck
TimeX++: Learning Time-Series Explanations with Information Bottleneck
Zichuan Liu
Tianchun Wang
Jimeng Shi
Xu Zheng
Zhuomin Chen
Lei Song
Wenqian Dong
J. Obeysekera
Farhad Shirani
Dongsheng Luo
AI4TS
89
11
0
15 May 2024
Establishing a Unified Evaluation Framework for Human Motion Generation:
  A Comparative Analysis of Metrics
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics
Ali Ismail-Fawaz
Maxime Devanne
Stefano Berretti
Jonathan Weber
Germain Forestier
EGVM
82
4
0
13 May 2024
TS3IM: Unveiling Structural Similarity in Time Series through Image
  Similarity Assessment Insights
TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insights
Yuhan Liu
Ke Tu
AI4TS
28
1
0
10 May 2024
Concrete Dense Network for Long-Sequence Time Series Clustering
Concrete Dense Network for Long-Sequence Time Series Clustering
Redemptor Jr Laceda Taloma
Patrizio Pisani
Danilo Comminiello
AI4TS
81
0
0
08 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series
A Survey of Few-Shot Learning for Biomedical Time Series
Chenqi Li
Timothy Denison
Tingting Zhu
94
1
0
03 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model
Weiqi Zhang
Jiexia Ye
Ke Yi
Yongzi Yu
Ziyue Li
Jia Li
Fugee Tsung
AI4TSAI4CE
98
29
0
03 May 2024
Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting
Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting
Kevin Wilkinghoff
Alessia Cornaggia
82
0
0
23 Apr 2024
LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series
  classification
LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification
Zhicheng Du
Zhaotian Xie
Yan Tong
Peiwu Qin
AI4TS
38
1
0
23 Mar 2024
Supervised Learning via Ensembles of Diverse Functional Representations:
  the Functional Voting Classifier
Supervised Learning via Ensembles of Diverse Functional Representations: the Functional Voting Classifier
Donato Riccio
Fabrizio Maturo
Elvira Romano
36
3
0
23 Mar 2024
Towards Diverse Perspective Learning with Selection over Multiple
  Temporal Poolings
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
Jihyeon Seong
Jungmin Kim
Jaesik Choi
AI4TS
81
1
0
14 Mar 2024
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification
Yuxing Han
Yunan Ding
Chen Ye Gan
Jiangtao Wen
44
0
0
13 Mar 2024
Dataset Condensation for Time Series Classification via Dual Domain
  Matching
Dataset Condensation for Time Series Classification via Dual Domain Matching
Zhanyu Liu
Ke Hao
Guanjie Zheng
Yanwei Yu
DD
120
5
0
12 Mar 2024
United We Pretrain, Divided We Fail! Representation Learning for Time
  Series by Pretraining on 75 Datasets at Once
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once
Maurice Kraus
Felix Divo
David Steinmann
Devendra Singh Dhami
Kristian Kersting
AI4TS
85
1
0
23 Feb 2024
Deep Coupling Network For Multivariate Time Series Forecasting
Deep Coupling Network For Multivariate Time Series Forecasting
Kun Yi
Qi Zhang
Hui He
Kaize Shi
Liang Hu
Ning An
ZhenDong Niu
AI4TS
65
6
0
23 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh
Dongyoung Lim
Sungil Kim
AI4TS
158
17
0
22 Feb 2024
MSTAR: Multi-Scale Backbone Architecture Search for Timeseries
  Classification
MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification
Tue Cao
N.H. Tran
Hieu H. Pham
Hung T. Nguyen
Le P. Nguyen
68
0
0
21 Feb 2024
Multivariate Functional Linear Discriminant Analysis for the
  Classification of Short Time Series with Missing Data
Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data
Rahul Bordoloi
Clémence Réda
Orell Trautmann
Saptarshi Bej
Olaf Wolkenhauer
28
2
0
20 Feb 2024
Right on Time: Revising Time Series Models by Constraining their Explanations
Right on Time: Revising Time Series Models by Constraining their Explanations
Maurice Kraus
David Steinmann
Antonia Wüst
Andre Kokozinski
Kristian Kersting
AI4TS
92
4
0
20 Feb 2024
Parametric Augmentation for Time Series Contrastive Learning
Parametric Augmentation for Time Series Contrastive Learning
Xu Zheng
Tianchun Wang
Wei Cheng
Aitian Ma
Haifeng Chen
Mo Sha
Dongsheng Luo
AI4TS
82
15
0
16 Feb 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu
Haoran Zhang
Chenyu Li
Xiangdong Huang
Jianmin Wang
Mingsheng Long
AIFinAI4TSAI4CE
112
66
0
04 Feb 2024
Rank Supervised Contrastive Learning for Time Series Classification
Rank Supervised Contrastive Learning for Time Series Classification
Qianying Ren
Dongsheng Luo
Dongjin Song
AI4TS
62
2
0
31 Jan 2024
Evaluation of k-means time series clustering based on z-normalization
  and NP-Free
Evaluation of k-means time series clustering based on z-normalization and NP-Free
Ming-Chang Lee
Jia-Chun Lin
Volker Stolz
AI4TS
66
0
0
28 Jan 2024
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Angus Dempster
Geoffrey I. Webb
Daniel F. Schmidt
89
0
0
28 Jan 2024
A Survey of Deep Learning and Foundation Models for Time Series
  Forecasting
A Survey of Deep Learning and Foundation Models for Time Series Forecasting
John A. Miller
Mohammed Aldosari
Farah Saeed
Nasid Habib Barna
Subas Rana
I. Arpinar
Ninghao Liu
AI4TSAI4CE
111
22
0
25 Jan 2024
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
Audrey Der
Chin-Chia Michael Yeh
Yan Zheng
Junpeng Wang
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn J. Keogh
AI4TS
76
2
0
16 Jan 2024
Enhancing Evolving Domain Generalization through Dynamic Latent
  Representations
Enhancing Evolving Domain Generalization through Dynamic Latent Representations
Binghui Xie
Yongqiang Chen
Jiaqi Wang
Kaiwen Zhou
Bo Han
Wei Meng
James Cheng
111
5
0
16 Jan 2024
Universal Time-Series Representation Learning: A Survey
Universal Time-Series Representation Learning: A Survey
Patara Trirat
Yooju Shin
Junhyeok Kang
Youngeun Nam
Jihye Na
Minyoung Bae
Joeun Kim
Byunghyun Kim
Jae-Gil Lee
AI4TS
131
17
0
08 Jan 2024
Previous
1234567
Next