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. 1811.00075
  4. Cited By
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"

50 / 234 papers shown
Title
DejaVid: Encoder-Agnostic Learned Temporal Matching for Video Classification
DejaVid: Encoder-Agnostic Learned Temporal Matching for Video Classification
Darryl Ho
Samuel Madden
AI4TS
26
0
0
14 Jun 2025
A theoretical framework for self-supervised contrastive learning for continuous dependent data
A theoretical framework for self-supervised contrastive learning for continuous dependent data
Alexander Marusov
Alexander Yuhay
Alexey Zaytsev
81
0
0
11 Jun 2025
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
Simon Roschmann
Quentin Bouniot
Vasilii Feofanov
I. Redko
Zeynep Akata
AI4TS
43
0
0
10 Jun 2025
LightGTS: A Lightweight General Time Series Forecasting Model
LightGTS: A Lightweight General Time Series Forecasting Model
Yihang Wang
Yuying Qiu
Peng Chen
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TSVLM
72
1
0
06 Jun 2025
Learning long range dependencies through time reversal symmetry breaking
Guillaume Pourcel
Maxence Ernoult
109
1
0
05 Jun 2025
Weight-Space Linear Recurrent Neural Networks
Weight-Space Linear Recurrent Neural Networks
Roussel Desmond Nzoyem
Nawid Keshtmand
Idriss Tsayem
David A.W. Barton
Tom Deakin
48
0
0
01 Jun 2025
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision
Jiahui Zhou
Dan Li
Lin Li
Zhuomin Chen
Shunyu Wu
Haozheng Ye
Jian Lou
Costas J. Spanos
AI4TSLRM
45
0
0
01 Jun 2025
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification
Tian Tian
Chunyan Miao
Hangwei Qian
AI4TS
28
0
0
29 May 2025
Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
Tal Gonen
Itai Pemper
Ilan Naiman
Nimrod Berman
Omri Azencot
DiffM
81
0
0
26 May 2025
Rotary Masked Autoencoders are Versatile Learners
Rotary Masked Autoencoders are Versatile Learners
Uros Zivanovic
Serafina Di Gioia
Andre Scaffidi
Martín de los Rios
Gabriella Contardo
R. Trotta
42
0
0
26 May 2025
Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models
Benjamin Walker
Lingyi Yang
Nicola Muca Cirone
C. Salvi
Terry Lyons
AI4TS
100
0
0
23 May 2025
Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions
Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions
Utsav Dutta
Sina Khoshfetrat Pakazad
Henrik Ohlsson
AI4TSAIFin
112
0
0
20 May 2025
Learning to Dissipate Energy in Oscillatory State-Space Models
Learning to Dissipate Energy in Oscillatory State-Space Models
Jared Boyer
T. Konstantin Rusch
Daniela Rus
69
0
0
17 May 2025
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
Patara Trirat
Jae-Gil Lee
94
0
0
15 May 2025
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
Hyowon Wi
Jeongwhan Choi
Noseong Park
82
0
0
13 May 2025
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
Anushiya Arunan
Yan Qin
Xiaoli Li
Yuen Chau
AI4TS
174
0
0
03 May 2025
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
Anh-Duy Pham
Olivier Basole Kashongwe
Martin Atzmueller
Tim Romer
81
0
0
25 Apr 2025
A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention
A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention
Tao Yang
Yu Cheng
Yaokun Ren
Yujia Lou
Minggu Wei
Honghui Xin
AIMatHAI
95
4
0
21 Apr 2025
Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel
Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel
Kexin Wang
Mengna Liu
Xu Cheng
Fan Shi
Shanshan Qi
Shengyong Chen
81
0
0
21 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis
Pets: General Pattern Assisted Architecture For Time Series Analysis
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
199
0
0
19 Apr 2025
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
Maxmilian Forstenhäusler
Daniel Külzer
Christos Anagnostopoulos
Shameem Puthiya Parambath
Natascha Weber
AI4TSMedIm
186
0
0
14 Apr 2025
SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG Recordings
SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG Recordings
Kerui Wu
Ziyue Zhao
Bülent Yener
ViT
98
0
0
01 Apr 2025
Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers
Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers
Sanjay Chakraborty
Fredrik Heintz
AI4TS
46
0
0
31 Mar 2025
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting
Sanjay Chakraborty
Fredrik Heintz
AI4TSAIFin
94
0
0
31 Mar 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Yuanmin Huang
Mi Zhang
Zhaoxiang Wang
Wenxuan Li
Min Yang
AAMLAI4TS
100
1
0
12 Mar 2025
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
Chenghan Li
Mingchen Li
Ruisheng Diao
AI4TS
122
0
0
10 Mar 2025
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification
Yang Mu
Muhammad Shahzad
Xiao Xiang Zhu
AI4TS
104
0
0
07 Mar 2025
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
Haoran Zhang
Yong Liu
Yunzhong Qiu
Haixuan Liu
Zhongyi Pei
Jianmin Wang
Mingsheng Long
AI4TS
70
1
0
28 Feb 2025
Concealed Adversarial attacks on neural networks for sequential data
Concealed Adversarial attacks on neural networks for sequential data
P. Sokerin
Dmitry Anikin
Sofia Krehova
Alexey Zaytsev
AAMLAI4TS
78
0
0
28 Feb 2025
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
Vasilii Feofanov
Songkang Wen
Marius Alonso
Romain Ilbert
Hongbo Guo
Malik Tiomoko
Lujia Pan
Jianfeng Zhang
I. Redko
AI4TSVLM
144
4
0
24 Feb 2025
MONSTER: Monash Scalable Time Series Evaluation Repository
MONSTER: Monash Scalable Time Series Evaluation Repository
Angus Dempster
Navid Mohammadi Foumani
Chang Wei Tan
Lynn Miller
Amish Mishra
Mahsa Salehi
Charlotte Pelletier
Daniel F. Schmidt
G. Webb
AI4TS
72
0
0
24 Feb 2025
Simpler Fast Vision Transformers with a Jumbo CLS Token
Simpler Fast Vision Transformers with a Jumbo CLS Token
A. Fuller
Yousef Yassin
Daniel G. Kyrollos
Evan Shelhamer
James R. Green
208
0
0
20 Feb 2025
Structure-preserving contrastive learning for spatial time series
Structure-preserving contrastive learning for spatial time series
Yiru Jiao
Sander van Cranenburgh
Simeon C. Calvert
H. Lint
AI4TS
168
0
0
10 Feb 2025
A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel
A User's Guide to KSig\texttt{KSig}KSig: GPU-Accelerated Computation of the Signature Kernel
Csaba Tóth
Danilo Jr Dela Cruz
Harald Oberhauser
82
0
0
13 Jan 2025
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
Yunshi Wen
Tengfei Ma
Tsui-Wei Weng
Lam M. Nguyen
A. Julius
AI4TS
88
3
0
08 Jan 2025
VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced
  Self-Attention for Multivariate Time Series Classification
VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classification
Wenjie Xi
Rundong Zuo
Alejandro Alvarez
Jie Zhang
Byron Choi
Jessica Lin
AI4TS
103
0
0
21 Dec 2024
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time
  Series Classification
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
Yudong Han
Haocong Wang
Yupeng Hu
Yongshun Gong
Xuemeng Song
Weili Guan
AI4TS
188
0
0
17 Dec 2024
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
Jiangming Wang
Mingyue Cheng
Qingyang Mao
Qi Liu
F. Xu
Xin Li
LMTDAI4TS
141
0
0
24 Nov 2024
Quantized symbolic time series approximation
Quantized symbolic time series approximation
Erin Carson
Xinye Chen
Cheng Kang
AI4TS
173
0
0
20 Nov 2024
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
Onur Vural
S. M. Hamdi
S. F. Boubrahimi
AI4TS
40
1
0
18 Nov 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
Qiang Wu
Gechang Yao
Zhixi Feng
Shuyuan Yang
AI4TS
63
2
0
07 Nov 2024
M-CELS: Counterfactual Explanation for Multivariate Time Series Data
  Guided by Learned Saliency Maps
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
Peiyu Li
O. Bahri
S. F. Boubrahimi
S. M. Hamdi
AI4TS
67
1
0
04 Nov 2024
FlexTSF: A Universal Forecasting Model for Time Series with Variable
  Regularities
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities
Jingge Xiao
Yile Chen
Gao Cong
Wolfgang Nejdl
Simon Gottschalk
AI4TS
80
0
0
30 Oct 2024
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced
  Time Series Classification
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
Xiaoyu Tao
Tingyue Pan
Mingyue Cheng
Yucong Luo
AI4TS
59
4
0
24 Oct 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen
Gabriel Oliveira
Hossein Sharifi-Noghabi
Tristan Sylvain
AI4TS
54
2
0
21 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
Xiaoming Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
118
18
0
21 Oct 2024
Efficient, Accurate and Stable Gradients for Neural ODEs
Efficient, Accurate and Stable Gradients for Neural ODEs
Sam McCallum
James Foster
115
6
0
15 Oct 2024
StatioCL: Contrastive Learning for Time Series via Non-Stationary and
  Temporal Contrast
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
Yu Wu
Ting Dang
Dimitris Spathis
Hong Jia
Cecilia Mascolo
AI4TS
93
1
0
14 Oct 2024
Generalizable autoregressive modeling of time series through functional
  narratives
Generalizable autoregressive modeling of time series through functional narratives
Ran Liu
Wenrui Ma
Ellen L. Zippi
Hadi Pouransari
Jingyun Xiao
...
Behrooz Mahasseni
Juri Minxha
Erdrin Azemi
Eva L. Dyer
Ali Moin
AI4TS
88
1
0
10 Oct 2024
S7: Selective and Simplified State Space Layers for Sequence Modeling
S7: Selective and Simplified State Space Layers for Sequence Modeling
Taylan Soydan
Nikola Zubić
Nico Messikommer
Siddhartha Mishra
Davide Scaramuzza
94
7
0
04 Oct 2024
12345
Next