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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"

50 / 234 papers shown
Title
Oscillatory State-Space Models
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Daniela Rus
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EBES: Easy Benchmarking for Event Sequences
EBES: Easy Benchmarking for Event Sequences
Dmitry Osin
Igor Udovichenko
Viktor Moskvoretskii
Egor Shvetsov
Evgeny Burnaev
202
2
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04 Oct 2024
A Survey of Spatio-Temporal EEG data Analysis: from Models to
  Applications
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
Pengfei Wang
Huanran Zheng
Silong Dai
Yiqiao Wang
Xiaotian Gu
Yuanbin Wu
Xiaoling Wang
SyDaAI4TS
162
4
0
26 Sep 2024
User-friendly Foundation Model Adapters for Multivariate Time Series
  Classification
User-friendly Foundation Model Adapters for Multivariate Time Series Classification
Vasilii Feofanov
Romain Ilbert
Malik Tiomoko
Themis Palpanas
I. Redko
AI4TS
62
0
0
18 Sep 2024
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate
  Time Series Classification
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification
Jesus Barreda
Ashley Gomez
Ruben Puga
Kaixiong Zhou
Li Zhang
AI4TS
61
0
0
15 Sep 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
64
0
0
22 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
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
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
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31 Jul 2024
Aircraft Trajectory Segmentation-based Contrastive Coding: A Framework
  for Self-supervised Trajectory Representation
Aircraft Trajectory Segmentation-based Contrastive Coding: A Framework for Self-supervised Trajectory Representation
Thaweerath Phisannupawong
J. J. Damanik
Han-Lim Choi
AI4TSSSL
71
2
0
29 Jul 2024
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing
  Conditional Mutual Information
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
Fedor Sergeev
Paola Malsot
Gunnar Rätsch
Vincent Fortuin
AI4TS
88
0
0
18 Jul 2024
Omni-Dimensional Frequency Learner for General Time Series Analysis
Omni-Dimensional Frequency Learner for General Time Series Analysis
Xianing Chen
Hanting Chen
Hailin Hu
AI4TS
75
0
0
15 Jul 2024
Parameter inference from a non-stationary unknown process
Parameter inference from a non-stationary unknown process
Kieran S. Owens
Ben D. Fulcher
AI4TS
71
1
0
12 Jul 2024
LETS-C: Leveraging Text Embedding for Time Series Classification
LETS-C: Leveraging Text Embedding for Time Series Classification
Rachneet Kaur
Zhen Zeng
T. Balch
Manuela Veloso
AI4TS
100
0
0
09 Jul 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
A Primal-Dual Framework for Transformers and Neural Networks
A Primal-Dual Framework for Transformers and Neural Networks
Tan M. Nguyen
Tam Nguyen
Nhat Ho
Andrea L. Bertozzi
Richard G. Baraniuk
Stanley J. Osher
ViT
73
14
0
19 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
72
1
0
10 Jun 2024
Chimera: Effectively Modeling Multivariate Time Series with
  2-Dimensional State Space Models
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
Ali Behrouz
Michele Santacatterina
Ramin Zabih
MambaAI4TS
92
5
0
06 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md Atik Ahamed
Qiang Cheng
Mamba
129
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06 Jun 2024
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
Fernando Moreno-Pino
Alvaro Arroyo
H. Waldon
Xiaowen Dong
Álvaro Cartea
AI4TS
113
1
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31 May 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
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0
24 May 2024
ShapeFormer: Shapelet Transformer for Multivariate Time Series
  Classification
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification
Xuan-May Le
Ling Luo
Uwe Aickelin
Minh-Tuan Tran
62
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Attention as an RNN
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Frederick Tung
Hossein Hajimirsadeghi
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Yoshua Bengio
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GNNAI4TS
102
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22 May 2024
UniCL: A Universal Contrastive Learning Framework for Large Time Series
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UniCL: A Universal Contrastive Learning Framework for Large Time Series Models
Jiawei Li
Jingshu Peng
Haoyang Li
Lei Chen
AI4TS
97
3
0
17 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
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13 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
103
29
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03 May 2024
AdaFSNet: Time Series Classification Based on Convolutional Network with
  a Adaptive and Effective Kernel Size Configuration
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration
Haoxiao Wang
Bo Peng
Jianhua Zhang
Xu Cheng
AI4TS
83
1
0
28 Apr 2024
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for
  Explorable Time Series Analysis
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
Zhiyu Liang
Cheng Liang
Zheng Liang
Hongzhi Wang
Bo Zheng
71
1
0
07 Apr 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
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14 Mar 2024
Caformer: Rethinking Time Series Analysis from Causal Perspective
Caformer: Rethinking Time Series Analysis from Causal Perspective
Kexuan Zhang
Xiaobei Zou
Yang Tang
AI4TS
59
2
0
13 Mar 2024
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for
  Multivariate Time Series Analysis
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
Mingyue Cheng
Jiqian Yang
Tingyue Pan
Qi Liu
Zhi Li
AI4TS
78
16
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UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
122
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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
164
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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
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ContiFormer: Continuous-Time Transformer for Irregular Time Series
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ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
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Yuchen Fang
Weiwei Sun
Dongsheng Li
AI4TS
130
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Multi-Patch Prediction: Adapting LLMs for Time Series Representation
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Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning
Hao Wang
Xu Ju
Jiangtong Li
Zhijian Xu
Dawei Cheng
Qiang Xu
AI4TSKELM
92
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Rank Supervised Contrastive Learning for Time Series Classification
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Qianying Ren
Dongsheng Luo
Dongjin Song
AI4TS
62
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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
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TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation
  Prediction with Noisy Physiological Data
TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data
Niqi Liu
Fang Liu
Wenqi Ji
Xinxin Du
Xu Liu
Guozhen Zhao
Wenting Mu
Yong Liu
30
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RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series
  Tasks
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
Haowen Hou
F. Richard Yu
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85
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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
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
ChemTime: Rapid and Early Classification for Multivariate Time Series
  Classification of Chemical Sensors
ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors
Alexander M. Moore
Randy C. Paffenroth
Ken T. Ngo
J. Uzarski
AI4TS
31
1
0
15 Dec 2023
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
Cheng Liang
Donghua Yang
Zhiyu Liang
Hongzhi Wang
Zheng Liang
Xiyang Zhang
Jianfeng Huang
AI4TS
467
2
0
09 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
107
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0
07 Dec 2023
A Bag of Receptive Fields for Time Series Extrinsic Predictions
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Francesco Spinnato
Riccardo Guidotti
A. Monreale
M. Nanni
AI4TS
33
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One Fits All: Universal Time Series Analysis by Pretrained LM and
  Specially Designed Adaptors
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Tian Zhou
Peisong Niu
Xue Wang
Liang Sun
Rong Jin
AI4TS
105
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FRUITS: Feature Extraction Using Iterated Sums for Time Series
  Classification
FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification
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Richard Krieg
AI4TS
53
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Large Pre-trained time series models for cross-domain Time series
  analysis tasks
Large Pre-trained time series models for cross-domain Time series analysis tasks
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B. A. Prakash
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Self-Distilled Representation Learning for Time Series
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Konstantin Ditschuneit
Martin Genzel
Alexandra Lindt
Johannes Otterbach
AI4TS
72
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