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2005.02595
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Approaches and Applications of Early Classification of Time Series: A Review
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
6 May 2020
Ashish Gupta
Hari Prabhat Gupta
Bhaskar Biswas
Tanima Dutta
AI4TS
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Papers citing
"Approaches and Applications of Early Classification of Time Series: A Review"
31 / 31 papers shown
TURBOTEST: Learning When Less is Enough through Early Termination of Internet Speed Tests
Haarika Manda
Manshi Sagar
Yogesh
Kartikay Singh
Cindy Zhao
Tarun Mangla
Phillipa Gill
Elizabeth Belding
Arpit Gupta
86
0
0
24 Oct 2025
DE3S: Dual-Enhanced Soft-Sparse-Shape Learning for Medical Early Time-Series Classification
Tao Xie
Zexi Tan
Haoyi Xiao
Binbin Sun
Yiqun Zhang
AI4TS
217
1
0
14 Oct 2025
ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
Xin Wu
Fei Teng
Ji Zhang
Xingwang Li
Yuxuan Liang
OODD
377
0
0
19 Aug 2025
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
AI4TS
LRM
258
5
0
01 Jun 2025
CRITS: Convolutional Rectifier for Interpretable Time Series Classification
Alejandro Kuratomi
Zed Lee
Guilherme Dinis Chaliane Junior
Tony Lindgren
Diego García Pérez
AI4TS
FAtt
190
0
0
24 May 2025
Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Lo Pang-Yun Ting
Hong-Pei Chen
An-Shan Liu
Chun-Yin Yeh
Po-Lin Chen
Kun-Ta Chuang
293
1
0
02 May 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
The Web Conference (WWW), 2025
Yuanmin Huang
Mi Zhang
Zhaoxiang Wang
Wenxuan Li
Min Yang
AAML
AI4TS
519
5
0
12 Mar 2025
Anomaly Detection in Smart Power Grids with Graph-Regularized MS-SVDD: a Multimodal Subspace Learning Approach
Thomas Debelle
Fahad Sohrab
Pekka Abrahamsson
Moncef Gabbouj
247
0
0
18 Feb 2025
CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration
Lo Pang-Yun Ting
Zhen Tan
Hong-Pei Chen
Cheng-Te Li
Po-Lin Chen
Kun-Ta Chuang
Huan Liu
342
1
0
22 Jan 2025
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
OODD
389
4
0
20 Dec 2024
Higher-order Cross-structural Embedding Model for Time Series Analysis
Guancen Lin
Cong Shen
Aijing Lin
AI4TS
250
1
0
30 Oct 2024
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making
Aurélien Renault
Youssef Achenchabe
Édouard Bertrand
A. Bondu
Antoine Cornuéjols
Vincent Lemaire
A. Dachraoui
AI4TS
251
1
0
23 Aug 2024
Representation Learning of Tangled Key-Value Sequence Data for Early Classification
Tao Duan
Junzhou Zhao
Shuo Zhang
Jing Tao
Pinghui Wang
249
0
0
11 Apr 2024
Graph Generation Powered with LLMs for Boosting Multivariate Time-Series Representation Learning
Yucheng Wang
Ruibing Jin
Ruibing Jin
Xiaoli Li
Lihua Xie
Zhenghua Chen
AI4TS
295
5
0
06 Mar 2024
Early Time Classification with Accumulated Accuracy Gap Control
Liran Ringel
Regev Cohen
Daniel Freedman
Michael Elad
Yaniv Romano
263
8
0
01 Feb 2024
Curricular and Cyclical Loss for Time Series Learning Strategy
Chenxi Sun
Hongyan Li
Moxian Song
D. Cai
linda Qiao
206
1
0
26 Dec 2023
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
135
1
0
15 Dec 2023
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yucheng Wang
Yuecong Xu
Jianfei Yang
Ruibing Jin
Xiaoli Li
Lihua Xie
Zhenghua Chen
AI4TS
264
122
0
11 Sep 2023
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng
Hangwei Qian
Yong Liu
Yonghui Xu
Zhiqi Shen
Li-zhen Cui
AI4TS
280
31
0
03 Aug 2023
Forecasting Early with Meta Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Shayan Jawed
Kiran Madhusudhanan
Vijaya Krishna Yalavarthi
Lars Schmidt-Thieme
AI4TS
358
1
0
19 Jul 2023
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring
Information Systems (Inf. Syst.), 2023
Andreas Metzger
Tristan Kley
Aristide Rothweiler
Klaus Pohl
254
9
0
12 Jul 2023
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Akinori F. Ebihara
Taiki Miyagawa
K. Sakurai
Terumi Umematsu
177
3
0
20 Feb 2023
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks
Patterns (Patterns), 2022
Chenxi Sun
Hongyan Li
Moxian Song
D. Cai
B. Zhang
linda Qiao
192
11
0
06 Oct 2022
Stop&Hop: Early Classification of Irregular Time Series
International Conference on Information and Knowledge Management (CIKM), 2022
Thomas Hartvigsen
Walter Gerych
Jidapa Thadajarassiri
Xiangnan Kong
Elke A. Rundensteiner
AI4TS
272
14
0
21 Aug 2022
Confidence-Guided Learning Process for Continuous Classification of Time Series
International Conference on Information and Knowledge Management (CIKM), 2022
Chenxi Sun
Moxian Song
D. Cai
B. Zhang
linda Qiao
Hongyan Li
250
6
0
14 Aug 2022
Open challenges for Machine Learning based Early Decision-Making research
SIGKDD Explorations (SIGKDD Explor.), 2022
A. Bondu
Youssef Achenchabe
Nikolaos Perrakis
Fabrice Clérot
Antoine Cornuéjols
João Gama
Georges Hébrail
V. Lemaire
P. Marteau
AI4CE
207
12
0
27 Apr 2022
When to Classify Events in Open Times Series?
Asian Conference on Machine Learning (ACML), 2022
Youssef Achenchabe
A. Bondu
Antoine Cornuéjols
V. Lemaire
AI4TS
225
1
0
01 Apr 2022
Early Time-Series Classification Algorithms: An Empirical Comparison
C. Akasiadis
E. Kladis
Evangelos Michelioudakis
E. Alevizos
A. Artikis
AI4TS
112
4
0
03 Mar 2022
Unsupervised detection and open-set classification of fast-ramped flexibility activation events
Applied Energy (Appl. Energy), 2021
Nils Müller
C. Heinrich
K. Heussen
H. Bindner
AI4CE
405
3
0
03 Nov 2021
An empirical study of neural networks for trend detection in time series
SN Computer Science (SN Comp. Sci.), 2019
Alexandre Miot
Gilles Drigout
AI4TS
253
4
0
09 Dec 2019
End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping
Isprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2019
M. Rußwurm
Nicolas Courty
Rémi Emonet
Sébastien Lefèvre
D. Tuia
R. Tavenard
AI4TS
265
86
0
30 Jan 2019
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