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Deep learning for time series classification: a review

Deep learning for time series classification: a review

12 September 2018
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
    AI4TS
    AI4CE
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Papers citing "Deep learning for time series classification: a review"

50 / 563 papers shown
Title
Neural models for prediction of spatially patterned phase transitions: methods and challenges
Neural models for prediction of spatially patterned phase transitions: methods and challenges
D. Dylewsky
Sonia Kéfi
M. Anand
C. Bauch
9
0
0
14 May 2025
Evaluating Simplification Algorithms for Interpretability of Time Series Classification
Evaluating Simplification Algorithms for Interpretability of Time Series Classification
Felix Marti-Perez
Brigt Håvardstun
Cèsar Ferri
Carlos Monserrat
Jan Arne Telle
AI4TS
19
0
0
13 May 2025
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Zhen Liu
Yicheng Luo
Yangqiu Song
Emadeldeen Eldele
Min-man Wu
Qianli Ma
AI4TS
29
0
0
11 May 2025
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking
Muyao Zhong
Yushi Lin
Peng Yang
AI4TS
53
0
0
04 May 2025
On Multivariate Financial Time Series Classification
On Multivariate Financial Time Series Classification
Grégory Bournassenko
AI4TS
AIFin
51
0
0
24 Apr 2025
Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
Tatsuhito Hasegawa
Shunsuke Sakai
38
0
0
22 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
32
0
0
19 Apr 2025
ALT: A Python Package for Lightweight Feature Representation in Time Series Classification
ALT: A Python Package for Lightweight Feature Representation in Time Series Classification
Balázs P. Halmos
Balázs Hajós
Vince Á. Molnár
M. T. Kurbucz
Antal Jakovác
AI4TS
27
0
0
17 Apr 2025
Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification
Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification
Sosei Ikeda
H. Awano
Takashi Sato
36
2
0
16 Apr 2025
Temporal Dynamic Embedding for Irregularly Sampled Time Series
Temporal Dynamic Embedding for Irregularly Sampled Time Series
Mincheol Kim
Soo-Yong Shin
AI4TS
24
0
0
08 Apr 2025
Interval-Valued Time Series Classification Using $D_K$-Distance
Interval-Valued Time Series Classification Using DKD_KDK​-Distance
Wan Tian
Zhongfeng Qin
AI4TS
37
1
0
07 Apr 2025
Foundation Models for Time Series: A Survey
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
Sandeep Chandrashekhara
Garima Jain
Sunayana Hubli
Gayathri Botla
Ramesh Doddaiah
AI4TS
AI4CE
27
0
0
05 Apr 2025
Adaptive Classification of Interval-Valued Time Series
Adaptive Classification of Interval-Valued Time Series
Wan Tian
Zhongfeng Qin
AI4TS
39
1
0
04 Apr 2025
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
M. Takamoto
Daniel Oñoro-Rubio
Wiem Ben-Rim
Takashi Maruyama
Bhushan Kotnis
42
0
0
04 Apr 2025
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
Wenwei Gu
Renyi Zhong
Jianping Zhang
Michael R. Lyu
AAML
38
0
0
25 Mar 2025
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
Zhan Cheng
B. S.
Tianming Sha
Yuan Gao
Shibo Li
Yushun Dong
47
0
0
20 Mar 2025
Temporal Encoding Strategies for Energy Time Series Prediction
Temporal Encoding Strategies for Energy Time Series Prediction
Aayam Bansal
Keertan Balaji
Zeus Lalani
AI4TS
41
0
0
19 Mar 2025
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
Justus Westerhoff
Golzar Atefi
Mario Koddenbrock
Alexei Figueroa
Alexander Loser
Erik Rodner
Felix Alexader Gers
OffRL
56
0
0
18 Mar 2025
Empirical risk minimization algorithm for multiclass classification of S.D.E. paths
Empirical risk minimization algorithm for multiclass classification of S.D.E. paths
Christophe Denis
Eddy Ella Mintsa
61
0
0
18 Mar 2025
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets
Lulu Ban
Tao Zhu
Xiangqing Lu
Qi Qiu
Wenyong Han
Shuangjian Li
L. Chen
Kevin I-Kai Wang
Mingxing Nie
Yaping Wan
61
0
0
16 Mar 2025
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models
Xu Liu
Taha Aksu
Juncheng Liu
Qingsong Wen
Yuxuan Liang
Caiming Xiong
Shri Kiran Srinivasan
Doyen Sahoo
Junnan Li
Chenghao Liu
AI4TS
45
0
0
14 Mar 2025
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks
Cagla Ipek Kocal
Onat Gungor
Aaron Tartz
T. Rosing
Baris Aksanli
AAML
64
0
0
10 Mar 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
AAML
AI4TS
44
0
0
28 Feb 2025
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
Romain Edmond Lacoste
GP
58
0
0
26 Feb 2025
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
Wenxuan Wang
K. Wu
Yujian Betterest Li
Dan Wang
Xiaotian Zhang
Jiaheng Liu
AI4TS
68
0
0
24 Feb 2025
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis
J. Marco-Blanco
Rubén Cuevas
AI4TS
38
0
0
24 Feb 2025
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Gregor Baer
Isel Grau
Chao Zhang
Pieter Van Gorp
AAML
48
0
0
24 Feb 2025
Deep Time Warping for Multiple Time Series Alignment
Deep Time Warping for Multiple Time Series Alignment
Alireza Nourbakhsh
Hoda Mohammadzade
AI4TS
44
0
0
22 Feb 2025
Swarm Characteristics Classification Using Neural Networks
Swarm Characteristics Classification Using Neural Networks
Donald W. Peltier
Isaac Kaminer
Abram H. Clark
Marko Orescanin
40
1
0
20 Feb 2025
Positional Encoding in Transformer-Based Time Series Models: A Survey
Positional Encoding in Transformer-Based Time Series Models: A Survey
Habib Irani
Vangelis Metsis
AI4TS
53
0
0
17 Feb 2025
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Kevin Garcia
Juan Manuel Perez
Yifeng Gao
AI4TS
50
0
0
14 Feb 2025
Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging
R. Weber
O. Freifeld
AI4TS
69
0
0
10 Feb 2025
Investigating Compositional Reasoning in Time Series Foundation Models
Willa Potosnak
Cristian Challu
Mononito Goswami
Kin G. Olivares
Michał Wiliński
Nina Żukowska
Artur Dubrawski
ReLM
AI4TS
LRM
53
0
0
09 Feb 2025
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
Wei Fan
Jingru Fei
Dingyu Guo
Kun Yi
Xiaozhuang Song
Haolong Xiang
Hangting Ye
Min Li
AI4TS
93
1
0
06 Feb 2025
On the importance of structural identifiability for machine learning with partially observed dynamical systems
On the importance of structural identifiability for machine learning with partially observed dynamical systems
Janis Norden
Elisa Oostwal
Michael Chappell
Peter Tiño
K. Bunte
CML
OOD
81
0
0
06 Feb 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
Qisen Cheng
Jinming Xing
Chang Xue
Xiaoran Yang
AI4TS
33
3
0
28 Jan 2025
Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy
Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy
Sarwan Ali
Tamkanat E. Ali
I. Khan
Murray Patterson
AI4TS
42
0
0
31 Dec 2024
Generative Pretrained Embedding and Hierarchical Irregular Time Series
  Representation for Daily Living Activity Recognition
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition
Damien Bouchabou
S. Nguyen
AI4TS
32
0
0
27 Dec 2024
Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph
  Convolution Network for sEEG SOZ Identification
Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification
Huachao Yan
K. Guo
Shiwei Song
Yihai Dai
Xiaoqiang Wei
Xiaofen Xing
Xiangmin Xu
76
0
0
17 Dec 2024
Early Concept Drift Detection via Prediction Uncertainty
Early Concept Drift Detection via Prediction Uncertainty
Pengqian Lu
Jie Lu
Anjin Liu
G. Zhang
79
0
0
15 Dec 2024
Multi-task CNN Behavioral Embedding Model For Transaction Fraud
  Detection
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection
Bo Qu
Zhurong Wang
Minghao Gu
Daisuke Yagi
Yang Zhao
Yinan Shan
Frank Zahradnik
85
2
0
29 Nov 2024
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph
  Autoencoder Framework
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
Amirabbas Afzali
Hesam Hosseini
Mohmmadamin Mirzai
Arash Amini
AI4TS
67
1
0
25 Nov 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
Yufei Guo
Mingyue Cheng
Qingyang Mao
Qi Liu
F. Xu
Xin Li
LMTD
AI4TS
81
1
0
24 Nov 2024
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification
Irina Barašin
Blaž Bertalanič
M. Mohorčič
Carolina Fortuna
AI4TS
136
2
0
22 Nov 2024
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts
  on Tabular Data
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
Kai Helli
David Schnurr
Noah Hollmann
Samuel G. Müller
Frank Hutter
OOD
36
4
0
15 Nov 2024
A Composite Fault Diagnosis Model for NPPs Based on
  Bayesian-EfficientNet Module
A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module
Siwei Li
Jiangwen Chen
Hua Lin
Wei Wang
62
0
0
13 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
31
1
0
04 Nov 2024
Long Sequence Modeling with Attention Tensorization: From Sequence to
  Tensor Learning
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
Aosong Feng
Rex Ying
Leandros Tassiulas
27
2
0
28 Oct 2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
Peiyu Li
O. Bahri
Pouya Hosseinzadeh
S. F. Boubrahimi
S. M. Hamdi
CML
LRM
32
1
0
27 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
26
1
0
24 Oct 2024
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