Deep learning for time series classification: a review

12 September 2018

Germain Forestier

Papers citing "Deep learning for time series classification: a review"

50 / 560 papers shown

Title
Representation Learning of Limit Order Book: A Comprehensive Study and Benchmarking Muyao Zhong Yushi Lin Peng Yang AI4TS 41 0 0 04 May 2025
On Multivariate Financial Time Series Classification Grégory Bournassenko AI4TS AIFin 46 0 0 24 Apr 2025
Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification Tatsuhito Hasegawa Shunsuke Sakai 33 0 0 22 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu AI4TS 22 0 0 19 Apr 2025
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 24 0 0 17 Apr 2025
Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification Sosei Ikeda H. Awano Takashi Sato 21 2 0 16 Apr 2025
Temporal Dynamic Embedding for Irregularly Sampled Time Series Mincheol Kim Soo-Yong Shin AI4TS 19 0 0 08 Apr 2025
Interval-Valued Time Series Classification Using $D_K$ -Distance Wan Tian Zhongfeng Qin AI4TS 29 1 0 07 Apr 2025
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 21 0 0 05 Apr 2025
Adaptive Classification of Interval-Valued Time Series Wan Tian Zhongfeng Qin AI4TS 29 1 0 04 Apr 2025
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction M. Takamoto Daniel Oñoro-Rubio Wiem Ben-Rim Takashi Maruyama Bhushan Kotnis 24 0 0 04 Apr 2025
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis Wenwei Gu Renyi Zhong Jianping Zhang Michael R. Lyu AAML 30 0 0 25 Mar 2025
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 32 0 0 20 Mar 2025
Temporal Encoding Strategies for Energy Time Series Prediction Aayam Bansal Keertan Balaji Zeus Lalani AI4TS 34 0 0 19 Mar 2025
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 51 0 0 18 Mar 2025
Empirical risk minimization algorithm for multiclass classification of S.D.E. paths Christophe Denis Eddy Ella Mintsa 53 0 0 18 Mar 2025
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 54 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 S. Doyen Sahoo Junnan Li Chenghao Liu AI4TS 40 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 52 0 0 10 Mar 2025
Concealed Adversarial attacks on neural networks for sequential data P. Sokerin Dmitry Anikin Sofia Krehova Alexey Zaytsev AAML AI4TS 38 0 0 28 Feb 2025
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python Romain Edmond Lacoste GP 48 0 0 26 Feb 2025
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation Wenxuan Wang K. Wu Yujian Betterest Li Dan Wang X. Zhang J. Liu AI4TS 58 0 0 24 Feb 2025
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis J. Marco-Blanco Rubén Cuevas AI4TS 33 0 0 24 Feb 2025
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions Gregor Baer Isel Grau Chao Zhang Pieter Van Gorp AAML 41 0 0 24 Feb 2025
Deep Time Warping for Multiple Time Series Alignment Alireza Nourbakhsh Hoda Mohammadzade AI4TS 39 0 0 22 Feb 2025
Swarm Characteristics Classification Using Neural Networks Donald W. Peltier Isaac Kaminer Abram H. Clark Marko Orescanin 36 1 0 20 Feb 2025
Positional Encoding in Transformer-Based Time Series Models: A Survey Habib Irani Vangelis Metsis AI4TS 43 0 0 17 Feb 2025
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection Kevin Garcia Juan Manuel Perez Yifeng Gao AI4TS 37 0 0 14 Feb 2025
Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging R. Weber O. Freifeld AI4TS 56 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 46 0 0 09 Feb 2025
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 84 1 0 06 Feb 2025
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 76 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 31 3 0 28 Jan 2025
Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy Sarwan Ali Tamkanat E. Ali I. Khan Murray Patterson AI4TS 31 0 0 31 Dec 2024
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition Damien Bouchabou S. Nguyen AI4TS 24 0 0 27 Dec 2024
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 68 0 0 17 Dec 2024
Early Concept Drift Detection via Prediction Uncertainty Pengqian Lu Jie Lu Anjin Liu G. Zhang 72 0 0 15 Dec 2024
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Bo Qu Zhurong Wang Minghao Gu Daisuke Yagi Yang Zhao Yinan Shan Frank Zahradnik 74 2 0 29 Nov 2024
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Amirabbas Afzali Hesam Hosseini Mohmmadamin Mirzai Arash Amini AI4TS 59 1 0 25 Nov 2024
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models J. Wang Mingyue Cheng Qingyang Mao Qi Liu F. Xu Xin Li LMTD AI4TS 68 1 0 24 Nov 2024
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification Irina Barašin Blaž Bertalanič M. Mohorčič Carolina Fortuna AI4TS 82 2 0 22 Nov 2024
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data Kai Helli David Schnurr Noah Hollmann Samuel G. Müller Frank Hutter OOD 28 4 0 15 Nov 2024
A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module Siwei Li Jiangwen Chen Hua Lin Wei Wang 57 0 0 13 Nov 2024
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 19 0 0 04 Nov 2024
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning Aosong Feng Rex Ying Leandros Tassiulas 22 2 0 28 Oct 2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation Peiyu Li O. Bahri Pouya Hosseinzadeh S. F. Boubrahimi S. M. Hamdi CML LRM 19 1 0 27 Oct 2024
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification Xiaoyu Tao Tingyue Pan Mingyue Cheng Yucong Luo AI4TS 14 1 0 24 Oct 2024
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars Lorenzo Monti Tatiana Muraveva Gisella Clementini Alessia Garofalo 20 1 0 23 Oct 2024
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast Yu Wu Ting Dang Dimitris Spathis Hong Jia Cecilia Mascolo AI4TS 20 1 0 14 Oct 2024
Learning from the past: predicting critical transitions with machine learning trained on surrogates of historical data Zhiqin Ma Chunhua Zeng Yi-Cheng Zhang Thomas M. Bury AI4CE 15 0 0 13 Oct 2024