Time Series Classification

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Overview

Time series classification maps an ordered sequence of measurements—often with multiple channels, missing observations, or uneven sampling—to a category, such as a disease state, activity, or machine fault. Approaches range from distance-based methods such as dynamic time warping and shapelet or statistical-feature classifiers to convolutional and recurrent networks, Transformers, and state-space models. Self-supervised pretraining and foundation models aim to reduce label needs, while in-context and few-shot methods seek to classify new datasets without task-specific training. A central challenge is balancing accuracy and transfer across datasets with interpretability, robustness to noise and distribution shift, and practical limits on computation and evaluation reliability.

Latest papers

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176 papers19 papers in the last four weeks, up 19% on the four weeks before. 0.1% of all new papers.

  1. Pneuma: A Large-Scale Real-World Time Series Benchmark for Commercial Aircraft Predictive Maintenance

    Oct 27, 2026Jiafeng Lin, Yutian Zhang, Huan Zhang +5Predictive MaintenanceMultivariate Time Series Forecasting

    China Southern Airlines, Guangzhou, China · School of Transportation Science and Engineering, Beihang University, Beijing, China

  2. Evaluating Bayesian deep learning for robust biomedical time-series classification under distribution shift: A sleep scoring case study

    Oct 26, 2026Mads Birch Sørensen, Ulrike Richter, Francois Gastambide +1Distribution Shift RobustnessTime Series Classification

    Technical University of Denmark, Denmark · H. Lundbeck A/S, Denmark

  3. Benchmarking System One Models for Time-Series Decision Making: A Case Study of Jev

    Oct 24, 2026Jianye Wang, Kexin Zhang, Jiayin Xiong +1Time Series ClassificationTime Series Forecasting

    The Hong Kong University of Science and Technology (Guangzhou)

  4. Random Initialization as a Baseline for Time Series Foundation Models

    Oct 22, 2026Pinar Sungu Isiacik, Georgiana IfrimTime-Series Foundation ModelsSelf-Supervised Pre-Training

    University College Dublin, Dublin, Ireland

  5. Turning TS2Vec into a Foundation Model for Time Series Classification

    Oct 20, 2026Vasilii Feofanov, Zhenghan Tai, Andrei Ermakov +1Time Series ClassificationTime-Series Foundation Models

    NL · University of Toronto · Université de Montréal Mila - Quebec AI Institute

  6. Timing-Aware and Interpretable Self-Attention for Event-Based Wearable Task Transition Detection

    Oct 20, 2026Anda Ouyang, Siyuan Chen, Julien EppsTemporal AttentionInterpretable Time-Series Classification

    School of Electrical Engineering and Telecommunications, University of New South Wales, Kensington, NSW 2033, Australia

  7. From Retrieval to Recognition:Knowledge-Enhanced Post-training of Time Series Foundation Models for Classification

    Oct 19, 2026Zhen Liu, Yucheng Wang, Yingpeng Du +5Time Series ClassificationTime-Series Foundation Models

    Nanyang Technological University, Singapore · Institute of Advanced Intelligence and Computing (IAIC), A*STAR, Singapore · AI Center of Excellence for Manufacturing (AIMfg), A*STAR, Singapore +2

  8. RTSM: Adapting Recursive Models to Multivariate Time-Series Classification

    Oct 16, 2026Georg Tenzing, Anna Tegon, Luca Benini +1Time Series ClassificationMultivariate Time Series Classification

    Integrated Systems Laboratory, ETH Zürich, Switzerland

  9. Sparse Federated Echo State Networks for Time-Series Classification via Smooth-L1 Regularization

    Oct 15, 2026Gengcheng Lyu, Manuel Röder, Frank-Michael SchleifSparse Neural NetworksTime Series Classification

    Faculty of Computer Science and Business Information Systems Technical University of Applied Sciences Würzburg-Schweinfurt, Würzburg, Germany

  10. Exploring Interpretability in Deep Learning-Based Forest Classification - Separating Similar Forest Classes using Sentinel-2 Time Series

    Oct 13, 2026Maximilian Kirsch, Christine PreisachInterpretable Time-Series ClassificationTree Species Classification

    Intelligent Systems Research Group (ISRG), Karlsruhe University of Applied Sciences, Germany

  11. Sea-Net: A Small and Inherently Interpretable Neural Network for Time Series Classification

    Oct 13, 2026Ubaid Ur Rehman, Tanmoy MondalInterpretable Time-Series ClassificationTime Series Classification

    FOX Team, Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) University of Lille, CNRS, Centrale Lille, UMR 9189 F-59000 Lille, France

  12. TIGER: Time-Series Classification with In-Context-Learning Gated Ensemble of Representations

    Oct 5, 2026Johann FaouziTime Series ClassificationEnsemble Learning

    Univ Rennes, Ensai, CNRS, CREST - UMR 9194, F-35000 Rennes, France.

  13. The Effect of Missingness-Pattern Mismatch on Method Selection for Time-Series Classification: A Controlled Empirical Study

    Oct 4, 2026Ruiqi Zhao, Zishun Yuan, Zhentao Wang +3Model SelectionTime Series Classification

    The University of Tokyo, Tokyo, Japan · Stony Brook University, SUNY Korea, Incheon, South Korea · Fuyao University of Science and Technology, Fujian, China +3

  14. LogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models

    Oct 4, 2026Felix Oury, Nicolas Calvo Peiro, Reiko J. TanakaIrregular Time-Series ModelingMultivariate Time Series Forecasting

    Department of Computing Imperial College London · Department of Bioengineering Imperial College London

  15. Label-Efficient Time Series Classification at Scale: A Dual-Stream OSSE-LSTM with Counterfactual Attribution

    Oct 2, 2026Nguyen Ho, Bach Tung Tran, Trung Ky Nguyen +3Time Series ClassificationData-Efficient Learning

    Loyola University Maryland, USA · School of Computer Science and Engineering, International University, Vietnam · School of Compute Science and Artificial Intelligence, Wuhan University of Technology, China

  16. TopTimeNet: Topologically-assisted time-series classification model

    Sep 30, 2026Sharareh Sayyad, Sophia BazziTime Series ClassificationClassification

    Department of Mathematics and Statistics, Washington State University, Pullman, Washington 99164-3113, USA · European Molecular Biology Laboratory, EMBL Hamburg, c/o DESY, Building 25A, Notkestraße 85, 22603 Hamburg, Germany

  17. Towards Robust Time Series Learning via Capacity-Centric Modulation

    Sep 30, 2026Siru Zhong, Senzhang Wang, James T. Kwok +1Time Series ClassificationNeural Network Robustness

    Data Science & Analytics Thrust, The Hong Kong University of Science and Technology (GZ), Guangzhou, China · School of Computer Science & Engineering, Central South University, Changsha, China · Dept. of Computer Science & Engineering, The Hong Kong University of Science and Technology, Hong Kong

  18. A Time-Aware Bag-of-Receptive-Fields for Interpretable Irregular Time Series Classification

    Sep 30, 2026Francesco SpinnatoIrregular Time-Series ModelingTime Series Classification

    Department of Computer Science, University of Pisa, Italy · ISTI-CNR, Pisa, Italy

  19. CADENCE: A Confidence-Adaptive Dual-Expert Network for Fast and Accurate Time Series Classification

    Sep 28, 2026Onisa MpaundaTime Series ClassificationEnsemble Learning

  20. Revitalizing Medical Time Series with Vision-Informed Retrieval: A Vision-Language Perspective

    Sep 28, 2026Guoqi Yu, Juncheng Wang, Shujun WangMultivariate Time Series ClassificationTime Series Classification

    Department of Biomedical Engineering and Sports Technology The Hong Kong Polytechnic University

  21. MASCIT: A Mask-Aware State Space Classifier for Naturally Irregular Time Series

    Sep 28, 2026Yoo-Min Jung, Hyeon-Gi Kim, Jonghun ParkIrregular Time-Series ModelingSelective SSMs

    Department of Industrial Engineering Seoul National University, Seoul, Republic of Korea

  22. When 10,000 Windows Are Not 10,000 Tests: Auditing Statistical Confidence in Sliding-Window Time-Series Classification

    Sep 25, 2026Xinze Shi, Litian Zhang, Binrui ShiTime Series ClassificationBenchmark Validity

    Beijing University of Posts and Telecommunications Beijing, China

  23. SwitchPFN: Shared Switching Dynamics for Frozen In-Context Time Series Classification

    Sep 24, 2026Zhenyi Zhu, Jacqueline Pang, Peilin Shen +7Tabular Foundation ModelsTime Series Classification

    The Chinese University of Hong Kong, Hong Kong · Cornell University, USA · Southeast University, China +7

  24. Neuralized Multi-Wavelet Decomposition for Time Series Classification and Forecasting

    Sep 24, 2026Xiaohan Jiang, Jingyuan Wang, Jiahao Ji +3Time Series ClassificationFrequency-Domain Feature Learning

    School of Computer Science and Engineering, Beihang University, Beijing, China · School of Computer Science and Engineering and the School of Economics and Management, Beihang University, Beijing, China · School of Computer Science and Engineering, Beihang University, Beijing, China, and are also with the MOE Engineering Research Center of Advanced Computer Application Technology, Beihang University, China +1

  25. Learnable Time-Frequency Masks for Explaining Time-Series Classifiers

    Sep 24, 2026Theresa Dahl Frehr, Francisco Pelayo, Lukas Raad +3Feature AttributionTime Series Classification

    Department of Applied Mathematics and Computer Science Technical University of Denmark

  26. Edge AI on Constrained Devices for Binary Sleep-Wake Classification in Dynamic Environments

    Sep 24, 2026Stefan Reitmann, Lena OdenTime Series ClassificationWearable Sensing

    Faculty of Computer Science, Chemnitz University of Technology, Chemnitz, Germany · Faculty of Computer Science, University of Hagen, Hagen, Germany

  27. Evaluating the Effectiveness of SechKAN on 1D Data

    Sep 22, 2026Hoang-Thang TaTime Series ClassificationKolmogorov-Arnold Networks

    University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam

  28. ETH-TraceBench: A Large-Scale Event-Stream Benchmark for Ethereum DeFi under Temporal, Protocol, and Contract Shift

    Sep 20, 2026Kemal Kirtac, Carsten MapleDistribution Shift RobustnessBenchmark Auditing

    Department of Computer Science, University College London 66–72 Gower Street, London WC1E 6EA, United Kingdom · Department of Computer Science, University of Warwick Coventry CV4 7AL, United Kingdom · WMG, University of Warwick Coventry CV4 7AL, United Kingdom

  29. Signal-Informed Temporal Routing for Vinyl Defect Regime Detection

    Sep 19, 2026Yi-Hung Kan, Homayoon BeigiFault DetectionAudio Editing

    Nonlinear Control Laboratory, Dept. of Electrical Engineering, Dept. of Mechanical Engineering, Columbia University, New York, NY, USA · Recognition Technologies, Inc., South Salem, NY, USA

  30. Multi-source Transfer Learning of Time Series with a Shapelet-based Distance Measure

    Sep 14, 2026Jiseok Lee, Brian Kenji IwanaTime Series ClassificationTransfer Learning

    Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi Ward, Fukuoka, 819-0395, Fukuoka, Japan · Faculty of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi Ward, Fukuoka, 819-0395, Fukuoka, Japan