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. Interpretable Classification of Time Series Using Euler Characteristic Surfaces

    Mar 16, 2026Salam Rabindrajit Luwang, Sushovan Majhi, Vishal Mandal +3Interpretable Time-Series ClassificationTime Series Classification

    National Institute of Technology, Department of Physics, Ravangla, 737139, India · George Washington University, Data science program, Washington, DC, 20052, USA · Montana Technological University, Department of Mathematical Sciences, Butte, 59701, USA

  2. MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification

    Mar 14, 2026Celal Alagöz, Mehmet Kurnaz, Farhan AadilTime Series ClassificationMultiscale Time-Series Modeling

    Computer Engineering, Sivas Bilim ve Teknoloji Üniversitesi, Sivas, Türkiye

  3. L2GTX: From Local to Global Time Series Explanations

    Mar 13, 2026Ephrem Tibebe Mekonnen, Luca Longo, Lucas Rizzo +1Explainable Artificial IntelligenceInterpretable Time-Series Classification

    School of Computer Science, Technological University Dublin Dublin, Ireland · Artificial Intelligence and Cognitive Load Research Lab, University College Cork Cork, Ireland · School of Computer Science and Information Technology, University College Cork Cork, Ireland +1

  4. Towards plausibility in time series counterfactual explanations

    Mar 9, 2026Marcin Kostrzewa, Krzysztof Galus, Maciej ZiębaGraph Counterfactual ExplanationsCounterfactual Explanations

    Wrocław University of Science and Technology, Wrocław 50-347, Poland · Tooploox, Wrocław 53-601, Poland

  5. UTICA: Multi-Objective Self-Distllation Foundation Model Pretraining for Time Series Classification

    Mar 2, 2026Yessin Moakher, Youssef Attia El Hili, Vasilii FeofanovSelf-Supervised Time Series Representation LearningTime-Series Foundation Models

    Ecole Polytechnique, France · Huawei Noah’s Ark Lab

  6. MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies

    Feb 19, 2026Vasilii Feofanov, Songkang Wen, Jianfeng Zhang +2Time Series ClassificationTime-Series Foundation Models

    Huawei Noah’s Ark Lab

  7. Be Wary of Your Time Series Preprocessing

    Feb 19, 2026Sofiane Ennadir, Tianze Wang, Oleg Smirnov +2Time Series Representation LearningTime Series Transformers

    King AI Labs, Microsoft Gaming · Kreditz AB

  8. Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification

    Feb 18, 2026Xu Zhang, Peng Wang, Yichen Li +1Instance ReweightingTime Series Forecasting

    Shanghai Key Laboratory of Data Science, College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China · Department of Electrical and Computer Engineering, University of British Columbia (UBC), Vancouver, Canada

  9. A Few-Shot LLM Framework for Extreme Day Classification in Electricity Markets

    Feb 17, 2026Saud Alghumayjan, Ming Yi, Bolun XuTime Series ClassificationFew-Shot Learning

    Dept. of Earth and Environmental Engineering, Columbia University, New York, NY 10027, USA

  10. Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference

    Jan 31, 2026Juntao Fang, Shifeng Xie, Shengbin Nie +7Time Series ClassificationIn-Context Learning

    Guangdong University of Technology, Guangzhou, China · Huawei Noah’s Ark Lab, Paris, France · Paris Descartes University, Paris, France +2

  11. Minimum distance classification for nonlinear dynamical systems

    Jan 7, 2026Dominique MartinezDynamical SystemsTime Series Classification

    Aix-Marseille University, CNRS, ISM, 13009 Marseille, France

  12. FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification

    Nov 13, 2025YongKyung Oh, Dong-Young Lim, Sungil KimIrregular Time-Series ModelingTime Series Classification

    Medical & Imaging Informatics (MII) Group, University of California, Los Angeles (UCLA), CA, USA · Department of Industrial Engineering, Ulsan National Institute of Science and Technology (UNIST), Republic of Korea · Artificial Intelligence Graduate School, Ulsan National Institute of Science and Technology (UNIST), Republic of Korea

  13. BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification

    Sep 29, 2025Jingtao Zhang, Yi Liu, Qi Shen +1Efficient Neural Network InferenceTransformer

    School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University · College of Medicine and Biological Information Engineering, Northeastern University

  14. MAGIC: Multi-task Gaussian process for joint imputation and classification in healthcare time series

    Sep 23, 2025Dohyun Ku, Catherine D. Chong, Visar Berisha +2Time Series ImputationTime Series Classification

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, GA, USA · Department of Neurology, Mayo Clinic Arizona, AZ, USA · College of Health Solutions and School of Electrical Computer and Energy Engineering, Arizona State University, AZ, USA

  15. TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification

    Aug 24, 2025YongKyung Oh, Dong-Young Lim, Sungil Kim +1Time Series ClassificationNeural ODEs

    University of California, Los Angeles, Los Angeles, CA, USA · Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea

  16. Learning Interpretable Differentiable Logic Networks for Time-Series Classification

    Aug 24, 2025Chang Yue, Niraj K. JhaTime Series ClassificationInterpretable ML

    Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544, USA

  17. Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution

    Aug 6, 2025Zahra Mohammadi, Parnian Fazel, Siamak MohammadiSleep Stage ClassificationEnergy-Efficient ML

    School of Electrical and Computer Engineering, University of Tehran.

  18. Multi-Class Human/Object Detection on Robot Manipulators using Proprioceptive Sensing

    Aug 4, 2025Justin Hehli, Marco Heiniger, Maryam Rezayati +1Time Series ClassificationHuman-Robot Collaboration

    Dep. of Informatics, University of Zurich, and MINDLab, Institute of Mechatronic Systems, ZHAW, Switzerland · Institute of Mechatronics system, ZHAW, Switzerland

  19. T3ST^{3}S: Think in Thermal Time for Generalizable Crop Mapping from Satellite Image Time Series

    Jun 15, 2025Mehmet Ozgur Turkoglu, Selene Ledain, Jeffrey Zweidler +2Agricultural Image AnalysisAgricultural Remote Sensing

    Earth Observation of Agroecosystems Team, Agroscope, Switzerland · ETH Zurich, Switzerland

  20. Unlocking Pretrained Vision Transformers for Time Series Classification

    Jun 10, 2025Simon Roschmann, Quentin Bouniot, Vasilii Feofanov +2Time Series ClassificationVision Transformer

    Helmholtz Munich · Technical University of Munich · Munich Center for Machine Learning +2

  21. FANTF: Fuzzy attention network based transformers for time series analysis

    Mar 31, 2025Sanjay Chakraborty, Fredrik HeintzTime Series TransformersTime Series Forecasting

    Department of Computer and Information Science (IDA), REAL, AIICS, Linköping University, Linköping, Sweden

  22. Foreclassing: From Forecasts to Decisions

    Mar 6, 2025Daniel Andrew Coulson, Martin T. WellsTime Series ClassificationTime Series Forecasting

    Department of Statistics and Data Science, Cornell University

  23. A Mechanistic Interpretation of Prescribed-Parameter Convolutional Kernels

    Feb 24, 2025Jorge Marco Blanco, Rubén Cuevas RumínTime Series ClassificationKernel Methods

    Universidad Carlos III de Madrid, Spain · UC3M-Santander Big Data Institute, Spain

  24. Mantis: Lightweight Foundation Model for Time Series Classification

    Feb 21, 2025Vasilii Feofanov, Songkang Wen, Shifeng Xie +10Time Series ClassificationSelf-Supervised Time Series Representation Learning

    1. Huawei Noah’s Ark Lab · 3. Paris Cit´e University · 4. Helmholtz Munich +3

  25. Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training

    Apr 10, 2024Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi +3Time Series ClassificationCross-Subject EEG Decoding

    Institute for Computer Science, University of Hildesheim, Hildesheim, German

  26. Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields

    Nov 29, 2023Francesco Spinnato, Riccardo Guidotti, Anna Monreale +1Time Series ClassificationInterpretable ML

    Scuola Normale Superiore, Pisa, Italy · University of Pisa, Pisa, Italy · ISTI-CNR, Pisa, Italy