Multivariate Time Series Classification

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Overview

The field studies how to assign labels to multichannel sequences, including activity recordings, medical signals, and industrial sensor data. Approaches range from statistical and frequency-domain features, shapelet and random-kernel methods such as ROCKET, to convolutional networks, transformers, state-space models, and graph-based methods that capture channel interactions. Researchers compare methods on archives such as UEA and UCR, while also addressing irregular sampling, missing values, few-shot learning, and interpretability. A central tension is whether complex models improve on efficient feature-based methods, and whether benchmark gains hold under shifts between subjects, sites, or deployment conditions and under statistically sound evaluation.

Latest papers

CardsList

38 papers4 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. TRACE: Memory-Efficient Time Series Class-Incremental Learning via Temporal-Spectral Reconstruction

    Oct 26, 2026Junhui Mao, Junru Zhang, Liming Ye +7Class-Incremental LearningStorage-Efficient Continual Learning

    Zhejiang University, Hangzhou, China · Nanyang Technological University, Singapore · Ant Group, China

  2. 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

  3. 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

  4. Class-Conditional Conformal Prediction for Signal Temporal Logic Inference with Many Classes

    Oct 9, 2026Yixuan Wang, Danyang Li, Matthew Cleaveland +2Signal Temporal LogicMultivariate Time Series Classification

    Mechanical Engineering, University of California, Riverside, CA 92521, USA · Mechanical Engineering, Boston University · MIT Lincoln Laboratory, Lexington, MA 02421, USA

  5. 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

  6. 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

  7. Diagnosing Temporal Misalignment in Multichannel Time-Series Classification with Minimum Description Length

    Sep 13, 2026Sebastian Buschjäger, Michael Frichert, Daniel Kuhse +1Multivariate Time Series Classification

    Lamarr Institute, TU Dortmund University, Germany · Cyber-Physical Systems, RWTH Aachen, Germany

  8. Improving Multivariate Time Series Classification with Class-Wise Training and Model Aggregation

    Sep 7, 2026Mouhamadou Mansour Lo, Gildas Morvan, Mathieu Rossi +2Multivariate Time Series ClassificationFeature Selection

    Univ. Artois, UR 4025, LSEE, F-62400 Béthune, France · Univ. Artois, UR 3926, LGI2A, F-62400 Béthune, France

  9. Long Horizon Transformer Quantile Fault Prediction for Multi Site Industrial Predictive Maintenance

    Sep 4, 2026David J Poland, Daniele Ravi, Na HelianQuantile RegressionMultivariate Time Series Classification

    Department of Computer Science, University of Hertfordshire, Hatfield AL10 9AB, U.K.

  10. Frequency Selective Neural Networks as a Foundation Architecture for Time Series Learning

    Aug 29, 2026Hui Huang, Ye Sun, Shiyan HuFrequency-Domain Feature LearningMultivariate Time Series Classification

    Department of Data and Systems Engineering, University of Hong Kong

  11. ALPHABET: A Laplace-Pole History Aggregator with Banked Exponential Transport

    Aug 25, 2026Daehwa Ko, JaeHyeon Kim, Oh Seong Kwon +1Time Series Representation LearningMultivariate Time Series Classification

    Department of Artificial Intelligence, Korea Aerospace University, Goyang, Republic of Korea

  12. ChorusTIC: Training-Free Multivariate Time Series Classification via Chorus In-Context Learning

    Aug 25, 2026Juntao Fang, Shifeng Xie, Ruichu Cai +6Multivariate Time Series ClassificationTime Series Classification

    Guangdong University of Technology · Huawei Noah’s Ark Lab · Université Paris Cité +2

  13. Multi-Class Electrical and Mechanical Fault Classification Using Random Convolutional Kernels

    Aug 19, 2026Mouhamadou Mansour Lo, Mouad Talbaoui, Gildas Morvan +3Fault DiagnosisIndustrial Fault Diagnosis

    UR 4025, LSEE University of Artois F-62400 B´ethune, France · UR 3926, LGI2A University of Artois F-62400 B´ethune, France

  14. FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification

    Aug 8, 2026Pingping Liu, Muyao Wang, Zijian Zhang +5Multivariate Time Series ClassificationTime Series Classification

    1Jilin University · 2Hong Kong Polytechnic University · 3Pengcheng Laboratory +1

  15. Quantum Dynamic Time Warping for Multivariate Time Series Classification

    Jun 26, 2026Diego Alvarez-Estevez, Alejandro Mayorga-Redondo, Eduardo Mosqueira-ReyDynamic Time WarpingMultivariate Time Series Classification

    CITIC Research Center · Universidade da Coruña · A Coruña, 15071, Spain

  16. A Causal DAG Prior for Synthetic Time-Series Classification Datasets

    Jun 19, 2026Franco Martino O'Rourke, Ana Trisovic, Dimitris BertsimasStructural Causal ModelsMultivariate Time Series Classification

    Massachusetts Institute of Technology, Cambridge, MA, USA.

  17. A Stationarity-and-Coupling Criterion for Training-Free Time-Lagged Spectral Embeddings of Multivariate Time Series

    Jun 11, 2026Siddharth Pal, Viktoria RojkovaMultivariate Time Series ClassificationTime Series Classification

  18. AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE

    Jun 2, 2026Tao Xie, Zexi Tan, Haoyi Xiao +5Explainable Time Series ForecastingMultivariate Time Series Classification

    Guangdong University of Technology · Guangzhou, China · Shenzhen University +7

  19. Combining Statistical Features and Deep Encodings for Rehearsal-Based Class-Incremental Time Series Classification

    Jun 2, 2026Pablo García-Santaclara, Bruno Fernández-Castro, Rebeca Pilar Díaz-RedondoClass-Incremental LearningMultivariate Time Series Classification

    atlanTTic – ICLAB, Universidade de Vigo, Vigo 36310, Spain · Centro Tecnolóxico de Telecomunicacións de Galicia (GRADIANT), Vigo 36214, Spain

  20. MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification

    May 24, 2026Da Zhang, Bingyu Li, Zhiyuan Zhao +3Graph Structure LearningSelective SSMs

    Northwest Polytechnical University · TeleAI, China Telecom · TeleAI +1

  21. Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series

    May 21, 2026Xianhao Song, Yuang Zhang, Yuqi She +2Prototype-Based ClassificationMultivariate Time Series Classification

    East China Normal University · Shanghai Jiao Tong University

  22. CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification

    May 21, 2026Fan Zhang, Yating Cui, Hua WangMultivariate Time Series ClassificationTime Series Classification

    Shandong Technology and Business University · Ludong University

  23. One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification

    May 11, 2026Mengzhou Gao, Kaiwei Wang, Pengfei JiaoIrregular Time-Series ModelingGraph Structure Learning

    School of Cyberspace, Hangzhou Dianzi University.

  24. Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning

    May 10, 2026Lin Li, Jiawei Huang, Qihao Quan +7Multivariate Time Series ClassificationTime Series Classification

    Sun Yat-sen University Zhuhai, Guangdong, China · Xiaomi Corporation Beijing, China · University of Science and Technology of China Hefei, Anhui, China +1

  25. A Simple State Space Model Excels at Multivariate Time Series Classification

    May 7, 2026Hassan Saadatmand, Geoffrey I. Webb, Hamid Rezatofighi +1Selective SSMsMultivariate Time Series Classification

    Monash University, Melbourne, Victoria, Australia

  26. Univariate Channel Fusion for Multivariate Time Series Classification

    Apr 17, 2026Fernando Moro, Vinicius M. A. SouzaMultivariate Time Series ClassificationTime Series Classification

    Pontifícia Universidade Católica do Paraná (PUCPR), Brazil · Graduate Program in Informatics (PPGIa), Brazil

  27. Classification of Epileptic iEEG using Topological Machine Learning

    Apr 13, 2026Sunia Tanweer, Narayan Puthanmadam Subramaniyam, Firas A. KhasawnehEEG Seizure DetectionTopological Data Analysis

    Department of Mechanical Engineering, Michigan State University, East Lansing, 48823, MI, USA. · Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, 48823, MI, USA. · Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. +1

  28. DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series Classification

    Apr 12, 2026Jian Chen, Yuzhu Hu, Xiaoyan Yuan +6Irregular Time-Series ModelingMultivariate Time Series Classification

    Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China · Shenzhen MSU-BIT University, China · Department of Data Science, City University of Hong Kong, China +1

  29. ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification

    Apr 9, 2026Paul Quinlan, Qingguo Li, Xiaodan ZhuTime Series Representation LearningTime-Series Foundation Models

    Electrical and Computer Engineering, Queen’s University · Ingenuity Labs Research Institute, Queen’s University · Mechanical and Materials Engineering, Queen’s University

  30. Time-Series Classification with Multivariate Statistical Dependence Features

    Apr 8, 2026Yao Sun, Bo Hu, Jose PrincipeMultivariate Time Series ClassificationDensity Ratio Estimation

    Department of Electrical and Computer Engineering, University of Florida, Gainesville, USA