Time Series Classification

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15 papers in the last four weeks, up 114% on the four weeks before. 0.1% of all new papers.

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  1. A spectral audit framework reveals task-dependent aperiodic reliance across EEG and ECG deep learning

    Jun 7, 2026Jasmeet Singh Bindra, Siddharth PanwarElectroencephalographyTime Series Classification

    Indian Knowledge Systems and Mental Health Applications (IKSMHA) Center, Indian Institute of Technology Mandi, Himachal Pradesh, India. · School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Himachal Pradesh, India.

  2. SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal

    Jun 5, 2026Rafsan Jany, Md. Hamjajul Ashmafee, Iqram Hussain +1Sleep Stage ClassificationTime Series Classification

    Islamic University of Technology · Seoul National University

  3. CF-JEPA: Mask-free forward prediction with asymmetric encoder utilization for time-series representation learning

    Jun 5, 2026Jaehoon Lee, Sunghyun SimMultivariate Time Series ForecastingTime Series Classification

    aGraduate School of Artificial Intelligence Convergence Engineering, Changwon National University, Changwon, South Korea · bDepartment of Artificial Intelligence Engineering, Changwon National University, Changwon, South Korea

  4. Seq103: A Unified Neuroevolution Framework for Compact Sequence Architecture Discovery

    Jun 3, 2026Wenxiao Li, Yongjian Liu, Qing XieEvolutionary OptimizationTime Series Classification

    School of Computer Science and Artificial Intelligence, Wuhan University of Technology, No. 122 Luoshi Road, Hongshan District, Wuhan, 430070, Hubei, China

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

    Jun 2, 2026Tao Xie, Zexi Tan, Haoyi Xiao +5Multivariate Time Series ClassificationTime Series Classification

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

  6. The Impact of Temporal Granularity on Socio-Demographic Inference from Household Load Profiles

    Jun 2, 2026Dejan Radovanovic, Maximilian Schirl, Andreas Unterweger +1Time Series ClassificationPrivacy-Utility Tradeoff

    Center for Secure Energy Informatics, Salzburg University of Applied Sciences, Puch bei Hallein, Austria · Paris Lodron University of Salzburg, Salzburg, Austria

  7. 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

  8. An explainable hierarchical self attention-based approach for tremor detection in the time domain

    May 30, 2026Timothy Odonga, Jeanne M. Powell, Mark Saad +5Time Series ClassificationTime Series Representation Learning

    Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, USA · Jean and Paul Amos Parkinson’s Disease and Movement Disorders Program, Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA · Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA

  9. ChurnNet: A Optimized Modern AI for Churn Prediction

    May 29, 2026Syed Saad Saif, Giulio Maggiore, Paolo Russo +1Time Series ClassificationMulti-Task Learning

    Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy · Department of Law and Economics, UnitelmaSapienza University of Rome, Rome, Italy · R&D Center, Token Financial Technologies, Istanbul, Turkey +1

  10. SigmaMedStat: Temporal Signal Modeling for ICU False Alarm Reduction

    May 28, 2026Arunkumar RamachandranHealthcareTime Series Classification

  11. QuITE: Query-Based Irregular Time Series Embedding

    May 27, 2026Junghoon LimIrregular Time-Series ModelingMultivariate Time Series Forecasting

    SK Shieldus, Seongnam, Republic of Korea

  12. Sleep-stage efficient classification using a lightweight self-supervised model

    May 25, 2026Eldiane Borges dos Santos Durães, João Batista FlorindoEfficient Neural Network InferenceSleep Stage Classification

    Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, Street Sergio Buarque de Holanda, 651, Campinas, Brazil

  13. Predicting Stock Price Direction on Earnings Announcement Days using Multi-modal Deep Learning

    May 25, 2026Manuel Noseda, Nathan Soldati, Marco PainaTime Series ClassificationTime Series Forecasting

    ETH ZÜrich

  14. 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

  15. ChronoVAE-HOPE: Beyond Attention -- A Next-Generation VAE Foundation Model for Specialized Time Series Classification

    May 21, 2026José Alberto Rodríguez, Luis Balderas, Miguel Lastra +2Variational AutoencodersDisentangled Representation Learning

    Department of Computer Science and Artificial Intelligence DiCITS, iMUDS, DaSCI University of Granada, Granada, Spain 18071 · Advanced Medical Imaging Group, Instituto de Investigación Biosanitaria de Granada (ibs.Granada) · Department of Software Engineering DiCITS, iMUDS, DaSCI University of Granada, Granada, Spain 18071 +1

  16. 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

  17. 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

  18. Divide and Contrast: Learning Robust Temporal Features without Augmentation

    May 20, 2026Abdul-Kazeem Shamba, Kerstin Bach, Gavin TaylorContrastive LearningSelf-Supervised Learning

    Department of Computer Science, Norwegian University of Science and Technology, Norway · Department of Computer Science, United States Naval Academy, USA.

  19. INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification

    May 19, 2026Seongjun Lee, Seokhyun Lee, Changhee LeeTime Series ClassificationInterpretable ML

    Department of Artificial Intelligence, Korea University

  20. Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules

    May 19, 2026Emil Hardarson, Konstantin Popov, Sigridur Sigurdardottir +3Sleep Stage ClassificationTime Series Classification

    Department of Computer Science, Reykjavik University, Reykjavik, Iceland · Reykjavik University Sleep Institute, Reykjavik University, Reykjavik, Iceland · Department of Engineering, Reykjavik University, Reykjavik, Iceland +1

  21. When Does Self-Supervised Learning Transfer to Time-Series Tasks?

    May 19, 2026Noam Major, Kathy Razmadze, Yoli ShavitSelf-Supervised Pre-TrainingTime Series Classification

    Faculty of Engineering, Bar-Ilan University, Israel

  22. An Objective Performance Evaluation of the LSTM Networks in Time Series Classification

    May 19, 2026Sooraj Sunil, Balakumar BalasingamTime Series ClassificationRecurrent Neural Networks

    Electrical and Computer Engineering University of Windsor Windsor, ON, Canada

  23. Chronicle: A Multimodal Foundation Model for Joint Language and Time Series Understanding

    May 18, 2026Paul Quinlan, Jeremy Levasseur, Qingguo Li +1Cross-Modal LearningMultivariate Time Series Forecasting

    1InertialAI · Department of Electrical and Computer Engineering, Queen’s University · Department of Mechanical and Materials Engineering, Queen’s University

  24. KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture

    May 18, 2026Luis Balderas, José Alberto Rodríguez, Miguel Lastra +2Memory-Augmented Neural NetworksTime Series Classification

    Department of Computer Science and Artificial Intelligence · DiCITS, iMUDS, DaSCI · Advanced Medical Imaging Group, Instituto de Investigación Biosanitaria de Granada (ibs.Granada) +3

  25. Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals

    May 18, 2026Jordan Tschida, Matthew Yohe, Edward Kane +10Time Series Classification

    Oak Ridge National Laboratory, Oak Ridge, Tennessee

  26. Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids

    May 17, 2026Emad Abukhousa, Saman Zonouz, A. P. Sakis MeliopoulosEfficient Neural Network InferenceTime Series Classification

    School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

  27. A Conflict-aware Evidential Framework for Reliable Sleep Stage Classification

    May 16, 2026Yunzhi Tian, Dekui Wang, Qirong Bu +3Sleep Stage ClassificationEvidential Deep Learning

    College of Computer Science, Northwest University, Xi’an, China.

  28. Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis

    May 14, 2026Tawsik Jawad, Gowtham Atluri, Vikram RavindraElectroencephalographyTime Series Classification

    University of Cincinnati, Cincinnati, OH, USA

  29. MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling

    May 13, 2026Hsing-Huan Chung, Shijun Li, Yoav Wald +3Irregular Time-Series ModelingHealthcare

    University of Texas at Austin · Technion-IIT · Johns Hopkins University

  30. Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer

    May 12, 2026Nilushika Udayangani, Kishor Nandakishor, Marimuthu PalaniswamiTime Series ClassificationFeature-Based Knowledge Distillation

    Department of Electrical and Electronic Engineering University of Melbourne Parkville, VIC 3052, Australia