mlsanityData to 14 Oct 2026

Multivariate Time Series Classification with WEASEL+MUSE

arXiv 1711.11343 ↗First posted 30 Nov 2017cs.LGcited by 53

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Abstract (arXiv)

Multivariate time series (MTS) arise when multiple interconnected sensors record data over time. Dealing with this high-dimensional data is challenging for every classifier for at least two aspects: First, an MTS is not only characterized by individual feature values, but also by the interplay of features in different dimensions. Second, this typically adds large amounts of irrelevant data and noise. We present our novel MTS classifier WEASEL+MUSE which addresses both challenges. WEASEL+MUSE builds a multivariate feature vector, first using a sliding-window approach applied to each dimension of the MTS, then extracts discrete features per window and dimension. The feature vector is subsequently fed through feature selection, removing non-discriminative features, and analysed by a machine learning classifier. The novelty of WEASEL+MUSE lies in its specific way of extracting and filtering multivariate features from MTS by encoding context information into each feature. Still the resulting feature set is small, yet very discriminative and useful for MTS classification. Based on a popular benchmark of 20 MTS datasets, we found that WEASEL+MUSE is among the most accurate classifiers, when compared to the state of the art. The outstanding robustness of WEASEL+MUSE is further confirmed based on motion gesture recognition data, where it out-of-the-box achieved similar accuracies as domain-specific methods.

Key facts. Cited by 53 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Nov 2017.

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Citing papers per year: 2021: 6; 2022: 9; 2023: 16; 2024: 7; 2025: 7; 2026: 8.

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  1. 2023TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Seriescited by 169
  2. 2021HIVE-COTE 2.0: a new meta ensemble for time series classificationcited by 118
  3. 2023FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classificationcited by 21
  4. 2023TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classificationcited by 16
  5. 2023WEASEL 2.0 -- A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classificationcited by 15
  6. 2022HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computingcited by 14
  7. 2023Unsupervised Representation Learning for Time Series: A Reviewcited by 14
  8. 2024ShapeFormer: Shapelet Transformer for Multivariate Time Series Classificationcited by 14
  9. 2024TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learningcited by 12
  10. 2021Deep Efficient Continuous Manifold Learning for Time Series Modelingcited by 10
  11. 2025MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classificationcited by 10
  12. 2021SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Seriescited by 9
38 more
  1. 2022Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classificationcited by 8
  2. 2023Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approachcited by 8
  3. 2023Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fieldscited by 8
  4. 2023Unleashing the Power of Shared Label Structures for Human Activity Recognitioncited by 7
  5. 2023ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classificationcited by 7
  6. 2023MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphscited by 7
  7. 2023Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithmscited by 7
  8. 2021Multi-Stage Prototype Learning for Interpretable Time Series Classificationcited by 6
  9. 2022A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classificationcited by 6
  10. 2023Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domaincited by 4
  11. 2025Training-Free Time Series Classification via In-Context Reasoning with LLM Agentscited by 4
  12. 2026The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classificationcited by 4
  13. 2021Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Datacited by 3
  14. 2022Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveScited by 3
  15. 2023LLT: An R package for Linear Law-based Feature Space Transformationcited by 3
  16. 2025Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classificationcited by 3
  17. 2024A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Promptingcited by 2
  18. 2024VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classificationcited by 2
  19. 2025Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Datacited by 1
  20. 2026Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verificationcited by 1
  21. 2021Mimic: An adaptive algorithm for multivariate time series classificationcited by 0
  22. 2022COSTI: a New Classifier for Sequences of Temporal Intervalscited by 0
  23. 2022Interpretable Feature Engineering for Time Series Predictors using Attention Networkscited by 0
  24. 2022Semi-unsupervised Learning for Time Series Classificationcited by 0
  25. 2022Explainable classification of astronomical uncertain time seriescited by 0
  26. 2022An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensionscited by 0
  27. 2023Back to Basics: A Sanity Check on Modern Time Series Classification Algorithmscited by 0
  28. 2023Pyramidal Hidden Markov Model For Multivariate Time Series Forecastingcited by 0
  29. 2023ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensorscited by 0
  30. 2024Time Elastic Neural Networkscited by 0
  31. 2024Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classificationcited by 0
  32. 2024Causal and Local Correlations Based Network for Multivariate Time Series Classificationcited by 0
  33. 2025Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vesselcited by 0
  34. 2025PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homologycited by 0
  35. 2025Guided by Stars: Interpretable Concept Learning Over Time Series via Temporal Logic Semanticscited by 0
  36. 2026LDTC: Lifelong deep temporal clustering for multivariate time seriescited by 0
  37. 2026TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classificationcited by 0
  38. 2026MIHT: A Hoeffding Tree for Time Series Classification using Multiple Instance Learningcited by 0

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