mlsanityData to 7 Oct 2026

Multivariate LSTM-FCNs for Time Series Classification

arXiv 1801.04503 ↗First posted 14 Jan 2018cs.LG stat.MLcited by 120

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Abstract (arXiv)

Over the past decade, multivariate time series classification has received great attention. We propose transforming the existing univariate time series classification models, the Long Short Term Memory Fully Convolutional Network (LSTM-FCN) and Attention LSTM-FCN (ALSTM-FCN), into a multivariate time series classification model by augmenting the fully convolutional block with a squeeze-and-excitation block to further improve accuracy. Our proposed models outperform most state-of-the-art models while requiring minimum preprocessing. The proposed models work efficiently on various complex multivariate time series classification tasks such as activity recognition or action recognition. Furthermore, the proposed models are highly efficient at test time and small enough to deploy on memory constrained systems.

Key facts. Cited by 120 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Jan 2018.

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Citing papers per year: 2021: 20; 2022: 21; 2023: 33; 2024: 15; 2025: 23; 2026: 8.

120 papers.

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  1. 2023TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Seriescited by 165
  2. 2023Deep Learning for Time Series Classification and Extrinsic Regression: A Current Surveycited by 68
  3. 2023Improving Position Encoding of Transformers for Multivariate Time Series Classificationcited by 44
  4. 2021Learning a Proposal Classifier for Multiple Object Trackingcited by 42
  5. 2023BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learningcited by 25
  6. 2021Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognitioncited by 24
  7. 2022Dynamic Sparse Network for Time Series Classification: Learning What to "see''cited by 22
  8. 2023FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classificationcited by 21
  9. 2021Adjusting for Autocorrelated Errors in Neural Networks for Time Seriescited by 18
  10. 2023TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classificationcited by 16
  11. 2021An Efficient Federated Distillation Learning System for Multi-task Time Series Classificationcited by 14
  12. 2022Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensionscited by 14
38 more
  1. 2022Towards Similarity-Aware Time-Series Classificationcited by 13
  2. 2022Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Penscited by 13
  3. 2024TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learningcited by 12
  4. 2021A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Gridscited by 11
  5. 2021Deep Efficient Continuous Manifold Learning for Time Series Modelingcited by 10
  6. 2023A Multi-Scale Decomposition MLP-Mixer for Time Series Analysiscited by 10
  7. 2025MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classificationcited by 10
  8. 2025Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarkscited by 10
  9. 2021SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Seriescited by 9
  10. 2023A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learningcited by 9
  11. 2023Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Surveycited by 9
  12. 2023Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approachcited by 8
  13. 2021Online structural health monitoring by model order reduction and deep learning algorithmscited by 7
  14. 2023MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphscited by 7
  15. 2023Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithmscited by 7
  16. 2021Predictive Maintenance for General Aviation Using Convolutional Transformerscited by 6
  17. 2022Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?cited by 6
  18. 2022A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classificationcited by 6
  19. 2023Unleashing the Power of Shared Label Structures for Human Activity Recognitioncited by 6
  20. 2023MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regressioncited by 6
  21. 2023Data-Driven Identification of Quadratic Representations for Nonlinear Hamiltonian Systems using Weakly Symplectic Liftingscited by 6
  22. 2021GraSSNet: Graph Soft Sensing Neural Networkscited by 5
  23. 2022LiteLSTM Architecture for Deep Recurrent Neural Networkscited by 5
  24. 2022Transfer learning for time series classification using synthetic data generationcited by 5
  25. 2023Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environmentscited by 5
  26. 2023An Efficient Content-based Time Series Retrieval Systemcited by 5
  27. 2025Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepanciescited by 5
  28. 2021Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformercited by 4
  29. 2022DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensorscited by 4
  30. 2022TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Seriescited by 4
  31. 2022Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networkscited by 4
  32. 2023Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modelingcited by 4
  33. 2023Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domaincited by 4
  34. 2021IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalancecited by 3
  35. 2021Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Datacited by 3
  36. 2023LLT: An R package for Linear Law-based Feature Space Transformationcited by 3
  37. 2023Diagnostic Spatio-temporal Transformer with Faithful Encodingcited by 3
  38. 2023The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theorycited by 3

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