| Self-Supervised Learning for Time Series: A Review & Critique of FITS | Oct 23, 2024 | regressionSelf-Supervised Learning | CodeCode Available | 0 |
| Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data | Mar 23, 2023 | ClusteringImputation | CodeCode Available | 0 |
| A Review of the Long Horizon Forecasting Problem in Time Series Analysis | Jun 15, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| Self-Organization Towards 1/f Noise in Deep Neural Networks | Jan 20, 2023 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Self-explaining Hierarchical Model for Intraoperative Time Series | Oct 10, 2022 | modelTime Series | CodeCode Available | 0 |
| Self-attention for raw optical Satellite Time Series Classification | Oct 23, 2019 | ClassificationDeep Learning | CodeCode Available | 0 |
| Selective Inference for Changepoint detection by Recurrent Neural Network | Nov 25, 2023 | Selection biasTime Series | CodeCode Available | 0 |
| Segmenting Hybrid Trajectories using Latent ODEs | May 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Seglearn: A Python Package for Learning Sequences and Time Series | Mar 21, 2018 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 0 |
| A Review of Network Inference Techniques for Neural Activation Time Series | Jun 20, 2018 | Point ProcessesTime Series | CodeCode Available | 0 |
| A log-linear time algorithm for constrained changepoint detection | Mar 9, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Accurate Inference for Adaptive Linear Models | Dec 18, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| A 1d convolutional network for leaf and time series classification | Jun 28, 2019 | General ClassificationTime Series | CodeCode Available | 0 |
| Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding | May 26, 2019 | Demand ForecastingTime Series | CodeCode Available | 0 |
| Seeing Through the Clouds: Cloud Gap Imputation with Prithvi Foundation Model | Apr 30, 2024 | Generative Adversarial NetworkImputation | CodeCode Available | 0 |
| Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting | Mar 20, 2025 | Computational EfficiencyTime Series | CodeCode Available | 0 |
| Seasonality and susceptibility from measles time series | May 15, 2024 | Time Series | CodeCode Available | 0 |
| Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge | Jun 9, 2023 | Missing ValuesTime Series | CodeCode Available | 0 |
| SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation | Oct 4, 2024 | ImputationMultivariate Time Series Imputation | CodeCode Available | 0 |
| Forecasting Early with Meta Learning | Jul 19, 2023 | Meta-LearningMulti-Task Learning | CodeCode Available | 0 |
| Score-based calibration testing for multivariate forecast distributions | Nov 29, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach | Apr 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures | Mar 21, 2025 | Community DetectionStochastic Block Model | CodeCode Available | 0 |
| Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles | Sep 4, 2023 | Demand ForecastingFederated Learning | CodeCode Available | 0 |
| SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting | May 5, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
