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| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
| Detection of gravitational-wave signals from binary neutron star mergers using machine learning | Jun 2, 2020 | BIG-bench Machine LearningSensitivity | CodeCode Available | 1 | 5 |
| Detecting Looted Archaeological Sites from Satellite Image Time Series | Sep 14, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Diffusion-based Conditional ECG Generation with Structured State Space Models | Jan 19, 2023 | State Space ModelsSynthetic Data Generation | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting | Dec 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification | Mar 7, 2025 | Action RecognitionEEG | CodeCode Available | 1 | 5 |
| DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model | Aug 18, 2023 | DenoisingManagement | CodeCode Available | 1 | 5 |
| An efficient aggregation method for the symbolic representation of temporal data | Jan 14, 2022 | Dimensionality ReductionInformation Retrieval | CodeCode Available | 1 | 5 |
