| Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration | Jun 25, 2024 | Change DetectionMulti-Task Learning | CodeCode Available | 1 | 5 |
| Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Oct 21, 2023 | Contrastive LearningEEG | CodeCode Available | 1 | 5 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 | 5 |
| An Empirical Evaluation of Time-Series Feature Sets | Oct 21, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Fast Variational Learning in State-Space Gaussian Process Models | Jul 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning | May 30, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 | 5 |
| FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation | May 25, 2022 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
| Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models | Oct 23, 2023 | De-identificationDenoising | CodeCode Available | 1 | 5 |
| Crop mapping from image time series: deep learning with multi-scale label hierarchies | Feb 17, 2021 | Crop ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| FastDTW is approximate and Generally Slower than the Algorithm it Approximates | Mar 25, 2020 | Anomaly DetectionClustering | CodeCode Available | 1 | 5 |
