| An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space | Nov 26, 2020 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer | May 20, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 | 5 |
| Improving Deep Learning Interpretability by Saliency Guided Training | Nov 29, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks | Feb 22, 2022 | Domain AdaptationTime Series | CodeCode Available | 1 | 5 |
| Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals | Jul 31, 2023 | Blood pressure estimationHypertension detection | CodeCode Available | 1 | 5 |
| Human Activity Segmentation Challenge @ ECML/PKDD’23 | Sep 18, 2023 | Activity RecognitionChange Point Detection | CodeCode Available | 1 | 5 |
| Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models | Nov 14, 2022 | ECG ClassificationState Space Models | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Time Series: A Generative Approach | Nov 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis | Jan 12, 2024 | Time Series | CodeCode Available | 1 | 5 |
| HYDRA: Competing convolutional kernels for fast and accurate time series classification | Mar 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
