| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 |
| Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting | Feb 22, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction | Aug 20, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift | Apr 7, 2022 | Domain AdaptationTime Series | CodeCode Available | 1 |
| A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID | Oct 13, 2022 | ManagementTime Series | CodeCode Available | 1 |
| Do We Really Need Deep Learning Models for Time Series Forecasting? | Jan 6, 2021 | Deep Learningregression | CodeCode Available | 1 |
| DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting | Jun 11, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data | Feb 17, 2023 | Anomaly DetectionDiagnostic | CodeCode Available | 1 |
| DuETT: Dual Event Time Transformer for Electronic Health Records | Apr 25, 2023 | Time Series | CodeCode Available | 1 |
| E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series | Feb 21, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 |
