| ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting | Dec 5, 2021 | Load ForecastingTime Series | CodeCode Available | 1 | 5 |
| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Causal Discovery from Subsampled Time Series with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| Causal Recurrent Variational Autoencoder for Medical Time Series Generation | Jan 16, 2023 | Causal InferenceDecoder | CodeCode Available | 1 | 5 |
| CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables | Mar 4, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting | May 4, 2025 | Time SeriesTime Series Forecasting | 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 |
| Ensembles of Localised Models for Time Series Forecasting | Dec 30, 2020 | ClusteringTime Series | CodeCode Available | 1 | 5 |
| Entropy Causal Graphs for Multivariate Time Series Anomaly Detection | Dec 15, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| 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 |
