| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 | 5 |
| Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data | Sep 11, 2023 | graph constructionGraph Neural Network | CodeCode Available | 1 | 5 |
| Gated Transformer Networks for Multivariate Time Series Classification | Mar 26, 2021 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification | Nov 24, 2023 | Time SeriesTime Series Classification | CodeCode Available | 1 | 5 |
| From Time Series to Networks in R with the ts2net Package | Aug 20, 2022 | Graph MiningTime Series | CodeCode Available | 1 | 5 |
| F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information | Dec 3, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Benchmark time series data sets for PyTorch -- the torchtime package | Jul 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting | Apr 21, 2022 | Decision MakingPrediction Intervals | CodeCode Available | 1 | 5 |
| FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling | May 24, 2024 | Computational EfficiencyTime Series | CodeCode Available | 1 | 5 |
