| F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information | Dec 3, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network | Apr 26, 2022 | DiagnosticTime Series | CodeCode Available | 1 | 5 |
| Population Aware Diffusion for Time Series Generation | Jan 1, 2025 | Time SeriesTime Series Generation | CodeCode Available | 1 | 5 |
| Population Transformer: Learning Population-level Representations of Neural Activity | Jun 5, 2024 | Representation LearningTime Series | CodeCode Available | 1 | 5 |
| Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast | May 13, 2025 | Knowledge DistillationTime Series | CodeCode Available | 1 | 5 |
| FrAug: Frequency Domain Augmentation for Time Series Forecasting | Feb 18, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 | 5 |
| A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction | Mar 31, 2020 | Spatio-Temporal ForecastingTime Series | CodeCode Available | 1 | 5 |
| Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting | Oct 25, 2024 | Deep Reinforcement LearningTime Series | CodeCode Available | 1 | 5 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| Adjusting for Autocorrelated Errors in Neural Networks for Time Series | Jan 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
