| T-Graphormer: Using Transformers for Spatiotemporal Forecasting | Jan 22, 2025 | Time SeriesTraffic Prediction | CodeCode Available | 0 |
| Ultralow-dimensionality reduction for identifying critical transitions by spatial-temporal PCA | Jan 22, 2025 | Dimensionality ReductionTime Series | —Unverified | 0 |
| A Bayesian Modelling Framework with Model Comparison for Epidemics with Super-Spreading | Jan 22, 2025 | Model SelectionTime Series | CodeCode Available | 0 |
| Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting | Jan 22, 2025 | Quantum Machine LearningTime Series | —Unverified | 0 |
| Investigating Market Strength Prediction with CNNs on Candlestick Chart Images | Jan 21, 2025 | Time Series | —Unverified | 0 |
| A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers | Jan 21, 2025 | parameter estimationTime Series | —Unverified | 0 |
| Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction | Jan 21, 2025 | Federated LearningPrediction | —Unverified | 0 |
| Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism | Jan 21, 2025 | Federated LearningNetwork Embedding | —Unverified | 0 |
| Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions | Jan 21, 2025 | State Space ModelsStructural Health Monitoring | —Unverified | 0 |
| Unsupervised Learning in Echo State Networks for Input Reconstruction | Jan 20, 2025 | Time Series | —Unverified | 0 |