| Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting | Oct 27, 2020 | ClusteringDeep Learning | —Unverified | 0 |
| A data-driven approach to the forecasting of ground-level ozone concentration | Oct 14, 2020 | Feature Importancefeature selection | —Unverified | 0 |
| Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting | May 19, 2020 | Spatio-Temporal Forecasting | —Unverified | 0 |
| Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting | Oct 29, 2019 | parameter estimationSpatio-Temporal Forecasting | CodeCode Available | 0 |
| CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction | Sep 25, 2019 | DecoderGraph Attention | —Unverified | 0 |
| Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning | Jul 25, 2019 | DecoderDiversity | CodeCode Available | 0 |
| HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting | Sep 28, 2018 | Spatio-Temporal ForecastingTime Series | —Unverified | 0 |
| Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting | Jun 28, 2018 | Spatio-Temporal ForecastingUncertainty Quantification | —Unverified | 0 |
| Gini-regularized Optimal Transport with an Application to Spatio-Temporal Forecasting | Dec 7, 2017 | Open-Ended Question AnsweringSpatio-Temporal Forecasting | —Unverified | 0 |
| Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data | Nov 2, 2017 | Spatio-Temporal ForecastingUncertainty Quantification | —Unverified | 0 |
| An Ensemble Quadratic Echo State Network for Nonlinear Spatio-Temporal Forecasting | Aug 16, 2017 | ManagementSpatio-Temporal Forecasting | —Unverified | 0 |
| Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting | Jul 24, 2017 | Deep LearningSpatio-Temporal Forecasting | CodeCode Available | 0 |
