| Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study | Apr 10, 2024 | Representation LearningTime Series | CodeCode Available | 2 | 5 |
| Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators | May 23, 2024 | image-classificationImage Classification | CodeCode Available | 2 | 5 |
| Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt | Mar 22, 2024 | Data AugmentationTime Series | CodeCode Available | 2 | 5 |
| DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks | Apr 13, 2017 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 2 | 5 |
| HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python | Jul 7, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 2 | 5 |
| Satellite Image Time Series Analysis for Big Earth Observation Data | Apr 24, 2022 | BIG-bench Machine LearningCloud Computing | CodeCode Available | 2 | 5 |
| A Transformer-based Framework for Multivariate Time Series Representation Learning | Oct 6, 2020 | Computational EfficiencyGeneral Classification | CodeCode Available | 1 | 5 |
| dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification | Jul 25, 2022 | ClassificationExplainable Models | CodeCode Available | 1 | 5 |
| A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction | Sep 26, 2024 | Mixture-of-ExpertsPrediction | CodeCode Available | 1 | 5 |
| AtsPy: Automated Time Series Forecasting in Python | May 14, 2020 | SurveyTime Series | CodeCode Available | 1 | 5 |
