| FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks | Jun 18, 2021 | Graph AttentionTime Series | CodeCode Available | 1 | 5 |
| Hierarchical forecasting with a top-down alignment of independent level forecasts | Mar 15, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests | Jul 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| An Empirical Framework for Domain Generalization in Clinical Settings | Mar 20, 2021 | Domain GeneralizationTime Series | CodeCode Available | 1 | 5 |
| FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting | Dec 2, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Continuous Latent Process Flows | Jun 29, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Jumping VaR: Order Statistics Volatility Estimator for Jumps Classification and Market Risk Modeling | Mar 22, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations | Jun 16, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration | Jun 25, 2024 | Change DetectionMulti-Task Learning | CodeCode Available | 1 | 5 |
| Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Oct 21, 2023 | Contrastive LearningEEG | CodeCode Available | 1 | 5 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| Feature Programming for Multivariate Time Series Prediction | Jun 9, 2023 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 1 | 5 |
| Keiki: Towards Realistic Danmaku Generation via Sequential GANs | Jul 7, 2021 | DiversityTime Series | CodeCode Available | 1 | 5 |
| A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning | May 30, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 | 5 |
| FedMood: Federated Learning on Mobile Health Data for Mood Detection | Feb 6, 2021 | BIG-bench Machine LearningDepression Detection | CodeCode Available | 1 | 5 |
| An Empirical Evaluation of Time-Series Feature Sets | Oct 21, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting | Jul 30, 2020 | ManagementTime Series | CodeCode Available | 1 | 5 |
| FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting | Jun 19, 2023 | Inductive BiasTime Series | CodeCode Available | 1 | 5 |
| FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation | May 25, 2022 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
| Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping | Jun 12, 2023 | Correlated Time Series ForecastingRepresentation Learning | CodeCode Available | 1 | 5 |
| AGNet: Weighing Black Holes with Machine Learning | Nov 30, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 | 5 |
| FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting | Dec 27, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Feature-Based Time-Series Analysis in R using the theft Package | Aug 12, 2022 | Data VisualizationTime Series | CodeCode Available | 1 | 5 |
