| Forecasting Early with Meta Learning | Jul 19, 2023 | Meta-LearningMulti-Task Learning | CodeCode Available | 0 | 5 |
| A Complex Systems Approach To Feature Extraction for Chaotic Behavior Recognition | Feb 15, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Forecasting and Granger Modelling with Non-linear Dynamical Dependencies | Jun 27, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Forecasting Algorithms for Causal Inference with Panel Data | Aug 6, 2022 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Auxiliary Quantile Forecasting with Linear Networks | Dec 5, 2022 | Multi-Task LearningTime Series | CodeCode Available | 0 | 5 |
| Graph Edit Networks | Jan 1, 2021 | AttributeGraph Generation | CodeCode Available | 0 | 5 |
| Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables | Jul 21, 2020 | regressionTime Series | CodeCode Available | 0 | 5 |
| Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge | Jun 9, 2023 | Missing ValuesTime Series | CodeCode Available | 0 | 5 |
| Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values | Jan 11, 2024 | Anomaly DetectionMissing Values | CodeCode Available | 0 | 5 |
| Graph Switching Dynamical Systems | Jun 1, 2023 | ObjectTime Series | CodeCode Available | 0 | 5 |
| DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data | May 2, 2022 | AstronomyImage Classification | CodeCode Available | 0 | 5 |
| DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics | Jun 5, 2023 | Time Series | CodeCode Available | 0 | 5 |
| FNetAR: Mixing Tokens with Autoregressive Fourier Transforms | Jul 22, 2021 | Language ModellingTime Series | CodeCode Available | 0 | 5 |
| Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks | Jun 2, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach | Oct 9, 2017 | BenchmarkingClustering | CodeCode Available | 0 | 5 |
| A Bayesian Modelling Framework with Model Comparison for Epidemics with Super-Spreading | Jan 22, 2025 | Model SelectionTime Series | CodeCode Available | 0 | 5 |
| Coordination Event Detection and Initiator Identification in Time Series Data | Mar 4, 2016 | Decision MakingEvent Detection | CodeCode Available | 0 | 5 |
| HADL Framework for Noise Resilient Long-Term Time Series Forecasting | Feb 14, 2025 | Computational EfficiencyDecision Making | CodeCode Available | 0 | 5 |
| Deep Generative Networks For Sequence Prediction | Apr 18, 2018 | PredictionRepresentation Learning | CodeCode Available | 0 | 5 |
| Harnessing the power of Topological Data Analysis to detect change points in time series | Oct 28, 2019 | Change Point DetectionTime Series | CodeCode Available | 0 | 5 |
| Flipped Classroom: Effective Teaching for Time Series Forecasting | Oct 17, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics | Apr 9, 2021 | motion predictionPrediction | CodeCode Available | 0 | 5 |
| Deep Generative Markov State Models | May 19, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Fitting stochastic predator-prey models using both population density and kill rate data | Apr 3, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| FLEXtime: Filterbank learning to explain time series | Nov 6, 2024 | EEGTime Series | CodeCode Available | 0 | 5 |
