| An Online Bootstrap for Time Series | Oct 30, 2023 | Time SeriesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction | Mar 1, 2023 | Air Pollution PredictionDeep Learning | CodeCode Available | 0 | 5 |
| Generative Optimization Networks for Memory Efficient Data Generation | Oct 6, 2021 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model | Mar 30, 2020 | Load ForecastingTime Series | CodeCode Available | 0 | 5 |
| Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition | Dec 27, 2024 | Activity RecognitionDecoder | CodeCode Available | 0 | 5 |
| Generative model for financial time series trained with MMD using a signature kernel | Jul 29, 2024 | ManagementPortfolio Optimization | CodeCode Available | 0 | 5 |
| Generative Adversarial Network for Future Hand Segmentation from Egocentric Video | Mar 21, 2022 | Generative Adversarial NetworkHand Segmentation | CodeCode Available | 0 | 5 |
| Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series | May 27, 2025 | Causal DiscoveryTime Series | CodeCode Available | 0 | 5 |
| Generating Reliable Process Event Streams and Time Series Data based on Neural Networks | Mar 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series | Nov 19, 2024 | Time SeriesTime Series Prediction | CodeCode Available | 0 | 5 |
