| Generating Synthetic Time Series Data for Cyber-Physical Systems | Apr 12, 2024 | Data AugmentationTime Series | —Unverified | 0 |
| Generating Trading Signals by ML algorithms or time series ones? | Jul 14, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Generation of a Supervised Classification Algorithm for Time-Series Variable Stars with an Application to the LINEAR Dataset | Jan 14, 2016 | AstronomyGeneral Classification | —Unverified | 0 |
| Generation of synthetic financial time series by diffusion models | Oct 24, 2024 | DenoisingTime Series | —Unverified | 0 |
| Bayesian LSTMs in medicine | Jun 5, 2017 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
| Generative adversarial network based on chaotic time series | May 24, 2019 | Generative Adversarial NetworkTime Series | —Unverified | 0 |
| Detecting CAN Masquerade Attacks with Signal Clustering Similarity | Jan 7, 2022 | ClusteringTime Series | —Unverified | 0 |
| Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories | Dec 1, 2017 | Predicting Drug-Induced Laboratory Test EffectsRepresentation Learning | —Unverified | 0 |
| Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination | Jan 7, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Generative Adversarial Networks for Spatio-temporal Data: A Survey | Aug 18, 2020 | ImputationSurvey | —Unverified | 0 |
| Generative Adversarial Networks in finance: an overview | Jun 11, 2021 | Image GenerationTime Series | —Unverified | 0 |
| Detecting British Columbia Coastal Rainfall Patterns by Clustering Gaussian Processes | Dec 23, 2018 | ClusteringGaussian Processes | —Unverified | 0 |
| Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction | Jun 20, 2025 | PredictionTime Series | —Unverified | 0 |
| Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data | Jan 8, 2024 | Fault DetectionTime Series | —Unverified | 0 |
| Generative AI-driven forecasting of oil production | Sep 24, 2024 | Decision MakingTime Series | —Unverified | 0 |
| Generative Anomaly Detection for Time Series Datasets | Jun 28, 2022 | Anomaly DetectionDensity Estimation | —Unverified | 0 |
| Generative forecasting of brain activity enhances Alzheimer's classification and interpretation | Oct 30, 2024 | Data AugmentationDeep Learning | —Unverified | 0 |
| Generative learning for nonlinear dynamics | Nov 7, 2023 | Learning TheoryState Space Models | —Unverified | 0 |
| Context-invariant, multi-variate time series representations | Sep 29, 2021 | Contrastive LearningRepresentation Learning | —Unverified | 0 |
| Generative modeling for time series via Schrödinger bridge | Apr 11, 2023 | Time Series | —Unverified | 0 |
| Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding | Apr 6, 2022 | Clinical KnowledgeDiagnostic | —Unverified | 0 |
| Hierarchical Bidirectional Transition Dispersion Entropy-based Lempel-Ziv Complexity and Its Application in Fault-Bearing Diagnosis | Dec 15, 2024 | Time Series | —Unverified | 0 |
| Generative modeling of spatio-temporal weather patterns with extreme event conditioning | Apr 26, 2021 | Event DetectionEvent Segmentation | —Unverified | 0 |
| "Generative Models for Financial Time Series Data: Enhancing Signal-to-Noise Ratio and Addressing Data Scarcity in A-Share Market | Dec 29, 2024 | Data AugmentationDenoising | —Unverified | 0 |
| Hierarchical Fisher Kernels for Longitudinal Data | Dec 1, 2008 | General ClassificationTime Series | —Unverified | 0 |