| An evaluation of time series forecasting models on water consumption data: A case study of Greece | Mar 30, 2023 | ManagementTime Series | —Unverified | 0 |
| Detecting Change in Seasonal Pattern via Autoencoder and Temporal Regularization | Sep 25, 2019 | Change Point DetectionTime Series | —Unverified | 0 |
| Generalized Gradient Learning on Time Series under Elastic Transformations | Feb 17, 2015 | Dynamic Time WarpingTime Series | —Unverified | 0 |
| Generalized Mixture Model for Extreme Events Forecasting in Time Series Data | Oct 11, 2023 | PredictionStock Price Prediction | —Unverified | 0 |
| Constrained Posterior Sampling: Time Series Generation with Hard Constraints | Oct 16, 2024 | DenoisingTime Series | —Unverified | 0 |
| Detecting Causality in the Frequency Domain with Cross-Mapping Coherence | Jul 30, 2024 | Causal DiscoveryTime Series | —Unverified | 0 |
| Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering | Jun 30, 2023 | ClassificationClustering | —Unverified | 0 |
| Linear-time inference for Gaussian Processes on one dimension | Mar 11, 2020 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data | Feb 5, 2025 | Anomaly DetectionImputation | —Unverified | 0 |
| Generating an Explainable ECG Beat Space With Variational Auto-Encoders | Nov 12, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
| Generating Building-Level Heat Demand Time Series by Combining Occupancy Simulations and Thermal Modeling | Mar 7, 2025 | Time Series | —Unverified | 0 |
| Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout | May 24, 2024 | Time Series | —Unverified | 0 |
| Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection | Aug 8, 2024 | Anomaly DetectionTime Series | —Unverified | 0 |
| Bayesian LSTMs in medicine | Jun 5, 2017 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
| Detecting CAN Masquerade Attacks with Signal Clustering Similarity | Jan 7, 2022 | ClusteringTime Series | —Unverified | 0 |
| Construction of a Surrogate Model: Multivariate Time Series Prediction with a Hybrid Model | Dec 15, 2022 | modelTime Series | —Unverified | 0 |
| Generating Long-term Continuous Multi-type Generation Profiles | Dec 22, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator | Jun 19, 2023 | Time Series | —Unverified | 0 |
| Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models | Sep 28, 2023 | Time Series | —Unverified | 0 |
| Detecting British Columbia Coastal Rainfall Patterns by Clustering Gaussian Processes | Dec 23, 2018 | ClusteringGaussian Processes | —Unverified | 0 |
| Generating Realistic Synthetic Head Rotation Data for Extended Reality using Deep Learning | Jan 15, 2025 | Generative Adversarial NetworkSynthetic Data Generation | —Unverified | 0 |
| Generating Similarity Map for COVID-19 Transmission Dynamics with Topological Autoencoder | Apr 3, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Contemporary machine learning: a guide for practitioners in the physical sciences | Dec 20, 2017 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Generating Student Feedback from Time-Series Data Using Reinforcement Learning | Aug 1, 2013 | Data-to-Text Generationreinforcement-learning | —Unverified | 0 |
| Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction | Jun 20, 2025 | PredictionTime Series | —Unverified | 0 |