| Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels | Oct 1, 2019 | Language ModelingLanguage Modelling | —Unverified | 0 | 0 |
| Controlled time series generation for automotive software-in-the-loop testing using GANs | Feb 16, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Stochastic Time Series Model for Predicting Financial Trends using NLP | Feb 2, 2021 | Generative Adversarial NetworkSentiment Analysis | —Unverified | 0 | 0 |
| A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread | Jun 15, 2021 | Metaheuristic OptimizationTime Series | —Unverified | 0 | 0 |
| Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data | Oct 1, 2024 | Maximum SeparationRepresentation Learning | —Unverified | 0 | 0 |
| A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet Process | Jul 11, 2018 | Bayesian InferenceTime Series | —Unverified | 0 | 0 |
| A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series | Mar 4, 2024 | Causal InferenceTime Series | —Unverified | 0 | 0 |
| Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data | Feb 8, 2022 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Asteroids co-orbital motion classification based on Machine Learning | Sep 19, 2023 | ClassificationDimensionality Reduction | —Unverified | 0 | 0 |
| Contrastive Multivariate Singular Spectrum Analysis | Oct 31, 2018 | ClusteringDimensionality Reduction | —Unverified | 0 | 0 |
