| Hydroclimatic time series features at multiple time scales | Dec 2, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data | Nov 30, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms | Aug 6, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Ridge Regression for Manifold-valued Time-Series with Application to Meteorological Forecast | Nov 27, 2024 | regressionTime Series | —Unverified | 0 |
| A Tale of Tail Covariances (and Diversified Tails) | Feb 27, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case | Jan 26, 2017 | ClusteringTime Series | —Unverified | 0 |
| A Bag of Receptive Fields for Time Series Extrinsic Predictions | Nov 29, 2023 | Missing Valuesregression | —Unverified | 0 |
| Riemannian Prediction of Anatomical Diagnoses in Congenital Heart Disease based on 12-lead ECGs | Nov 27, 2023 | PrognosisTime Series | —Unverified | 0 |
| Robust Time Series Denoising with Learnable Wavelet Packet Transform | Jun 13, 2022 | DenoisingTime Series | —Unverified | 0 |
| CNN-Based Structural Damage Detection using Time-Series Sensor Data | Nov 7, 2023 | Structural Health MonitoringTime Series | —Unverified | 0 |
| Hybrid Variational Autoencoder for Time Series Forecasting | Mar 13, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Metaheuristics optimized feedforward neural networks for efficient stock price prediction | Jun 23, 2019 | Decision MakingStock Price Prediction | —Unverified | 0 |
| Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach | Dec 27, 2019 | continuous-controlContinuous Control | —Unverified | 0 |
| RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data | Apr 11, 2024 | Binary ClassificationLanguage Modeling | —Unverified | 0 |
| Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples | Feb 3, 2024 | Image GenerationTime Series | —Unverified | 0 |
| RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning | Mar 31, 2021 | Active LearningAnomaly Detection | —Unverified | 0 |
| RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process | Sep 7, 2017 | Cyber Attack DetectionFault Detection | —Unverified | 0 |
| RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression | Dec 2, 2023 | Time Series | —Unverified | 0 |
| Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization | Sep 19, 2023 | Feature EngineeringTime Series | —Unverified | 0 |
| Cross-user activity recognition via temporal relation optimal transport | Mar 12, 2024 | Activity RecognitionDomain Adaptation | —Unverified | 0 |
| Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data | Nov 1, 2019 | Decision MakingFriction | —Unverified | 0 |
| Robust and efficient change point detection using novel multivariate rank-energy GoF test | Oct 29, 2021 | Change Point DetectionTime Series | —Unverified | 0 |
| Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection---Extended Version | Apr 7, 2022 | Outlier DetectionTime Series | —Unverified | 0 |
| Robust and fast heart rate variability analysis of long and noisy electrocardiograms using neural networks and images | Feb 16, 2019 | Heart Rate VariabilityTime Series | —Unverified | 0 |
| A tail dependence-based MST and their topological indicators in modelling systemic risk in the European insurance sector | Mar 10, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |