| Random matrix approach to estimation of high-dimensional factor models | Nov 23, 2017 | Dimensionality ReductionTime Series | —Unverified | 0 | 0 |
| An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone | Sep 14, 2023 | Anomaly DetectionHyperparameter Optimization | —Unverified | 0 | 0 |
| Large Language Models are Few-shot Multivariate Time Series Classifiers | Jan 30, 2025 | Representation LearningTime Series | —Unverified | 0 | 0 |
| Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection | Jan 26, 2024 | Anomaly DetectionKnowledge Distillation | —Unverified | 0 | 0 |
| Deep Learning for Epidemiological Predictions | Jul 21, 2018 | Deep LearningEpidemiology | —Unverified | 0 | 0 |
| RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data | Feb 16, 2024 | AllDiversity | —Unverified | 0 | 0 |
| Large datasets for the Euro Area and its member countries and the dynamic effects of the common monetary policy | Oct 7, 2024 | Time Series | —Unverified | 0 | 0 |
| Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks | Mar 3, 2025 | PredictionTime Series | —Unverified | 0 | 0 |
| Deep Learning for Energy Time-Series Analysis and Forecasting | Jun 15, 2023 | Deep LearningDemand Forecasting | —Unverified | 0 | 0 |
| Random vector functional link neural network based ensemble deep learning for short-term load forecasting | Jul 30, 2021 | Load ForecastingRepresentation Learning | —Unverified | 0 | 0 |
| LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection | Oct 9, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering | May 4, 2025 | ClusteringTime Series | —Unverified | 0 | 0 |
| Ranking and significance of variable-length similarity-based time series motifs | Mar 6, 2015 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Rank Supervised Contrastive Learning for Time Series Classification | Jan 31, 2024 | ClassificationContrastive Learning | —Unverified | 0 | 0 |
| RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning | Oct 5, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| RapidAI4EO: Mono- and Multi-temporal Deep Learning models for Updating the CORINE Land Cover Product | Oct 26, 2022 | Change DetectionClassification | —Unverified | 0 | 0 |
| RAPID: Early Classification of Explosive Transients using Deep Learning | Mar 29, 2019 | ClassificationDeep Learning | —Unverified | 0 | 0 |
| Rapidly evaluating lockdown strategies using spectral analysis: the cycles behind new daily COVID-19 cases and what happens after lockdown | Apr 16, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Rapid Time Series Prediction with a Hardware-Based Reservoir Computer | Jul 19, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Laplacian Convolutional Representation for Traffic Time Series Imputation | Dec 3, 2022 | Decision MakingImage Inpainting | —Unverified | 0 | 0 |
| Deep Learning for Energy Markets | Aug 16, 2018 | Deep LearningTime Series | —Unverified | 0 | 0 |
| Rate-Agnostic (Causal) Structure Learning | Dec 1, 2015 | AllTime Series | —Unverified | 0 | 0 |
| Automatic Generation of Probabilistic Programming from Time Series Data | Jul 4, 2016 | DescriptiveProbabilistic Programming | —Unverified | 0 | 0 |
| RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting | Mar 7, 2024 | DecoderManagement | —Unverified | 0 | 0 |
| An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth | Dec 7, 2020 | DecoderPrediction | —Unverified | 0 | 0 |