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Showing 6801–6825 of 9169 papers

TitleStatusHype
Fast Robust Methods for Singular State-Space Models—0
Recurrent Neural Networks with more flexible memory: better predictions than rough volatility—0
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones—0
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State—0
RePAD: Real-time Proactive Anomaly Detection for Time Series—0
Fast Stability Scanning for Future Grid Scenario Analysis—0
Viking: Variational Bayesian Variance Tracking—0
Recursive Gaussian Process over graphs for Integrating Multi-timescale Measurements in Low-Observable Distribution Systems—0
Recursive input and state estimation: A general framework for learning from time series with missing data—0
Recursive Least Squares Policy Control with Echo State Network—0
Recursive Sparse Point Process Regression with Application to Spectrotemporal Receptive Field Plasticity Analysis—0
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network—0
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization—0
Fast Variational Inference for Large-scale Internet Diagnosis—0
Hypotheses testing on infinite random graphs—0
ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering—0
Reduced-order modeling of unsteady fluid flow using neural network ensembles—0
Reduced-Rank Matrix Autoregressive Models: A Medium N Approach—0
Reducing Artificial Neural Network Complexity: A Case Study on Exoplanet Detection—0
Reducing overestimating and underestimating volatility via the augmented blending-ARCH model—0
Fault Diagnosis of Inter-turn Short Circuit in Permanent Magnet Synchronous Motors with Current Signal Imaging and Unsupervised Learning—0
Reducing statistical time-series problems to binary classification—0
C-SHAP for time series: An approach to high-level temporal explanations—0
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