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Showing 6801–6850 of 9169 papers

TitleStatusHype
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning—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
An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation—0
Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State—0
HySim: An Efficient Hybrid Similarity Measure for Patch Matching in Image Inpainting—0
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms—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
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations—0
Fast Variational Inference for Large-scale Internet Diagnosis—0
A Deep Learning Approach for COVID-19 Trend Prediction—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
Breaking Symmetries of the Reservoir Equations in Echo State Networks—0
Reducing Uncertainties of a Chained Hydrologic-hydraulic Model to Improve Flood Forecasting Using Multi-source Earth Observation Data—0
Reservoir Computing on the Hypersphere—0
Re-examining Granger Causality from Causal Bayesian Networks Perspective—0
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization—0
Refining Time Series Anomaly Detectors using Large Language Models—0
Hypotheses testing on infinite random graphs—0
C-SHAP for time series: An approach to high-level temporal explanations—0
Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand—0
Downside Risk Reduction Using Regime-Switching Signals: A Statistical Jump Model Approach—0
HyperTime: Implicit Neural Representation for Time Series—0
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers—0
Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models—0
Regressions under Adverse Conditions—0
Regression with Uncertainty Quantification in Large Scale Complex Data—0
Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data—0
Regularized Dynamic Boltzmann Machine with Delay Pruning for Unsupervised Learning of Temporal Sequences—0
Regularized Estimation of High-Dimensional Vector AutoRegressions with Weakly Dependent Innovations—0
Regularized Estimation of Piecewise Constant Gaussian Graphical Models: The Group-Fused Graphical Lasso—0
Regularized Flexible Activation Function Combinations for Deep Neural Networks—0
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting—0
Regular Time-series Generation using SGM—0
Hyperspectral Lightcurve Inversion for Attitude Determination—0
Feature-based time-series analysis—0
CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers—0
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting—0
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