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Showing 6851–6900 of 9169 papers

TitleStatusHype
Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification—0
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting—0
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time—0
Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series—0
Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory—0
Learning Continuous-Time Dynamics by Stochastic Differential Networks—0
Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting—0
Distribution Regression for Sequential Data—0
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents—0
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection—0
Hierarchical regularization networks for sparsification based learning on noisy datasets—0
Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and Snapshot Time Series DataCode0
Statistical Estimation of High-Dimensional Vector Autoregressive Models—0
Detecting structural perturbations from time series with deep learningCode0
Deep learning of contagion dynamics on complex networks—0
tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder—0
Hybrid Model for Anomaly Detection on Call Detail Records by Time Series Forecasting—0
A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series—0
Online learning of both state and dynamics using ensemble Kalman filters—0
Multivariate Functional Singular Spectrum Analysis Over Different Dimensional Domains—0
Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and ARIMA Models—0
Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path SignatureCode0
Prediction of short and long-term droughts using artificial neural networks and hydro-meteorological variables—0
A New Look to Three-Factor Fama-French Regression Model using Sample Innovations—0
AdaVol: An Adaptive Recursive Volatility Prediction MethodCode0
Joint Forecasting and Interpolation of Graph Signals Using Deep Learning—0
Frequency Domain Compact 3D Convolutional Neural Networks—0
New Approaches to Robust Inference on Market (Non-)Efficiency, Volatility Clustering and Nonlinear Dependence—0
Discovering Synchronized Subsets of Sequences: A Large Scale SolutionCode0
A machine learning approach for forecasting hierarchical time series—0
Sig-SDEs model for quantitative finance—0
Learning Efficient Representations of Mouse Movements to Predict User AttentionCode0
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers—0
A reproduction rate which perfectly fits Covid-19—0
TSML (Time Series Machine Learnng)—0
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing FlowsCode0
Arm order recognition in multi-armed bandit problem with laser chaos time series—0
Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling—0
Recovery of surfaces and functions in high dimensions: sampling theory and links to neural networks—0
Instance Explainable Temporal Network For Multivariate Timeseries—0
Daily Middle-Term Probabilistic Forecasting of Power Consumption in North-East England—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
Path Imputation Strategies for Signature Models of Irregular Time SeriesCode0
Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks—0
Fractional trends and cycles in macroeconomic time series—0
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting—0
COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining—0
On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
Detecting and explaining changes in various assets' relationships in financial markets—0
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