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Showing 5901–5925 of 9169 papers

TitleStatusHype
Extension of the Lagrange multiplier test for error cross-section independence to large panels with non normal errors—0
Machine Learning Prediction of Time-Varying Rayleigh Channels—0
Semi-Supervised Recurrent Variational Autoencoder Approach for Visual Diagnosis of Atrial FibrillationCode0
Generating Reliable Process Event Streams and Time Series Data based on Neural NetworksCode0
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial AttackCode1
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks—0
PyRCN: A Toolbox for Exploration and Application of Reservoir Computing NetworksCode1
Artificial neural network as a universal model of nonlinear dynamical systems—0
Testing for a Random Walk Structure in the Frequency Evolution of a Tone in Noise—0
On the LRD of the Aggregated Traffic Flows in High-Speed Computer Networks—0
Prediction of financial time series using LSTM and data denoising methods—0
District Wise Price Forecasting of Wheat in Pakistan using Deep Learning—0
Deep Hedging, Generative Adversarial Networks, and Beyond—0
Exploring the representativeness of the M5 competition data—0
Modeling Macroeconomic Variations After COVID-19—0
Contrastive learning of strong-mixing continuous-time stochastic processes—0
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic PredictionCode1
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time SeriesCode1
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment—0
Two-Stage Framework for Seasonal Time Series Forecasting—0
Standing on the Shoulders of Machine Learning: Can We Improve Hypothesis Testing?Code0
Preliminaries on the Accurate Estimation of the Hurst Exponent Using Time Series—0
A Novel CNN-LSTM-based Approach to Predict Urban Expansion—0
Missing Value Imputation on Multidimensional Time SeriesCode1
Variance Reduced Training with Stratified Sampling for Forecasting Models—0
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