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Showing 3951–4000 of 9169 papers

TitleStatusHype
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data—0
Deteção de estruturas permanentes a partir de dados de séries temporais Sentinel 1 e 2—0
Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data—0
Graph Deep Learning for Time Series Forecasting—0
A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread—0
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence—0
Graph Filters for Signal Processing and Machine Learning on Graphs—0
A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet Process—0
Bayesian inference and superstatistics to describe long memory processes of financial time series—0
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data—0
Graphical LASSO Based Model Selection for Time Series—0
Graphical Models for Financial Time Series and Portfolio Selection—0
Graphical RNN Models—0
Graphical Time Warping for Joint Alignment of Multiple Curves—0
Graph Learning from Multivariate Dependent Time Series via a Multi-Attribute Formulation—0
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction—0
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC—0
Deriving land surface phenology indicators from CO2 eddy covariance measurements—0
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification—0
An Evaluation of Classification Methods for 3D Printing Time-Series Data—0
Graph neural network-based fault diagnosis: a review—0
Graph Neural Networks and Time Series as Directed Graphs for Quality Recognition—0
Graph Neural Networks Based Anomalous RSSI Detection—0
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation—0
Bayesian Forecasting of Stock Returns on the JSE using Simultaneous Graphical Dynamic Linear Models—0
Hybrid Cryptocurrency Pump and Dump Detection—0
Graph Signal Processing: Vertex Multiplication—0
Graphs in State-Space Models for Granger Causality in Climate Science—0
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model—0
Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series—0
Graph state-space models—0
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network—0
Hybridization of Capsule and LSTM Networks for unsupervised anomaly detection on multivariate data—0
Grasping Core Rules of Time Series through Pure Models—0
Grassmannian Geometry Meets Dynamic Mode Decomposition in DMD-GEN: A New Metric for Mode Collapse in Time Series Generative Models—0
GraSSNet: Graph Soft Sensing Neural Networks—0
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks—0
Greedy online change point detection—0
Green bubbles: a four-stage paradigm for detection and propagation—0
Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection—0
Depression Diagnosis and Drug Response Prediction via Recurrent Neural Networks and Transformers Utilizing EEG Signals—0
Grey-informed neural network for time-series forecasting—0
Bayesian Filtering for Multi-period Mean-Variance Portfolio Selection—0
Dependent Matérn Processes for Multivariate Time Series—0
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs—0
Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies—0
Grouped Convolutional Neural Networks for Multivariate Time Series—0
Grouped self-attention mechanism for a memory-efficient Transformer—0
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting—0
Bayesian Dynamic Factor Models for High-dimensional Matrix-valued Time Series—0
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