Background Comparative evidence on the diagnostic yield of endobronchial ultrasound (EBUS)-guided sampling techniques for ...
An international analysis combining brain imaging data from multiple independent studies has identified a common pattern in ...
Abstract: This study introduces a novel approach that integrates dynamic Bayesian network with attention based spatio-temporal graph convolutional network to forecast railway train delays, capturing ...
Dr. Bayes's research and teaching interests center on the political behavior and political psychology of everyday Americans, and particularly, how they process scientific information in order to form ...
Abstract: Bayesian optimization (BO) is a powerful surrogate-assisted algorithm for solving expensive black-box optimization problems. While BO was developed for centralized optimization, the ...