The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
IEEE

Stock Trend Prediction Using a Multivariate Hybrid Attention-Based BiLSTM with 1D Convolution Model

Abstract: The accurate prediction of stock trends in Bangladesh presents unique challenges due to the lack of tailored advanced models capable of capturing the country’s economic intricacies. This ...