Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
IEEE

Robust Thresholding Strategies for Highly Imbalanced and Noisy Data

Abstract: Many studies have shown that non-default decision thresholds are required to maximize classification performance on highly imbalanced data sets. Thresholding strategies include using a ...
IEEE

Remaining Useful Life Prediction for Bearings Using Multiscale Temporal-Enhanced Deformable Attention With Soft Thresholding

Abstract: The run-to-failure monitoring data of bearings can be utilized for modeling and analysis to predict their remaining useful life (RUL). Such data typically contain degradation features across ...
GitHub

Fast Atomic Norm Soft Thresholding (FastAST)

A fast primal-dual interior point method for line spectral estimation via atomic norm soft thresholding. Implements the method of [1] for line spectral estimation via atomic norm minimization. If you ...