MTLComb is a novel multi-task learning algorithm that addresses the challenges of joint feature selection across mixed regression and classification tasks by employing a…
Browsing: Multi-Task Learning
This article discusses the use of a multi-task deep learning model to detect multiple sclerosis (MS) and classify left ventricular ejection fraction (LVEF) using…
This paper examines the challenges associated with AI-driven diagnostic tools for Chest X-rays (CXRs) transmitted through Smart Phones. It reveals that existing Deep Learning…