Making machine learning models trustworthy is essential as use of them becomes ubiquitous across society, writes Dr Adrian Byrne of CeADAR.

When it comes to machine learning, what do white-box models offer in comparison to their black-box counterparts?

Discover what black box models are, their applications in finance and investing, and examples of how they drive ...

A Nigerian and PhD student in Applied Mathematics at Mississippi State University, Deborah Okoli, has built an easy-to-understand machine learning system ...

Hydrological prediction is crucial for water resource management, flood/drought prevention, and climate adaptation. While traditional physics-based ...

Jaeckle and colleagues assessed the performance of machine learning models to diagnose celiac disease based on duodenal biopsies. 2. The machine learning models achieved accuracy above 90% and similar ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...