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?

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 ...

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

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) ...

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

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