Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...

Abstract: Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ...

Lloyd’s Register (LR) and Latsco have successfully completed a proof-of-concept for a new standard in digital class assurance with data-driven surveys. This collaboration aims to demonstrate how ...

Abstract: Feature selection in a traditional binary classification algorithm is always used in the stage of dataset preprocessing, which makes the obtained features not necessarily the best ones for ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

It’s not just about chromosomes. Or reproductive cells. Or any other binary metric. Many genetic, environmental and developmental variations can produce what are thought of as masculine and feminine ...