The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...

AI systems label and score content before ranking. Annotation determines how you’re understood — and whether you compete at all.

New amendment shifts India’s transgender framework from constitutional dignity to bureaucratic governance, raising concerns ...

Prediction markets are moving from niche instruments to embedded components of the broader financial system. As they begin to sit alongside equities, FX, ...

Abstract: Researchers often approach malware detection as a binary classification problem. However, evidence indicates that malware can belong to multiple families simultaneously, and malicious files ...

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 = ...

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...

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: Class imbalance poses a critical challenge in binary classification problems, particularly when rare but significant events are underrepresented in the training set. While traditional ...