ModSSC: Advancing Semi-Supervised Classification with a Modular Approach

This research focuses on semi-supervised classification using a modular framework, suggesting potential for improved performance and flexibility in handling diverse datasets. The modular design of ModSSC implies easier adaptation and integration with other machine learning components.

• •ModSSC is a modular framework, implying a flexible design.
• •The research focuses on semi-supervised classification, a key area of machine learning.
• •The publication on ArXiv suggests the work is in the early stages of peer review or dissemination.