Frontiers

Advancing Deep Learning Frameworks for Enhanced Cervical Cancer Diagnosis, Staging and Treatment

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
EurekAlert!

A review on multi-view learning

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...
IEEE

FedSSL-NTC: A Robust Federated Self-Supervised Learning Framework for Network Traffic Classification Under Privacy Constraints

Abstract: Network traffic classification (NTC) plays an essential role in managing, securing, and optimizing networks. Supervised learning methods face challenges such as label scarcity. Given that ...
IEEE

Network Traffic Classification Using Self-Supervised Learning and Confident Learning

Abstract: Network traffic classification (NTC) is vital for efficient network management, security, and performance optimization, particularly with 5G/6G technologies. Traditional methods, such as ...
Frontiers

Weight-aware semi-supervised self-ensembling framework for interior decoration style classification

Automatic classification of interior decoration styles has great potential to guide and streamline the design process. Despite recent advancements, it remains challenging to construct an accurate ...
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

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 ...
sei.cmu

Practical Supervised Machine Learning Classification of Highly Imbalanced Text

In this paper, Austin Whisnant describes a machine learning model used to build a corpus of insider threat data to support insider threat research. As the insider threat problem grows and becomes more ...
maine.gov

Supervised Lenders

Starting September 1, 2025, the Bureau will begin receiving new and converted Electronic Surety Bonds (ESB) through NMLS for supervised lender licensees. All businesses with existing Maine supervised ...