IEEE

Improving BI-RADS Mammographic Classification With Self-Supervised Vision Transformers and Cascade Learning

Abstract: Accurate and early breast cancer detection is critical for improving patient outcomes. In this study, we propose PatchCascade-ViT, a novel self-supervised Vision Transformer (ViT) framework ...

Magic Memories Spotlights Small Group Classrooms in Early Childhood Education at Norristown Location

NORRISTOWN, PA - March 12, 2026 - PRESSADVANTAGE - Magic Memories underscores the role of small group classrooms in ...

ArchLynk KAI for Product Classification Now Available on the SAP® Store

AI-powered solution automates global trade product classification and improves compliance accuracy SAN JOSE, CA, UNITED ...
CERN Courier

A thousand anomalies hiding in plain sight

Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
Scientific Research Publishing

Kipf, T. and Welling, M. (2016) Semi-Supervised Classification with Graph Convolutional Networks. arXiv: 1609.02907.

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
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

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
Frontiers

Self-supervised learning analysis of multi-FISH labeled cell-type map in thick brain slices

Accurate mapping of the spatial distribution of diverse cell types is essential for understanding the cellular organization of brain. However, the cellular heterogeneity and the substantial cost of ...