EurekAlert!

Insilico Medicine launches science MMAI gym to train frontier LLMs into pharmaceutical-grade scientific engines

New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...
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 ...
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 ...
Forbes

Unsupervised Learning: The Revolution Powering Financial Insights

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. As machine learning continues to reshape the financial ...