AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
IEEE

Exploring Machine Learning Algorithms for Malicious Node Detection Using Cluster-Based Trust Entropy

Abstract: Machine learning has, over the decades, ushered in a dramatic transformation across a range of sectors, including network security. Security experts agree that the potential of machine ...
IEEE

Toward a Standardized Representation for Deep Learning Collective Algorithms

Abstract: The explosion of machine learning (ML) model size has led to its execution on distributed clusters at a large scale. Many works have tried to optimize the process of producing collective ...