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 ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Arizona Daily Sun

Study from Lowell Observatory researchers uses machine learning to classify meteors

Researchers used more than 28,000 meteor events recorded by the Lowell Observatory Cameras for All-Sky Meteor Surveillance ...
IEEE

A Unified Self-Supervised Learning Framework for Hyperspectral Image Classification

Abstract: Self-supervised learning (SSL) methods, including contrastive learning (CL) and masked image modeling (MIM), have shown commendable performance on various remote sensing visual tasks.
Nature

Collaborative representation and confidence-driven semi-supervised learning for hyperspectral image classification

Hyperspectral image (HSI) classification faces challenges in diverse scenarios due to spectral-spatial complexity and class imbalance. Existing methods lack generalizability. This paper presents a ...
Nature

Self-supervised learning for data augmentation in histopathology image segmentation

In recent years, computational pathology has undergone an unprecedented development process due to novel trends in digital imaging technologies and deep learning mechanisms 1. The analysis 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 ...
LinkedIn

What is Supervised and Unsupervised Learning? A Beginner’s Guide

What is supervised and unsupervised learning: Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries, from healthcare to finance. But have you ever wondered how machines ...
LinkedIn

Supervised and Unsupervised learning

Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Supervised learning and unsupervised learning are two main types of ...
The New York Times

Paris Paralympics 2024: How the classification system works

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...