BIOENGINEER

Super-resolution GAN and swarm-optimized transfer learning sharpen Alzheimer’s MRI classification

A new deep learning framework that pairs super-resolution image enhancement with swarm-optimized transfer learning classified ...

[Episode 02] What is Machine Learning Adjusting?

Episode 1 Understanding AI from its MechanismsSeries "Introduction to AI through Mechanisms" Full Episode GuideLast time, we ...

Is Contrast Agent Information Necessary for Machine Learning?

Reading the PCCT Liver Lesion Radiomics StudyIn my previous article, I posed the question of whether we could consider ...
European Medical Journal

Machine Learning Shows Promise for Alzheimer’s Classification

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...
BIOENGINEER

Research report: Artificial intelligence-based analysis of digital media engagement and user sentiment using machine learning techniques

A new leakage-controlled machine learning framework achieves strong sentiment classification on social media data while ...
Boston University

Online Master of Science in Applied Data Analytics, AI & Machine Learning Concentration

The MS in Applied Data Analytics concentration in AI & Machine Learning provides an in-depth study of cutting-edge topics including neural networks, generative AI, automated reasoning, AI security, ...
Boston University

Applied AI & Machine Learning Graduate Certificate

The Graduate Certificate in Applied AI & Machine Learning at Boston University’s Metropolitan College (MET) provides intensive exploration of the theory and practice of neural nets, generative AI, ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...