eWeek

8 Best AI Certifications to Boost Your Career in 2026

Explore the top AI certifications to boost your career and validate your AI skills. Find the best programs in machine ...
IEEE

Semantic Image Clustering with Deep Learning

Abstract: Image clustering is a crucial but open and challenging task in machine learning and computer vision. Deep image clustering methods have made significant advancements in largescale and ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...
GitHub

Steganalysis with Deep Learning

Image steganalysis is the binary classification problem of deciding whether an image carries a hidden message embedded by a steganographic algorithm. This repository contains the implementation, ...
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
IEEE

Automated Classification of User Exercise Poses in Virtual Reality Using Machine Learning-Based Human Pose Estimation

Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...
GitHub

CIFAR-100 Training Example

This project provides a concise PyTorch training example using the CIFAR-100 image classification task, designed to help beginners quickly get started. It also offers some flexible adjustment and ...