IEEE

Mitigating Poisoning Attacks in Federated Learning Through Deep One-Class Classification

Abstract: Federated learning (FL) enables clients to learn a machine learning model collaboratively without sharing their private local data to the server. However, due to its distributed structure, ...
IEEE

Gender Classification in Panoramic Dental X-Rays using few-shot learning and Ensemble models

Abstract: Integrating advanced technologies has revolutionized dental practice, transforming patient diagnosis and treatment. Radiographic examinations remain one of the most essential tools for ...
Frontiers

Development of a machine learning-based risk prediction model for early-stage pneumoconiosis: a retrospective study

Background: The diagnosis of occupational pneumoconiosis requires more accurate predictive models. The purpose of this study is to screen blood markers associated with early pneumoconiosis development ...
Frontiers

Machine learning-based prediction of occupational exposure risks among oral healthcare workers

Objective: This study aims to identify the key risk factors for occupational exposure among oral healthcare workers and develop a predictive model using machine learning algorithms to lay the ...