IEEE

Tracking Dynamic Facial Function in Facial Palsy Using Machine Learning Algorithms

Abstract: This research introduces a machine learning-based approach for assessing dynamic facial function in facial palsy patients through objective iris movement tracking. Integrated with a remote ...
Duke Pratt School of Engineering

Mapping Behavior with Machine Learning

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

Certificated Actor-Critic: Hierarchical Reinforcement Learning with Control Barrier Functions for Safe Navigation

Abstract: Control Barrier Functions (CBFs) have emerged as a prominent approach to designing safe navigation systems of robots. Despite their popularity, current CBF-based methods exhibit some ...