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 considerable interest among researchers. The debate around the use of machine ...
IEEE

CLF-RL: Control Lyapunov Function Guided Reinforcement Learning

Abstract: Reinforcement learning (RL) has shown promise in generating robust locomotion policies for bipedal robots, but often suffers from tedious reward design and sensitivity to poorly shaped ...