Laura J. Brattain

This study evaluates two time-series foundation models for cognitive workload classification from eye-tracking data, showing better generalization to unseen individuals than task-specific models.

This paper compares methods for stress detection using EDA signals, showing that domain-specific models outperform foundation models in classification performance.

This study compares two diffusion models for generating synthetic MRI images to improve Alzheimer's disease classification, achieving higher precision and recall than baseline models.