Search Results for author:
Found 1 papers, 0 papers with code
Comparing Feature Engineering and End-to-End Deep Learning for Autism Spectrum Disorder Assessment based on Fullbody-Tracking
Our aim is to assess both approaches across various kinematic tasks to measure the efficacy of commonly used features in ASD assessment, while comparing them to end-to-end models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
