Proposing a System Level Machine Learning Hybrid Architecture and Approach for a Comprehensive Autism Spectrum Disorder Diagnosis

no code implementations • 18 Sep 2021 • Ryan Liu, Spencer He

Finally, we implemented our hybrid model by incorporating different features of the Support Vector Machine and the DenseNet into one model.

Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos

no code implementations • 2 Apr 2021 • Spencer He, Ryan Liu

Our novel architecture is able to effectively automate ASD pre-screening with a maximum weighted accuracy of 84%.