Open access
Jun 2026
A Multi-Model Ensemble Approach Using Deep and Traditional Learning for Autism Spectrum Disorder Classification
The findings verify that incorporating deep and traditional learning models in an ensemble framework can significantly enhance the classification of ASD, offering a dependable and scalable computational model to aid clinical specialists in the initial diagnosis of ASD.
Dhafar Fakhry Hasan, Maha A. Abdul-Jabar, Mawadah Mohammed Suliman et al.
· Journal of Soft Computing an... · 0 citations