Comparing automated and non‐automated machine learning for autism spectrum disorders classification using facial images-Reference-Cited by-同舟云学术

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Comparing automated and non‐automated machine learning for autism spectrum disorders classification using facial images

Published:2022-03-23 Issue:4 Volume:44 Page:613-623
ISSN:1225-6463
Container-title:ETRI Journal
language:en
Short-container-title:ETRI Journal

Author:

Elshoky Basma Ramdan Gamal¹²^ORCID,Younis Eman M. G.³^ORCID,Ali Abdelmgeid Amin²^ORCID,Ibrahim Osman Ali Sadek²^ORCID

Affiliation:

1. Information Technology Section, Korean Egyptian Faculty for Industry and Energy Technology Beni Suef Technological University Beni Suef Egypt

2. Computer Science Department, Faculty of Science Minia University Minia Egypt

3. Department of Information Systems, Faculty of Computers and Information Minia University Minia Egypt

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.2021-0097

Reference32 articles.

1. Autism Spectrum Disorders at 20 and 42 Months of Age: Stability of Clinical and ADI‐R Diagnosis

2. Affective Body Expression Perception and Recognition: A Survey

3. Increased facial asymmetry in autism spectrum conditions is associated with symptom presentation

4. Pattern Recognition and Machine Learning

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