Detecting autism spectrum disorder in children using eye tracking and machine learning-Reference-Cited by-同舟云学术

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Detecting autism spectrum disorder in children using eye tracking and machine learning

Published:2022-06-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Fadhel Zainab. M.¹,Hussein Qasim. M.¹

Affiliation:

1. College of Computer Science and Mathematics, Tikrit University,Dept. Computer Science,Tikrit,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9799780/9799803/09800014.pdf?arnumber=9800014

Reference15 articles.

1. Machine Learning Model To Predict Autism Investigating Eye-Tracking Dataset

2. Random and short-term excessive eye movement in children with autism during face-to-face conversation;zhao;Journal of Autism and Developmental Disorders,2021

3. Eye-Tracking in Infants and Young Children at Risk for Autism Spectrum Disorder: A Systematic Review of Visual Stimuli in Experimental Paradigms

4. Real-Time Viola-Jones Face Detection in a Web Browser

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1. Early detection of autism spectrum disorder in children: A review;AIP Conference Proceedings;2024

2. A Multi-Classifier-Based Recommender System for Early Autism Spectrum Disorder Detection using Machine Learning;Healthcare Analytics;2023-12

3. Diagnosing the level of aggression in children with autism spectrum disorder using mathematical equations;4TH INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2022);2023

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