A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities-Reference-Cited by-同舟云学术

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A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
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Author:

Lopez-Martinez J.¹,Checa Purificación²,Soto-Hidalgo José Manuel³,Triguero Isaac⁴,Fernández Alberto⁴

Affiliation:

1. University of Granada,Department of Computer Science and Artificial Intelligence,Spain

2. University of Granada,Dept. of Educational and Evolutive Psychology,Spain

3. University of Granada,Dept. of Comput. Eng., Automation and Robotics,Spain

4. DaSCI Andalusian Institute in Data Science and Computational Intelligence

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650749.pdf?arnumber=10650749

Reference41 articles.

1. Diagnostic and Statistical Manual of Mental Disorders

2. Prevalence of Autism Spectrum Disorder and Co-morbidities in Children and Adolescents: A Systematic Literature Review

3. Early Intervention for Children With Autism Spectrum Disorder Under 3 Years of Age: Recommendations for Practice and Research

4. Executive Summary: Identification, Evaluation, and Management of Children With Autism Spectrum Disorder

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