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

J. Lopez-Martinez,Purificación Checa,José Manuel Soto-Hidalgo,Isaac Triguero, Alberto Fernández

IJCNN(2024)

Cited 0|Views6
Key words
Machine Learning,Eye-tracking Approach,Early Diagnosis,Wearable Devices,Multimodal Approach,Manual Method,Autism Spectrum Disorder Diagnosis,Image Preprocessing,Artificial Intelligence Applications,Neural Network,Social Interaction,Learning Algorithms,Convolutional Neural Network,Image Features,Eye Movements,Performance Metrics,Machine Learning Techniques,Data Augmentation,Social Communication,Cerebral Blood Flow,Eye-tracking Data,Medical Context,Repetitive Behaviors,Artificial Intelligence Systems,Convolutional Neural Network Model,Artificial Intelligence Models,Histogram Of Oriented Gradients,Individual Understanding,Autism Diagnostic Observation Schedule,Fixed Point
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