A pilot study reports up to 85 percent training accuracy for classifying gaze-derived images from autistic versus typically developing children, but provides no test-set evaluation.
Enhancing autism detection through gaze analysis using eye tracking sensors and data attribution with distillation in deep neural networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Exploring Image Transforms derived from Eye Gaze Variables for Progressive Autism Diagnosis
A pilot study reports up to 85 percent training accuracy for classifying gaze-derived images from autistic versus typically developing children, but provides no test-set evaluation.