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Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct Features
Traditional diagnostic methods not only require intensive human effort but also often result in delayed interventions due to their lack of speed and specificity.
Exploring Speech Pattern Disorders in Autism using Machine Learning
Diagnosing autism spectrum disorder (ASD) by identifying abnormal speech patterns from examiner-patient dialogues presents significant challenges due to the subtle and diverse manifestations of speech-related symptoms in affected individuals.
UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery
Experimental results on the re-annotated Place Pulse 2. 0 dataset demonstrate promising detection performance of the proposed method, with an accuracy of 79. 9%.
Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis
How can we teach a computer to recognize 10, 000 different actions?
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