Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review
K Rezaee - Computer Science Review, 2025 - Elsevier
Abstract Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition
characterized by social communication challenges, repetitive behaviors, and restricted …
characterized by social communication challenges, repetitive behaviors, and restricted …
The emergence of artificial intelligence in autism spectrum disorder research: A review of neuro imaging and behavioral applications
ID KB, DRV PM - Computer Science Review, 2025 - Elsevier
The quest to find reliable biomarkers in autism spectrum disorders (ASD) is an ongoing
endeavour to identify both underlying causes and measurable indicators of this …
endeavour to identify both underlying causes and measurable indicators of this …
Towards finding the lost generation of autistic adults: A deep and multi-view learning approach on social media
The detection of mental disorders through social media has received significant attention.
With the growing prevalence of Autism Spectrum Disorder (ASD) and the inherent difficulties …
With the growing prevalence of Autism Spectrum Disorder (ASD) and the inherent difficulties …
[HTML][HTML] Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review
Abstract Background Human Emotion Recognition (HER) has been a popular field of study
in the past years. Despite the great progresses made so far, relatively little attention has …
in the past years. Despite the great progresses made so far, relatively little attention has …
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? Deep learning has
evolved from supervised and unsupervised to self-supervised approaches. In this paper, we …
evolved from supervised and unsupervised to self-supervised approaches. In this paper, we …
Encoding Kinematic and Temporal Gait Data in an Appearance-Based Feature for the Automatic Classification of Autism Spectrum Disorder
B Henderson, P Yogarajah, B Gardiner… - IEEE …, 2023 - ieeexplore.ieee.org
In appearance-based gait analysis studies, Gait Energy Images (GEI) have been shown to
be an effective tool for human identification and gait pathology detection. In addition, model …
be an effective tool for human identification and gait pathology detection. In addition, model …
Toward Label-Efficient Emotion and Sentiment Analysis This article introduces label-efficient emotion and sentiment analysis from the computational perspective …
Emotion and sentiment play a central role in various human activities, such as perception,
decision-making, social interaction, and logical reasoning. Develo** artificial emotional …
decision-making, social interaction, and logical reasoning. Develo** artificial emotional …
AI-assisted facial analysis in healthcare: From disease detection to comprehensive management
Medical conditions and systemic diseases often manifest as distinct facial characteristics,
making identification of these unique features crucial for disease screening. However …
making identification of these unique features crucial for disease screening. However …
Can micro-expressions be used as a biomarker for autism spectrum disorder?
Introduction Early and accurate diagnosis of autism spectrum disorder (ASD) is crucial for
effective intervention, yet it remains a significant challenge due to its complexity and …
effective intervention, yet it remains a significant challenge due to its complexity and …
Towards child-inclusive clinical video understanding for autism spectrum disorder
Clinical videos in the context of Autism Spectrum Disorder are often long-form interactions
between children and caregivers/clinical professionals, encompassing complex verbal and …
between children and caregivers/clinical professionals, encompassing complex verbal and …