55 citations · 92 across the 12 of their papers we have counts for
13 papers
Fine-tuning a multimodal large language model for clinician-grade autism behavioral scoring from short home videos
Mohammadmahdi Honarmand, Parnian Azizian, Aaron Kline +9
Autism spectrum disorder (ASD) affects 1 in 31 US children, yet median age at diagnosis exceeds four years. Artificial intelligence pipelines that provide quantified diagnosis usin…
Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder
Marie Huynh, Aaron Kline, Saimourya Surabhi +6
Early detection of autism, a neurodevelopmental disorder marked by social communication challenges, is crucial for timely intervention. Recent advancements have utilized naturalist…
An Exploration of Active Learning for Affective Digital Phenotyping
Peter Washington, Cezmi Mutlu, Aaron Kline +9
Some of the most severe bottlenecks preventing widespread development of machine learning models for human behavior include a dearth of labeled training data and difficulty of acqu…
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images
Peter Washington, Cezmi Onur Mutlu, Aaron Kline +7
Computer Vision (CV) classifiers which distinguish and detect nonverbal social human behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the b…
Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach
Nathan A. Chi, Peter Washington, Aaron Kline +5
Autism spectrum disorder (ASD) is a neurodevelopmental disorder which results in altered behavior, social development, and communication patterns. In past years, autism prevalence…
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices
Agnik Banerjee, Peter Washington, Cezmi Mutlu +2
Implementing automated emotion recognition on mobile devices could provide an accessible diagnostic and therapeutic tool for those who struggle to recognize emotion, including chil…