3 citations · 4 across the 5 of their papers we have counts for
5 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…
Adaptive data selection improves wearable prediction under low baseline performance
Ali Kargarandehkordi
Adaptive sensing strategies that selectively sample data are increasingly used in wearable health systems to improve prediction performance under limited data budgets, yet their be…
Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos
Yang Qian, Yinan Sun, Ali Kargarandehkordi +7
The increasing variety and quantity of tagged multimedia content on a variety of online platforms offer a unique opportunity to advance the field of human action recognition. In th…
Personalization of Affective Models to Enable Neuropsychiatric Digital Precision Health Interventions: A Feasibility Study
Ali Kargarandehkordi, Matti Kaisti, Peter Washington
Mobile digital therapeutics for autism spectrum disorder (ASD) often target emotion recognition and evocation, which is a challenge for children with ASD. While such mobile applica…
Computer Vision Estimation of Emotion Reaction Intensity in the Wild
Yang Qian, Ali Kargarandehkordi, Onur Cezmi Mutlu +4
Emotions play an essential role in human communication. Developing computer vision models for automatic recognition of emotion expression can aid in a variety of domains, including…