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Kaitlyn Dunlap

Showing results (1-10 of 25) with videos related to

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Algorithms|June 30, 2026
Multimodal LLM vs. Human-Measured Features for AI Predictions of Autism in Home VideosParnian Azizian, Mohammadmahdi Honarmand, Aditi Jaiswal, et al.
Scientific Reports|December 5, 2020
Feature replacement methods enable reliable home video analysis for machine learning detection of autismEmilie Leblanc, Peter Washington, Maya Varma, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Abstention and Threshold Identification for Uncertainty Management in Clinical Decision Tools: A Case Study using Human-In-The-Loop Pediatric Autism ClassifiersAiden Ko, Aaron Kline, Kaitlyn Dunlap, et al.
Journal of Medical Internet Research|July 12, 2019
Identification and Quantification of Gaps in Access to Autism Resources in the United States: An Infodemiological StudyMichael Ning, Jena Daniels, Jessey Schwartz, et al.
Genome Research|October 25, 2023
Identifying crossovers and shared genetic material in whole genome sequencing data from familiesKelley Paskov, Brianna Chrisman, Nathaniel Stockham, et al.
JMIR Pediatrics and Parenting|April 18, 2022
Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison StudyNathan A Chi, Peter Washington, Aaron Kline, et al.
Intelligence-Based Medicine|May 31, 2022
Crowd annotations can approximate clinical autism impressions from short home videos with privacy protectionsPeter Washington, Brianna Chrisman, Emilie Leblanc, et al.
Intelligence-Based Medicine|August 29, 2022
Machine learning models using mobile game play accurately classify children with autismNicholas Deveau, Peter Washington, Emilie Leblanc, et al.
Algorithms|June 30, 2026
Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum DisorderMarie Amale Huynh, Aaron Kline, Saimourya Surabhi, et al.
JMIR Mental Health|April 3, 2020
The Performance of Emotion Classifiers for Children With Parent-Reported Autism: Quantitative Feasibility StudyHaik Kalantarian, Khaled Jedoui, Kaitlyn Dunlap, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Algorithms|June 30, 2026
Multimodal LLM vs. Human-Measured Features for AI Predictions of Autism in Home VideosParnian Azizian, Mohammadmahdi Honarmand, Aditi Jaiswal, et al.
Scientific Reports|December 5, 2020
Feature replacement methods enable reliable home video analysis for machine learning detection of autismEmilie Leblanc, Peter Washington, Maya Varma, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Abstention and Threshold Identification for Uncertainty Management in Clinical Decision Tools: A Case Study using Human-In-The-Loop Pediatric Autism ClassifiersAiden Ko, Aaron Kline, Kaitlyn Dunlap, et al.
Journal of Medical Internet Research|July 12, 2019
Identification and Quantification of Gaps in Access to Autism Resources in the United States: An Infodemiological StudyMichael Ning, Jena Daniels, Jessey Schwartz, et al.
Genome Research|October 25, 2023
Identifying crossovers and shared genetic material in whole genome sequencing data from familiesKelley Paskov, Brianna Chrisman, Nathaniel Stockham, et al.
JMIR Pediatrics and Parenting|April 18, 2022
Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison StudyNathan A Chi, Peter Washington, Aaron Kline, et al.
Intelligence-Based Medicine|May 31, 2022
Crowd annotations can approximate clinical autism impressions from short home videos with privacy protectionsPeter Washington, Brianna Chrisman, Emilie Leblanc, et al.
Intelligence-Based Medicine|August 29, 2022
Machine learning models using mobile game play accurately classify children with autismNicholas Deveau, Peter Washington, Emilie Leblanc, et al.
Algorithms|June 30, 2026
Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum DisorderMarie Amale Huynh, Aaron Kline, Saimourya Surabhi, et al.
JMIR Mental Health|April 3, 2020
The Performance of Emotion Classifiers for Children With Parent-Reported Autism: Quantitative Feasibility StudyHaik Kalantarian, Khaled Jedoui, Kaitlyn Dunlap, et al.
Pageof 3