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Peter Washington

Showing results (41-50 of 72) with videos related to

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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.
JMIR Research Protocols|February 7, 2024
Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment StudyYinan Sun, Ali Kargarandehkordi, Christopher Slade, 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.
Genome Research|October 25, 2023
Localizing unmapped sequences with families to validate the Telomere-to-Telomere assembly and identify new hotspots for genetic diversityBrianna Chrisman, Chloe He, Jae-Yoon Jung, 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.
Biodata Mining|April 24, 2021
Estimating sequencing error rates using familiesKelley Paskov, Jae-Yoon Jung, Brianna Chrisman, et al.
AI (Basel, Switzerland)|May 12, 2025
Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive SensingShizhe Li, Chunzhi Fan, Ali Kargarandehkordi, 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 8

Showing results (41-50 of 72) with videos related to

Sort By:
Pageof 8
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.
JMIR Research Protocols|February 7, 2024
Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment StudyYinan Sun, Ali Kargarandehkordi, Christopher Slade, 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.
Genome Research|October 25, 2023
Localizing unmapped sequences with families to validate the Telomere-to-Telomere assembly and identify new hotspots for genetic diversityBrianna Chrisman, Chloe He, Jae-Yoon Jung, 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.
Biodata Mining|April 24, 2021
Estimating sequencing error rates using familiesKelley Paskov, Jae-Yoon Jung, Brianna Chrisman, et al.
AI (Basel, Switzerland)|May 12, 2025
Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive SensingShizhe Li, Chunzhi Fan, Ali Kargarandehkordi, 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 8