Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism. - Brianna Sierra Chrisman; Maya Varma; Peter Washington 001; Kelley M. Paskov; Nate Tyler Stockham; Jae-Yoon Jung; Dennis P. Wall (BIBM, 2018)

Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder. - Maya Varma; Kelley Marie Paskov; Jae-Yoon Jung; Brianna Sierra Chrisman; Nate Tyler Stockham; Peter Yigitcan Washington; Dennis Paul Wall (PSB, 2019)

Feature Selection and Dimension Reduction of Social Autism Data. - Peter Washington 001; Kelley Marie Paskov; Haik Kalantarian; Nate Tyler Stockham; Catalin Voss; Aaron Kline; Ritik Patnaik; Brianna Sierra Chrisman; Maya Varma; Qandeel Tariq; Kaitlyn Dunlap; Jessey N. Schwartz; et al. (PSB, 2020)

Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value. - Min Woo Sun; Stefano Moretti 001; Kelley M. Paskov; Nate Tyler Stockham; Maya Varma; Brianna Sierra Chrisman; Peter Yigitcan Washington; Jae-Yoon Jung; Dennis P. Wall (BMC Bioinform., 2020)

Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders. - Peter Washington 001; Haik Kalantarian; Jack Kent; Arman Husic; Aaron Kline; Émilie Leblanc; Cathy Hou; Cezmi Mutlu; Kaitlyn Dunlap; Yordan Penev; Maya Varma; Nate Tyler Stockham; et al. (CoRR, 2020)

Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging. - Peter Washington 001; Aaron Kline; Onur Cezmi Mutlu; Émilie Leblanc; Cathy Hou; Nate Tyler Stockham; Kelley M. Paskov; Brianna Sierra Chrisman; Dennis P. Wall (CHI Extended Abstracts, 2021)

Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. - Peter Washington 001; Émilie Leblanc; Kaitlyn Dunlap; Yordan Penev; Maya Varma; Jae-Yoon Jung; Brianna Sierra Chrisman; Min Woo Sun; Nate Tyler Stockham; Kelley Marie Paskov; Haik Kalantarian; Catalin Voss; et al. (PSB, 2021)

Indels in SARS-CoV-2 occur at template-switching hotspots. - Brianna Sierra Chrisman; Kelley M. Paskov; Nate Tyler Stockham; Kevin Tabatabaei; Jae-Yoon Jung; Peter Washington 001; Maya Varma; Min Woo Sun; Sepideh Maleki; Dennis P. Wall (BioData Min., 2021)

Estimating sequencing error rates using families. - Kelley M. Paskov; Jae-Yoon Jung; Brianna Sierra Chrisman; Nate Tyler Stockham; Peter Washington 001; Maya Varma; Min Woo Sun; Dennis P. Wall (BioData Min., 2021)

A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism. - Maya Varma; Kelley M. Paskov; Brianna Sierra Chrisman; Min Woo Sun; Jae-Yoon Jung; Nate Tyler Stockham; Peter Washington 001; Dennis P. Wall (BioData Min., 2021)

Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. - Brianna Sierra Chrisman; Kelley M. Paskov; Nate Tyler Stockham; Jae-Yoon Jung; Maya Varma; Peter Washington 001; Christine A. Tataru; Shoko Iwai; Todd Z. DeSantis; Maude M. David; Dennis P. Wall (BMC Bioinform., 2021)

Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels. - Peter Washington 001; Haik Kalantarian; Jack Kent; Arman Husic; Aaron Kline; Émilie Leblanc; Cathy Hou; Cezmi Mutlu; Kaitlyn Dunlap; Yordan Penev; Nate Tyler Stockham; Brianna Sierra Chrisman; et al. (Cogn. Comput., 2021)

Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels. - Peter Washington 001; Onur Cezmi Mutlu; Émilie Leblanc; Aaron Kline; Cathy Hou; Brianna Sierra Chrisman; Nate Tyler Stockham; Kelley M. Paskov; Catalin Voss; Nick Haber; Dennis P. Wall (CoRR, 2021)

Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images. - Peter Washington 001; Onur Cezmi Mutlu; Aaron Kline; Kelley M. Paskov; Nate Tyler Stockham; Brianna Sierra Chrisman; Nick Deveaux; Mourya Surhabi; Nick Haber; Dennis P. Wall (CoRR, 2022)

An Exploration of Active Learning for Affective Digital Phenotyping. - Peter Washington 001; Cezmi Mutlu; Aaron Kline; Cathy Hou; Kaitlyn Dunlap; Jack Kent; Arman Husic; Nate Tyler Stockham; Brianna Sierra Chrisman; Kelley M. Paskov; Jae-Yoon Jung; Dennis P. Wall (CoRR, 2022)