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Journal Articles
- 2021
[j6]Brianna Sierra Chrisman
, Kelley M. Paskov, Nate Tyler Stockham, Kevin Tabatabaei, Jae-Yoon Jung, Peter Washington, Maya Varma, Min Woo Sun, Sepideh Maleki, Dennis P. Wall:
Indels in SARS-CoV-2 occur at template-switching hotspots. BioData Min. 14(1): 20 (2021)- [j5]Kelley M. Paskov, Jae-Yoon Jung, Brianna Sierra Chrisman, Nate Tyler Stockham, Peter Washington, Maya Varma, Min Woo Sun, Dennis P. Wall:
Estimating sequencing error rates using families. BioData Min. 14(1): 27 (2021) - [j4]Maya Varma, Kelley M. Paskov, Brianna Sierra Chrisman, Min Woo Sun, Jae-Yoon Jung, Nate Tyler Stockham, Peter Washington, Dennis P. Wall:
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism. BioData Min. 14(1) (2021) - [j3]Brianna Sierra Chrisman, Kelley M. Paskov, Nate Tyler Stockham, Jae-Yoon Jung, Maya Varma, Peter Washington, Christine A. Tataru, Shoko Iwai, Todd Z. DeSantis, Maude M. David, Dennis P. Wall:
Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. BMC Bioinform. 22(1): 509 (2021) - [j2]Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley Marie Paskov, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall:
Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels. Cogn. Comput. 13(5): 1363-1373 (2021) - 2020
- [j1]Min Woo Sun, Stefano Moretti, Kelley M. Paskov, Nate Tyler Stockham, Maya Varma, Brianna Sierra Chrisman, Peter Yigitcan Washington, Jae-Yoon Jung, Dennis P. Wall:
Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value. BMC Bioinform. 21(1): 356 (2020)
Conference and Workshop Papers
- 2021
- [c5]Peter Washington, Aaron Kline, Onur Cezmi Mutlu, Émilie Leblanc, Cathy Hou, Nate Tyler Stockham, Kelley M. Paskov, Brianna Sierra Chrisman, Dennis P. Wall:
Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging. CHI Extended Abstracts 2021: 239:1-239:7 - [c4]Peter Washington, 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, Nick Haber, Dennis P. Wall:
Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. PSB 2021 - 2020
- [c3]Peter Washington, 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, Nick Haber, Dennis P. Wall:
Feature Selection and Dimension Reduction of Social Autism Data. PSB 2020: 707-718 - 2019
- [c2]Maya Varma, Kelley Marie Paskov, Jae-Yoon Jung, Brianna Sierra Chrisman, Nate Tyler Stockham, Peter Yigitcan Washington, Dennis Paul Wall:
Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder. PSB 2019: 260-271 - 2018
- [c1]Brianna Sierra Chrisman, Maya Varma, Peter Washington, Kelley M. Paskov, Nate Tyler Stockham, Jae-Yoon Jung, Dennis P. Wall:
Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism. BIBM 2018: 1470-1477
Informal and Other Publications
- 2022
- [i5]Peter Washington, Onur Cezmi Mutlu, Aaron Kline, Kelley M. Paskov, Nate Tyler Stockham, Brianna Sierra Chrisman, Nick Deveaux, Mourya Surhabi, Nick Haber, Dennis P. Wall:
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images. CoRR abs/2201.11197 (2022) - [i4]Peter Washington, 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:
An Exploration of Active Learning for Affective Digital Phenotyping. CoRR abs/2204.01915 (2022) - 2021
- [i3]Peter Washington, 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:
Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels. CoRR abs/2101.03477 (2021) - [i2]Peter Washington, Aaron Kline, Onur Cezmi Mutlu, Émilie Leblanc, Cathy Hou, Nate Tyler Stockham, Kelley M. Paskov, Brianna Sierra Chrisman, Dennis P. Wall:
Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging. CoRR abs/2101.03478 (2021) - 2020
- [i1]Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall:
Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders. CoRR abs/2012.08678 (2020)
Coauthor Index
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