The wireless data drain of users, apps, & platforms. - Ardalan Amiri Sani; Zhiyong Tan; Peter Washington 001; Mira Chen; Sharad Agarwal; Lin Zhong 001; Ming Zhang 005 (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2013)

ScaleMed: A methodology for iterative mHealth clinical trials. - Peter Washington 001; Mayank Kumar 003; Anant Tibrewal; Ashutosh Sabharwal (HealthCom, 2015)

A Wearable Social Interaction Aid for Children with Autism. - Peter Washington 001; Catalin Voss; Nick Haber; Serena Tanaka; Jena Daniels; Carl Feinstein; Terry Winograd; Dennis P. Wall (CHI Extended Abstracts, 2016)

Superpower glass: delivering unobtrusive real-time social cues in wearable systems. - Catalin Voss; Peter Washington 001; Nick Haber; Aaron Kline; Jena Daniels; Azar Fazel; Titas De; Beth McCarthy; Carl Feinstein; Terry Winograd; Dennis P. Wall (UbiComp Adjunct, 2016)

Human Perception of Swarm Robot Motion. - Griffin Dietz; Jane L. E; Peter Washington 001; Lawrence H. Kim; Sean Follmer (CHI Extended Abstracts, 2017)

SuperpowerGlass: A Wearable Aid for the At-Home Therapy of Children with Autism. - Peter Washington 001; Catalin Voss; Aaron Kline; Nick Haber; Jena Daniels; Azar Fazel; Titas De; Carl Feinstein; Terry Winograd; Dennis P. Wall (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

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)

Prototyping Biotic Games and Interactive Experiments with JavaScript. - Peter Washington 001; Karina G. Samuel-Gama; Shirish Goyal; Ashwin Ramaswami; Ingmar H. Riedel-Kruse (CHI Extended Abstracts, 2018)

A Gamified Mobile System for Crowdsourcing Video for Autism Research. - Haik Kalantarian; Peter Washington 001; Jessey N. Schwartz; Jena Daniels; Nick Haber; Dennis P. Wall (ICHI, 2018)

Affordances of Digital, Textile and Living Media for Designing and Learning Biology in K-12 Education. - Yasmin B. Kafai; Mike S. Horn; Joshua A. Danish; Megan Humburg; Xintian Tu; Bria Davis; Chris Georgen; Noel Enyedy; Paulo Blikstein; Tamara L. Clegg; Virginia L. Byrne; Leyla Norooz; et al. (ICLS, 2018)

Feasibility Testing of a Wearable Behavioral Aid for Social Learning in Children with Autism. - Jena Daniels; Nick Haber; Catalin Voss; Jessey N. Schwartz; Serena Tamura; Azar Fazel; Aaron Kline; Peter Washington 001; Jennifer Phillips; Terry Winograd; Carl Feinstein; Dennis P. Wall (Appl. Clin. Inform., 2018)

Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism. - Jena Daniels; Jessey N. Schwartz; Catalin Voss; Nick Haber; Azar Fazel; Aaron Kline; Peter Washington 001; Carl Feinstein; Terry Winograd; Dennis P. Wall (npj Digit. Medicine, 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)

Labeling images with facial emotion and the potential for pediatric healthcare. - Haik Kalantarian; Khaled Jedoui; Peter Washington 001; Qandeel Tariq; Kaiti Dunlap; Jessey N. Schwartz; Dennis P. Wall (Artif. Intell. Medicine, 2019)

Guess What? - Haik Kalantarian; Peter Washington 001; Jessey N. Schwartz; Jena Daniels; Nick Haber; Dennis P. Wall (J. Heal. Informatics Res., 2019)

Superpower Glass. - Aaron Kline; Catalin Voss; Peter Washington 001; Nick Haber; Jessey N. Schwartz; Qandeel Tariq; Terry Winograd; Carl Feinstein; Dennis P. Wall (GetMobile Mob. Comput. Commun., 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)

Designing a Holistic At-Home Learning Aid for Autism. - Catalin Voss; Nick Haber; Peter Washington 001; Aaron Kline; Beth McCarthy; Jena Daniels; Azar Fazel; Titas De; Carl Feinstein; Terry Winograd; Dennis P. Wall (CoRR, 2020)

A Wearable Social Interaction Aid for Children with Autism. - Nick Haber; Catalin Voss; Jena Daniels; Peter Washington 001; Azar Fazel; Aaron Kline; Titas De; Terry Winograd; Carl Feinstein; Dennis P. Wall (CoRR, 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)

A Mobile Game for Automatic Emotion-Labeling of Images. - Haik Kalantarian; Khaled Jedoui; Peter Washington 001; Dennis P. Wall (IEEE Trans. Games, 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)

Achieving Trustworthy Biomedical Data Solutions. - Peter Washington 001; Serena Yeung; Bethany Percha; Nicholas P. Tatonetti; Jan T. Liphardt; Dennis P. Wall (PSB, 2021)

A Mobile Game Platform for Improving Social Communication in Children with Autism: A Feasibility Study. - Yordan Penev; Kaitlyn Dunlap; Arman Husic; Cathy Hou; Peter Washington 001; Émilie Leblanc; Aaron Kline; John Kent; Anthony Ng-Thow-Hing; Bennett Liu; Christopher Harjadi; Meagan Tsou; et al. (Appl. Clin. Inform., 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)

Activity Recognition for Autism Diagnosis. - Anish Lakkapragada; Peter Washington 001; Dennis P. Wall (CoRR, 2021)

Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices. - Agnik Banerjee; Peter Washington 001; Cezmi Mutlu; Aaron Kline; Dennis P. Wall (CoRR, 2021)

TikTok for good: Creating a diverse emotion expression database. - Saimourya Surabhi; Bhavik Shah; Peter Washington 001; Onur Cezmi Mutlu; Émilie Leblanc; Prathamesh Mohite; Arman Husic; Aaron Kline; Kaitlyn Dunlap; Maya McNealis; Bennett Liu; Nick Deveaux; et al. (CVPR Workshops, 2022)

Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach. - Nathan A. Chi; Peter Washington 001; Aaron Kline; Arman Husic; Cathy Hou; Chloe He 001; Kaitlyn Dunlap; Dennis P. Wall (CoRR, 2022)

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)

MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems. - Peter Washington 001; Aayush Nandkeolyar; Sam Yang (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)

The categorization of intransitive verbs in Mandarin: Evidence from word2vec modeling and behavioral experiment. - Kaiying Lin; Peter Washington 001 (CogSci, 2023)

SIM-CNN: Self-supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using Biosignals. - Sunmin Eom; Sunwoo Eom; Peter Washington 001 (ML4MHD, 2023)

Performance Comparison of Binary Machine Learning Classifiers in Identifying Code Comment Types: An Exploratory Study. - Amila Indika; Peter Y. Washington; Anthony Peruma (NLBSE@ICSE, 2023)

A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism. - Peter Washington 001; Dennis P. Wall (CoRR, 2023)

Crowdsourcing in Precision Healthcare: Short Review. - Peter Washington 001 (CoRR, 2023)

Computer Vision Estimation of Emotion Reaction Intensity in the Wild. - Yang Qian; Ali Kargarandehkordi; Onur Cezmi Mutlu; Saimourya Surabhi; Mohammadmahdi Honarmand; Dennis Paul Wall; Peter Washington 001 (CoRR, 2023)

Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data. - Tanvir Islam; Peter Washington 001 (CoRR, 2023)

Self-Supervised Learning for Audio-Based Emotion Recognition. - Peranut Nimitsurachat; Peter Washington 001 (CoRR, 2023)

Personalization of Stress Mobile Sensing using Self-Supervised Learning. - Tanvir Islam; Peter Washington 001 (CoRR, 2023)

Addressing Racial Bias in Facial Emotion Recognition. - Alex Fan; Xingshuo Xiao; Peter Washington 001 (CoRR, 2023)

A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study. - Joe Li; Peter Washington 001 (CoRR, 2023)

An Exploration of Multimodality and Data Augmentation for Dementia Classification. - Kaiying Lin; Peter Washington 001 (CoRR, 2023)

Personalization of Affective Models to Enable Neuropsychiatric Digital Precision Health Interventions: A Feasibility Study. - Ali Kargarandehkordi; Matti Kaisti; Peter Washington 001 (CoRR, 2023)

Challenges in the Differential Classification of Individual Diagnoses from Co-Occurring Autism and ADHD Using Survey Data. - Aditi Jaiswal; Dennis P. Wall; Peter Washington 001 (BHI, 2024)

TikTokActions: A TikTok-Derived Video Dataset for Human Action Recognition. - Yang Qian; Yinan Sun; Ali Kargarandehkordi; Onur Cezmi Mutlu; Saimourya Surabhi; Pingyi Chen; Zain Jabbar; Dennis Paul Wall; Peter Washington 001 (CoRR, 2024)

Evaluating Fair Feature Selection in Machine Learning for Healthcare. - Md Rahat Shahriar Zawad; Peter Washington 001 (CoRR, 2024)

Evaluating Large Language Models for Anxiety and Depression Classification using Counseling and Psychotherapy Transcripts. - Junwei Sun; Siqi Ma; Yiran Fan; Peter Washington 001 (CoRR, 2024)

Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder. - Marie Huynh; Aaron Kline; Saimourya Surabhi; Kaitlyn Dunlap; Onur Cezmi Mutlu; Mohammadmahdi Honarmand; Parnian Azizian; Peter Washington 001; Dennis P. Wall (CoRR, 2024)

Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning. - Armin Soltan; Peter Washington 001 (Algorithms, 2024)