Peter Washington

Orcid: 0000-0003-3276-4411

Affiliations:
  • University of Hawai'i at Manoa, HI, USA
  • Stanford University, Department of Bioengineering, Palo Alto, CA, USA (former)


According to our database1, Peter Washington authored at least 53 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Evaluating Fair Feature Selection in Machine Learning for Healthcare.
CoRR, 2024

TikTokActions: A TikTok-Derived Video Dataset for Human Action Recognition.
CoRR, 2024

2023
Personalization of Affective Models to Enable Neuropsychiatric Digital Precision Health Interventions: A Feasibility Study.
CoRR, 2023

An Exploration of Multimodality and Data Augmentation for Dementia Classification.
CoRR, 2023

A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study.
CoRR, 2023

Addressing Racial Bias in Facial Emotion Recognition.
CoRR, 2023

Personalization of Stress Mobile Sensing using Self-Supervised Learning.
CoRR, 2023

Self-Supervised Learning for Audio-Based Emotion Recognition.
CoRR, 2023

Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data.
CoRR, 2023

Computer Vision Estimation of Emotion Reaction Intensity in the Wild.
CoRR, 2023

Crowdsourcing in Precision Healthcare: Short Review.
CoRR, 2023

A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism.
CoRR, 2023

Performance Comparison of Binary Machine Learning Classifiers in Identifying Code Comment Types: An Exploratory Study.
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

SIM-CNN: Self-supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using Biosignals.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

2022
An Exploration of Active Learning for Affective Digital Phenotyping.
CoRR, 2022

MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems.
CoRR, 2022

Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images.
CoRR, 2022

Classifying Autism from Crowdsourced Semi-Structured Speech Recordings: A Machine Learning Approach.
CoRR, 2022

TikTok for good: Creating a diverse emotion expression database.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices.
CoRR, 2021

Activity Recognition for Autism Diagnosis.
CoRR, 2021

Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels.
CoRR, 2021

Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels.
Cogn. Comput., 2021

Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers.
BMC Bioinform., 2021

A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism.
BioData Min., 2021

Estimating sequencing error rates using families.
BioData Min., 2021

Indels in SARS-CoV-2 occur at template-switching hotspots.
BioData Min., 2021

A Mobile Game Platform for Improving Social Communication in Children with Autism: A Feasibility Study.
Appl. Clin. Inform., 2021

Achieving Trustworthy Biomedical Data Solutions.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
A Mobile Game for Automatic Emotion-Labeling of Images.
IEEE Trans. Games, 2020

Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.
CoRR, 2020

A Wearable Social Interaction Aid for Children with Autism.
CoRR, 2020

Designing a Holistic At-Home Learning Aid for Autism.
CoRR, 2020

Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value.
BMC Bioinform., 2020

Feature Selection and Dimension Reduction of Social Autism Data.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019
Superpower Glass.
GetMobile Mob. Comput. Commun., 2019

Guess What?
J. Heal. Informatics Res., 2019

Labeling images with facial emotion and the potential for pediatric healthcare.
Artif. Intell. Medicine, 2019

Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018
Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism.
npj Digit. Medicine, 2018

Feasibility Testing of a Wearable Behavioral Aid for Social Learning in Children with Autism.
Appl. Clin. Inform., 2018

Affordances of Digital, Textile and Living Media for Designing and Learning Biology in K-12 Education.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

A Gamified Mobile System for Crowdsourcing Video for Autism Research.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Prototyping Biotic Games and Interactive Experiments with JavaScript.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
SuperpowerGlass: A Wearable Aid for the At-Home Therapy of Children with Autism.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Human Perception of Swarm Robot Motion.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
Superpower glass: delivering unobtrusive real-time social cues in wearable systems.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

A Wearable Social Interaction Aid for Children with Autism.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
ScaleMed: A methodology for iterative mHealth clinical trials.
Proceedings of the 17th International Conference on E-health Networking, 2015

2013
The wireless data drain of users, apps, & platforms.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2013


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