Peter Washington
Orcid: 0000-0003-3276-4411Affiliations:
- 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 58 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning.
Algorithms, April, 2024
Challenges in the Differential Classification of Individual Diagnoses from Co-Occurring Autism and ADHD Using Survey Data.
CoRR, 2024
Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder.
CoRR, 2024
Evaluating Large Language Models for Anxiety and Depression Classification using Counseling and Psychotherapy Transcripts.
CoRR, 2024
CoRR, 2024
2023
Personalization of Affective Models to Enable Neuropsychiatric Digital Precision Health Interventions: A Feasibility Study.
CoRR, 2023
CoRR, 2023
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study.
CoRR, 2023
Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data.
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
The categorization of intransitive verbs in Mandarin: Evidence from word2vec modeling and behavioral experiment.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
CoRR, 2021
Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels.
CoRR, 2021
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
A Mobile Game Platform for Improving Social Communication in Children with Autism: A Feasibility Study.
Appl. Clin. Inform., 2021
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
Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.
CoRR, 2020
Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value.
BMC Bioinform., 2020
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
2019
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
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
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
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
2016
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
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
2015
Proceedings of the 17th International Conference on E-health Networking, 2015
2013
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2013