Brianna Sierra Chrisman
Orcid: 0000-0002-7157-607X
According to our database1,
Brianna Sierra Chrisman
authored at least 15 papers
between 2018 and 2022.
Collaborative distances:
Collaborative distances:
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Bibliography
2022
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images.
CoRR, 2022
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
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
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
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