Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Xinyuan Zheng

Dados Biográficos

ID7960112
NOMEXinyuan Zheng
PRENOMESXinyuan
SOBRENOMEZheng
ASSINATURAZHENG X
AFILIAÇÕESNew York State Office of Mental Health
ORCID0009-0003-2808-5907
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2024
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • Explaining deep learning-based representations of resting state functional connectivity data

    Open Access•Young-Geun Kim, Orren Ravid et al.•ARTICLE•Frontiers in Psychiatry•2024

    This study introduced latent contribution scores to interpret nonlinear patterns identified by VAEs. These scores effectively capture changes in each observed rsFC feature as the estimated latent representation changes, enabling an explainable deep learning model that better understands the underlying neural mechanisms of ASD

Sem obras proeminentes nesta página.

  • Explaining deep learning-based representations of resting state functional connectivity data

    Open Access•Young-Geun Kim, Orren Ravid et al.•ARTICLE•Frontiers in Psychiatry•2024

    This study introduced latent contribution scores to interpret nonlinear patterns identified by VAEs. These scores effectively capture changes in each observed rsFC feature as the estimated latent representation changes, enabling an explainable deep learning model that better understands the underlying neural mechanisms of ASD

Artificial Intelligence (1 obras) · Autism (1 obras) · Autism spectrum disorder (1 obras) · Cognitive psychology (1 obras) · Computer Science (1 obras) · Developmental psychology (1 obras) · EEG and Brain-Computer Interfaces (1 obras) · Functional Brain Connectivity Studies (1 obras) · Functional connectivity (1 obras) · Machine learning (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae