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Qunlun SHEN

Datos Biográficos

ID8917779
NOMBREQunlun SHEN
NOMBRESQunlun
APELLIDOSHEN
FIRMASHEN Q
ORCID0000-0002-7149-6803
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2019
ÍNDICE H0
  • Classification of test-anxious individuals using Event-Related Potentials (ERPs)

    Wenpei Zhang, Qunlun SHEN et al.•ARTICLE•Acta Psychologica Sinica•2019

    Individuals with test anxiety always treat tests/examinations as a potential threat. This cognitive mode impairs these individuals’ cognition, attention and emotions. A traditional method classifying subjects either as high or low on test anxiety (i.e., HTA or LTA, respectively) relies on questionnaire data. Questionnaire data may be unstable due to the subjective nature of participants’ attitudes, implying a reduced classification accuracy. In s…

Sin obras prominentes en esta página.

  • Classification of test-anxious individuals using Event-Related Potentials (ERPs)

    Wenpei Zhang, Qunlun SHEN et al.•ARTICLE•Acta Psychologica Sinica•2019

    Individuals with test anxiety always treat tests/examinations as a potential threat. This cognitive mode impairs these individuals’ cognition, attention and emotions. A traditional method classifying subjects either as high or low on test anxiety (i.e., HTA or LTA, respectively) relies on questionnaire data. Questionnaire data may be unstable due to the subjective nature of participants’ attitudes, implying a reduced classification accuracy. In s…

Algorithm (1 obra) · Artificial Intelligence (1 obra) · Cognitive psychology (1 obra) · Computer Science (1 obra) · EEG and Brain-Computer Interfaces (1 obra) · Electroencephalography (1 obra) · Event-related potential (1 obra) · Machine learning (1 obra) · Neuroscience (1 obra) · Physics (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae