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Wen-Huai Hsieh

Datos Biográficos

ID7873932
NOMBREWen-Huai Hsieh
NOMBRESWen-Huai
APELLIDOHsieh
FIRMAHSIEH W
AFILIACIONESNational Chung Cheng University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2019
ÍNDICE H0
  • An Ensemble Classifier with Case-Based Reasoning System for Identifying Internet Addiction

    Open Access•Wen-Huai Hsieh, Dong‐Her Shih et al.•ARTICLE•International Journal of…•2019

    Internet usage has increased dramatically in recent decades. With this growing usage trend, the negative impacts of Internet usage have also increased significantly. One recurring concern involves users with Internet addiction, whose Internet usage has become excessive and disrupted their lives. In order to detect users with Internet addiction and disabuse their inappropriate behavior early, a secure Web service-based EMBAR (ensemble classifier w…

Sin obras prominentes en esta página.

  • An Ensemble Classifier with Case-Based Reasoning System for Identifying Internet Addiction

    Open Access•Wen-Huai Hsieh, Dong‐Her Shih et al.•ARTICLE•International Journal of…•2019

    Internet usage has increased dramatically in recent decades. With this growing usage trend, the negative impacts of Internet usage have also increased significantly. One recurring concern involves users with Internet addiction, whose Internet usage has become excessive and disrupted their lives. In order to detect users with Internet addiction and disabuse their inappropriate behavior early, a secure Web service-based EMBAR (ensemble classifier w…

Addiction (1 obras) · Artificial Intelligence (1 obras) · Classifier (UML (1 obras) · Computer Science (1 obras) · Internet addiction disorder (1 obras) · Internet privacy (1 obras) · Internet users (1 obras) · Machine learning (1 obras) · Network Security and Intrusion Detection (1 obras) · Psychiatry (1 obras)

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