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Pin-Han Ho

Datos Biográficos

ID3924970
NOMBREPin-Han Ho
NOMBRESPin-Han
APELLIDOHo
FIRMAHO P
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS1
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H1
  • DeeProBot

    Open Access•Kadhim Hayawi, Sujith Mathew et al.•ARTICLE•Social Network Analysis and Mining•2022•Citada por: 1•Referencias: 37

    Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…

  • DeeProBot

    Open Access•Kadhim Hayawi, Sujith Mathew et al.•ARTICLE•Social Network Analysis and Mining•2022•Citada por: 1•Referencias: 37

    Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…

  • DeeProBot

    Open Access•Kadhim Hayawi, Sujith Mathew et al.•ARTICLE•Social Network Analysis and Mining•2022•Citada por: 1•Referencias: 37

    Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…

Advanced Malware Detection Techniques (1 obra) · Artificial Intelligence (1 obra) · Artificial neural network (1 obra) · Computer Science (1 obra) · Data mining (1 obra) · Machine learning (1 obra) · Misinformation and Its Impacts (1 obra) · Social media (1 obra) · Spam and Phishing Detection (1 obra) · World Wide Web (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