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Uboho Victor

Biographic Data

ID10054532
NAMEUboho Victor
GIVEN NAMESUboho
FAMILY NAMEVictor
SIGNATUREVICTOR U
AFFILIATIONSTexas A&M University System
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX0
  • Two-Path Deep Semisupervised Learning for Timely Fake News Detection

    Open Access•Xishuang Dong, Uboho Victor et al.•ARTICLE•IEEE Transactions on Computational…•2020

    News in social media, such as Twitter, has been generated in high volume and speed. However, very few of them are labeled (as fake or true news) by professionals in near real time. In order to achieve timely detection of fake news in social media, a novel framework of two-path deep semisupervised learning (SSL) is proposed where one path is for supervised learning and the other is for unsupervised learning. The supervised learning path learns on …

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  • Two-Path Deep Semisupervised Learning for Timely Fake News Detection

    Open Access•Xishuang Dong, Uboho Victor et al.•ARTICLE•IEEE Transactions on Computational…•2020

    News in social media, such as Twitter, has been generated in high volume and speed. However, very few of them are labeled (as fake or true news) by professionals in near real time. In order to achieve timely detection of fake news in social media, a novel framework of two-path deep semisupervised learning (SSL) is proposed where one path is for supervised learning and the other is for unsupervised learning. The supervised learning path learns on …

Advanced Malware Detection Techniques (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Deep learning (1 work) · Labeled data (1 work) · Machine learning (1 work) · Mathematics (1 work) · Misinformation and Its Impacts (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae