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Maryam Taeb
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 10
Top Topics
Deep Learning
Natural Language
Bias Variance Decomposition
Disabled Students
Top Venues
CoRR
IEEE BigData
FTC (2)
PEARC
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Publications
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Maryam Taeb
,
Amanda Swearngin
,
Eldon Schoop
,
Ruijia Cheng
,
Yue Jiang
,
Jeffrey Nichols
AXNav: Replaying Accessibility Tests from Natural Language.
CHI
(2024)
Maryam Taeb
,
Amanda Swearngin
,
Eldon Schoop
,
Ruijia Cheng
,
Yue Jiang
,
Jeffrey Nichols
AXNav: Replaying Accessibility Tests from Natural Language.
CoRR
(2023)
Maryam Taeb
Developing Hands-on Labs for Source Code Vulnerability Detection with AI.
CoRR
(2023)
Maryam Taeb
,
Yonathan Torres
,
Hongmei Chi
,
Shonda Bernadin
Investigating Gender and Racial Bias in ELECTRA.
CSCI
(2022)
Maryam Taeb
,
Hongmei Chi
,
Shonda Bernadin
Targeted Data Extraction and Deepfake Detection with Blockchain Technology.
UV
(2022)
Maryam Taeb
,
Hongmei Chi
,
Shonda Bernadin
Digital Evidence Acquisition and Deepfake Detection with Decentralized Applications.
PEARC
(2022)
Maryam Taeb
,
Hongmei Chi
Comparison of Deepfake Detection Techniques through Deep Learning.
J. Cybersecur. Priv.
2 (1) (2022)
Janei Elliston
,
Hongmei Chi
,
Shonda Bernadin
,
Maryam Taeb
Integrating Blockchain Technology into Cybersecurity Education.
FTC (2)
(2022)
Maryam Taeb
,
Hongmei Chi
,
Jie Yan
Applying Machine Learning to Analyze Anti-Vaccination on Tweets.
IEEE BigData
(2021)
Maryam Taeb
,
Hongmei Chi
A Personalized Learning Framework for Software Vulnerability Detection and Education.
ISCSIC
(2021)