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Alex Mbaziira
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2020 – today
- 2024
- [i2]Alex V. Mbaziira, Maha F. Sabir:
An Explainable XGBoost-based Approach on Assessing Detection of Deception and Disinformation. CoRR abs/2405.18596 (2024)
2010 – 2019
- 2019
- [c6]Maha F. Sabir, James H. Jones, Hang Liu, Alex V. Mbaziira:
Using Machine Learning to Predict Stealthy Watermarks in Files During Cyber Crime Investigations. ICCDA 2019: 20-25 - [c5]Maha F. Sabir, James H. Jones, Hang Liu, Alex V. Mbaziira:
Predicting Stealthy Watermarks in Files Using Deep Learning. ISDFS 2019: 1-6 - 2018
- [c4]Alex V. Mbaziira, Diane R. Murphy:
An Empirical Study on Detecting Deception and Cybercrime Using Artificial Neural Networks. ICCDA 2018: 42-46 - [c3]Maha F. Sabir, James H. Jones, Hang Liu, Alex V. Mbaziira:
A Non-Algorithmic Forensic Approach for Hiding Data in Image Files. ICCDA 2018: 60-64 - 2017
- [c2]Alex V. Mbaziira, James H. Jones:
Hybrid Text-based Deception Models for Native and Non-Native English Cybercriminal Networks. ICCDA 2017: 23-27 - 2015
- [i1]Alex Mbaziira, Ehab Atif Abozinadah, James H. Jones Jr.:
Evaluating Classifiers in Detecting 419 Scams in Bilingual Cybercriminal Communities. CoRR abs/1508.04123 (2015) - 2014
- [c1]Hamed Sarvari, Ehab Atif Abozinadah, Alex Mbaziira, Damon McCoy:
Constructing and Analyzing Criminal Networks. IEEE Symposium on Security and Privacy Workshops 2014: 84-91
Coauthor Index
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