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Title
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Citation
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Year
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| Using supervised machine learning algorithms to detect suspicious URLs in online social networks M Al-Janabi, E Quincey, P Andras Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 64 | 2017 |
| A systematic analysis of random forest based social media spam classification M Al-Janabi, P Andras International Conference on Network and System Security, 427-438, 2017 | 9 | 2017 |
| A behavior based algorithm to detect spam bots MF Zamil, AM Manasrah, O Amir, S Ramadass 2010 International Symposium on Collaborative Technologies and Systems, 453-462, 2010 | 8 | 2010 |
| Detection of suspicious URLs in online social networks using supervised machine learning algorithms MFZ Al-Janabi Keele University, 2018 | 3 | 2018 |
| A Comprehensive Data Enhancement Method for the Pima Dataset to Improve Diabetes Prediction Performance MF Zamil, DH Hameed, US Mahmoud Journal Port Science Research 8 (4), 314-320, 2025 | 2 | 2025 |
| Zero-training: Pretrained Foundation Model for Limited Healthcare Tabular Datasets MF Zamil AlKadhim Journal for Computer Science 4 (3), 14-22, 2026 | | 2026 |
| Clinically Aligned Explainable Machine Learning Models for Classifying Migraine Types MF Zamil, DH Hameed Iraqi Journal for Computers and Informatics 52 (2), 40-49, 2026 | | 2026 |
| Early Parkinson’s Detection via Aggregated Acoustic Features and Ensemble Learning MF Zamil, DH Hameed, ZM Alameen Iraqi Journal of Intelligent Computing and Informatics (IJICI) 5 (1), 24-32, 2026 | | 2026 |
| A One-vs-Rest EfficientNetB0 Ensemble for Brain Tumor Classification Under Distribution Shift MF Zamil Journal of Shaqra University for Computing and Information Technology 2 (2), 2026 | | 2026 |
- Ph.D. in Data Science - Computer Science - Keele University - UK (2018)
- M.Sc. in Computer Science - USM - Malaysia (2010)
- B.Sc in Computer Science - Baghdad University - Iraq (2007)
Delivering lectures in Data analysis;
Artificial Intelligence;
Deep learning;
Object-oriented programming;
Medical Informatics;
