| 2019 | ITNAC | Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials. | Marianne Cherrington, Joan Lu, David Airehrour, Fadi A. Thabtah, Qiang Xu, Samaneh Madanian |
| 2017 | ISI | Phishing detection: A recent intelligent machine learning comparison based on models content and features. | Neda Abdelhamid, Fadi A. Thabtah, Hussein Abdel-jaber |
| 2016 | IJCNN | A dynamic self-structuring neural network model to combat phishing. | Fadi A. Thabtah, Rami Mustafa A. Mohammad, Lee McCluskey |
| 2016 | PAKDD | An Improved Self-Structuring Neural Network. | Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey |
| 2015 | AICCSA | A classification rules mining method based on dynamic rules' frequency. | Issa Qabajeh, Francisco Chiclana, Fadi A. Thabtah |
| 2009 | PDPTA | Hamming Code for Compressing Audio Files. | Mohammed Mahafzah, Ahmmad Sharieah, Fadi A. Thabtah |
| 2006 | ICDM | Challenges and Interesting Research Directions in Associative Classification. | Fadi A. Thabtah |
| 2006 | SGAI | Ranked Multi-Label Rules Associative Classifier. | Fadi A. Thabtah |
| 2005 | AICCSA | MCAR: multi-class classification based on association rule. | Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng |
| 2005 | SGAI | The Impact of Rule Ranking on the Quality of Associative Classifiers. | Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng |
| 2004 | ICDM | MMAC: A New Multi-Class, Multi-Label Associative Classification Approach. | Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng |