| 2021 | KES | Modeling Employee Flexible Work Scheduling As A Classification Problem. | Fred N. Kiwanuka, Louay Karadsheh, Ja'far Alqatawna, Anang Hudaya Muhamad Amin |
| 2019 | ICISSP | Towards Automated Comprehensive Feature Engineering for Spam Detection. | Fred N. Kiwanuka, Ja'far Alqatawna, Anang Hudaya Muhamad Amin, Sujni Paul, Hossam Faris |
| 2019 | ICSE | Hybrid model of correlation based filter feature selection and machine learning classifiers applied on smart meter data set. | Janvier Omar Sinayobye, Fred N. Kiwanuka, Kyanda Swaib Kaawaase, Richard Musabe |
| 2018 | ICSE | A state-of-the-art review of machine learning techniques for fraud detection research. | Janvier Omar Sinayobye, Fred N. Kiwanuka, Kaawaase Kyanda Swaib |
| 2015 | ISMM | Cluster Based Vector Attribute Filtering. | Fred N. Kiwanuka, Michael H. F. Wilkinson |
| 2012 | ICPR | Cluster-based vector-attribute filtering for CT and MRI enhancement. | Fred N. Kiwanuka, Michael H. F. Wilkinson |
| 2010 | ICPR | Automatic Attribute Threshold Selection for Blood Vessel Enhancement. | Fred N. Kiwanuka, Michael H. F. Wilkinson |
| 2009 | ISMM | Surface-Area-Based Attribute Filtering in 3D. | Fred N. Kiwanuka, Georgios K. Ouzounis, Michael H. F. Wilkinson |