Structural Feature Engineering Approach for Detecting Polymorphic Malware. - Emmanuel Masabo; Kyanda Swaib Kaawaase; Julianne Sansa-Otim; Damien Hanyurwimfura (DASC/PiCom/DataCom/CyberSciTech, 2017)

Big data: deep learning for detecting malware. - Emmanuel Masabo; Kyanda Swaib Kaawaase; Julianne Sansa-Otim (SEiA, 2018)

A state-of-the-art review of machine learning techniques for fraud detection research. - Janvier Omar Sinayobye; Fred N. Kiwanuka; Kaawaase Kyanda Swaib (SEiA, 2018)

Large-Scale Ontology Matching: State-of-the-Art Analysis. - Peter Juma Ochieng; Swaib Kyanda (ACM Comput. Surv., 2018)

A statistically-based ontology matching tool. - Peter Juma Ochieng; Swaib Kyanda (Distributed Parallel Databases, 2018)

A K-way spectral partitioning of an ontology for ontology matching. - Peter Juma Ochieng; Swaib Kyanda (Distributed Parallel Databases, 2018)

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 (SEiA@ICSE, 2019)

Ontologies' mappings validation and annotation enrichment through tagging. - Peter Juma Ochieng; Swaib Kyanda (Artif. Intell. Rev., 2019)

Improvement of Malware Classification Using Hybrid Feature Engineering. - Emmanuel Masabo; Kyanda Swaib Kaawaase; Julianne Sansa-Otim; John Ngubiri; Damien Hanyurwimfura (SN Comput. Sci., 2020)