Kyanda Swaib Kaawaase

According to our database, Kyanda Swaib Kaawaase authored at least 9 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Improvement of Malware Classification Using Hybrid Feature Engineering.

Emmanuel Masabo, Kyanda Swaib Kaawaase, Julianne Sansa-Otim, John Ngubiri, Damien Hanyurwimfura

SN Comput. Sci., 2020

2019

Ontologies' mappings validation and annotation enrichment through tagging.

Peter Juma Ochieng, Swaib Kyanda

Artif. Intell. Rev., 2019

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

Proceedings of the 2nd Symposium on Software Engineering in Africa, 2019

2018

A K-way spectral partitioning of an ontology for ontology matching.

Peter Juma Ochieng, Swaib Kyanda

Distributed Parallel Databases, 2018

A statistically-based ontology matching tool.

Peter Juma Ochieng, Swaib Kyanda

Distributed Parallel Databases, 2018

Large-Scale Ontology Matching: State-of-the-Art Analysis.

Peter Juma Ochieng, Swaib Kyanda

ACM Comput. Surv., 2018

A state-of-the-art review of machine learning techniques for fraud detection research.

Janvier Omar Sinayobye, Fred N. Kiwanuka, Kaawaase Kyanda Swaib

Proceedings of the 2018 International Conference on Software Engineering in Africa, 2018

Big data: deep learning for detecting malware.

Emmanuel Masabo, Kyanda Swaib Kaawaase, Julianne Sansa-Otim

Proceedings of the 2018 International Conference on Software Engineering in Africa, 2018

2017

Structural Feature Engineering Approach for Detecting Polymorphic Malware.

Emmanuel Masabo, Kyanda Swaib Kaawaase, Julianne Sansa-Otim, Damien Hanyurwimfura

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017