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Kyanda Swaib Kaawaase

Kaawaase Kyanda Swaib – Swaib Kyanda

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2020 – today

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2020
[j5]
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  - journals/sncs/MasaboKSNH20
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Emmanuel Masabo, Kyanda Swaib Kaawaase, Julianne Sansa-Otim, John Ngubiri, Damien Hanyurwimfura:
Improvement of Malware Classification Using Hybrid Feature Engineering. SN Comput. Sci. 1(1): 17:1-17:14 (2020)

2010 – 2019

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2019
[j4]
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Peter Juma Ochieng, Swaib Kyanda:
Ontologies' mappings validation and annotation enrichment through tagging. Artif. Intell. Rev. 52(4): 2623-2650 (2019)
[c4]
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Janvier Omar Sinayobye, Fred N. Kiwanuka, Kyanda Swaib Kaawaase, Richard Musabe:
Hybrid model of correlation based filter feature selection and machine learning classifiers applied on smart meter data set. SEiA@ICSE 2019: 1-10
2018
[j3]
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Peter Juma Ochieng, Swaib Kyanda:
Large-Scale Ontology Matching: State-of-the-Art Analysis. ACM Comput. Surv. 51(4): 75:1-75:35 (2018)
[j2]
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Peter Juma Ochieng, Swaib Kyanda:
A statistically-based ontology matching tool. Distributed Parallel Databases 36(1): 195-217 (2018)
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Peter Juma Ochieng, Swaib Kyanda:
A K-way spectral partitioning of an ontology for ontology matching. Distributed Parallel Databases 36(4): 643-673 (2018)
[c3]
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Janvier Omar Sinayobye, Fred N. Kiwanuka, Kaawaase Kyanda Swaib:
A state-of-the-art review of machine learning techniques for fraud detection research. SEiA 2018: 11-19
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Emmanuel Masabo, Kyanda Swaib Kaawaase, Julianne Sansa-Otim:
Big data: deep learning for detecting malware. SEiA 2018: 20-26
2017
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Emmanuel Masabo, Kyanda Swaib Kaawaase, Julianne Sansa-Otim, Damien Hanyurwimfura:
Structural Feature Engineering Approach for Detecting Polymorphic Malware. DASC/PiCom/DataCom/CyberSciTech 2017: 716-721

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