Mr Solomon Ebenuwa

NameMr Solomon Ebenuwa
ORCIDhttps://orcid.org/0000-0001-5780-4817
Email addressu0744306@uel.ac.uk
Research instituteArchitecture, Computing & Engineering

Research outputs

Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All

Ebenuwa, S., Sharif, S., Al-Nemrat, A., Al-Bayatti, A. H., Alalwan, N., Alzahrani, A. I. and Alfarraj, O. 2019. Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All. Symmetry. 11 (Art. 1504). https://doi.org/10.3390/sym11121504

Handling Imbalanced Classes: Feature Based Variance Ranking Techniques for Classification

Ebenuwa, S. 2019. Handling Imbalanced Classes: Feature Based Variance Ranking Techniques for Classification. PhD Thesis University of East London School of Architecture, Computing and Engineering https://doi.org/10.15123/uel.88183

Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data

Ebenuwa, S., Sharif, M., Alazab, Mamoun and Al-Nemrat, A. 2019. Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data. IEEE Access. 7, pp. 24649-24666. https://doi.org/10.1109/ACCESS.2019.2899578
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