Variance ranking attributes selection techniques for binary classification problem in imbalance data SH Ebenuwa, MS Sharif, M Alazab, A Al-Nemrat IEEE access 7, 24649-24666, 2019 | 119 | 2019 |
A deep learning approach for human activities recognition from multimodal sensing devices IK Ihianle, AO Nwajana, SH Ebenuwa, RI Otuka, K Owa, MO Orisatoki IEEE Access 8, 179028-179038, 2020 | 79 | 2020 |
Image processing system using MATLAB-based analytics GK Ijemaru, AO Nwajana, EU Oleka, RI Otuka, IK Ihianle, SH Ebenuwa, ... Bulletin of Electrical Engineering and Informatics 10 (5), 2566-2577, 2021 | 20 | 2021 |
Symmetric 3dB filtering power divider with equal output power ratio for communication systems AO Nwajana, RI Otuka, SH Ebenuwa, IK Ihianle, SO Aneke, AA Edoh 2020 International conference on electrical, communication, and computer …, 2020 | 7 | 2020 |
Variance ranking for multi-classed imbalanced datasets: A case study of One-Versus-All SH Ebenuwa, MS Sharif, A Al-Nemrat, AH Al-Bayatti, N Alalwan, ... Symmetry 11 (12), 1504, 2019 | 4 | 2019 |
Exploiting Patterns of Object Use for Human Activity Recognition IK Ihianle, S Islam, U Naeem, SH Ebenuwa Handbook of Research on 5G Networks and Advancements in Computing …, 2021 | | 2021 |
Handling Imbalanced Classes: Feature Based Variance Ranking Techniques for Classification S Ebenuwa University of East London, 2019 | | 2019 |
A Deep Learning Approach for Human Activities Recognition from Multimodal Sensing Devices. SH EBENUWA, RI OTUKA, K OWA, MO ORISATOKI | | |