| Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art A Adegun, S Viriri Artificial Intelligence Review 54 (2), 811-841, 2021 | 247 | 2021 |
| Deep learning-based system for automatic melanoma detection AA Adegun, S Viriri IEEE Access 8, 7160-7172, 2019 | 176 | 2019 |
| Deep learning for brain tumor segmentation: a survey of state-of-the-art T Magadza, S Viriri Journal of Imaging 7 (2), 19, 2021 | 150 | 2021 |
| FCN-based DenseNet framework for automated detection and classification of skin lesions in dermoscopy images AA Adegun, S Viriri IEEE Access 8, 150377-150396, 2020 | 147 | 2020 |
| A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems AE Ezugwu, OJ Adeleke, AA Akinyelu, S Viriri Neural Computing and Applications 32 (10), 6207-6251, 2020 | 126 | 2020 |
| Adaptive thresholding technique for retinal vessel segmentation based on GLCM‐energy information T Mapayi, S Viriri, JR Tapamo Computational and mathematical methods in medicine 2015 (1), 597475, 2015 | 94 | 2015 |
| Examining energy sufficiency and energy mobility in the global south through the energy justice framework CG Monyei, K Jenkins, V Serestina, AO Adewumi Energy Policy 119, 68-76, 2018 | 90 | 2018 |
| Long short-term memory recurrent neural network for automatic speech recognition J Oruh, S Viriri, A Adegun IEEE Access 10, 30069-30079, 2022 | 73 | 2022 |
| Deeply learned classifiers for age and gender predictions of unfiltered faces O Agbo-Ajala, S Viriri the scientific world journal 2020 (1), 1289408, 2020 | 68 | 2020 |
| Justice, poverty, and electricity decarbonization CG Monyei, BK Sovacool, MA Brown, KEH Jenkins, S Viriri, Y Li The Electricity Journal 32 (1), 47-51, 2019 | 63 | 2019 |
| Facial expression recognition of instructor using deep features and extreme learning machine YK Bhatti, A Jamil, N Nida, MH Yousaf, S Viriri, SA Velastin Computational Intelligence and Neuroscience 2021 (1), 5570870, 2021 | 55 | 2021 |
| Symbiotic organisms search algorithm for the unrelated parallel machines scheduling with sequence-dependent setup times AE Ezugwu, OJ Adeleke, S Viriri PloS one 13 (7), e0200030, 2018 | 55 | 2018 |
| Classification of hematoxylin and eosin‐stained breast cancer histology microscopy images using transfer learning with EfficientNets C Munien, S Viriri Computational Intelligence and Neuroscience 2021 (1), 5580914, 2021 | 54 | 2021 |
| Comparative study of retinal vessel segmentation based on global thresholding techniques T Mapayi, S Viriri, JR Tapamo Computational and mathematical methods in medicine 2015 (1), 895267, 2015 | 50 | 2015 |
| Deep learning approach for facial age classification: a survey of the state-of-the-art O Agbo-Ajala, S Viriri Artificial Intelligence Review 54 (1), 179-213, 2021 | 49 | 2021 |
| An off-line signature verification system B Schafer, S Viriri 2009 IEEE International Conference on Signal and Image Processing …, 2009 | 41 | 2009 |
| Facial expression recognition: A review of trends and techniques OS Ekundayo, S Viriri Ieee Access 9, 136944-136973, 2021 | 40 | 2021 |
| Deep learning approach for medical image analysis AA Adegun, S Viriri, RO Ogundokun Computational Intelligence and Neuroscience 2021 (1), 6215281, 2021 | 40 | 2021 |
| Detection of COVID‐19 from CT Lung Scans Using Transfer Learning S Lawton, S Viriri Computational Intelligence and Neuroscience 2021 (1), 5527923, 2021 | 38 | 2021 |
| Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis AA Adegun, S Viriri, JR Tapamo Journal of Big Data 10 (1), 93, 2023 | 34 | 2023 |
Jules-Raymond TapamoProfessor of Computer Science and Engineering, University of KwaZulu-NatalVerified email at ukzn.ac.za
