| 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 | 222 | 2021 |
| Deep learning-based system for automatic melanoma detection AA Adegun, S Viriri IEEE Access 8, 7160-7172, 2019 | 163 | 2019 |
| 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 | 135 | 2020 |
| Deep learning for brain tumor segmentation: a survey of state-of-the-art T Magadza, S Viriri Journal of Imaging 7 (2), 19, 2021 | 131 | 2021 |
| 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 | 120 | 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, 2015 | 95 | 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 | 86 | 2018 |
| Long short-term memory recurrent neural network for automatic speech recognition J Oruh, S Viriri, A Adegun IEEE Access 10, 30069-30079, 2022 | 65 | 2022 |
| Deeply learned classifiers for age and gender predictions of unfiltered faces O Agbo-Ajala, S Viriri The Scientific World Journal 2020, 2020 | 59 | 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 | 59 | 2019 |
| 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, 2021 | 52 | 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 | 52 | 2018 |
| Comparative study of retinal vessel segmentation based on global thresholding techniques T Mapayi, S Viriri, JR Tapamo Computational and mathematical methods in medicine 2015, 2015 | 48 | 2015 |
| 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, 1-17, 2021 | 47 | 2021 |
| 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 | 46 | 2021 |
| An off-line signature verification system B Schafer, S Viriri 2009 IEEE International Conference on Signal and Image Processing …, 2009 | 42 | 2009 |
| Detection of COVID-19 from CT lung scans using transfer learning S Lawton, S Viriri Computational Intelligence and Neuroscience 2021, 2021 | 40 | 2021 |
| Deep learning approach for medical image analysis AA Adegun, S Viriri, RO Ogundokun Computational Intelligence and Neuroscience 2021, 1-9, 2021 | 39 | 2021 |
| Facial expression recognition: A review of trends and techniques OS Ekundayo, S Viriri Ieee Access 9, 136944-136973, 2021 | 34 | 2021 |
| Retinal blood vessel segmentation using Otsu thresholding with principal component analysis J Dash, N Bhoi 2018 2nd international conference on inventive systems and control (ICISC …, 2018 | 34 | 2018 |
Jules-Raymond TapamoProfessor of Computer Science and Engineering, University of KwaZulu-NatalDirección de correo verificada de ukzn.ac.za
