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ORCIDSerestina Viriri
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- affiliation: University of KwaZulu-Natal
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2020 – today
- 2022
[j33]Jane Oruh
, Serestina Viriri, Adekanmi Adegun:
Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition. IEEE Access 10: 30069-30079 (2022)- [j32]Tirivangani Magadza, Serestina Viriri:
Brain Tumor Segmentation Using Partial Depthwise Separable Convolutions. IEEE Access 10: 124206-124216 (2022) - [j31]Aimee Booysens, Serestina Viriri:
Ear Biometrics Using Deep Learning: A Survey. Appl. Comput. Intell. Soft Comput. 2022: 9692690:1-9692690:17 (2022) - [j30]Abubaker Abdelrahman, Serestina Viriri:
Kidney Tumor Semantic Segmentation Using Deep Learning: A Survey of State-of-the-Art. J. Imaging 8(3): 55 (2022) - [c92]Samson Akinpelu, Serestina Viriri:
A Robust Deep Transfer Learning Model for Accurate Speech Emotion Classification. ISVC (2) 2022: 419-430 - [e1]Edgar Jembere, Aurona J. Gerber, Serestina Viriri, Anban W. Pillay:
Artificial Intelligence Research - Second Southern African Conference, SACAIR 2021, Durban, South Africa, December 6-10, 2021, Proceedings. Communications in Computer and Information Science 1551, Springer 2022, ISBN 978-3-030-95069-9 [contents] - 2021
- [j29]Olufisayo Ekundayo, Serestina Viriri:
Facial Expression Recognition: A Review of Trends and Techniques. IEEE Access 9: 136944-136973 (2021) - [j28]Olatunbosun Agbo-Ajala, Serestina Viriri:
Deep learning approach for facial age classification: a survey of the state-of-the-art. Artif. Intell. Rev. 54(1): 179-213 (2021) - [j27]Adekanmi Adegun, Serestina Viriri:
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art. Artif. Intell. Rev. 54(2): 811-841 (2021) - [j26]Vincent Majanga, Serestina Viriri:
Dental Images' Segmentation Using Threshold Connected Component Analysis. Comput. Intell. Neurosci. 2021: 2921508:1-2921508:9 (2021) - [j25]Sahil Lawton, Serestina Viriri:
Detection of COVID-19 from CT Lung Scans Using Transfer Learning. Comput. Intell. Neurosci. 2021: 5527923:1-5527923:14 (2021) - [j24]Yusra Khalid Bhatti, Afshan Jamil, Nudrat Nida, Muhammad Haroon Yousaf, Serestina Viriri, Sergio A. Velastin:
Facial Expression Recognition of Instructor Using Deep Features and Extreme Learning Machine. Comput. Intell. Neurosci. 2021: 5570870:1-5570870:17 (2021) - [j23]Chanaleä Munien, Serestina Viriri:
Classification of Hematoxylin and Eosin-Stained Breast Cancer Histology Microscopy Images Using Transfer Learning with EfficientNets. Comput. Intell. Neurosci. 2021: 5580914:1-5580914:17 (2021) - [j22]Adekanmi Adeyinka Adegun, Serestina Viriri, Roseline Oluwaseun Ogundokun:
Deep Learning Approach for Medical Image Analysis. Comput. Intell. Neurosci. 2021: 6215281:1-6215281:9 (2021) - [j21]Mustapha Oloko-Oba, Serestina Viriri:
Ensemble of EfficientNets for the Diagnosis of Tuberculosis. Comput. Intell. Neurosci. 2021: 9790894:1-9790894:12 (2021) - [j20]Tirivangani Magadza, Serestina Viriri:
Deep Learning for Brain Tumor Segmentation: A Survey of State-of-the-Art. J. Imaging 7(2): 19 (2021) - [j19]Olufisayo Ekundayo, Serestina Viriri:
Multilabel convolution neural network for facial expression recognition and ordinal intensity estimation. PeerJ Comput. Sci. 7: e736 (2021) - [j18]Ronald Tombe, Serestina Viriri:
Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 155-164 (2021) - [c91]Vincent Majanga, Serestina Viriri:
Dropout Regularization for Automatic Segmented Dental Images. ACIIDS (Companion) 2021: 254-265 - [c90]Ronald Tombe, Serestina Viriri:
Towards Exploiting Convolutional Features for Remote Sensing Images Scene Classification. ACIIDS (Companion) 2021: 266-277 - [c89]Olubunmi Omobola Sule, Serestina Viriri, Mandlenkosi Victor Gwetu:
Contrast Enhancement in Deep Convolutional Neural Networks for Segmentation of Retinal Blood Vessels. ACIIDS (Companion) 2021: 278-290 - [c88]Jane Oruh, Serestina Viriri:
Deep Learning with Optimization Techniques for the Classification of Spoken English Digit. ICCCI 2021: 494-507 - [c87]Mustapha Oloko-Oba, Serestina Viriri:
Ensemble of Convolution Neural Networks for Automatic Tuberculosis Classification. ICCCI 2021: 549-559 - [c86]Shaneer Luchman, Serestina Viriri:
Underwater Image Enhancement Using Adaptive Algorithms. IWAIPR 2021: 316-326 - [c85]Idowu Aruleba, Serestina Viriri:
Enhanced Convolutional Neural Network for Age Estimation. IWANN (1) 2021: 385-394 - [c84]Idowu Aruleba, Serestina Viriri:
Deep Learning for Age Estimation Using EfficientNet. IWANN (1) 2021: 407-419 - [c83]Divyan Hirasen, Verosha Pillay, Serestina Viriri, Mandlenkosi Victor Gwetu:
Skeletal Age Estimation from Hand Radiographs Using Ensemble Deep Learning. MCPR 2021: 173-183 - [c82]Jane Oruh, Serestina Viriri:
Long Short-Term Memory Recurrent Neural Network for Automatic Recognition of Spoken English Digits. MIKE 2021: 188-198 - [c81]Yashay Rampershad, Serestina Viriri, Mandlenkosi Victor Gwetu:
Automatic Baggage Threat Detection Using Deep Attention Networks. SACAIR 2021: 156-173 - [i1]Nisreen AbdAllah, Serestina Viriri:
Off-Line Arabic Handwritten Words Segmentation using Morphological Operators. CoRR abs/2101.02797 (2021) - 2020
- [j17]Adekanmi Adegun, Serestina Viriri:
Deep Learning-Based System for Automatic Melanoma Detection. IEEE Access 8: 7160-7172 (2020) - [j16]Adekanmi Adeyinka Adegun, Serestina Viriri:
FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images. IEEE Access 8: 150377-150396 (2020) - [j15]Olatunbosun Agbo-Ajala, Serestina Viriri:
A Lightweight Convolutional Neural Network for Real and Apparent Age Estimation in Unconstrained Face Images. IEEE Access 8: 162800-162808 (2020) - [j14]Absalom E. Ezugwu, Olawale J. Adeleke, Andronicus Ayobami Akinyelu, Serestina Viriri:
A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems. Neural Comput. Appl. 32(10): 6207-6251 (2020) - [j13]Zolo Kiala, Onisimo Mutanga, John Odindi, Serestina Viriri, Mbulisi Sibanda:
A Hybrid Feature Method for Handling Redundant Features in a Sentinel-2 Multidate Image for Mapping Parthenium Weed. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3644-3655 (2020) - [j12]Omran Salih, Serestina Viriri:
Skin Lesion Segmentation Using Stochastic Region-Merging and Pixel-Based Markov Random Field. Symmetry 12(8): 1224 (2020) - [c80]Adekanmi Adegun, Serestina Viriri:
Deep Convolutional Network-Based Framework for Melanoma Lesion Detection and Segmentation. ACIVS 2020: 51-62 - [c79]Verosha Pillay, Divyan Hirasen, Serestina Viriri, Mandlenkosi Victor Gwetu:
Melanoma Skin Cancer Classification Using Transfer Learning. ICCCI (CCIS Volume) 2020: 287-297 - [c78]Mandlenkosi Victor Gwetu, Jules-Raymond Tapamo, Serestina Viriri:
Retinal Image Segmentation Through Valley Emphasis Thresholding of the Gabor Filter Response. ICCCI 2020: 516-527 - [c77]Verosha Pillay, Divyan Hirasen, Serestina Viriri, Mandlenkosi Victor Gwetu:
Macroscopic Skin Lesion Segmentation Using GrabCut. ICCCI 2020: 528-539 - [c76]Aimee Booysens, Serestina Viriri:
Exploration of Ear Biometrics with Deep Learning. ICCVG 2020: 25-35 - [c75]Mustapha Oloko-Oba, Serestina Viriri:
Tuberculosis Abnormality Detection in Chest X-Rays: A Deep Learning Approach. ICCVG 2020: 121-132 - [c74]Salma M. Osman, Serestina Viriri:
Dynamic Local Ternary Patterns for Gender Identification Using Facial Components. ICCVG 2020: 133-141 - [c73]Mustapha Oloko-Oba, Serestina Viriri:
Diagnosing Tuberculosis Using Deep Convolutional Neural Network. ICISP 2020: 151-161 - [c72]Abigail Singh, Serestina Viriri:
Online Signature Verification using Deep Descriptors. ICTAS 2020: 1-6 - [c71]Olubunmi Omobola Sule, Serestina Viriri:
Enhanced Convolutional Neural Networks for Segmentation of Retinal Blood Vessel Image. ICTAS 2020: 1-6 - [c70]Mustapha Oloko-Oba, Serestina Viriri:
Pre-trained Convolutional Neural Network for the Diagnosis of Tuberculosis. ISVC (2) 2020: 558-569 - [c69]Olufisayo Ekundayo, Serestina Viriri:
Facial Expression Recognition and Ordinal Intensity Estimation: A Multilabel Learning Approach. ISVC (2) 2020: 581-592 - [c68]Ronald Tombe, Serestina Viriri, Jean Vincent Fonou Dombeu:
Scene Classification of Remote Sensing Images Based on ConvNet Features and Multi-grained Forest. ISVC (1) 2020: 731-740 - [c67]Jane Oruh, Serestina Viriri:
Spectral Analysis for Automatic Speech Recognition and Enhancement. MLN 2020: 245-254 - [c66]Ronald Tombe, Serestina Viriri:
Remote Sensing Scene Classification Based on Effective Feature Learning by Deep Residual Networks. MLN 2020: 320-336 - [c65]Fiza Murtaza, Umber Saba, Muhammad Haroon Yousaf, Serestina Viriri:
Plant Species Identification using Discriminant Bag of Words (DBoW). VISIGRAPP (5: VISAPP) 2020: 499-505
2010 – 2019
- 2019
- [j11]Stephen M. Akandwanaho, Serestina Viriri:
A spy search mechanism for memetic algorithm in dynamic environments. Appl. Soft Comput. 75: 203-214 (2019) - [c64]Jean Vincent Fonou Dombeu, Serestina Viriri:
OntoMetrics Evaluation of Quality of e-Government Ontologies. EGOVIS 2019: 189-203 - [c63]Kennedy Chengeta, Serestina Viriri:
Image Preprocessing Techniques for Facial Expression Recognition with Canny and Kirsch Edge Detectors. ICCCI (2) 2019: 85-96 - [c62]Salma M. Osman, Nahla Noor, Serestina Viriri:
Component-Based Gender Identification Using Local Binary Patterns. ICCCI (1) 2019: 307-315 - [c61]Olatunbosun Agbo-Ajala, Serestina Viriri:
Age Estimation of Real-Time Faces Using Convolutional Neural Network. ICCCI (1) 2019: 316-327 - [c60]Mandlenkosi Victor Gwetu, Jules-Raymond Tapamo, Serestina Viriri:
Exploring the Impact of Purity Gap Gain on the Efficiency and Effectiveness of Random Forest Feature Selection. ICCCI (1) 2019: 340-352 - [c59]Ronald Tombe, Serestina Viriri:
Fusion of LBP and Hu-Moments with Fisher Vectors in Remote Sensing Imagery. ICCCI (1) 2019: 403-413 - [c58]Adekanmi Adegun, Serestina Viriri:
An Enhanced Deep Learning Framework for Skin Lesions Segmentation. ICCCI (1) 2019: 414-425 - [c57]Adekanmi Adegun, Serestina Viriri:
Fully Convolutional Encoder-Decoder Architecture (FCEDA) for Skin Lesions Segmentation. ICCCI (1) 2019: 426-437 - [c56]Adekanmi Adegun, Serestina Viriri:
Deep Learning Model for Skin Lesion Segmentation: Fully Convolutional Network. ICIAR (2) 2019: 232-242 - [c55]Marwa Ahmed, Serestina Viriri:
Deep Learning Using Bayesian Optimization for Facial Age Estimation. ICIAR (2) 2019: 243-254 - [c54]Kennedy Chengeta, Serestina Viriri:
A Review of Local, Holistic and Deep Learning Approaches in Facial Expressions Recognition. ICTAS 2019: 1-7 - [c53]Olufisayo Ekundayo, Serestina Viriri:
Facial Expression Recognition: A Review of Methods, Performances and Limitations. ICTAS 2019: 1-6 - [c52]Anura Hiraman, Serestina Viriri, Mandlenkosi Victor Gwetu:
Efficient Region of Interest Detection for Liver Segmentation using 3D CT Scans. ICTAS 2019: 1-6 - [c51]Verosha Pillay, Serestina Viriri:
Skin Cancer Detection from Macroscopic Images. ICTAS 2019: 1-9 - [c50]Prashaan Pillay, Serestina Viriri:
Foresight: Real Time Facial Detection and Recognition Using WebAssembly and Localized Deep Neural Networks. ICTAS 2019: 1-6 - [c49]Ronald Tombe, Serestina Viriri:
Local Descriptors Parameter characterization with Fisher vectors for remote sensing images. ICTAS 2019: 1-5 - [c48]Omran Salih, Serestina Viriri, Adekanmi Adegun:
Skin Lesion Segmentation Based on Region-Edge Markov Random Field. ISVC (2) 2019: 407-418 - [c47]Olatunbosun Agbo-Ajala, Serestina Viriri:
Age Group and Gender Classification of Unconstrained Faces. ISVC (1) 2019: 418-429 - [c46]Abdelgader Abdelwhab Abdelgader, Serestina Viriri:
Deep Residual Learning for Human Identification Based on Facial Landmarks. IWANN (2) 2019: 61-72 - [c45]Vincent Majanga, Serestina Viriri:
A Deep Learning Approach for Automatic Segmentation of Dental Images. MIKE 2019: 143-152 - [c44]Divyan Hirasen, Verosha Pillay, Serestina Viriri, Mandlenkosi Victor Gwetu:
Skeletal Age Estimation from Hand Radiographs Using Transfer Learning. MIKE 2019: 165-176 - [c43]Omran Salih, Serestina Viriri:
Skin Lesion Segmentation Techniques Based on Markov Random Field. MIKE 2019: 210-220 - [c42]Nahla Nour, Serestina Viriri:
Facial Expression Recognition Using Directional Gradient Local Ternary Patterns. MIWAI 2019: 87-96 - [c41]Mandlenkosi Victor Gwetu, Jules-Raymond Tapamo, Serestina Viriri:
Random Forests with a Steepend Gini-Index Split Function and Feature Coherence Injection. MLN 2019: 255-272 - [c40]Olatunbosun Agbo-Ajala, Serestina Viriri:
Face-Based Age and Gender Classification Using Deep Learning Model. PSIVT Workshops 2019: 125-137 - [c39]Olufisayo Ekundayo, Serestina Viriri:
Deep Forest Approach for Facial Expression Recognition. PSIVT Workshops 2019: 149-161 - 2018
- [j10]Oluwakorede M. Oluyide, Jules-Raymond Tapamo, Serestina Viriri:
Automatic lung segmentation based on Graph Cut using a distance-constrained energy. IET Comput. Vis. 12(5): 609-615 (2018) - [c38]Kennedy Chengeta, Serestina Viriri:
Facial Expression Recognition using Local Directional Pattern variants and Deep Learning. ACAI 2018: 31:1-31:7 - [c37]Chukwuka G. Monyei, Serestina Viriri:
An Improved Comfort Biased Smart Home Load Manager for Grid Connected Homes Under Direct Load Control. HAIS 2018: 526-536 - [c36]Stephen M. Akandwanaho, Serestina Viriri:
Predictive Memetic Algorithm (PMA) for Combinatorial Optimization in Dynamic Environments. ICCCI (2) 2018: 100-110 - [c35]Mandlenkosi Victor Gwetu, Serestina Viriri, Jules-Raymond Tapamo:
Purity and Out of Bag Confidence Metrics for Random Forest Weighting. ICCCI (1) 2018: 491-502 - [c34]Kennedy Chengeta, Serestina Viriri:
Facial Expression Recognition: A Survey on Local Binary and Local Directional Patterns. ICCCI (1) 2018: 513-522 - [c33]Jenade Moodley, Serestina Viriri:
Weather Characterization from Outdoor Scene Images. ICCVG 2018: 160-170 - [c32]Darren Osterloh, Serestina Viriri:
Unsupervised Caries Detection in Non-standardized Periapical Dental X-Rays. ICCVG 2018: 329-340 - [c31]Mayibongwe H. Bayana, Serestina Viriri:
Gender classification based on fusion of facial components features. ICTAS 2018: 1-5 - [c30]Kennedy Chengeta, Serestina Viriri:
A survey on facial recognition based on local directional and local binary patterns. ICTAS 2018: 1-6 - [c29]Adam Hassan, Serestina Viriri:
Invariant feature extraction for facial recognition: A survey of the state-of-the-art. ICTAS 2018: 1-6 - [c28]Anura Hiraman, Serestina Viriri, Mandlenkosi Victor Gwetu:
Efficient 3D liver segmentation using enhanced image alignment. ICTAS 2018: 1-8 - [c27]Andile M. Miaba, Mandlenkosi Victor Gwetu, Serestina Viriri:
Online signature verification using hybrid transform features. ICTAS 2018: 1-5 - [c26]Salma Mohamed, Nahla Nour, Serestina Viriri:
Gender identification from facial images using global features. ICTAS 2018: 1-6 - [c25]Areeg M. Osman, Serestina Viriri:
Face verification across age progression: A survey of the state-of-the-art. ICTAS 2018: 1-6 - [c24]Omran Salih, Serestina Viriri:
Skin Cancer Segmentation Using a Unified Markov Random Field. ISVC 2018: 25-33 - [c23]Mayibongwe H. Bayana, Serestina Viriri, Raphael Angulu:
Gender Classification Based on Facial Shape and Texture Features. ISVC 2018: 157-166 - [c22]Jean Vincent Fonou Dombeu, Serestina Viriri:
CRank: A Novel Framework for Ranking Semantic Web Ontologies. MEDI 2018: 107-121 - [c21]Adegun Adekanmi Adeyinka, Serestina Viriri:
Skin Lesion Images Segmentation: A Survey of the State-of-the-Art. MIKE 2018: 321-330 - [c20]Omran Salih, Serestina Viriri:
Skin Lesion Segmentation Using Enhanced Unified Markov Random Field. MIKE 2018: 331-340 - 2017
- [j9]Keith Chikamai, Serestina Viriri, Jules-Raymond Tapamo:
Mammogram content-based image retrieval based on malignancy classification. Intell. Data Anal. 21(5): 1193-1212 (2017) - [c19]Andile M. Gumede, Serestina Viriri, Mandlenkosi Victor Gwetu:
Enhanced Hybrid Component-Based Face Recognition. ICCCI (1) 2017: 257-265 - [c18]Andile M. Gumede, Serestina Viriri, Mandlenkosi Victor Gwetu:
Hybrid component-based face recognition. ICTAS 2017: 1-6 - [c17]A. S. P. Mlaba, Mandlenkosi Victor Gwetu, Serestina Viriri:
A distance-based approach to modelling reference signature for verification. ICTAS 2017: 1-6 - [c16]Stephen M. Akandwanaho, Serestina Viriri:
A Spy Search Mechanism (SSM) for Memetic Algorithm (MA) in Dynamic Environments. MIWAI 2017: 450-461 - [c15]Andile M. Gumede, Serestina Viriri, Mandlenkosi Victor Gwetu:
Selecting Salient Features from Facial Components for Face Recognition. PSIVT Workshops 2017: 63-75 - 2016
- [j8]Serestina Viriri, Brett Lagerwall:
Increasing Face Recognition Rates Using Novel Classification Algorithms. Int. J. Comput. Commun. Control 11(3): 381-393 (2016) - [c14]A. Boyseens, Serestina Viriri:
Component-Based Ethnicity Identification from Facial Images. ICCVG 2016: 293-303 - [c13]Jules Raymond Kala, Serestina Viriri, Deshendran Moodley, Jules-Raymond Tapamo:
Leaf Classification Using Convexity Measure of Polygons. ICISP 2016: 51-60 - [c12]Jules R. Kala, Serestina Viriri, Deshendran Moodley:
Leaf Classification Using Convexity Moments of Polygons. ISVC (2) 2016: 330-339 - [c11]Darren Osterloh, Serestina Viriri:
Unsupervised Caries Detection in Non-standardized Bitewing Dental X-Rays. ISVC (1) 2016: 649-658 - 2015
- [j7]Temitope Mapayi, Serestina Viriri, Jules-Raymond Tapamo:
Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on GLCM-Energy Information. Comput. Math. Methods Medicine 2015: 597475:1-597475:11 (2015) - [j6]Temitope Mapayi, Serestina Viriri, Jules-Raymond Tapamo:
Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques. Comput. Math. Methods Medicine 2015: 895267:1-895267:15 (2015) - [c10]Simon Reade, Serestina Viriri:
Hybrid Age Estimation Using Facial Images. ICIAR 2015: 239-246 - [c9]Serestina Viriri:
Characterization of Medical Images Using Edge Density and Local Directional Pattern (LDP). ICIAR 2015: 394-401 - [c8]Temitope Mapayi, Serestina Viriri, Jules-Raymond Tapamo:
Retinal vessel segmentation based on phase congruence and GLCM sum-entropy. ICIT 2015: 1759-1764 - [c7]Jules R. Kala, Serestina Viriri, Deshendran Moodley:
Sinuosity Coefficients for Leaf Shape Characterisation. NaBIC 2015: 141-150 - 2014
- [j5]Mandlenkosi Victor Gwetu, Jules-Raymond Tapamo, Serestina Viriri:
Segmentation of retinal blood vessels using normalized Gabor filters and automatic thresholding. South Afr. Comput. J. 55: 12-24 (2014) - [c6]Temitope Mapayi, Serestina Viriri, Jules-Raymond Tapamo:
A New Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on Local Homogeneity Information. ICISP 2014: 558-567 - [c5]Serestina Viriri:
Handwritten Signature Verification Based on Enhanced Direction and Grid Features. ISVC (2) 2014: 820-829 - 2013
- [j4]Keith Chikamai, Serestina Viriri, Jules-Raymond Tapamo:
Combining Feature Methods for Content-Based Classification of Mammogram Images. Int. J. Comput. Commun. Control 8(4): 499-513 (2013) - [j3]Yaseen Moolla, Serestina Viriri, Fulufhelo V. Nelwamondo, Jules-Raymond Tapamo:
Offline signature verification using locally optimized distance-based classification. South Afr. Comput. J. 50: 15-27 (2013) - [c4]Brett Lagerwall, Serestina Viriri:
Robust real-time face recognition. SAICSIT 2013: 194-199 - 2012
- [j2]