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ORCIDSerestina Viriri
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- affiliation: University of KwaZulu-Natal
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2020 – today
- 2025
[j52]Ali Raza, Muhammad Haroon Yousaf
, Waqar Ahmad, Sergio A. Velastin, Serestina Viriri:
Human fall detection using pose estimation: From traditional machine learning to vision transformers. Eng. Appl. Artif. Intell. 143: 109809 (2025)- [j51]Anura Hiraman, Serestina Viriri, Mandlenkosi Victor Gwetu:
Lung tumor segmentation: a review of the state of the art. Frontiers Comput. Sci. 6 (2025) - [e2]Federica Proietto Salanitri, Serestina Viriri, Ulas Bagci, Pallavi Tiwari, Boqing Gong, Concetto Spampinato, Simone Palazzo, Giovanni Bellitto, Nancy Zlatintsi, Panagiotis Paraskevas Filntisis, Cecilia S. Lee, Aaron Y. Lee:
Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine - First International Workshop, AIPAD 2024 and First International Workshop, PILM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15197, Springer 2025, ISBN 978-3-031-73482-3 [contents] - 2024
- [j50]Samson Akinpelu, Serestina Viriri:
Deep Learning Framework for Speech Emotion Classification: A Survey of the State-of-the-Art. IEEE Access 12: 152152-152182 (2024) - [j49]Adekanmi Adegun, Serestina Viriri, Jules-Raymond Tapamo:
Automated classification of remote sensing satellite images using deep learning based vision transformer. Appl. Intell. 54(24): 13018-13037 (2024) - [j48]Fiza Saeed Malik, Muhammad Haroon Yousaf, Hassan Ahmed Sial, Serestina Viriri:
Exploring dermoscopic structures for melanoma lesions' classification. Frontiers Big Data 7 (2024) - [c99]Samson Akinpelu, Serestina Viriri:
Bi-Feature Selection Deep Learning-Based Techniques for Speech Emotion Recognition. ISVC (1) 2024: 345-356 - [c98]Anura Hiraman, Serestina Viriri, Mandlenkosi Victor Gwetu:
Efficient Lung Segmentation for Tumour Detection. ISVC (1) 2024: 507-518 - [c97]Wilson Bakasa, Clopas Kwenda, Serestina Viriri:
Hybrid Deep Learning Model for Pancreatic Cancer Image Segmentation. AIPAD/PILM@MICCAI 2024: 14-24 - 2023
- [j47]Wilson Bakasa, Serestina Viriri:
Light Gradient-Boosting Machine Edge Detection With Cropping Layer for Semantic Segmentation of Pancreas. Adv. Artif. Intell. Mach. Learn. 3(3): 1274-1294 (2023) - [j46]Samson Akinpelu, Serestina Viriri, Adekanmi Adegun:
Lightweight Deep Learning Framework for Speech Emotion Recognition. IEEE Access 11: 77086-77098 (2023) - [j45]Tirivangani Magadza, Serestina Viriri:
Efficient nnU-Net for Brain Tumor Segmentation. IEEE Access 11: 126386-126397 (2023) - [j44]Abubaker Abdelrahman, Serestina Viriri:
EfficientNet family U-Net models for deep learning semantic segmentation of kidney tumors on CT images. Frontiers Comput. Sci. 5 (2023) - [j43]Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi Adeyinka Adegun, Serestina Viriri, Joyce Ayoola, Ebenezer Ayorinde Kolawole:
mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. Frontiers Artif. Intell. 6 (2023) - [j42]Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi Adeyinka Adegun, Serestina Viriri, Joyce Ayoola, Ebenezer Ayorinde Kolawole:
Corrigendum: mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. Frontiers Artif. Intell. 6 (2023) - [j41]Wilson Bakasa, Serestina Viriri:
Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting. Frontiers Artif. Intell. 6 (2023) - [j40]Adekanmi Adeyinka Adegun, Serestina Viriri, Jules-Raymond Tapamo:
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis. J. Big Data 10(1): 93 (2023) - [j39]Olubunmi Omobola Sule, Serestina Viriri:
Contrast Enhancement of RGB Retinal Fundus Images for Improved Segmentation of Blood Vessels Using Convolutional Neural Networks. J. Digit. Imaging 36(2): 414-432 (2023) - [j38]Stewart Muchuchuti, Serestina Viriri:
Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review. J. Imaging 9(4): 84 (2023) - [j37]Wilson Bakasa, Serestina Viriri:
VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction. J. Imaging 9(7): 138 (2023) - [j36]Adekanmi Adeyinka Adegun, Jean Vincent Fonou Dombeu, Serestina Viriri, John Odindi:
State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images. Sensors 23(13): 5849 (2023) - [c96]Wilson Bakasa, Serestina Viriri:
Intelligent Automated Pancreas Segmentation Using U-Net Model Variants. ICCCI 2023: 606-618 - [c95]Stewart Muchuchuti, Serestina Viriri:
Retinal Disease Diagnosis with a Hybrid ResNet50-LSTM Deep Learning. ISVC (2) 2023: 358-369 - [c94]Aimee Booysens, Serestina Viriri:
Transformation Network Model for Ear Recognition. MLN 2023: 250-266 - [c93]Ali Raza, Muhammad Haroon Yousaf, Sergio A. Velastin, Serestina Viriri:
Human Fall Detection from Sequences of Skeleton Features using Vision Transformer. VISIGRAPP (5: VISAPP) 2023: 591-598 - 2022
- [j35]Jane Oruh, Serestina Viriri, Adekanmi Adegun:
Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition. IEEE Access 10: 30069-30079 (2022) - [j34]Tirivangani Magadza, Serestina Viriri:
Brain Tumor Segmentation Using Partial Depthwise Separable Convolutions. IEEE Access 10: 124206-124216 (2022) - [j33]Aimee Booysens, Serestina Viriri:
Ear Biometrics Using Deep Learning: A Survey. Appl. Comput. Intell. Soft Comput. 2022: 9692690:1-9692690:17 (2022) - [j32]Olatunbosun Agbo-Ajala, Serestina Viriri, Mustapha Oloko-Oba, Olufisayo Ekundayo, Reolyn Heymann:
Apparent age prediction from faces: A survey of modern approaches. Frontiers Big Data 5 (2022) - [j31]Abubaker Abdelrahman, Serestina Viriri:
Kidney Tumor Semantic Segmentation Using Deep Learning: A Survey of State-of-the-Art. J. Imaging 8(3): 55 (2022) - [j30]Ronald Tombe, Fredrick Mzee Awuor, Serestina Viriri:
An Architecture for Cognitive Computing in Healthcare. J. Ubiquitous Syst. Pervasive Networks 17(2): 83-90 (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 Joshua 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]Serestina Viriri, Jules-Raymond Tapamo:
Integrating Iris and Signature Traits for Personal Authentication Using User-SpecificWeighting. Sensors 12(4): 4324-4338 (2012) - [c3]Yaseen Moolla, Serestina Viriri, Jules-Raymond Tapamo, Fulufhelo V. Nelwamondo:
Local directional pattern based signature verification using weighted fractional distance classification. SAICSIT 2012: 79-83
2000 – 2009
- 2009
- [c2]Serestina Viriri, Jules-Raymond Tapamo:
Signature Verification Based on Handwritten Text Recognition. FGIT-SIP 2009: 98-105 - [c1]Serestina Viriri, Jules-Raymond Tapamo:
Improving Iris-Based Personal Identification Using Maximum Rectangular Region Detection. ICDIP 2009: 421-425 - 2003
- [j1]Serestina Viriri:
Dynamic Caching Design Proto-Pattern for J2EE Web Component Development. J. Object Technol. 2(4): 113-117 (2003)
Coauthor Index
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