Dynamic Caching Design Proto-Pattern for J2EE Web Component Development. - Serestina Viriri (J. Object Technol., 2003)

Signature Verification Based on Handwritten Text Recognition. - Serestina Viriri; Jules-Raymond Tapamo (FGIT-SIP, 2009)

Improving Iris-Based Personal Identification Using Maximum Rectangular Region Detection. - Serestina Viriri; Jules-Raymond Tapamo (ICDIP, 2009)

Local directional pattern based signature verification using weighted fractional distance classification. - Yaseen Moolla; Serestina Viriri; Jules-Raymond Tapamo; Fulufhelo V. Nelwamondo (SAICSIT, 2012)

Integrating Iris and Signature Traits for Personal Authentication Using User-SpecificWeighting. - Serestina Viriri; Jules-Raymond Tapamo (Sensors, 2012)

Robust real-time face recognition. - Brett Lagerwall; Serestina Viriri (SAICSIT, 2013)

Combining Feature Methods for Content-Based Classification of Mammogram Images. - Keith Chikamai; Serestina Viriri; Jules-Raymond Tapamo (Int. J. Comput. Commun. Control, 2013)

Offline signature verification using locally optimized distance-based classification. - Yaseen Moolla; Serestina Viriri; Fulufhelo V. Nelwamondo; Jules-Raymond Tapamo (South Afr. Comput. J., 2013)

A New Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on Local Homogeneity Information. - Temitope Mapayi; Serestina Viriri; Jules-Raymond Tapamo (ICISP, 2014)

Handwritten Signature Verification Based on Enhanced Direction and Grid Features. - Serestina Viriri (ISVC (2), 2014)

Segmentation of retinal blood vessels using normalized Gabor filters and automatic thresholding. - Mandlenkosi Victor Gwetu; Jules-Raymond Tapamo; Serestina Viriri (South Afr. Comput. J., 2014)

Hybrid Age Estimation Using Facial Images. - Simon Reade; Serestina Viriri (ICIAR, 2015)

Characterization of Medical Images Using Edge Density and Local Directional Pattern (LDP). - Serestina Viriri (ICIAR, 2015)

Retinal vessel segmentation based on phase congruence and GLCM sum-entropy. - Temitope Mapayi; Serestina Viriri; Jules-Raymond Tapamo (ICIT, 2015)

Sinuosity Coefficients for Leaf Shape Characterisation. - Jules R. Kala; Serestina Viriri; Deshendran Moodley (NaBIC, 2015)

Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques. - Temitope Mapayi; Serestina Viriri; Jules-Raymond Tapamo (Comput. Math. Methods Medicine, 2015)

Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on GLCM-Energy Information. - Temitope Mapayi; Serestina Viriri; Jules-Raymond Tapamo (Comput. Math. Methods Medicine, 2015)

Component-Based Ethnicity Identification from Facial Images. - A. Boyseens; Serestina Viriri (ICCVG, 2016)

Leaf Classification Using Convexity Measure of Polygons. - Jules Raymond Kala; Serestina Viriri; Deshendran Moodley; Jules-Raymond Tapamo (ICISP, 2016)

Leaf Classification Using Convexity Moments of Polygons. - Jules R. Kala; Serestina Viriri; Deshendran Moodley (ISVC (2), 2016)

Unsupervised Caries Detection in Non-standardized Bitewing Dental X-Rays. - Darren Osterloh; Serestina Viriri (ISVC (1), 2016)

Increasing Face Recognition Rates Using Novel Classification Algorithms. - Serestina Viriri; Brett Lagerwall (Int. J. Comput. Commun. Control, 2016)

Enhanced Hybrid Component-Based Face Recognition. - Andile M. Gumede; Serestina Viriri; Mandlenkosi Victor Gwetu (ICCCI (1), 2017)

Hybrid component-based face recognition. - Andile M. Gumede; Serestina Viriri; Mandlenkosi Victor Gwetu (ICTAS, 2017)

A distance-based approach to modelling reference signature for verification. - A. S. P. Mlaba; Mandlenkosi Victor Gwetu; Serestina Viriri (ICTAS, 2017)

A Spy Search Mechanism (SSM) for Memetic Algorithm (MA) in Dynamic Environments. - Stephen M. Akandwanaho; Serestina Viriri (MIWAI, 2017)

Selecting Salient Features from Facial Components for Face Recognition. - Andile M. Gumede; Serestina Viriri; Mandlenkosi Victor Gwetu (PSIVT Workshops, 2017)

Mammogram content-based image retrieval based on malignancy classification. - Keith Chikamai; Serestina Viriri; Jules-Raymond Tapamo (Intell. Data Anal., 2017)

Facial Expression Recognition using Local Directional Pattern variants and Deep Learning. - Kennedy Chengeta; Serestina Viriri (ACAI, 2018)

An Improved Comfort Biased Smart Home Load Manager for Grid Connected Homes Under Direct Load Control. - Chukwuka G. Monyei; Serestina Viriri (HAIS, 2018)

Predictive Memetic Algorithm (PMA) for Combinatorial Optimization in Dynamic Environments. - Stephen M. Akandwanaho; Serestina Viriri (ICCCI (2), 2018)

Facial Expression Recognition: A Survey on Local Binary and Local Directional Patterns. - Kennedy Chengeta; Serestina Viriri (ICCCI (1), 2018)

Purity and Out of Bag Confidence Metrics for Random Forest Weighting. - Mandlenkosi Victor Gwetu; Serestina Viriri; Jules-Raymond Tapamo (ICCCI (1), 2018)

Weather Characterization from Outdoor Scene Images. - Jenade Moodley; Serestina Viriri (ICCVG, 2018)

Unsupervised Caries Detection in Non-standardized Periapical Dental X-Rays. - Darren Osterloh; Serestina Viriri (ICCVG, 2018)

Gender classification based on fusion of facial components features. - Mayibongwe H. Bayana; Serestina Viriri (ICTAS, 2018)

A survey on facial recognition based on local directional and local binary patterns. - Kennedy Chengeta; Serestina Viriri (ICTAS, 2018)

Invariant feature extraction for facial recognition: A survey of the state-of-the-art. - Adam Hassan; Serestina Viriri (ICTAS, 2018)

Efficient 3D liver segmentation using enhanced image alignment. - Anura Hiraman; Serestina Viriri; Mandlenkosi Victor Gwetu (ICTAS, 2018)

Online signature verification using hybrid transform features. - Andile M. Miaba; Mandlenkosi Victor Gwetu; Serestina Viriri (ICTAS, 2018)

Gender identification from facial images using global features. - Salma Mohamed; Nahla Nour; Serestina Viriri (ICTAS, 2018)

Face verification across age progression: A survey of the state-of-the-art. - Areeg M. Osman; Serestina Viriri (ICTAS, 2018)

Gender Classification Based on Facial Shape and Texture Features. - Mayibongwe H. Bayana; Serestina Viriri; Raphael Angulu (ISVC, 2018)

Skin Cancer Segmentation Using a Unified Markov Random Field. - Omran Salih; Serestina Viriri (ISVC, 2018)

CRank: A Novel Framework for Ranking Semantic Web Ontologies. - Jean Vincent Fonou Dombeu; Serestina Viriri (MEDI, 2018)

Skin Lesion Images Segmentation: A Survey of the State-of-the-Art. - Adegun Adekanmi Adeyinka; Serestina Viriri (MIKE, 2018)

Skin Lesion Segmentation Using Enhanced Unified Markov Random Field. - Omran Salih; Serestina Viriri (MIKE, 2018)

Automatic lung segmentation based on Graph Cut using a distance-constrained energy. - Oluwakorede M. Oluyide; Jules-Raymond Tapamo; Serestina Viriri (IET Comput. Vis., 2018)

OntoMetrics Evaluation of Quality of e-Government Ontologies. - Jean Vincent Fonou Dombeu; Serestina Viriri (EGOVIS, 2019)

An Enhanced Deep Learning Framework for Skin Lesions Segmentation. - Adekanmi Adegun; Serestina Viriri (ICCCI (1), 2019)

Fully Convolutional Encoder-Decoder Architecture (FCEDA) for Skin Lesions Segmentation. - Adekanmi Adegun; Serestina Viriri (ICCCI (1), 2019)

Age Estimation of Real-Time Faces Using Convolutional Neural Network. - Olatunbosun Agbo-Ajala; Serestina Viriri (ICCCI (1), 2019)

Image Preprocessing Techniques for Facial Expression Recognition with Canny and Kirsch Edge Detectors. - Kennedy Chengeta; Serestina Viriri (ICCCI (2), 2019)

Exploring the Impact of Purity Gap Gain on the Efficiency and Effectiveness of Random Forest Feature Selection. - Mandlenkosi Victor Gwetu; Jules-Raymond Tapamo; Serestina Viriri (ICCCI (1), 2019)

Component-Based Gender Identification Using Local Binary Patterns. - Salma M. Osman; Nahla Noor; Serestina Viriri (ICCCI (1), 2019)

Fusion of LBP and Hu-Moments with Fisher Vectors in Remote Sensing Imagery. - Ronald Tombe; Serestina Viriri (ICCCI (1), 2019)

Deep Learning Model for Skin Lesion Segmentation: Fully Convolutional Network. - Adekanmi Adegun; Serestina Viriri (ICIAR (2), 2019)

Deep Learning Using Bayesian Optimization for Facial Age Estimation. - Marwa Ahmed; Serestina Viriri (ICIAR (2), 2019)

A Review of Local, Holistic and Deep Learning Approaches in Facial Expressions Recognition. - Kennedy Chengeta; Serestina Viriri (ICTAS, 2019)

Facial Expression Recognition: A Review of Methods, Performances and Limitations. - Olufisayo Ekundayo; Serestina Viriri (ICTAS, 2019)

Efficient Region of Interest Detection for Liver Segmentation using 3D CT Scans. - Anura Hiraman; Serestina Viriri; Mandlenkosi Victor Gwetu (ICTAS, 2019)

Skin Cancer Detection from Macroscopic Images. - Verosha Pillay; Serestina Viriri (ICTAS, 2019)

Foresight: Real Time Facial Detection and Recognition Using WebAssembly and Localized Deep Neural Networks. - Prashaan Pillay; Serestina Viriri (ICTAS, 2019)

Local Descriptors Parameter characterization with Fisher vectors for remote sensing images. - Ronald Tombe; Serestina Viriri (ICTAS, 2019)

Age Group and Gender Classification of Unconstrained Faces. - Olatunbosun Agbo-Ajala; Serestina Viriri (ISVC (1), 2019)

Skin Lesion Segmentation Based on Region-Edge Markov Random Field. - Omran Salih; Serestina Viriri; Adekanmi Adegun (ISVC (2), 2019)

Deep Residual Learning for Human Identification Based on Facial Landmarks. - Abdelgader Abdelwhab Abdelgader; Serestina Viriri (IWANN (2), 2019)

Skeletal Age Estimation from Hand Radiographs Using Transfer Learning. - Divyan Hirasen; Verosha Pillay; Serestina Viriri; Mandlenkosi Victor Gwetu (MIKE, 2019)

A Deep Learning Approach for Automatic Segmentation of Dental Images. - Vincent Majanga; Serestina Viriri (MIKE, 2019)

Skin Lesion Segmentation Techniques Based on Markov Random Field. - Omran Salih; Serestina Viriri (MIKE, 2019)

Facial Expression Recognition Using Directional Gradient Local Ternary Patterns. - Nahla Nour; Serestina Viriri (MIWAI, 2019)

Random Forests with a Steepend Gini-Index Split Function and Feature Coherence Injection. - Mandlenkosi Victor Gwetu; Jules-Raymond Tapamo; Serestina Viriri (MLN, 2019)

Face-Based Age and Gender Classification Using Deep Learning Model. - Olatunbosun Agbo-Ajala; Serestina Viriri (PSIVT Workshops, 2019)

Deep Forest Approach for Facial Expression Recognition. - Olufisayo Ekundayo; Serestina Viriri (PSIVT Workshops, 2019)

A spy search mechanism for memetic algorithm in dynamic environments. - Stephen M. Akandwanaho; Serestina Viriri (Appl. Soft Comput., 2019)

Deep Convolutional Network-Based Framework for Melanoma Lesion Detection and Segmentation. - Adekanmi Adegun; Serestina Viriri (ACIVS, 2020)

Retinal Image Segmentation Through Valley Emphasis Thresholding of the Gabor Filter Response. - Mandlenkosi Victor Gwetu; Jules-Raymond Tapamo; Serestina Viriri (ICCCI, 2020)

Macroscopic Skin Lesion Segmentation Using GrabCut. - Verosha Pillay; Divyan Hirasen; Serestina Viriri; Mandlenkosi Victor Gwetu (ICCCI, 2020)

Melanoma Skin Cancer Classification Using Transfer Learning. - Verosha Pillay; Divyan Hirasen; Serestina Viriri; Mandlenkosi Victor Gwetu (ICCCI (CCIS Volume), 2020)

Exploration of Ear Biometrics with Deep Learning. - Aimee Booysens; Serestina Viriri (ICCVG, 2020)

Tuberculosis Abnormality Detection in Chest X-Rays: A Deep Learning Approach. - Mustapha Oloko-Oba; Serestina Viriri (ICCVG, 2020)

Dynamic Local Ternary Patterns for Gender Identification Using Facial Components. - Salma M. Osman; Serestina Viriri (ICCVG, 2020)

Diagnosing Tuberculosis Using Deep Convolutional Neural Network. - Mustapha Oloko-Oba; Serestina Viriri (ICISP, 2020)

Online Signature Verification using Deep Descriptors. - Abigail Singh; Serestina Viriri (ICTAS, 2020)

Enhanced Convolutional Neural Networks for Segmentation of Retinal Blood Vessel Image. - Olubunmi Omobola Sule; Serestina Viriri (ICTAS, 2020)

Facial Expression Recognition and Ordinal Intensity Estimation: A Multilabel Learning Approach. - Olufisayo Ekundayo; Serestina Viriri (ISVC (2), 2020)

Pre-trained Convolutional Neural Network for the Diagnosis of Tuberculosis. - Mustapha Oloko-Oba; Serestina Viriri (ISVC (2), 2020)

Scene Classification of Remote Sensing Images Based on ConvNet Features and Multi-grained Forest. - Ronald Tombe; Serestina Viriri; Jean Vincent Fonou Dombeu (ISVC (1), 2020)

Spectral Analysis for Automatic Speech Recognition and Enhancement. - Jane Oruh; Serestina Viriri (MLN, 2020)

Remote Sensing Scene Classification Based on Effective Feature Learning by Deep Residual Networks. - Ronald Tombe; Serestina Viriri (MLN, 2020)

Plant Species Identification using Discriminant Bag of Words (DBoW). - Fiza Murtaza; Umber Saba; Muhammad Haroon Yousaf; Serestina Viriri (VISIGRAPP (5: VISAPP), 2020)

Deep Learning-Based System for Automatic Melanoma Detection. - Adekanmi Adegun; Serestina Viriri (IEEE Access, 2020)

FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images. - Adekanmi Adeyinka Adegun; Serestina Viriri (IEEE Access, 2020)

A Lightweight Convolutional Neural Network for Real and Apparent Age Estimation in Unconstrained Face Images. - Olatunbosun Agbo-Ajala; Serestina Viriri (IEEE Access, 2020)

A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems. - Absalom E. Ezugwu; Olawale Joshua Adeleke; Andronicus Ayobami Akinyelu; Serestina Viriri (Neural Comput. Appl., 2020)

A Hybrid Feature Method for Handling Redundant Features in a Sentinel-2 Multidate Image for Mapping Parthenium Weed. - Zolo Kiala; Onisimo Mutanga; John Odindi; Serestina Viriri; Mbulisi Sibanda (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Skin Lesion Segmentation Using Stochastic Region-Merging and Pixel-Based Markov Random Field. - Omran Salih; Serestina Viriri (Symmetry, 2020)

Dropout Regularization for Automatic Segmented Dental Images. - Vincent Majanga; Serestina Viriri (ACIIDS (Companion), 2021)

Contrast Enhancement in Deep Convolutional Neural Networks for Segmentation of Retinal Blood Vessels. - Olubunmi Omobola Sule; Serestina Viriri; Mandlenkosi Victor Gwetu (ACIIDS (Companion), 2021)

Towards Exploiting Convolutional Features for Remote Sensing Images Scene Classification. - Ronald Tombe; Serestina Viriri (ACIIDS (Companion), 2021)

Ensemble of Convolution Neural Networks for Automatic Tuberculosis Classification. - Mustapha Oloko-Oba; Serestina Viriri (ICCCI, 2021)

Deep Learning with Optimization Techniques for the Classification of Spoken English Digit. - Jane Oruh; Serestina Viriri (ICCCI, 2021)

Underwater Image Enhancement Using Adaptive Algorithms. - Shaneer Luchman; Serestina Viriri (IWAIPR, 2021)

Enhanced Convolutional Neural Network for Age Estimation. - Idowu Aruleba; Serestina Viriri (IWANN (1), 2021)

Deep Learning for Age Estimation Using EfficientNet. - Idowu Aruleba; Serestina Viriri (IWANN (1), 2021)

Skeletal Age Estimation from Hand Radiographs Using Ensemble Deep Learning. - Divyan Hirasen; Verosha Pillay; Serestina Viriri; Mandlenkosi Victor Gwetu (MCPR, 2021)

Long Short-Term Memory Recurrent Neural Network for Automatic Recognition of Spoken English Digits. - Jane Oruh; Serestina Viriri (MIKE, 2021)

Automatic Baggage Threat Detection Using Deep Attention Networks. - Yashay Rampershad; Serestina Viriri; Mandlenkosi Victor Gwetu (SACAIR, 2021)

Facial Expression Recognition: A Review of Trends and Techniques. - Olufisayo Ekundayo; Serestina Viriri (IEEE Access, 2021)

Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art. - Adekanmi Adegun; Serestina Viriri (Artif. Intell. Rev., 2021)

Deep learning approach for facial age classification: a survey of the state-of-the-art. - Olatunbosun Agbo-Ajala; Serestina Viriri (Artif. Intell. Rev., 2021)

Deep Learning Approach for Medical Image Analysis. - Adekanmi Adeyinka Adegun; Serestina Viriri; Roseline Oluwaseun Ogundokun (Comput. Intell. Neurosci., 2021)

Facial Expression Recognition of Instructor Using Deep Features and Extreme Learning Machine. - Yusra Khalid Bhatti; Afshan Jamil; Nudrat Nida; Muhammad Haroon Yousaf; Serestina Viriri; Sergio A. Velastin (Comput. Intell. Neurosci., 2021)

Detection of COVID-19 from CT Lung Scans Using Transfer Learning. - Sahil Lawton; Serestina Viriri (Comput. Intell. Neurosci., 2021)

Dental Images' Segmentation Using Threshold Connected Component Analysis. - Vincent Majanga; Serestina Viriri (Comput. Intell. Neurosci., 2021)

Classification of Hematoxylin and Eosin-Stained Breast Cancer Histology Microscopy Images Using Transfer Learning with EfficientNets. - Chanaleä Munien; Serestina Viriri (Comput. Intell. Neurosci., 2021)

Ensemble of EfficientNets for the Diagnosis of Tuberculosis. - Mustapha Oloko-Oba; Serestina Viriri (Comput. Intell. Neurosci., 2021)

Off-Line Arabic Handwritten Words Segmentation using Morphological Operators. - Nisreen AbdAllah; Serestina Viriri (CoRR, 2021)

Deep Learning for Brain Tumor Segmentation: A Survey of State-of-the-Art. - Tirivangani Magadza; Serestina Viriri (J. Imaging, 2021)

Multilabel convolution neural network for facial expression recognition and ordinal intensity estimation. - Olufisayo Ekundayo; Serestina Viriri (PeerJ Comput. Sci., 2021)

Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification. - Ronald Tombe; Serestina Viriri (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Robust Deep Transfer Learning Model for Accurate Speech Emotion Classification. - Samson Akinpelu; Serestina Viriri (ISVC (2), 2022)

Brain Tumor Segmentation Using Partial Depthwise Separable Convolutions. - Tirivangani Magadza; Serestina Viriri (IEEE Access, 2022)

Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition. - Jane Oruh; Serestina Viriri; Adekanmi Adegun (IEEE Access, 2022)

Ear Biometrics Using Deep Learning: A Survey. - Aimee Booysens; Serestina Viriri (Appl. Comput. Intell. Soft Comput., 2022)

Apparent age prediction from faces: A survey of modern approaches. - Olatunbosun Agbo-Ajala; Serestina Viriri; Mustapha Oloko-Oba; Olufisayo Ekundayo; Reolyn Heymann (Frontiers Big Data, 2022)

Kidney Tumor Semantic Segmentation Using Deep Learning: A Survey of State-of-the-Art. - Abubaker Abdelrahman; Serestina Viriri (J. Imaging, 2022)

An Architecture for Cognitive Computing in Healthcare. - Ronald Tombe; Fredrick Mzee Awuor; Serestina Viriri (J. Ubiquitous Syst. Pervasive Networks, 2022)

Intelligent Automated Pancreas Segmentation Using U-Net Model Variants. - Wilson Bakasa; Serestina Viriri (ICCCI, 2023)

Retinal Disease Diagnosis with a Hybrid ResNet50-LSTM Deep Learning. - Stewart Muchuchuti; Serestina Viriri (ISVC (2), 2023)

Transformation Network Model for Ear Recognition. - Aimee Booysens; Serestina Viriri (MLN, 2023)

Human Fall Detection from Sequences of Skeleton Features using Vision Transformer. - Ali Raza; Muhammad Haroon Yousaf; Sergio A. Velastin; Serestina Viriri (VISIGRAPP (5: VISAPP), 2023)

Light Gradient-Boosting Machine Edge Detection With Cropping Layer for Semantic Segmentation of Pancreas. - Wilson Bakasa; Serestina Viriri (Adv. Artif. Intell. Mach. Learn., 2023)

Lightweight Deep Learning Framework for Speech Emotion Recognition. - Samson Akinpelu; Serestina Viriri; Adekanmi Adegun (IEEE Access, 2023)

Efficient nnU-Net for Brain Tumor Segmentation. - Tirivangani Magadza; Serestina Viriri (IEEE Access, 2023)

EfficientNet family U-Net models for deep learning semantic segmentation of kidney tumors on CT images. - Abubaker Abdelrahman; Serestina Viriri (Frontiers Comput. Sci., 2023)

VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction. - Wilson Bakasa; Serestina Viriri (J. Imaging, 2023)

Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review. - Stewart Muchuchuti; Serestina Viriri (J. Imaging, 2023)

mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. - Emmanuel Oluwatobi Asani; Yomi Phineas Osadeyi; Adekanmi Adeyinka Adegun; Serestina Viriri; Joyce Ayoola; Ebenezer Ayorinde Kolawole (Frontiers Artif. Intell., 2023)

Corrigendum: mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. - Emmanuel Oluwatobi Asani; Yomi Phineas Osadeyi; Adekanmi Adeyinka Adegun; Serestina Viriri; Joyce Ayoola; Ebenezer Ayorinde Kolawole (Frontiers Artif. Intell., 2023)

Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting. - Wilson Bakasa; Serestina Viriri (Frontiers Artif. Intell., 2023)

Contrast Enhancement of RGB Retinal Fundus Images for Improved Segmentation of Blood Vessels Using Convolutional Neural Networks. - Olubunmi Omobola Sule; Serestina Viriri (J. Digit. Imaging, 2023)

State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images. - Adekanmi Adeyinka Adegun; Jean Vincent Fonou Dombeu; Serestina Viriri; John Odindi (Sensors, 2023)

Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis. - Adekanmi Adeyinka Adegun; Serestina Viriri; Jules-Raymond Tapamo (J. Big Data, 2023)

Bi-Feature Selection Deep Learning-Based Techniques for Speech Emotion Recognition. - Samson Akinpelu; Serestina Viriri (ISVC (1), 2024)

Efficient Lung Segmentation for Tumour Detection. - Anura Hiraman; Serestina Viriri; Mandlenkosi Victor Gwetu (ISVC (1), 2024)

Hybrid Deep Learning Model for Pancreatic Cancer Image Segmentation. - Wilson Bakasa; Clopas Kwenda; Serestina Viriri (AIPAD/PILM@MICCAI, 2024)

Deep Learning Framework for Speech Emotion Classification: A Survey of the State-of-the-Art. - Samson Akinpelu; Serestina Viriri (IEEE Access, 2024)

Exploring dermoscopic structures for melanoma lesions' classification. - Fiza Saeed Malik; Muhammad Haroon Yousaf; Hassan Ahmed Sial; Serestina Viriri (Frontiers Big Data, 2024)

Automated classification of remote sensing satellite images using deep learning based vision transformer. - Adekanmi Adegun; Serestina Viriri; Jules-Raymond Tapamo (Appl. Intell., 2024)

Human fall detection using pose estimation: From traditional machine learning to vision transformers. - Ali Raza; Muhammad Haroon Yousaf; Waqar Ahmad; Sergio A. Velastin; Serestina Viriri (Eng. Appl. Artif. Intell., 2025)

Lung tumor segmentation: a review of the state of the art. - Anura Hiraman; Serestina Viriri; Mandlenkosi Victor Gwetu (Frontiers Comput. Sci., 2025)

SwinTSER: An Improved Bilingual Speech Emotion Recognition Using Shift Window Transformer. - Samson Akinpelu; Serestina Viriri; Muhammad Haroon Yousaf (Cogn. Comput., 2025)