Reconstruction of 3D Human Facial Images Using Partial Differential Equations. - Eyad Elyan; Hassan Ugail (J. Comput., 2007)

Interactive Surface Design and Manipulation Using PDE-Method through Autodesk Maya Plug-in. - Eyad Elyan; Hassan Ugail (CW, 2009)

Automatic 3D Face Recognition Using Fourier Descriptors. - Eyad Elyan; Hassan Ugail (CW, 2009)

Automatic Features Characterization from 3D Facial Images. - Eyad Elyan; Hassan Ugail (CGVR, 2010)

Video Retrieval Based on Words-of-Interest Selection. - Lei Wang 198; Dawei Song 001; Eyad Elyan (ECIR, 2011)

Words-of-interest selection based on temporal motion coherence for video retrieval. - Lei Wang 198; Dawei Song 001; Eyad Elyan (SIGIR, 2011)

The acquisition of spatial navigational skills from dynamic versus static visualisations. - Olurotimi Richard Akinlofa; Patrik O'Brian Holt; Eyad Elyan (BCS HCI, 2012)

Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval. - Lei Wang 198; Dawei Song 001; Eyad Elyan (CIKM, 2012)

Enhanced interactivity and engagement: Learning by doing to simplify mathematical concepts in computer graphics and animation. - Eyad Elyan (EDUCON, 2012)

Domain expertise and the effectiveness of dynamic simulator interfaces in the acquisition of procedural motor skills. - Olurotimi Richard Akinlofa; Patrik O'Brian Holt; Eyad Elyan (Br. J. Educ. Technol., 2013)

Effect of Interface Dynamism on Learning Procedural Motor Skills. - Olurotimi Richard Akinlofa; Patrik O'Brian Holt; Eyad Elyan (Interact. Comput., 2013)

Diversified Random Forests Using Random Subspaces. - Khaled Fawagreh; Mohamed Medhat Gaber; Eyad Elyan (IDEAL, 2014)

Rebuilding Visual Vocabulary via Spatial-temporal Context Similarity for Video Retrieval. - Lei Wang 198; Eyad Elyan; Dawei Song 001 (MMM (1), 2014)

The cognitive benefits of dynamic representations in the acquisition of spatial navigation skills. - Olurotimi Richard Akinlofa; Patrik O'Brian Holt; Eyad Elyan (Comput. Hum. Behav., 2014)

The Cognitive Benefit of Dynamic Representations on Procedural Skill Acquisition: A Computational Modeling Approach. - Olurotimi Richard Akinlofa; Patrik O'Brian Holt; Eyad Elyan (Int. J. Hum. Comput. Interact., 2014)

CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests. - Khaled Fawagreh; Mohamed Medhat Gaber; Eyad Elyan (SGAI Conf., 2015)

A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests. - Khaled Fawagreh; Mohamed Medhat Gaber; Eyad Elyan (SGAI Conf., 2015)

On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber; Eyad Elyan (Comput. Intell. Neurosci., 2015)

On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications. - Khaled Fawagreh; Mohamed Medhat Gaber; Eyad Elyan (CoRR, 2015)

An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests. - Khaled Fawagreh; Mohamed Medhat Gaber; Eyad Elyan (CoRR, 2015)

An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests. - Khaled Fawagreh; Mohamed Medhat Gaber; Eyad Elyan (EANN, 2016)

Deep Active Learning for Autonomous Navigation. - Ahmed Hussein 001; Mohamed Medhat Gaber; Eyad Elyan (EANN, 2016)

A fine-grained Random Forests using class decomposition: an application to medical diagnosis. - Eyad Elyan; Mohamed Medhat Gaber (Neural Comput. Appl., 2016)

Fish Classification in Context of Noisy Images. - Adamu Ali-Gombe; Eyad Elyan; Chrisina Jayne (EANN, 2017)

Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings. - Carlos Francisco Moreno-García; Eyad Elyan; Chrisina Jayne (EANN, 2017)

Deep reward shaping from demonstrations. - Ahmed Hussein 001; Eyad Elyan; Mohamed Medhat Gaber; Chrisina Jayne (IJCNN, 2017)

Imitation Learning: A Survey of Learning Methods. - Ahmed Hussein 001; Mohamed Medhat Gaber; Eyad Elyan; Chrisina Jayne (ACM Comput. Surv., 2017)

The Effect of Person Order on Egress Time: A Simulation Model of Evacuation From a Neolithic Visitor Attraction. - Arthur Stewart; Eyad Elyan; John P. Isaacs; Leah McEwen; Lyn Wilson (Hum. Factors, 2017)

A genetic algorithm approach to optimising random forests applied to class engineered data. - Eyad Elyan; Mohamed Medhat Gaber (Inf. Sci., 2017)

Deep Imitation Learning with Memory for Robocup Soccer Simulation. - Ahmed Hussein 001; Eyad Elyan; Chrisina Jayne (EANN, 2018)

Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels. - Pamela Johnston; Eyad Elyan; Chrisina Jayne (EANN, 2018)

Overlap-Based Undersampling for Improving Imbalanced Data Classification. - Pattaramon Vuttipittayamongkol; Eyad Elyan; Andrei Petrovski 001; Chrisina Jayne (IDEAL (1), 2018)

Few-shot Classifier GAN. - Adamu Ali-Gombe; Eyad Elyan; Yann Savoye; Chrisina Jayne (IJCNN, 2018)

Symbols Classification in Engineering Drawings. - Eyad Elyan; Carlos Francisco Moreno-García; Chrisina Jayne (IJCNN, 2018)

Spatial Effects of Video Compression on Classification in Convolutional Neural Networks. - Pamela Johnston; Eyad Elyan; Chrisina Jayne (IJCNN, 2018)

Deep imitation learning for 3D navigation tasks. - Ahmed Hussein 001; Eyad Elyan; Mohamed Medhat Gaber; Chrisina Jayne (Neural Comput. Appl., 2018)

Digitisation of Assets from the Oil & Gas Industry: Challenges and Opportunities. - Carlos Francisco Moreno-García; Eyad Elyan (WIADAR@ICDAR, 2019)

Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. - Nirmalie Wiratunga; David Corsar; Kyle Martin; Anjana Wijekoon; Eyad Elyan; Zina M. Ibrahim; Oya Celikutan; Richard J. B. Dobson; Stephen J. McKenna; Jacqui Morris; Annalu Waller; Raed A. Abd-Alhammed; et al. (KDH@IJCAI, 2019)

Multiple Fake Classes GAN for Data Augmentation in Face Image Dataset. - Adamu Ali-Gombe; Eyad Elyan; Chrisina Jayne (IJCNN, 2019)

A review of digital video tampering: From simple editing to full synthesis. - Pamela Johnston; Eyad Elyan (Digit. Investig., 2019)

MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network. - Adamu Ali-Gombe; Eyad Elyan (Neurocomputing, 2019)

New trends on digitisation of complex engineering drawings. - Carlos Francisco Moreno-García; Eyad Elyan; Chrisina Jayne (Neural Comput. Appl., 2019)

Towards a Reliable Face Recognition System. - Adamu Ali-Gombe; Eyad Elyan; Johan Zwiegelaar (EANN, 2020)

Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks. - Eyad Elyan; Carlos Francisco Moreno-García; Pamela Johnston (EANN, 2020)

Predicting Permeability Based on Core Analysis. - Harry Kontopoulos; Hatem Ahriz; Eyad Elyan; Richard Arnold (EANN, 2020)

Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets. - Pattaramon Vuttipittayamongkol; Eyad Elyan (AIAI (2), 2020)

Deep Learning for Text Detection and Recognition in Complex Engineering Diagrams. - Laura Jamieson; Carlos Francisco Moreno-García; Eyad Elyan (IJCNN, 2020)

Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease. - Pattaramon Vuttipittayamongkol; Eyad Elyan (Int. J. Neural Syst., 2020)

Response to Discussion on "Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease, ". - Pattaramon Vuttipittayamongkol; Eyad Elyan (Int. J. Neural Syst., 2020)

Neighbourhood-based undersampling approach for handling imbalanced and overlapped data. - Pattaramon Vuttipittayamongkol; Eyad Elyan (Inf. Sci., 2020)

Video tampering localisation using features learned from authentic content. - Pamela Johnston; Eyad Elyan; Chrisina Jayne (Neural Comput. Appl., 2020)

Deep learning for symbols detection and classification in engineering drawings. - Eyad Elyan; Laura Jamieson; Adamu Ali-Gombe (Neural Networks, 2020)

Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. - Truong Dang; Tien Thanh Nguyen; Carlos Francisco Moreno-García; Eyad Elyan; John A. W. McCall (CEC, 2021)

Face Spoof Detection: An Experimental Framework. - Faseela Abdullakutty; Eyad Elyan; Pamela Johnston (EANN, 2021)

Face Detection with YOLO on Edge. - Adamu Ali-Gombe; Eyad Elyan; Carlos Francisco Moreno-García; Johan Zwiegelaar (EANN, 2021)

Towards Machine Learning-Driven Practices for Oil and Gas Decommissioning - Introduction of a New Offshore Pipeline Dataset. - Pattaramon Vuttipittayamongkol; Aaron Tung; Eyad Elyan (ICCCM, 2021)

A Deep Learning Digitisation Framework to Mark up Corrosion Circuits in Piping and Instrumentation Diagrams. - Luis Toral; Carlos Francisco Moreno-García; Eyad Elyan; Shahram Memon (ICDAR Workshops (2), 2021)

Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis. - Carlos Francisco Moreno-García; Chrisina Jayne; Eyad Elyan (IJCNN, 2021)

A Data-Driven Decision Support Tool for Offshore Oil and Gas Decommissioning. - Pattaramon Vuttipittayamongkol; Aaron Tung; Eyad Elyan (IEEE Access, 2021)

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods. - Faseela Abdullakutty; Eyad Elyan; Pamela Johnston (Inf. Fusion, 2021)

Burst Detection-Based Selective Classifier Resetting. - Scott Wares; John P. Isaacs; Eyad Elyan (J. Inf. Knowl. Manag., 2021)

On the class overlap problem in imbalanced data classification. - Pattaramon Vuttipittayamongkol; Eyad Elyan; Andrei Petrovski 001 (Knowl. Based Syst., 2021)

CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification. - Eyad Elyan; Carlos Francisco Moreno-García; Chrisina Jayne (Neural Comput. Appl., 2021)

Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery? - Andrew A. Gumbs; Isabella Frigerio; Gaya Spolverato; Roland Croner; Alfredo Illanes; Elie Chouillard; Eyad Elyan (Sensors, 2021)

Cross Domain Evaluation of Text Detection Models. - Adamu Ali-Gombe; Eyad Elyan; Carlos Francisco Moreno-García; Chrisina Jayne (ICANN (3), 2022)

TransSLC: Skin Lesion Classification in Dermatoscopic Images Using Transformers. - Md. Mostafa Kamal Sarker; Carlos Francisco Moreno-García; Jinchang Ren; Eyad Elyan (MIUA, 2022)

Antimicrobial Resistance and Machine Learning: Challenges and Opportunities. - Eyad Elyan; Amir Hussain 001; Aziz Sheikh; Abdelraouf A. Elmanama; Pattaramon Vuttipittayamongkol; Karolin Hijazi (IEEE Access, 2022)

Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection. - Faseela Abdullakutty; Eyad Elyan; Pamela Johnston; Adamu Ali-Gombe (Cogn. Comput., 2022)

Fusion Methods for Face Presentation Attack Detection. - Faseela Abdullakutty; Pamela Johnston; Eyad Elyan (Sensors, 2022)

The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature. - Andrew A. Gumbs; Vincent Grasso; Nicolas Bourdel; Roland Croner; Gaya Spolverato; Isabella Frigerio; Alfredo Illanes; Mohammad Abu Hilal; Adrian Park 003; Eyad Elyan (Sensors, 2022)

Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies. - Md Junayed Hasan; Eyad Elyan; Yijun Yan; Jinchang Ren; Md. Mostafa Kamal Sarker (BICS, 2023)

Object-aware Multi-criteria Decision-Making Approach using the Heuristic data-driven Theory for Intelligent Transportation Systems. - Mahammad Shareef Mekala; Eyad Elyan; Gautam Srivastava 001 (DSAA, 2023)

Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections. - Luis Alberto Toral-Quijas; Eyad Elyan; Carlos Francisco Moreno-García; Jan Stander (EANN, 2023)

Unmasking the Imposters: Task-specific feature learning for face presentation attack detection. - Faseela Abdullakutty; Eyad Elyan; Pamela Johnston (IJCNN, 2023)

Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead. - Kai Zhang 010; Feng Zhang 028; Wenbo Wan; Hui Yu 001; Jiande Sun 001; Javier Del Ser; Eyad Elyan; Amir Hussain 001 (Inf. Fusion, 2023)

A Multiclass Imbalanced Dataset Classification of Symbols from Piping and Instrumentation Diagrams. - Laura Jamieson; Carlos Francisco Moreno-García; Eyad Elyan (ICDAR (1), 2024)

A Novel Ensemble Aggregation Method Based on Deep Learning Representation. - Truong Thanh Nguyen; Eyad Elyan; Truong Dang; Tien Thanh Nguyen; Martin Longmuir (ICPR (24), 2024)

FAT: Fusion-Attention Transformer for Remaining Useful Life Prediction. - Trung Hieu Vu; Eyad Elyan; Will Vorley; Joe Goodlad; Truong Dang; Tien Thanh Nguyen (ICPR (10), 2024)

DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement. - Hamidreza Farhadi Tolie; Jinchang Ren; Eyad Elyan (Neurocomputing, 2024)

Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems. - Truong Dang; Tien Thanh Nguyen; Alan Wee-Chung Liew; Eyad Elyan; John A. W. McCall (Knowl. Based Syst., 2024)

Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation. - Truong Dang; Tien Thanh Nguyen; John A. W. McCall; Eyad Elyan; Carlos Francisco Moreno-García (Cogn. Comput., 2024)

A review of deep learning methods for digitisation of complex documents and engineering diagrams. - Laura Jamieson; Carlos Francisco Moreno-García; Eyad Elyan (Artif. Intell. Rev., 2024)

Generalisation challenges in deep learning models for medical imagery: insights from external validation of COVID-19 classifiers. - Sophie Crawford Haynes; Pamela Johnston; Eyad Elyan (Multim. Tools Appl., 2024)

Few-Shot Symbol Detection in Engineering Drawings. - Laura Jamieson; Eyad Elyan; Carlos Francisco Moreno-García (Appl. Artif. Intell., 2024)

A Feature Transformation Technique for Improving Ensemble Learning Systems. - Truong Thanh Nguyen; Hieu Vu; Truong Dang; Eyad Elyan; Thanh Son Vu; Tien Thanh Nguyen (ACIIDS (2), 2025)

An Evolutionary Neural Architecture Search-Based Approach for Time Series Forecasting. - Trung Hieu Vu; Tien Thanh Nguyen; Eyad Elyan (CEC, 2025)

KD-LSRED : Knowledge Distillation for Lightweight Symbol Recognition in Engineering Diagrams. - Ikenna Ekeke; Carlos Francisco Moreno-García; Eyad Elyan (ICDAR (5), 2025)

Mitigating Class Imbalance in Multiclass Educational Data: A Hybrid One-vs-One and Density-Based Resampling Approach. - John-Bosco Diekuu; Mahammad Shareef Mekala; John P. Isaacs; Eyad Elyan (IDEAL (1), 2025)

On the Impact of Greyscale ImageNet Pre-training for Chest X-Ray Model Transferability. - Sophie Crawford Haynes; Pamela Johnston; Eyad Elyan (IDEAL (1), 2025)

Modified CBAM: Sub-block Pooling for Improved Channel and Spatial Attention. - Hamza Hussaini; Shahana Bano; Eyad Elyan; Carlos Francisco Moreno-García (MIUA (2), 2025)

MSBATN: Multi-Stage Boundary-Aware Transformer Network for action segmentation in untrimmed surgical videos. - Rezowan Shuvo; Mahammad Shareef Mekala; Eyad Elyan (Comput. Vis. Image Underst., 2025)

Blind sonar image quality assessment via machine learning: Leveraging micro- and macro-scale texture and contour features in the wavelet domain. - Hamidreza Farhadi Tolie; Jinchang Ren; Rongjun Chen 001; Huimin Zhao 001; Eyad Elyan (Eng. Appl. Artif. Intell., 2025)

Event Classification on Subsea Pipeline Inspection Data Using an Ensemble of Deep Learning Classifiers. - Truong Dang; Tien Thanh Nguyen; Alan Wee-Chung Liew; Eyad Elyan (Cogn. Comput., 2025)

Towards fully automated processing and analysis of construction diagrams: AI-powered symbol detection. - Laura Jamieson; Carlos Francisco Moreno-García; Eyad Elyan (Int. J. Document Anal. Recognit., 2025)

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos. - Rezowan Shuvo; Mahammad Shareef Mekala; Eyad Elyan (CoRR, 2025)

Artificial Intelligence-Based Conversational Agents Used for Sustainable Fashion: Systematic Literature Review. - Diana S. Hernandez Manzo; Yang Jiang; Eyad Elyan; John P. Isaacs (Int. J. Hum. Comput. Interact., 2025)

CEANet: An end-to-end transformer based static-mobile points alignment approach. - Vladimir Yesipov; Mahammad Shareef Mekala; Paul Edge; Eyad Elyan (Signal Image Video Process., 2025)

A Multimodel-Based Screening Framework for C-19 Using Deep Learning-Inspired Data Fusion. - Achyut Shankar; Rizwan Patan; Mahammad Shareef Mekala; Eyad Elyan; Amir H. Gandomi; Carsten Maple; Joel J. P. C. Rodrigues (IEEE J. Biomed. Health Informatics, 2025)