Eyad Elyan
Orcid: 0000-0002-8342-9026
According to our database1,
Eyad Elyan
authored at least 84 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Event Classification on Subsea Pipeline Inspection Data Using an Ensemble of Deep Learning Classifiers.
Cogn. Comput., February, 2025
2024
Generalisation challenges in deep learning models for medical imagery: insights from external validation of COVID-19 classifiers.
Multim. Tools Appl., September, 2024
A review of deep learning methods for digitisation of complex documents and engineering diagrams.
Artif. Intell. Rev., June, 2024
Cogn. Comput., May, 2024
Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems.
Knowl. Based Syst., 2024
DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement.
Neurocomputing, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
A Multiclass Imbalanced Dataset Classification of Symbols from Piping and Instrumentation Diagrams.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024
2023
Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead.
Inf. Fusion, May, 2023
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection.
Proceedings of the International Joint Conference on Neural Networks, 2023
Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections.
Proceedings of the Engineering Applications of Neural Networks, 2023
Object-aware Multi-criteria Decision-Making Approach using the Heuristic data-driven Theory for Intelligent Transportation Systems.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023
2022
The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature.
Sensors, 2022
Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection.
Cogn. Comput., 2022
IEEE Access, 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
Sensors, 2021
CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification.
Neural Comput. Appl., 2021
Knowl. Based Syst., 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.
Inf. Fusion, 2021
IEEE Access, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
A Deep Learning Digitisation Framework to Mark up Corrosion Circuits in Piping and Instrumentation Diagrams.
Proceedings of the Document Analysis and Recognition, 2021
Towards Machine Learning-Driven Practices for Oil and Gas Decommissioning - Introduction of a New Offshore Pipeline Dataset.
Proceedings of the ICCCM 2021: 9th International Conference on Computer and Communications Management, Singapore, July 16, 2021
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021
Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Neural Networks, 2020
Neural Comput. Appl., 2020
Neighbourhood-based undersampling approach for handling imbalanced and overlapped data.
Inf. Sci., 2020
Response to Discussion on "Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease, ".
Int. J. Neural Syst., 2020
Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease.
Int. J. Neural Syst., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020
Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020
2019
Neural Comput. Appl., 2019
MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network.
Neurocomputing, 2019
Digit. Investig., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Workshop on Industrial Applications of Document Analysis and Recognition, 2019
2018
Spatial Effects of Video Compression on Classification in Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Engineering Applications of Neural Networks, 2018
Proceedings of the Engineering Applications of Neural Networks, 2018
2017
A genetic algorithm approach to optimising random forests applied to class engineered data.
Inf. Sci., 2017
The Effect of Person Order on Egress Time: A Simulation Model of Evacuation From a Neolithic Visitor Attraction.
Hum. Factors, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings.
Proceedings of the Engineering Applications of Neural Networks, 2017
Proceedings of the Engineering Applications of Neural Networks, 2017
2016
A fine-grained Random Forests using class decomposition: an application to medical diagnosis.
Neural Comput. Appl., 2016
Proceedings of the Engineering Applications of Neural Networks, 2016
Proceedings of the Engineering Applications of Neural Networks, 2016
2015
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests.
CoRR, 2015
CoRR, 2015
On the Relationship between Variational Level Set-Based and SOM-Based Active Contours.
Comput. Intell. Neurosci., 2015
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015
2014
The Cognitive Benefit of Dynamic Representations on Procedural Skill Acquisition: A Computational Modeling Approach.
Int. J. Hum. Comput. Interact., 2014
The cognitive benefits of dynamic representations in the acquisition of spatial navigation skills.
Comput. Hum. Behav., 2014
Rebuilding Visual Vocabulary via Spatial-temporal Context Similarity for Video Retrieval.
Proceedings of the MultiMedia Modeling - 20th Anniversary International Conference, 2014
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
2013
Interact. Comput., 2013
Domain expertise and the effectiveness of dynamic simulator interfaces in the acquisition of procedural motor skills.
Br. J. Educ. Technol., 2013
2012
Enhanced interactivity and engagement: Learning by doing to simplify mathematical concepts in computer graphics and animation.
Proceedings of the IEEE Global Engineering Education Conference, 2012
Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
The acquisition of spatial navigational skills from dynamic versus static visualisations.
Proceedings of the BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers, 2012
2011
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011
Proceedings of the Advances in Information Retrieval, 2011
2010
Automatic Features Characterization from 3D Facial Images.
Proceedings of the 2010 International Conference on Computer Graphics & Virtual Reality, 2010
2009
Proceedings of the 2009 International Conference on CyberWorlds, 2009
Interactive Surface Design and Manipulation Using PDE-Method through Autodesk Maya Plug-in.
Proceedings of the 2009 International Conference on CyberWorlds, 2009
2007
J. Comput., 2007