Eyad Elyan

Orcid: 0000-0002-8342-9026

According to our database1, Eyad Elyan authored at least 76 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies.
CoRR, 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

2022
The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature.
Sensors, 2022

Fusion Methods for Face Presentation Attack Detection.
Sensors, 2022

Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection.
Cogn. Comput., 2022

Antimicrobial Resistance and Machine Learning: Challenges and Opportunities.
IEEE Access, 2022

TransSLC: Skin Lesion Classification in Dermatoscopic Images Using Transformers.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Cross Domain Evaluation of Text Detection Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?
Sensors, 2021

CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification.
Neural Comput. Appl., 2021

On the class overlap problem in imbalanced data classification.
Knowl. Based Syst., 2021

Burst Detection-Based Selective Classifier Resetting.
J. Inf. Knowl. Manag., 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

Two layer Ensemble of Deep Learning Models for Medical Image Segmentation.
CoRR, 2021

A Data-Driven Decision Support Tool for Offshore Oil and Gas Decommissioning.
IEEE Access, 2021

Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis.
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

Face Detection with YOLO on Edge.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

Face Spoof Detection: An Experimental Framework.
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
Deep learning for symbols detection and classification in engineering drawings.
Neural Networks, 2020

Video tampering localisation using features learned from authentic content.
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

Deep Learning for Text Detection and Recognition in Complex Engineering Diagrams.
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

Predicting Permeability Based on Core Analysis.
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

Towards a Reliable Face Recognition System.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
New trends on digitisation of complex engineering drawings.
Neural Comput. Appl., 2019

MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network.
Neurocomputing, 2019

A review of digital video tampering: From simple editing to full synthesis.
Digit. Investig., 2019

Multiple Fake Classes GAN for Data Augmentation in Face Image Dataset.
Proceedings of the International Joint Conference on Neural Networks, 2019

Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Digitisation of Assets from the Oil & Gas Industry: Challenges and Opportunities.
Proceedings of the Workshop on Industrial Applications of Document Analysis and Recognition, 2019

2018
Deep imitation learning for 3D navigation tasks.
Neural Comput. Appl., 2018

Spatial Effects of Video Compression on Classification in Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Symbols Classification in Engineering Drawings.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Few-shot Classifier GAN.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Overlap-Based Undersampling for Improving Imbalanced Data Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels.
Proceedings of the Engineering Applications of Neural Networks, 2018

Deep Imitation Learning with Memory for Robocup Soccer Simulation.
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

Imitation Learning: A Survey of Learning Methods.
ACM Comput. Surv., 2017

Deep reward shaping from demonstrations.
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

Fish Classification in Context of Noisy Images.
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

Deep Active Learning for Autonomous Navigation.
Proceedings of the Engineering Applications of Neural Networks, 2016

An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests.
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

On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications.
CoRR, 2015

On the Relationship between Variational Level Set-Based and SOM-Based Active Contours.
Comput. Intell. Neurosci., 2015

A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests.
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

Diversified Random Forests Using Random Subspaces.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

2013
Effect of Interface Dynamism on Learning Procedural Motor Skills.
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
Words-of-interest selection based on temporal motion coherence for video retrieval.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Video Retrieval Based on Words-of-Interest Selection.
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
Automatic 3D Face Recognition Using Fourier Descriptors.
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
Reconstruction of 3D Human Facial Images Using Partial Differential Equations.
J. Comput., 2007


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