Eyad Elyan

发表

Data stream mining: methods and challenges for handling concept drift

Scott Wares, John P. Isaacs, Eyad Elyan, 2019, SN Applied Sciences.

Video Retrieval Based on Words-of-Interest Selection

Lei Wang, Eyad Elyan, Dawei Song, 2011, ECIR.

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

Mohamed Medhat Gaber, Eyad Elyan, Khaled Fawagreh, 2016, EANN.

Effect of Interface Dynamism on Learning Procedural Motor Skills

Eyad Elyan, Patrik O'Brian Holt, Olurotimi Richard Akinlofa, 2013, Interact. Comput..

Domain expertise and the effectiveness of dynamic simulator interfaces in the acquisition of procedural motor skills

Eyad Elyan, Patrik O'Brian Holt, Olurotimi Richard Akinlofa, 2013, Br. J. Educ. Technol..

Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease

Eyad Elyan, Pattaramon Vuttipittayamongkol, Eyad Elyan, 2020, Int. J. Neural Syst..

Random forests: from early developments to recent advancements

Mohamed Medhat Gaber, Eyad Elyan, Khaled Fawagreh, 2014 .

Deep reward shaping from demonstrations

Mohamed Medhat Gaber, Eyad Elyan, Chrisina Jayne, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications pdf

Mohamed Medhat Gaber, Eyad Elyan, Khaled Fawagreh, 2015, ArXiv.

Words-of-interest selection based on temporal motion coherence for video retrieval

Lei Wang, Eyad Elyan, Dawei Song, 2011, SIGIR '11.

A review of digital video tampering: From simple editing to full synthesis

Eyad Elyan, Pamela Johnston, Eyad Elyan, 2019, Digit. Investig..

The effects of measurement error and testing frequency on the fitness-fatigue model applied to resistance training: A simulation approach

Eyad Elyan, Benedict H Stephens Hemingway, Katherine E Burgess, 2020, International Journal of Sports Science & Coaching.

Fish Classification in Context of Noisy Images

Eyad Elyan, Chrisina Jayne, Adamu Ali-Gombe, 2017, EANN.

Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets

Eyad Elyan, Pattaramon Vuttipittayamongkol, 2020, AIAI.

Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks

Eyad Elyan, Carlos Francisco Moreno-García, Pamela Johnston, 2020, EANN.

CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-Garcia, 2020, Neural Computing and Applications.

Efficient 3D data representation for biometric applications

Hassan Ugail, Eyad Elyan, Eyad Elyan, 2007 .

Response to Discussion on "Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease, "

Eyad Elyan, Pattaramon Vuttipittayamongkol, 2020, Int. J. Neural Syst..

Neighbourhood-based undersampling approach for handling imbalanced and overlapped data

Eyad Elyan, Pattaramon Vuttipittayamongkol, Eyad Elyan, 2020, Inf. Sci..

The Effect of Person Order on Egress Time: A Simulation Model of Evacuation From a Neolithic Visitor Attraction

John P. Isaacs, Eyad Elyan, Leah McEwen, 2017, Hum. Factors.

Rebuilding Visual Vocabulary via Spatial-temporal Context Similarity for Video Retrieval

Lei Wang, Eyad Elyan, Dawei Song, 2014, MMM.

Augmented reality procedural guide system.

Eyad Elyan, 2020 .

Diversified Random Forests Using Random Subspaces

Mohamed Medhat Gaber, Eyad Elyan, Khaled Fawagreh, 2014, IDEAL.

Symbols Classification in Engineering Drawings

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-García, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Deep learning for symbols detection and classification in engineering drawings

Eyad Elyan, Adamu Ali-Gombe, Laura Jamieson, 2020, Neural Networks.

A fine-grained Random Forests using class decomposition: an application to medical diagnosis

Mohamed Medhat Gaber, Eyad Elyan, M. Gaber, 2016, Neural Computing and Applications.

MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network

Eyad Elyan, Adamu Ali-Gombe, Eyad Elyan, 2019, Neurocomputing.

The acquisition of spatial navigational skills from dynamic versus static visualisations

Eyad Elyan, Patrik O'Brian Holt, Olurotimi Richard Akinlofa, 2012, BCS HCI.

Processing and Recognising Faces in 3D Images

Eyad Elyan, Daniel C Doolan, Eyad Elyan, 2011 .

On the Relationship between Variational Level Set-Based and SOM-Based Active Contours

Mohamed Medhat Gaber, Eyad Elyan, Giorgio Gnecco, 2015, Comput. Intell. Neurosci..

Interactive Surface Design and Manipulation Using PDE-Method through Autodesk Maya Plug-in

Hassan Ugail, Eyad Elyan, Eyad Elyan, 2009, 2009 International Conference on CyberWorlds.

Towards a Reliable Face Recognition System

Eyad Elyan, Adamu Ali-Gombe, Johan Zwiegelaar, 2020, EANN.

Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval

Lei Wang, Eyad Elyan, Dawei Song, 2012, CIKM '12.

Reconstruction of 3D Human Facial Images Using Partial Differential Equations

Hassan Ugail, Eyad Elyan, Eyad Elyan, 2007, J. Comput..

Overlap-Based Undersampling for Improving Imbalanced Data Classification

Eyad Elyan, Andrei Petrovski, Chrisina Jayne, 2018, IDEAL.

Predicting Permeability Based on Core Analysis

Hatem Ahriz, Eyad Elyan, Richard Arnold, 2020, EANN.

The Cognitive Benefit of Dynamic Representations on Procedural Skill Acquisition: A Computational Modeling Approach

Eyad Elyan, Patrik O'Brian Holt, Olurotimi Richard Akinlofa, 2014, Int. J. Hum. Comput. Interact..

Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels

Eyad Elyan, Chrisina Jayne, Pamela Johnston, 2018, EANN.

Imitation Learning

Mohamed Medhat Gaber, Eyad Elyan, Chrisina Jayne, 2017, ACM Comput. Surv..

A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests

Mohamed Medhat Gaber, Eyad Elyan, Khaled Fawagreh, 2015, SGAI Conf..

Automatic 3D Face Recognition Using Fourier Descriptors

Hassan Ugail, Eyad Elyan, 2009, 2009 International Conference on CyberWorlds.

Automatic Features Characterization from 3D Facial Images

Hassan Ugail, Eyad Elyan, Eyad Elyan, 2010, CGVR.

Spatial Effects of Video Compression on Classification in Convolutional Neural Networks

Eyad Elyan, Chrisina Jayne, Pamela Johnston, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Enhanced interactivity and engagement: Learning by doing to simplify mathematical concepts in computer graphics and animation

Eyad Elyan, Eyad Elyan, 2012, Proceedings of the 2012 IEEE Global Engineering Education Conference (EDUCON).

An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests pdf

Mohamed Medhat Gaber, Eyad Elyan, Khaled Fawagreh, 2015, ArXiv.

Video tampering localisation using features learned from authentic content

Eyad Elyan, Chrisina Jayne, Pamela Johnston, 2019, Neural Computing and Applications.

Deep Learning for Text Detection and Recognition in Complex Engineering Diagrams

Eyad Elyan, Carlos Francisco Moreno-Garcia, Laura Jamieson, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-García, 2017, EANN.

Deep Imitation Learning with Memory for Robocup Soccer Simulation

Eyad Elyan, Chrisina Jayne, Ahmed Hussein, 2018, EANN.

Digitisation of Assets from the Oil & Gas Industry: Challenges and Opportunities

Eyad Elyan, Carlos Francisco Moreno-García, Eyad Elyan, 2019, 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW).

Few-shot Classifier GAN

Eyad Elyan, Chrisina Jayne, Yann Savoye, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

The cognitive benefits of dynamic representations in the acquisition of spatial navigation skills

Eyad Elyan, Patrik O'Brian Holt, Olurotimi Richard Akinlofa, 2014, Comput. Hum. Behav..

Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention

Zina M. Ibrahim, Eyad Elyan, Richard J. B. Dobson, 2019, KHD@IJCAI.

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

Mohamed Medhat Gaber, Eyad Elyan, Khaled Fawagreh, 2015, SGAI Conf..

On the class overlap problem in imbalanced data classification

Eyad Elyan, Andrei Petrovski, Pattaramon Vuttipittayamongkol, 2021, Knowl. Based Syst..

Deep Active Learning for Autonomous Navigation

Mohamed Medhat Gaber, Eyad Elyan, Ahmed Hussein, 2016, EANN.

Deep imitation learning for 3D navigation tasks

Mohamed Medhat Gaber, Eyad Elyan, Chrisina Jayne, 2017, Neural Computing and Applications.

Multiple Fake Classes GAN for Data Augmentation in Face Image Dataset

Eyad Elyan, Chrisina Jayne, Adamu Ali-Gombe, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

New trends on digitisation of complex engineering drawings

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-García, 2018, Neural Computing and Applications.

A genetic algorithm approach to optimising random forests applied to class engineered data

Mohamed Medhat Gaber, Eyad Elyan, M. Gaber, 2017, Inf. Sci..

Face Spoof Detection: An Experimental Framework

Eyad Elyan, Faseela Abdullakutty, Pamela Johnston, 2021, EANN.

Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-García, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Face Detection with YOLO on Edge

Eyad Elyan, Carlos Francisco Moreno-García, Adamu Ali-Gombe, 2021, EANN.

A Data-Driven Decision Support Tool for Offshore Oil and Gas Decommissioning

Eyad Elyan, Pattaramon Vuttipittayamongkol, Aaron Tung, 2021, IEEE Access.

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods

Eyad Elyan, Faseela Abdullakutty, Pamela Johnston, 2021, Inf. Fusion.

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

Eyad Elyan, Alfredo Illanes, Roland Croner, 2021, Sensors.

Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation

Eyad Elyan, Carlos Francisco Moreno-García, Tien Thanh Nguyen, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

A Deep Learning Digitisation Framework to Mark up Corrosion Circuits in Piping and Instrumentation Diagrams

Eyad Elyan, Carlos Francisco Moreno-García, Luis Toral, 2021, ICDAR Workshops.

Burst Detection-Based Selective Classifier Resetting

Scott Wares, John P. Isaacs, Eyad Elyan, 2021, J. Inf. Knowl. Manag..

Two layer Ensemble of Deep Learning Models for Medical Image Segmentation pdf

Eyad Elyan, John McCall, Tien Thanh Nguyen, 2021, ArXiv.

Performance Modelling of Interface Dynamism in Motor Skills Acquisition

Eyad Elyan, Olurotimi R. Akinlofa, 2012 .