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Eyad Elyan
Eyad Elyan
Eyad Elyan, Professor, School of Computing, Robert Gordon University
Verified email at rgu.ac.uk - Homepage
Title
Cited by
Cited by
Year
Imitation learning: A survey of learning methods
A Hussein, MM Gaber, E Elyan, C Jayne
ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017
11502017
Random forests: from early developments to recent advancements
K Fawagreh, MM Gaber, E Elyan
Systems Science & Control Engineering: An Open Access Journal 2 (1), 602-609, 2014
5872014
Neighbourhood-based undersampling approach for handling imbalanced and overlapped data
P Vuttipittayamongkol, E Elyan
Information Sciences 509, 47-70, 2020
2072020
On the class overlap problem in imbalanced data classification
P Vuttipittayamongkol, E Elyan, A Petrovski
Knowledge-based systems 212, 106631, 2021
1532021
MFC-GAN: Class-imbalanced dataset classification using multiple fake class generative adversarial network
A Ali-Gombe, E Elyan
Neurocomputing 361, 212-221, 2019
1502019
New trends on digitisation of complex engineering drawings
CF Moreno-García, E Elyan, C Jayne
Neural computing and applications 31, 1695-1712, 2019
982019
Data stream mining: methods and challenges for handling concept drift
S Wares, J Isaacs, E Elyan
SN Applied Sciences 1, 1-19, 2019
862019
A genetic algorithm approach to optimising random forests applied to class engineered data
E Elyan, MM Gaber
Information sciences 384, 220-234, 2017
822017
Deep learning for symbols detection and classification in engineering drawings
E Elyan, L Jamieson, A Ali-Gombe
Neural networks 129, 91-102, 2020
792020
Artificial intelligence surgery: how do we get to autonomous actions in surgery?
AA Gumbs, I Frigerio, G Spolverato, R Croner, A Illanes, E Chouillard, ...
Sensors 21 (16), 5526, 2021
752021
Deep imitation learning for 3D navigation tasks
A Hussein, E Elyan, MM Gaber, C Jayne
Neural computing and applications 29, 389-404, 2018
612018
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward.
E Elyan, P Vuttipittayamongkol, P Johnston, K Martin, K McPherson, ...
Artificial Intelligence Surgery 2, 2022
602022
Improved overlap-based undersampling for imbalanced dataset classification with application to epilepsy and parkinson’s disease
P Vuttipittayamongkol, E Elyan
International journal of neural systems 30 (08), 2050043, 2020
602020
CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification
E Elyan, CF Moreno-Garcia, C Jayne
Neural computing and applications 33, 2839-2851, 2021
582021
Overlap-based undersampling for improving imbalanced data classification
P Vuttipittayamongkol, E Elyan, A Petrovski, C Jayne
Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018
562018
A review of digital video tampering: From simple editing to full synthesis
P Johnston, E Elyan
Digital Investigation 29, 67-81, 2019
492019
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
F Abdullakutty, E Elyan, P Johnston
Information fusion 75, 55-69, 2021
442021
A fine-grained random forests using class decomposition: an application to medical diagnosis
E Elyan, MM Gaber
Neural computing and applications 27, 2279-2288, 2016
432016
Symbols classification in engineering drawings
E Elyan, CM Garcia, C Jayne
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
422018
Reconstruction of 3D human facial images using partial differential equations.
E Elyan, H Ugail
Academy Publisher, 2007
362007
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