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Eyad Elyan
Eyad Elyan
Eyad Elyan, Professor, School of Computing, Robert Gordon University
Adresă de e-mail confirmată pe rgu.ac.uk - Pagina de pornire
Titlu
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Imitation learning: A survey of learning methods
A Hussein, MM Gaber, E Elyan, C Jayne
ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017
15342017
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
7642014
Neighbourhood-based undersampling approach for handling imbalanced and overlapped data
P Vuttipittayamongkol, E Elyan
Information Sciences 509, 47-70, 2020
2672020
On the class overlap problem in imbalanced data classification
P Vuttipittayamongkol, E Elyan, A Petrovski
Knowledge-based systems 212, 106631, 2021
2432021
MFC-GAN: Class-imbalanced dataset classification using multiple fake class generative adversarial network
A Ali-Gombe, E Elyan
Neurocomputing 361, 212-221, 2019
1952019
New trends on digitisation of complex engineering drawings
CF Moreno-García, E Elyan, C Jayne
Neural computing and applications 31, 1695-1712, 2019
1352019
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 (1), 24-45, 2022
1342022
Data stream mining: methods and challenges for handling concept drift
S Wares, J Isaacs, E Elyan
SN Applied Sciences 1, 1-19, 2019
1312019
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
1282021
Deep learning for symbols detection and classification in engineering drawings
E Elyan, L Jamieson, A Ali-Gombe
Neural networks 129, 91-102, 2020
1142020
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
992021
A genetic algorithm approach to optimising random forests applied to class engineered data
E Elyan, MM Gaber
Information sciences 384, 220-234, 2017
912017
Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead
K Zhang, F Zhang, W Wan, H Yu, J Sun, J Del Ser, E Elyan, A Hussain
Information Fusion 93, 227-242, 2023
802023
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
752020
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
722018
Deep imitation learning for 3D navigation tasks
A Hussein, E Elyan, MM Gaber, C Jayne
Neural computing and applications 29, 389-404, 2018
682018
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
552021
A review of digital video tampering: From simple editing to full synthesis
P Johnston, E Elyan
Digital Investigation 29, 67-81, 2019
552019
The advances in computer vision that are enabling more autonomous actions in surgery: a systematic review of the literature
AA Gumbs, V Grasso, N Bourdel, R Croner, G Spolverato, I Frigerio, ...
Sensors 22 (13), 4918, 2022
522022
Symbols classification in engineering drawings
E Elyan, CM Garcia, C Jayne
2018 International joint conference on neural networks (IJCNN), 1-8, 2018
512018
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