Professor Georgina Cosma
Professor Georgina Cosma
Professor of AI & Data Science, Department of Computer Science, Loughborough University
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Cited by
Cited by
A review of learning in biologically plausible spiking neural networks
A Taherkhani, A Belatreche, Y Li, G Cosma, LP Maguire, TM McGinnity
Neural Networks 122, 253-272, 2020
An approach to source-code plagiarism detection and investigation using latent semantic analysis
G Cosma, M Joy
IEEE transactions on computers 61 (3), 379-394, 2011
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning
A Taherkhani, G Cosma, TM McGinnity
Neurocomputing 404, 351-366, 2020
Towards a definition of source-code plagiarism
G Cosma, M Joy
IEEE Transactions on Education 51 (2), 195-200, 2008
A survey on computational intelligence approaches for predictive modeling in prostate cancer
G Cosma, D Brown, M Archer, M Khan, AG Pockley
Expert systems with applications 70, 1-19, 2017
Automatic student plagiarism detection: future perspectives
M Mozgovoy, T Kakkonen, G Cosma
Journal of Educational Computing Research 43 (4), 511-531, 2010
Deep-FS: A feature selection algorithm for Deep Boltzmann Machines
A Taherkhani, G Cosma, TM McGinnity
Neurocomputing 322, 22-37, 2018
Hand gesture recognition using an adapted convolutional neural network with data augmentation
AA Alani, G Cosma, A Taherkhani, TM McGinnity
2018 4th International conference on information management (ICIM), 5-12, 2018
Prediction of pathological stage in patients with prostate cancer: a neuro-fuzzy model
G Cosma, G Acampora, D Brown, RC Rees, M Khan, AG Pockley
PloS one 11 (6), e0155856, 2016
Source code plagiarism—a student perspective
M Joy, G Cosma, JYK Yau, J Sinclair
IEEE Transactions on Education 54 (1), 125-132, 2010
Fingerprint classification using a deep convolutional neural network
B Pandya, G Cosma, AA Alani, A Taherkhani, V Bharadi, TM McGinnity
2018 4th international conference on information management (ICIM), 86-91, 2018
A novel extended binary cuckoo search algorithm for feature selection
S Salesi, G Cosma
2017 2nd international conference on knowledge engineering and applications …, 2017
A fuzzy-based approach to programming language independent source-code plagiarism detection
G Acampora, G Cosma
2015 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2015
Breast cancer diagnosis using a hybrid genetic algorithm for feature selection based on mutual information
A Alzubaidi, G Cosma, D Brown, AG Pockley
2016 International Conference on Interactive Technologies and Games (ITAG …, 2016
Image enhanced mask R-CNN: A deep learning pipeline with new evaluation measures for wind turbine blade defect detection and classification
J Zhang, G Cosma, J Watkins
Journal of Imaging 7 (3), 46, 2021
A hybrid semantic knowledgebase-machine learning approach for opinion mining
R Alfrjani, T Osman, G Cosma
Data & Knowledge Engineering 121, 88-108, 2019
TAGA: Tabu asexual genetic algorithm embedded in a filter/filter feature selection approach for high-dimensional data
S Salesi, G Cosma, M Mavrovouniotis
Information Sciences 565, 105-127, 2021
Source-code plagiarism: A UK academic perspective
G Cosma, M Joy
University of Warwick. Department of Computer Science, 2006
Style analysis for source code plagiarism detection—an analysis of a dataset of student coursework
OM Mirza, M Joy, G Cosma
2017 IEEE 17th international conference on advanced learning technologies …, 2017
A computational intelligence approach to efficiently predicting review ratings in e-commerce
G Cosma, G Acampora
Applied Soft Computing 44, 153-162, 2016
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