Dr Georgina Cosma
Dr Georgina Cosma
Department of Computer Science, Loughborough University
Verified email at - Homepage
Cited by
Cited by
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
Towards a definition of source-code plagiarism
G Cosma, M Joy
IEEE Transactions on Education 51 (2), 195-200, 2008
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
Automatic student plagiarism detection: future perspectives
M Mozgovoy, T Kakkonen, G Cosma
Journal of Educational Computing Research 43 (4), 511-531, 2010
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
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
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
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
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
Source-code plagiarism: an academic perspective
G Cosma, M Joy
University of Warwick. Department of Computer Science, 2006
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
Evaluating the performance of lsa for source-code plagiarism detection
G Cosma, M Joy
Informatica 36 (4), 2012
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
Source-code plagiarism in universities: a comparative study of student perspectives in China and the UK
D Zhang, M Joy, G Cosma, R Boyatt, J Sinclair, J Yau
Assessment & Evaluation in Higher Education 39 (6), 743-758, 2014
Student perspectives on source-code plagiarism
MS Joy, JE Sinclair, R Boyatt, JYK Yau, G Cosma
International Journal for Educational Integrity 9 (1), 2013
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