Towards a Definition of Source-Code Plagiarism. - Georgina Cosma; Mike Joy (IEEE Trans. Educ., 2008)

An approach to source-code plagiarism detection investigation using latent semantic analysis. - Georgina Cosma (2008)

Source Code Plagiarism - A Student Perspective. - Mike Joy; Georgina Cosma; Jane Yau; Jane E. Sinclair (IEEE Trans. Educ., 2011)

Evaluating the Performance of LSA for Source-code Plagiarism Detection. - Georgina Cosma; Mike Joy (Informatica (Slovenia), 2012)

An Approach to Source-Code Plagiarism Detection and Investigation Using Latent Semantic Analysis. - Georgina Cosma; Mike Joy (IEEE Trans. Computers, 2012)

An extended neuro-fuzzy approach for efficiently predicting review ratings in E-markets. - Giovanni Acampora; Georgina Cosma; Taha Osman (FUZZ-IEEE, 2014)

A hybrid computational intelligence approach for efficiently evaluating customer sentiments in E-commerce reviews. - Giovanni Acampora; Georgina Cosma (IEEE IA, 2014)

An Intelligent Serious Game for Supporting African and African Caribbean Men during Pre- and Post-Diagnosis of Prostate Cancer. - David J. Brown 001; Georgina Cosma; Giovanni Acampora; Sarah Seymour-Smith; Alex Close (iTAG, 2014)

A Fuzzy-based approach to programming language independent source-code plagiarism detection. - Giovanni Acampora; Georgina Cosma (FUZZ-IEEE, 2015)

Co-design of a Prostate Cancer Serious Game for African Caribbean Men. - Georgina Cosma; Nicholas Shopland; Steven Battersby; Sarah Seymour-Smith; A. Graham Pockley; Matthew Archer; Rose Thompson; Masood Khan; David J. Brown 001 (iTAG, 2015)

Breast Cancer Diagnosis Using a Hybrid Genetic Algorithm for Feature Selection Based on Mutual Information. - Abeer Alzubaidi; Georgina Cosma; David J. Brown 001; A. Graham Pockley (iTAG, 2016)

A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer. - Abeer Alzubaidi; David J. Brown 001; Georgina Cosma; A. Graham Pockley (SSCI, 2016)

A New Approach to Ontology-Based Semantic Modelling for Opinion Mining. - Rowida Alfrjani; Taha Osman; Georgina Cosma (UKSim, 2016)

A computational intelligence approach to efficiently predicting review ratings in e-commerce. - Georgina Cosma; Giovanni Acampora (Appl. Soft Comput., 2016)

Neuro-Fuzzy Sentiment Analysis for Customer Review Rating Prediction. - Georgina Cosma; Giovanni Acampora (Sentiment Analysis and Ontology Engineering, 2016)

A multivariate feature selection framework for high dimensional biomedical data classification. - Abeer Alzubaidi; Georgina Cosma (CIBCB, 2017)

Style Analysis for Source Code Plagiarism Detection - An Analysis of a Dataset of Student Coursework. - Olfat M. Mirza; Mike Joy; Georgina Cosma (ICALT, 2017)

A survey on computational intelligence approaches for predictive modeling in prostate cancer. - Georgina Cosma; David J. Brown 001; Matthew Archer; Masood Khan; A. Graham Pockley (Expert Syst. Appl., 2017)

Perceptual Comparison of Source-Code Plagiarism within Students from UK, China, and South Cyprus Higher Education Institutions. - Georgina Cosma; Mike Joy; Jane E. Sinclair; Margarita Andreou; Dongyong Zhang; Beverley Cook; Russell Boyatt (ACM Trans. Comput. Educ., 2017)

Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements. - Pedro Machado; Andreas Oikonomou; Georgina Cosma; T. Martin McGinnity (IJCNN, 2018)

Multi-Modal Biometric Recognition Using Human Iris and Dynamic Pressure Variation of Handwritten Signatures. - Vinayak Ashok Bharadi; Bhavesh Pandya; Georgina Cosma (SNAMS, 2018)

A Hybrid Model for Classification of Biomedical Data Using Feature Filtering and a Convolutional Neural Network. - Sadegh Salesi; Ali A. Alani; Georgina Cosma (SNAMS, 2018)

Medical Expert Systems - A Study of Trust and Acceptance by Healthcare Stakeholders. - Ioannis Vourgidis; Shadreck Joseph Mafuma; Paul Wilson; Jenny Carter; Georgina Cosma (UKCI, 2018)

Deep-FS: A feature selection algorithm for Deep Boltzmann Machines. - Aboozar Taherkhani; Georgina Cosma; T. Martin McGinnity (Neurocomputing, 2018)

NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images. - Pedro Machado; Georgina Cosma; T. Martin McGinnity (ICANN (1), 2019)

Clan-Based Cultural Algorithm for Feature Selection. - Oluwabunmi Oloruntoba; Georgina Cosma; Antonio Liotta (ICDM Workshops, 2019)

Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification. - Gulrukh Turabee; Yuan Shen; Georgina Cosma (UKCI, 2019)

Feature Extraction and Classification Using Leading Eigenvectors: Applications to Biomedical and Multi-Modal mHealth Data. - Georgina Cosma; Thomas Martin McGinnity (IEEE Access, 2019)

A Hybrid Semantic Knowledgebase-Machine Learning Approach for Opinion Mining. - Rowida Alfrjani; Taha Osman; Georgina Cosma (Data Knowl. Eng., 2019)

Enhancing Prediction in Cyclone Separators through Computational Intelligence. - Oluwaseyi Ogun; Mbetobong Enoh; Georgina Cosma; Aboozar Taherkhani; Vincenzo Madonna (CEC, 2020)

Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning. - Ali A. Alani; Georgina Cosma; Aboozar Taherkhani (IJCNN, 2020)

Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging. - Gulrukh Turabee; Georgina Cosma; Vincenzo Madonna; Paolo Giangrande; Muhammad Raza Khowja; Gaurang Vakil; Chris Gerada; Michael Galea (IJCNN, 2020)

The Role of Neural Networks in Predicting the Thermal Life of Electrical Machines. - Gulrukh Turabee; Muhammad Raza Khowja; Paolo Giangrande; Vincenzo Madonna; Georgina Cosma; Gaurang Vakil; Chris Gerada; Michael Galea (IEEE Access, 2020)

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning. - Aboozar Taherkhani; Georgina Cosma; T. M. McGinnity (Neurocomputing, 2020)

A review of learning in biologically plausible spiking neural networks. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Georgina Cosma; Liam P. Maguire; T. Martin McGinnity (Neural Networks, 2020)

Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern. - Aboozar Taherkhani; Georgina Cosma; Thomas Martin McGinnity (IEEE Trans. Cogn. Dev. Syst., 2020)

Lifetime Estimation of Enameled Wires Under Accelerated Thermal Aging Using Curve Fitting Methods. - Muhammad Raza Khowja; Gulrukh Turabee; Paolo Giangrande; Vincenzo Madonna; Georgina Cosma; Gaurang Vakil; Chris Gerada; Michael Galea (IEEE Access, 2021)

TAGA: Tabu Asexual Genetic Algorithm embedded in a filter/filter feature selection approach for high-dimensional data. - Sadegh Salesi; Georgina Cosma; Michalis Mavrovouniotis (Inf. Sci., 2021)

On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval. - Yan Gong; Georgina Cosma; Hui Fang 003 (J. Imaging, 2021)

Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification. - Jiajun Zhang 003; Georgina Cosma; Jason Watkins (J. Imaging, 2021)

Generalisation Power Analysis for finding a stable set of features using evolutionary algorithms for feature selection. - Sadegh Salesi; Georgina Cosma (Knowl. Based Syst., 2021)

Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. - Guoming Long; Tao Chen 001; Georgina Cosma (APSEC, 2022)

Semantically Enhanced Hard Negatives for Cross-modal Information Retrieval. - Yan Gong; Georgina Cosma (CoRR, 2022)

A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval. - Mikel Williams-Lekuona; Georgina Cosma; Iain W. Phillips (J. Imaging, 2022)

Natural Language Processing Approaches in Industrial Maintenance: A Systematic Literature Review. - Keyi Zhong; Tom Jackson 001; Andrew A. West; Georgina Cosma (ISM, 2023)

Boon: A Neural Search Engine for Cross-Modal Information Retrieval. - Yan Gong; Georgina Cosma (MMIR@MM, 2023)

Neural-Based Cross-Modal Search and Retrieval of Artwork. - Yan Gong; Georgina Cosma; Axel Finke (SSCI, 2023)

Morphological Image Analysis and Feature Extraction for Reasoning with AI-Based Defect Detection and Classification Models. - Jiajun Zhang 003; Georgina Cosma; Sarah L. Bugby; Axel Finke; Jason Watkins (SSCI, 2023)

ForestMonkey: Toolkit for Reasoning with AI-Based Defect Detection and Classification Models. - Jiajun Zhang 003; Georgina Cosma; Sarah L. Bugby; Jason Watkins (SSCI, 2023)

CLIP-RR: Improved CLIP Network for Relation-Focused Cross-Modal Information Retrieval. - Yan Gong; Georgina Cosma (CoRR, 2023)

A genetically-optimised artificial life algorithm for complexity-based synthetic dataset generation. - Andrew Houston; Georgina Cosma (Inf. Sci., 2023)

Efficient Retrieval of Images with Irregular Patterns Using Morphological Image Analysis: Applications to Industrial and Healthcare Datasets. - Jiajun Zhang 003; Georgina Cosma; Sarah L. Bugby; Jason Watkins (J. Imaging, 2023)

Improving visual-semantic embeddings by learning semantically-enhanced hard negatives for cross-modal information retrieval. - Yan Gong; Georgina Cosma (Pattern Recognit., 2023)

A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets. - Aboozar Taherkhani; Georgina Cosma; T. M. McGinnity (SN Comput. Sci., 2023)

Identifying Clusters on Multiple Long-Term Conditions for Adults with Learning Disabilities. - Emeka Abakasanga; Rania Kousovista; Georgina Cosma; Gyuchan Thomas Jun; Reza Kiani; Satheesh Gangadharan (AIiH (1), 2024)

Cluster and Trajectory Analysis of Multiple Long-Term Conditions in Adults with Learning Disabilities. - Emeka Abakasanga; Rania Kousovista; Georgina Cosma; Gyuchan Thomas Jun; Reza Kiani; Satheesh Gangadharan (AIiH (2), 2024)

Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reports. - Georgina Cosma; Mohit Kumar Singh; Patrick Waterson; Gyuchan Thomas Jun; Jonathan Back (AIiH (1), 2024)

Intelligent Multi-document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports. - Georgina Cosma; Mohit Kumar Singh; Patrick Waterson; Gyuchan Thomas Jun; Jonathan Back (AIiH (2), 2024)

I-SIRch: AI-Powered Concept Annotation Tool For Equitable Extraction And Analysis Of Safety Insights From Maternity Investigations. - Mohit Kumar Singh; Georgina Cosma; Patrick Waterson; Jonathan Back; Gyuchan Thomas Jun (CoRR, 2024)

Neural Machine Unranking. - Jingrui Hou; Axel Finke; Georgina Cosma (CoRR, 2024)

Equitable Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning. - Emeka Abakasanga; Rania Kousovista; Georgina Cosma; Ashley Akbari; Francesco Zaccardi; Navjot Kaur; Danielle Fitt; Gyuchan Thomas Jun; Reza Kiani; Satheesh Gangadharan (CoRR, 2024)

Neural Corrective Machine Unranking. - Jingrui Hou; Axel Finke; Georgina Cosma (CoRR, 2024)

Identifying early help referrals for local authorities with machine learning and bias analysis. - Eufrásio de A. Lima Neto; Jonathan Bailiss; Axel Finke; Jo Miller; Georgina Cosma (J. Comput. Soc. Sci., 2024)

VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval. - Yan Gong; Georgina Cosma; Axel Finke (ACM Trans. Knowl. Discov. Data, 2024)

First-Shot Machine Anomalous Sound Detection: Exploring the Impact of Limited Target Dataset Size on Model Performance. - Alex Buck; Georgina Cosma; Iain W. Phillips; Paul Conway; Patrick Baker (DSP, 2025)

Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning. - Emeka Abakasanga; Rania Kousovista; Georgina Cosma; Ashley Akbari; Francesco Zaccardi; Navjot Kaur; Danielle Fitt; Gyuchan Thomas Jun; Reza Kiani; Satheesh Gangadharan (Frontiers Digit. Health, 2025)

Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajectories. - Rania Kousovista; Georgina Cosma; Emeka Abakasanga; Ashley Akbari; Francesco Zaccardi; Gyuchan Thomas Jun; Reza Kiani; Satheesh Gangadharan (Frontiers Digit. Health, 2025)

Advancing continual lifelong learning in neural information retrieval: Definition, dataset, framework, and empirical evaluation. - Jingrui Hou; Georgina Cosma; Axel Finke (Inf. Sci., 2025)

A meta-heuristic approach to estimate and explain classifier uncertainty. - Andrew Houston; Georgina Cosma (Appl. Intell., 2025)

FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis. - Mikel Williams-Lekuona; Georgina Cosma (Int. J. Multim. Inf. Retr., 2025)