Georgina Cosma

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 63

Top Venues

University of Warwick, Coventry, UK (PHD)

Education History

University of Warwick, Coventry, UK

PHD

Publications

Georgina Cosma, Mohit Kumar Singh, Patrick Waterson, Gyuchan Thomas Jun, Jonathan Back
Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reports. CoRR (2024)
Mohit Kumar Singh, Georgina Cosma, Patrick Waterson, Jonathan Back, Gyuchan Thomas Jun
I-SIRch: AI-Powered Concept Annotation Tool For Equitable Extraction And Analysis Of Safety Insights From Maternity Investigations. CoRR (2024)
Georgina Cosma, Mohit Kumar Singh, Patrick Waterson, Gyuchan Thomas Jun, Jonathan Back
Intelligent Multi-Document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports. CoRR (2024)
Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
Cluster and Trajectory Analysis of Multiple Long-Term Conditions in Adults with Learning Disabilities. AIiH (2) (2024)
Georgina Cosma, Mohit Kumar Singh, Patrick Waterson, Gyuchan Thomas Jun, Jonathan Back
Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reports. AIiH (1) (2024)
Georgina Cosma, Mohit Kumar Singh, Patrick Waterson, Gyuchan Thomas Jun, Jonathan Back
Intelligent Multi-document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports. AIiH (2) (2024)
Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
Identifying Clusters on Multiple Long-Term Conditions for Adults with Learning Disabilities. AIiH (1) (2024)
Mikel Williams-Lekuona, Georgina Cosma
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis. CoRR (2024)
Eufrásio de A. Lima Neto, Jonathan Bailiss, Axel Finke, Jo Miller, Georgina Cosma
Identifying early help referrals for local authorities with machine learning and bias analysis. J. Comput. Soc. Sci. 7 (1) (2024)
Yan Gong, Georgina Cosma, Axel Finke
Neural-Based Cross-Modal Search and Retrieval of Artwork. SSCI (2023)
Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Jason Watkins
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models. CoRR (2023)
Andrew Houston, Georgina Cosma
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty. CoRR (2023)
Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity
A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets. SN Comput. Sci. 4 (6) (2023)
Andrew Houston, Georgina Cosma
A genetically-optimised artificial life algorithm for complexity-based synthetic dataset generation. Inf. Sci. 619 (2023)
Jingrui Hou, Georgina Cosma, Axel Finke
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation. CoRR (2023)
Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Jason Watkins
ForestMonkey: Toolkit for Reasoning with AI-Based Defect Detection and Classification Models. SSCI (2023)
Yan Gong, Georgina Cosma
Boon: A Neural Search Engine for Cross-Modal Information Retrieval. MMIR@MM (2023)
Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Axel Finke, Jason Watkins
Morphological Image Analysis and Feature Extraction for Reasoning with AI-Based Defect Detection and Classification Models. SSCI (2023)
Yan Gong, Georgina Cosma
CLIP-RR: Improved CLIP Network for Relation-Focused Cross-Modal Information Retrieval. CoRR (2023)
Yan Gong, Georgina Cosma, Axel Finke
Neural-based Cross-modal Search and Retrieval of Artwork. CoRR (2023)
Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Axel Finke, Jason Watkins
Morphological Image Analysis and Feature Extraction for Reasoning with AI-based Defect Detection and Classification Models. CoRR (2023)
Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Jason Watkins
Efficient Retrieval of Images with Irregular Patterns Using Morphological Image Analysis: Applications to Industrial and Healthcare Datasets. J. Imaging 9 (12) (2023)
Eufrásio de A. Lima Neto, Jonathan Bailiss, Axel Finke, Jo Miller, Georgina Cosma
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis. CoRR (2023)
Yan Gong, Georgina Cosma
Improving visual-semantic embeddings by learning semantically-enhanced hard negatives for cross-modal information retrieval. Pattern Recognit. 137 (2023)
Yan Gong, Georgina Cosma
Boon: A Neural Search Engine for Cross-Modal Information Retrieval. CoRR (2023)
Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Jason Watkins
Efficient Retrieval of Images with Irregular Patterns using Morphological Image Analysis: Applications to Industrial and Healthcare datasets. CoRR (2023)
Yan Gong, Georgina Cosma
Semantically Enhanced Hard Negatives for Cross-modal Information Retrieval. CoRR (2022)
Guoming Long, Tao Chen, Georgina Cosma
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. APSEC (2022)
Mikel Williams-Lekuona, Georgina Cosma, Iain W. Phillips
A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval. J. Imaging 8 (12) (2022)
Guoming Long, Tao Chen, Georgina Cosma
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. CoRR (2022)
Jiajun Zhang, Georgina Cosma, Jason Watkins
Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification. J. Imaging 7 (3) (2021)
Yan Gong, Georgina Cosma, Hui Fang
On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval. J. Imaging 7 (8) (2021)
Muhammad Raza Khowja, Gulrukh Turabee, Paolo Giangrande, Vincenzo Madonna, Georgina Cosma, Gaurang Vakil, Chris Gerada, Michael Galea
Lifetime Estimation of Enameled Wires Under Accelerated Thermal Aging Using Curve Fitting Methods. IEEE Access 9 (2021)
Sadegh Salesi, Georgina Cosma, Michalis Mavrovouniotis
TAGA: Tabu Asexual Genetic Algorithm embedded in a filter/filter feature selection approach for high-dimensional data. Inf. Sci. 565 (2021)
Sadegh Salesi, Georgina Cosma
Generalisation Power Analysis for finding a stable set of features using evolutionary algorithms for feature selection. Knowl. Based Syst. 231 (2021)
Ali A. Alani, Georgina Cosma, Aboozar Taherkhani
Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning. IJCNN (2020)
Gulrukh Turabee, Muhammad Raza Khowja, Paolo Giangrande, Vincenzo Madonna, Georgina Cosma, Gaurang Vakil, Chris Gerada, Michael Galea
The Role of Neural Networks in Predicting the Thermal Life of Electrical Machines. IEEE Access 8 (2020)
Oluwaseyi Ogun, Mbetobong Enoh, Georgina Cosma, Aboozar Taherkhani, Vincenzo Madonna
Enhancing Prediction in Cyclone Separators through Computational Intelligence. CEC (2020)
Gulrukh Turabee, Georgina Cosma, Vincenzo Madonna, Paolo Giangrande, Muhammad Raza Khowja, Gaurang Vakil, Chris Gerada, Michael Galea
Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging. IJCNN (2020)
Aboozar Taherkhani, Georgina Cosma, Thomas Martin McGinnity
Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern. IEEE Trans. Cogn. Dev. Syst. 12 (3) (2020)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, Liam P. Maguire, T. Martin McGinnity
A review of learning in biologically plausible spiking neural networks. Neural Networks 122 (2020)
Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning. Neurocomputing 404 (2020)
Pedro Machado, Georgina Cosma, T. Martin McGinnity
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images. CoRR (2019)
Pedro Machado, Georgina Cosma, T. Martin McGinnity
NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images. ICANN (1) (2019)
Oluwabunmi Oloruntoba, Georgina Cosma, Antonio Liotta
Clan-Based Cultural Algorithm for Feature Selection. ICDM Workshops (2019)
Rowida Alfrjani, Taha Osman, Georgina Cosma
A Hybrid Semantic Knowledgebase-Machine Learning Approach for Opinion Mining. Data Knowl. Eng. 121 (2019)
Gulrukh Turabee, Yuan Shen, Georgina Cosma
Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification. UKCI (2019)
Georgina Cosma, Thomas Martin McGinnity
Feature Extraction and Classification Using Leading Eigenvectors: Applications to Biomedical and Multi-Modal mHealth Data. IEEE Access 7 (2019)
Pedro Machado, Andreas Oikonomou, Georgina Cosma, T. Martin McGinnity
Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements. IJCNN (2018)
Vinayak Ashok Bharadi, Bhavesh Pandya, Georgina Cosma
Multi-Modal Biometric Recognition Using Human Iris and Dynamic Pressure Variation of Handwritten Signatures. SNAMS (2018)
Ioannis Vourgidis, Shadreck Joseph Mafuma, Paul Wilson, Jenny Carter, Georgina Cosma
Medical Expert Systems - A Study of Trust and Acceptance by Healthcare Stakeholders. UKCI (2018)
Aboozar Taherkhani, Georgina Cosma, T. Martin McGinnity
Deep-FS: A feature selection algorithm for Deep Boltzmann Machines. Neurocomputing 322 (2018)
Sadegh Salesi, Ali A. Alani, Georgina Cosma
A Hybrid Model for Classification of Biomedical Data Using Feature Filtering and a Convolutional Neural Network. SNAMS (2018)
Abeer Alzubaidi, Georgina Cosma
A multivariate feature selection framework for high dimensional biomedical data classification. CIBCB (2017)
Olfat M. Mirza, Mike Joy, Georgina Cosma
Style Analysis for Source Code Plagiarism Detection - An Analysis of a Dataset of Student Coursework. ICALT (2017)
Georgina Cosma, Mike Joy, Jane E. Sinclair, Margarita Andreou, Dongyong Zhang, Beverley Cook, Russell Boyatt
Perceptual Comparison of Source-Code Plagiarism within Students from UK, China, and South Cyprus Higher Education Institutions. ACM Trans. Comput. Educ. 17 (2) (2017)
Georgina Cosma, David J. Brown, Matthew Archer, Masood Khan, A. Graham Pockley
A survey on computational intelligence approaches for predictive modeling in prostate cancer. Expert Syst. Appl. 70 (2017)
Abeer Alzubaidi, David J. Brown, Georgina Cosma, A. Graham Pockley
A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer. SSCI (2016)
Georgina Cosma, Giovanni Acampora
A computational intelligence approach to efficiently predicting review ratings in e-commerce. Appl. Soft Comput. 44 (2016)
Abeer Alzubaidi, Georgina Cosma, David J. Brown, A. Graham Pockley
Breast Cancer Diagnosis Using a Hybrid Genetic Algorithm for Feature Selection Based on Mutual Information. iTAG (2016)
Rowida Alfrjani, Taha Osman, Georgina Cosma
A New Approach to Ontology-Based Semantic Modelling for Opinion Mining. UKSim (2016)
Georgina Cosma, Nicholas Shopland, Steven Battersby, Sarah Seymour-Smith, A. Graham Pockley, Matthew Archer, Rose Thompson, Masood Khan, David J. Brown
Co-design of a Prostate Cancer Serious Game for African Caribbean Men. iTAG (2015)
Giovanni Acampora, Georgina Cosma
A Fuzzy-based approach to programming language independent source-code plagiarism detection. FUZZ-IEEE (2015)
David J. Brown, Georgina Cosma, Giovanni Acampora, Sarah Seymour-Smith, Alex Close
An Intelligent Serious Game for Supporting African and African Caribbean Men during Pre- and Post-Diagnosis of Prostate Cancer. iTAG (2014)
Giovanni Acampora, Georgina Cosma
A hybrid computational intelligence approach for efficiently evaluating customer sentiments in E-commerce reviews. IEEE IA (2014)
Giovanni Acampora, Georgina Cosma, Taha Osman
An extended neuro-fuzzy approach for efficiently predicting review ratings in E-markets. FUZZ-IEEE (2014)
Georgina Cosma, Mike Joy
Evaluating the Performance of LSA for Source-code Plagiarism Detection. Informatica (Slovenia) 36 (4) (2012)
Georgina Cosma, Mike Joy
An Approach to Source-Code Plagiarism Detection and Investigation Using Latent Semantic Analysis. IEEE Trans. Computers 61 (3) (2012)
Mike Joy, Georgina Cosma, Jane Yau, Jane E. Sinclair
Source Code Plagiarism - A Student Perspective. IEEE Trans. Educ. 54 (1) (2011)
Georgina Cosma, Mike Joy
Towards a Definition of Source-Code Plagiarism. IEEE Trans. Educ. 51 (2) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Georgina Cosma