Georgina Cosma

89 papers B 7C 3Journal 55Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Framework for Evaluating Faithfulness in Explainable AI for Machine Anomalous Sound Detection Using Frequency-Band Perturbation. CoRR Alexander Buck, Georgina Cosma, Iain Phillips, Paul Conway, Patrick Baker
2026	—	`conf`	Image Complexity-Aware Adaptive Retrieval for Efficient Vision-Language Models. ECIR (1) Mikel Williams-Lekuona, Georgina Cosma
2026	J	`jnl`	Neural corrective machine unranking. Inf. Sci. Jingrui Hou, Axel Finke, Georgina Cosma
2025	J	`jnl`	A meta-heuristic approach to estimate and explain classifier uncertainty. Appl. Intell. Andrew Houston, Georgina Cosma
2025	J	`jnl`	Advancing continual lifelong learning in neural information retrieval: Definition, dataset, framework, and empirical evaluation. Inf. Sci. Jingrui Hou, Georgina Cosma, Axel Finke
2025	J	`jnl`	Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning. Frontiers Digit. Health Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2025	J	`jnl`	FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis. Int. J. Multim. Inf. Retr. Mikel Williams-Lekuona, Georgina Cosma
2025	—	`conf`	First-Shot Machine Anomalous Sound Detection: Exploring the Impact of Limited Target Dataset Size on Model Performance. DSP Alex Buck, Georgina Cosma, Iain Phillips, Paul Conway, Patrick Baker
2025	J	`jnl`	Image Complexity-Aware Adaptive Retrieval for Efficient Vision-Language Models. CoRR Mikel Williams-Lekuona, Georgina Cosma
2025	J	`jnl`	On the limitation of evaluating machine unlearning using only a single training seed. CoRR Jamie Lanyon, Axel Finke, Petros Andreou, Georgina Cosma
2025	J	`jnl`	Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajectories. Frontiers Digit. Health Rania Kousovista, Georgina Cosma, Emeka Abakasanga, Ashley Akbari, Francesco Zaccardi, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2024	—	`conf`	Cluster and Trajectory Analysis of Multiple Long-Term Conditions in Adults with Learning Disabilities. AIiH (2) Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2024	J	`jnl`	Equitable Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning. CoRR Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2024	J	`jnl`	FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis. CoRR Mikel Williams-Lekuona, Georgina Cosma
2024	J	`jnl`	I-SIRch: AI-Powered Concept Annotation Tool For Equitable Extraction And Analysis Of Safety Insights From Maternity Investigations. CoRR Mohit Kumar Singh, Georgina Cosma, Patrick Waterson, Jonathan Back, Gyuchan Thomas Jun
2024	—	`conf`	Identifying Clusters on Multiple Long-Term Conditions for Adults with Learning Disabilities. AIiH (1) Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2024	J	`jnl`	Identifying early help referrals for local authorities with machine learning and bias analysis. J. Comput. Soc. Sci. Eufrásio de A. Lima Neto, Jonathan Bailiss, Axel Finke, Jo Miller, Georgina Cosma
2024	J	`jnl`	Intelligent Multi-Document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports. CoRR Georgina Cosma, Mohit Kumar Singh, Patrick Waterson, Gyuchan Thomas Jun, Jonathan Back
2024	—	`conf`	Intelligent Multi-document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports. AIiH (2) Georgina Cosma, Mohit Kumar Singh, Patrick Waterson, Gyuchan Thomas Jun, Jonathan Back
2024	J	`jnl`	Neural Corrective Machine Unranking. CoRR Jingrui Hou, Axel Finke, Georgina Cosma
2024	J	`jnl`	Neural Machine Unranking. CoRR Jingrui Hou, Axel Finke, Georgina Cosma
2024	J	`jnl`	Temporal Patterns of Multiple Long-Term Conditions in Individuals with Intellectual Disability Living in Wales: An Unsupervised Clustering Approach to Disease Trajectories. CoRR Rania Kousovista, Georgina Cosma, Emeka Abakasanga, Ashley Akbari, Francesco Zaccardi, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
2024	—	`conf`	Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reports. AIiH (1) Georgina Cosma, Mohit Kumar Singh, Patrick Waterson, Gyuchan Thomas Jun, Jonathan Back
2024	J	`jnl`	Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reports. CoRR Georgina Cosma, Mohit Kumar Singh, Patrick Waterson, Gyuchan Thomas Jun, Jonathan Back
2024	J	`jnl`	VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval. ACM Trans. Knowl. Discov. Data Yan Gong, Georgina Cosma, Axel Finke
2023	J	`jnl`	A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets. SN Comput. Sci. Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity
2023	J	`jnl`	A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty. CoRR Andrew Houston, Georgina Cosma
2023	J	`jnl`	A genetically-optimised artificial life algorithm for complexity-based synthetic dataset generation. Inf. Sci. Andrew Houston, Georgina Cosma
2023	J	`jnl`	Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation. CoRR Jingrui Hou, Georgina Cosma, Axel Finke
2023	—	`conf`	Boon: A Neural Search Engine for Cross-Modal Information Retrieval. MMIR@MM Yan Gong, Georgina Cosma
2023	J	`jnl`	Boon: A Neural Search Engine for Cross-Modal Information Retrieval. CoRR Yan Gong, Georgina Cosma
2023	J	`jnl`	CLIP-RR: Improved CLIP Network for Relation-Focused Cross-Modal Information Retrieval. CoRR Yan Gong, Georgina Cosma
2023	J	`jnl`	Efficient Retrieval of Images with Irregular Patterns Using Morphological Image Analysis: Applications to Industrial and Healthcare Datasets. J. Imaging Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Jason Watkins
2023	J	`jnl`	Efficient Retrieval of Images with Irregular Patterns using Morphological Image Analysis: Applications to Industrial and Healthcare datasets. CoRR Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Jason Watkins
2023	—	`conf`	ForestMonkey: Toolkit for Reasoning with AI-Based Defect Detection and Classification Models. SSCI Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Jason Watkins
2023	J	`jnl`	ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models. CoRR Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Jason Watkins
2023	J	`jnl`	Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis. CoRR Eufrásio de A. Lima Neto, Jonathan Bailiss, Axel Finke, Jo Miller, Georgina Cosma
2023	J	`jnl`	Improving visual-semantic embeddings by learning semantically-enhanced hard negatives for cross-modal information retrieval. Pattern Recognit. Yan Gong, Georgina Cosma
2023	—	`conf`	Morphological Image Analysis and Feature Extraction for Reasoning with AI-Based Defect Detection and Classification Models. SSCI Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Axel Finke, Jason Watkins
2023	J	`jnl`	Morphological Image Analysis and Feature Extraction for Reasoning with AI-based Defect Detection and Classification Models. CoRR Jiajun Zhang, Georgina Cosma, Sarah L. Bugby, Axel Finke, Jason Watkins
2023	C	`conf`	Natural Language Processing Approaches in Industrial Maintenance: A Systematic Literature Review. ISM Keyi Zhong, Tom Jackson, Andrew A. West, Georgina Cosma
2023	—	`conf`	Neural-Based Cross-Modal Search and Retrieval of Artwork. SSCI Yan Gong, Georgina Cosma, Axel Finke
2023	J	`jnl`	Neural-based Cross-modal Search and Retrieval of Artwork. CoRR Yan Gong, Georgina Cosma, Axel Finke
2022	J	`jnl`	A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval. J. Imaging Mikel Williams-Lekuona, Georgina Cosma, Iain Phillips
2022	C	`conf`	Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. APSEC Guoming Long, Tao Chen, Georgina Cosma
2022	J	`jnl`	Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. CoRR Guoming Long, Tao Chen, Georgina Cosma
2022	J	`jnl`	Semantically Enhanced Hard Negatives for Cross-modal Information Retrieval. CoRR Yan Gong, Georgina Cosma
2021	J	`jnl`	Generalisation Power Analysis for finding a stable set of features using evolutionary algorithms for feature selection. Knowl. Based Syst. Sadegh Salesi, Georgina Cosma
2021	J	`jnl`	Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification. J. Imaging Jiajun Zhang, Georgina Cosma, Jason Watkins
2021	J	`jnl`	Lifetime Estimation of Enameled Wires Under Accelerated Thermal Aging Using Curve Fitting Methods. IEEE Access Muhammad Raza Khowja, Gulrukh Turabee, Paolo Giangrande, Vincenzo Madonna, Georgina Cosma, Gaurang Vakil, Chris Gerada, Michael Galea
2021	J	`jnl`	On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval. J. Imaging Yan Gong, Georgina Cosma, Hui Fang
2021	J	`jnl`	TAGA: Tabu Asexual Genetic Algorithm embedded in a filter/filter feature selection approach for high-dimensional data. Inf. Sci. Sadegh Salesi, Georgina Cosma, Michalis Mavrovouniotis
2020	J	`jnl`	A review of learning in biologically plausible spiking neural networks. Neural Networks Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, Liam P. Maguire, T. Martin McGinnity
2020	J	`jnl`	AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning. Neurocomputing Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity
2020	B	`conf`	Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning. IJCNN Ali A. Alani, Georgina Cosma, Aboozar Taherkhani
2020	B	`conf`	Enhancing Prediction in Cyclone Separators through Computational Intelligence. CEC Oluwaseyi Ogun, Mbetobong Enoh, Georgina Cosma, Aboozar Taherkhani, Vincenzo Madonna
2020	J	`jnl`	Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern. IEEE Trans. Cogn. Dev. Syst. Aboozar Taherkhani, Georgina Cosma, Thomas Martin McGinnity
2020	B	`conf`	Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging. IJCNN Gulrukh Turabee, Georgina Cosma, Vincenzo Madonna, Paolo Giangrande, Muhammad Raza Khowja, Gaurang Vakil, Chris Gerada, Michael Galea
2020	J	`jnl`	The Role of Neural Networks in Predicting the Thermal Life of Electrical Machines. IEEE Access Gulrukh Turabee, Muhammad Raza Khowja, Paolo Giangrande, Vincenzo Madonna, Georgina Cosma, Gaurang Vakil, Chris Gerada, Michael Galea
2019	J	`jnl`	A Hybrid Semantic Knowledgebase-Machine Learning Approach for Opinion Mining. Data Knowl. Eng. Rowida Alfrjani, Taha Osman, Georgina Cosma
2019	—	`conf`	Clan-Based Cultural Algorithm for Feature Selection. ICDM Workshops Oluwabunmi Oloruntoba, Georgina Cosma, Antonio Liotta
2019	J	`jnl`	Feature Extraction and Classification Using Leading Eigenvectors: Applications to Biomedical and Multi-Modal mHealth Data. IEEE Access Georgina Cosma, Thomas Martin McGinnity
2019	—	`conf`	Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification. UKCI Gulrukh Turabee, Yuan Shen, Georgina Cosma
2019	—	`conf`	NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images. ICANN (1) Pedro Machado, Georgina Cosma, T. Martin McGinnity
2019	J	`jnl`	NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images. CoRR Pedro Machado, Georgina Cosma, T. Martin McGinnity
2018	—	`conf`	A Hybrid Model for Classification of Biomedical Data Using Feature Filtering and a Convolutional Neural Network. SNAMS Sadegh Salesi, Ali A. Alani, Georgina Cosma
2018	B	`conf`	Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements. IJCNN Pedro Machado, Andreas Oikonomou, Georgina Cosma, T. Martin McGinnity
2018	J	`jnl`	Deep-FS: A feature selection algorithm for Deep Boltzmann Machines. Neurocomputing Aboozar Taherkhani, Georgina Cosma, T. Martin McGinnity
2018	—	`conf`	Medical Expert Systems - A Study of Trust and Acceptance by Healthcare Stakeholders. UKCI Ioannis Vourgidis, Shadreck Joseph Mafuma, Paul Wilson, Jenny Carter, Georgina Cosma
2018	—	`conf`	Multi-Modal Biometric Recognition Using Human Iris and Dynamic Pressure Variation of Handwritten Signatures. SNAMS Vinayak Ashok Bharadi, Bhavesh Pandya, Georgina Cosma
2017	C	`conf`	A multivariate feature selection framework for high dimensional biomedical data classification. CIBCB Abeer Alzubaidi, Georgina Cosma
2017	J	`jnl`	A survey on computational intelligence approaches for predictive modeling in prostate cancer. Expert Syst. Appl. Georgina Cosma, David J. Brown, Matthew Archer, Masood Khan, A. Graham Pockley
2017	J	`jnl`	Perceptual Comparison of Source-Code Plagiarism within Students from UK, China, and South Cyprus Higher Education Institutions. ACM Trans. Comput. Educ. Georgina Cosma, Mike Joy, Jane E. Sinclair, Margarita Andreou, Dongyong Zhang, Beverley Cook, Russell Boyatt
2017	B	`conf`	Style Analysis for Source Code Plagiarism Detection - An Analysis of a Dataset of Student Coursework. ICALT Olfat M. Mirza, Mike Joy, Georgina Cosma
2016	—	`conf`	A New Approach to Ontology-Based Semantic Modelling for Opinion Mining. UKSim Rowida Alfrjani, Taha Osman, Georgina Cosma
2016	J	`jnl`	A computational intelligence approach to efficiently predicting review ratings in e-commerce. Appl. Soft Comput. Georgina Cosma, Giovanni Acampora
2016	—	`conf`	A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer. SSCI Abeer Alzubaidi, David J. Brown, Georgina Cosma, A. Graham Pockley
2016	—	`conf`	Breast Cancer Diagnosis Using a Hybrid Genetic Algorithm for Feature Selection Based on Mutual Information. iTAG Abeer Alzubaidi, Georgina Cosma, David J. Brown, A. Graham Pockley
2016	—	`ch.`	Neuro-Fuzzy Sentiment Analysis for Customer Review Rating Prediction. Sentiment Analysis and Ontology Engineering Georgina Cosma, Giovanni Acampora
2015	B	`conf`	A Fuzzy-based approach to programming language independent source-code plagiarism detection. FUZZ-IEEE Giovanni Acampora, Georgina Cosma
2015	—	`conf`	Co-design of a Prostate Cancer Serious Game for African Caribbean Men. iTAG Georgina Cosma, Nicholas Shopland, Steven Battersby, Sarah Seymour-Smith, A. Graham Pockley, Matthew Archer, Rose Thompson, Masood Khan, David J. Brown
2014	—	`conf`	A hybrid computational intelligence approach for efficiently evaluating customer sentiments in E-commerce reviews. IEEE IA Giovanni Acampora, Georgina Cosma
2014	—	`conf`	An Intelligent Serious Game for Supporting African and African Caribbean Men during Pre- and Post-Diagnosis of Prostate Cancer. iTAG David J. Brown, Georgina Cosma, Giovanni Acampora, Sarah Seymour-Smith, Alex Close
2014	B	`conf`	An extended neuro-fuzzy approach for efficiently predicting review ratings in E-markets. FUZZ-IEEE Giovanni Acampora, Georgina Cosma, Taha Osman
2012	J	`jnl`	An Approach to Source-Code Plagiarism Detection and Investigation Using Latent Semantic Analysis. IEEE Trans. Computers Georgina Cosma, Mike Joy
2012	J	`jnl`	Evaluating the Performance of LSA for Source-code Plagiarism Detection. Informatica (Slovenia) Georgina Cosma, Mike Joy
2011	J	`jnl`	Source Code Plagiarism - A Student Perspective. IEEE Trans. Educ. Mike Joy, Georgina Cosma, Jane Yau, Jane E. Sinclair
2008	—	`—`	An approach to source-code plagiarism detection investigation using latent semantic analysis. Georgina Cosma
2008	J	`jnl`	Towards a Definition of Source-Code Plagiarism. IEEE Trans. Educ. Georgina Cosma, Mike Joy