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2020 – today
- 2023
[j22]Andrew Houston, Georgina Cosma:
A genetically-optimised artificial life algorithm for complexity-based synthetic dataset generation. Inf. Sci. 619: 540-561 (2023)- [j21]Yan Gong
, Georgina Cosma:
Improving visual-semantic embeddings by learning semantically-enhanced hard negatives for cross-modal information retrieval. Pattern Recognit. 137: 109272 (2023) - [i5]Yan Gong, Georgina Cosma:
CLIP-RR: Improved CLIP Network for Relation-Focused Cross-Modal Information Retrieval. CoRR abs/2302.06350 (2023) - [i4]Andrew Houston, Georgina Cosma:
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty. CoRR abs/2304.10284 (2023) - 2022
- [j20]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): 328 (2022) - [c21]Guoming Long, Tao Chen, Georgina Cosma:
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. APSEC 2022: 289-298 - [i3]Guoming Long, Tao Chen, Georgina Cosma:
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks. CoRR abs/2210.01855 (2022) - [i2]Yan Gong, Georgina Cosma:
Semantically Enhanced Hard Negatives for Cross-modal Information Retrieval. CoRR abs/2210.04754 (2022) - 2021
- [j19]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: 18993-19003 (2021) - [j18]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: 105-127 (2021) - [j17]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): 46 (2021) - [j16]Yan Gong, Georgina Cosma, Hui Fang:
On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval. J. Imaging 7(8): 125 (2021) - [j15]Sadegh Salesi, Georgina Cosma:
Generalisation Power Analysis for finding a stable set of features using evolutionary algorithms for feature selection. Knowl. Based Syst. 231: 107450 (2021) - 2020
- [j14]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: 40283-40297 (2020) - [j13]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: 351-366 (2020) - [j12]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: 253-272 (2020) - [j11]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): 427-438 (2020) - [c20]Oluwaseyi Ogun, Mbetobong Enoh, Georgina Cosma, Aboozar Taherkhani, Vincenzo Madonna:
Enhancing Prediction in Cyclone Separators through Computational Intelligence. CEC 2020: 1-8 - [c19]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: 1-8 - [c18]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: 1-7
2010 – 2019
- 2019
- [j10]Georgina Cosma, Thomas Martin McGinnity:
Feature Extraction and Classification Using Leading Eigenvectors: Applications to Biomedical and Multi-Modal mHealth Data. IEEE Access 7: 107400-107412 (2019) - [j9]Rowida Alfrjani, Taha Osman, Georgina Cosma:
A Hybrid Semantic Knowledgebase-Machine Learning Approach for Opinion Mining. Data Knowl. Eng. 121: 88-108 (2019) - [c17]Pedro Machado, Georgina Cosma, T. Martin McGinnity:
NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images. ICANN (1) 2019: 351-362 - [c16]Oluwabunmi Oloruntoba, Georgina Cosma, Antonio Liotta:
Clan-Based Cultural Algorithm for Feature Selection. ICDM Workshops 2019: 465-472 - [c15]Gulrukh Turabee, Yuan Shen, Georgina Cosma:
Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification. UKCI 2019: 142-154 - [i1]Pedro Machado, Georgina Cosma, T. Martin McGinnity:
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images. CoRR abs/1909.08288 (2019) - 2018
- [j8]Aboozar Taherkhani, Georgina Cosma, T. Martin McGinnity:
Deep-FS: A feature selection algorithm for Deep Boltzmann Machines. Neurocomputing 322: 22-37 (2018) - [c14]Pedro Machado, Andreas Oikonomou, Georgina Cosma, T. Martin McGinnity:
Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements. IJCNN 2018: 1-8 - [c13]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: 226-232 - [c12]Vinayak Ashok Bharadi, Bhavesh Pandya, Georgina Cosma:
Multi-Modal Biometric Recognition Using Human Iris and Dynamic Pressure Variation of Handwritten Signatures. SNAMS 2018: 233-238 - [c11]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: 108-119 - 2017
- [j7]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: 1-19 (2017) - [j6]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): 8:1-8:16 (2017) - [c10]Abeer Alzubaidi, Georgina Cosma:
A multivariate feature selection framework for high dimensional biomedical data classification. CIBCB 2017: 1-8 - [c9]Olfat M. Mirza, Mike Joy, Georgina Cosma:
Style Analysis for Source Code Plagiarism Detection - An Analysis of a Dataset of Student Coursework. ICALT 2017: 296-297 - 2016
- [j5]Georgina Cosma, Giovanni Acampora:
A computational intelligence approach to efficiently predicting review ratings in e-commerce. Appl. Soft Comput. 44: 153-162 (2016) - [c8]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: 70-76 - [c7]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: 1-8 - [c6]Rowida Alfrjani, Taha Osman, Georgina Cosma:
A New Approach to Ontology-Based Semantic Modelling for Opinion Mining. UKSim 2016: 267-272 - [p1]Georgina Cosma, Giovanni Acampora:
Neuro-Fuzzy Sentiment Analysis for Customer Review Rating Prediction. Sentiment Analysis and Ontology Engineering 2016: 379-397 - 2015
- [c5]Giovanni Acampora, Georgina Cosma:
A Fuzzy-based approach to programming language independent source-code plagiarism detection. FUZZ-IEEE 2015: 1-8 - [c4]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: 71-75 - 2014
- [c3]Giovanni Acampora, Georgina Cosma, Taha Osman:
An extended neuro-fuzzy approach for efficiently predicting review ratings in E-markets. FUZZ-IEEE 2014: 881-887 - [c2]Giovanni Acampora, Georgina Cosma:
A hybrid computational intelligence approach for efficiently evaluating customer sentiments in E-commerce reviews. IEEE IA 2014: 73-80 - [c1]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: 20-27 - 2012
- [j4]Georgina Cosma, Mike Joy:
Evaluating the Performance of LSA for Source-code Plagiarism Detection. Informatica (Slovenia) 36(4): 409-424 (2012) - [j3]Georgina Cosma, Mike Joy:
An Approach to Source-Code Plagiarism Detection and Investigation Using Latent Semantic Analysis. IEEE Trans. Computers 61(3): 379-394 (2012) - 2011
- [j2]Mike Joy, Georgina Cosma, Jane Yau, Jane E. Sinclair:
Source Code Plagiarism - A Student Perspective. IEEE Trans. Educ. 54(1): 125-132 (2011)
2000 – 2009
- 2008
- [b1]Georgina Cosma:
An approach to source-code plagiarism detection investigation using latent semantic analysis. University of Warwick, Coventry, UK, 2008 - [j1]Georgina Cosma, Mike Joy:
Towards a Definition of Source-Code Plagiarism. IEEE Trans. Educ. 51(2): 195-200 (2008)
Coauthor Index
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last updated on 2023-05-15 01:09 CEST by the dblp team
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