Georgina Cosma
Orcid: 0000-0002-4663-6907
According to our database1,
Georgina Cosma
authored at least 56 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A Deep Convolutional Neural Network for Time Series Classification with Intermediate Targets.
SN Comput. Sci., November, 2023
Improving visual-semantic embeddings by learning semantically-enhanced hard negatives for cross-modal information retrieval.
Pattern Recognit., May, 2023
Efficient Retrieval of Images with Irregular Patterns Using Morphological Image Analysis: Applications to Industrial and Healthcare Datasets.
J. Imaging, 2023
A genetically-optimised artificial life algorithm for complexity-based synthetic dataset generation.
Inf. Sci., 2023
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation.
CoRR, 2023
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis.
CoRR, 2023
CLIP-RR: Improved CLIP Network for Relation-Focused Cross-Modal Information Retrieval.
CoRR, 2023
ForestMonkey: Toolkit for Reasoning with AI-Based Defect Detection and Classification Models.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Morphological Image Analysis and Feature Extraction for Reasoning with AI-Based Defect Detection and Classification Models.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the 1st International Workshop on Deep Multimodal Learning for Information Retrieval, 2023
2022
A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval.
J. Imaging, December, 2022
CoRR, 2022
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022
2021
Generalisation Power Analysis for finding a stable set of features using evolutionary algorithms for feature selection.
Knowl. Based Syst., 2021
Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification.
J. Imaging, 2021
On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval.
J. Imaging, 2021
TAGA: Tabu Asexual Genetic Algorithm embedded in a filter/filter feature selection approach for high-dimensional data.
Inf. Sci., 2021
Lifetime Estimation of Enameled Wires Under Accelerated Thermal Aging Using Curve Fitting Methods.
IEEE Access, 2021
2020
Optimization of Output Spike Train Encoding for a Spiking Neuron Based on its Spatio-Temporal Input Pattern.
IEEE Trans. Cogn. Dev. Syst., 2020
Neural Networks, 2020
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning.
Neurocomputing, 2020
IEEE Access, 2020
Predicting Insulation Resistance of Enamelled Wire using Neural Network and Curve Fit Methods Under Thermal Aging.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Classifying Imbalanced Multi-modal Sensor Data for Human Activity Recognition in a Smart Home using Deep Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Data Knowl. Eng., 2019
Feature Extraction and Classification Using Leading Eigenvectors: Applications to Biomedical and Multi-Modal mHealth Data.
IEEE Access, 2019
Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification.
Proceedings of the Advances in Computational Intelligence Systems, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
NatCSNN: A Convolutional Spiking Neural Network for Recognition of Objects Extracted from Natural Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
2018
Neurocomputing, 2018
Proceedings of the Advances in Computational Intelligence Systems, 2018
A Hybrid Model for Classification of Biomedical Data Using Feature Filtering and a Convolutional Neural Network.
Proceedings of the Fifth International Conference on Social Networks Analysis, 2018
Multi-Modal Biometric Recognition Using Human Iris and Dynamic Pressure Variation of Handwritten Signatures.
Proceedings of the Fifth International Conference on Social Networks Analysis, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Perceptual Comparison of Source-Code Plagiarism within Students from UK, China, and South Cyprus Higher Education Institutions.
ACM Trans. Comput. Educ., 2017
A survey on computational intelligence approaches for predictive modeling in prostate cancer.
Expert Syst. Appl., 2017
Style Analysis for Source Code Plagiarism Detection - An Analysis of a Dataset of Student Coursework.
Proceedings of the 17th IEEE International Conference on Advanced Learning Technologies, 2017
A multivariate feature selection framework for high dimensional biomedical data classification.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017
2016
Proceedings of the Sentiment Analysis and Ontology Engineering, 2016
A computational intelligence approach to efficiently predicting review ratings in e-commerce.
Appl. Soft Comput., 2016
Proceedings of the UKSim-AMSS 18th International Conference on Computer Modelling and Simulation, 2016
A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Breast Cancer Diagnosis Using a Hybrid Genetic Algorithm for Feature Selection Based on Mutual Information.
Proceedings of the 2016 International Conference on Interactive Technologies and Games, 2016
2015
Proceedings of the 2015 International Conference on Interactive Technologies and Games, 2015
A Fuzzy-based approach to programming language independent source-code plagiarism detection.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
An Intelligent Serious Game for Supporting African and African Caribbean Men during Pre- and Post-Diagnosis of Prostate Cancer.
Proceedings of the 2014 International Conference on Interactive Technologies and Games, 2014
A hybrid computational intelligence approach for efficiently evaluating customer sentiments in E-commerce reviews.
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014
An extended neuro-fuzzy approach for efficiently predicting review ratings in E-markets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2012
An Approach to Source-Code Plagiarism Detection and Investigation Using Latent Semantic Analysis.
IEEE Trans. Computers, 2012
Informatica (Slovenia), 2012
2011
2008
An approach to source-code plagiarism detection investigation using latent semantic analysis.
PhD thesis, 2008