Georgina Cosma

According to our database1, Georgina Cosma authored at least 29 papers between 2008 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Bibliography

2019
A Hybrid Semantic Knowledgebase-Machine Learning Approach for Opinion Mining.
Data Knowl. Eng., 2019

NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images.
CoRR, 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

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
Deep-FS: A feature selection algorithm for Deep Boltzmann Machines.
Neurocomputing, 2018

Medical Expert Systems - A Study of Trust and Acceptance by Healthcare Stakeholders.
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

Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements.
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.
TOCE, 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
Neuro-Fuzzy Sentiment Analysis for Customer Review Rating Prediction.
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

A New Approach to Ontology-Based Semantic Modelling for Opinion Mining.
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
Co-design of a Prostate Cancer Serious Game for African Caribbean Men.
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

Evaluating the Performance of LSA for Source-code Plagiarism Detection.
Informatica (Slovenia), 2012

2011
Source Code Plagiarism - A Student Perspective.
IEEE Trans. Education, 2011

2008
An approach to source-code plagiarism detection investigation using latent semantic analysis.
PhD thesis, 2008

Towards a Definition of Source-Code Plagiarism.
IEEE Trans. Education, 2008


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