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Outputs (51)

Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices (2024)
Preprint / Working Paper
Watt, T., Chrysoulas, C., & Barclay, P. J. Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices

Image classification usually requires connectivity and access to the cloud which is often limited in many parts of the world, including hard to reach rural areas. TinyML aims to solve this problem by hosting AI assistants on constrained devices, elim... Read More about Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices.

Investigating Markers and Drivers of Gender Bias in Machine Translations (2024)
Presentation / Conference Contribution
Barclay, P., & Sami, A. (2024, March). Investigating Markers and Drivers of Gender Bias in Machine Translations. Presented at IEEE International Conference on Software Analysis, Evolution and Reengineering, Rovaniemi, Finland

Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world biases. However, some LLMs use heuristics or post-processing to mask such b... Read More about Investigating Markers and Drivers of Gender Bias in Machine Translations.

A case study of fairness in generated images of Large Language Models for Software Engineering tasks (2023)
Presentation / Conference Contribution
Sami, M., Sami, A., & Barclay, P. (2023, October). A case study of fairness in generated images of Large Language Models for Software Engineering tasks. Presented at 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME), Bogotá, Colombia

Bias in Large Language Models (LLMs) has significant implications. Since they have revolutionized content creation on the web, they can lead to more unfair outcomes, lack of inclusivity, reinforcement of stereotypes and ethical and legal concerns. No... Read More about A case study of fairness in generated images of Large Language Models for Software Engineering tasks.

A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda (2020)
Journal Article
Muller, L., Chrysoulas, C., Pitropakis, N., & Barclay, P. J. (2020). A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda. Big Data and Cognitive Computing, 4(4), Article 38. https://doi.org/10.3390/bdcc4040038

The shift towards microservisation which can be observed in recent developments of the cloud landscape for applications has led towards the emergence of the Function as a Service (FaaS) concept, also called Serverless. This term describes the event-d... Read More about A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda.

Application of evolutionary algorithms to learning evolved Bayesian Network models of rig operations in the Gulf of Mexico (2010)
Presentation / Conference Contribution
Fournier, F. A., Wu, Y., McCall, J., Petrovski, A., & Barclay, P. J. (2010, September). Application of evolutionary algorithms to learning evolved Bayesian Network models of rig operations in the Gulf of Mexico. Presented at 2010 UK Workshop on Computational Intelligence (UKCI), Colchester, UK

The operation of drilling rigs is highly expensive. It is therefore important to be able to identify and analyse variables affecting rig operations. We investigate the use of Genetic Algorithms and Ant Colony Optimisation to induce a Bayesian Network... Read More about Application of evolutionary algorithms to learning evolved Bayesian Network models of rig operations in the Gulf of Mexico.

Evolved Bayesian Network models of rig operations in the Gulf of Mexico (2010)
Presentation / Conference Contribution
Fournier, F. A., McCall, J., Petrovski, A., & Barclay, P. J. (2010). Evolved Bayesian Network models of rig operations in the Gulf of Mexico. In IEEE Congress on Evolutionary Computation. https://doi.org/10.1109/cec.2010.5586021

The operation of drilling rigs is highly expensive. It is therefore important to be able to identify and analyse factors affecting rig operations. We investigate the use of two Genetic Algorithms, K2GA and ChainGA, to induce a Bayesian Network model... Read More about Evolved Bayesian Network models of rig operations in the Gulf of Mexico.

Teallach — a flexible user-interface development environment for object database applications (2003)
Journal Article
Barclay, P. J., Griffiths, T., McKirdy, J., Kennedy, J., Cooper, R., Paton, N. W., & Gray, P. (2003). Teallach — a flexible user-interface development environment for object database applications. Journal of Visual Languages and Computing, 14(1), 47-77. https://doi.org/10.1016/s1045-926x%2802%2900056-3

The Teallach project has adapted model-based user-interface development techniques to the systematic creation of user-interfaces for object-oriented database applications. Model-based approaches aim to provide designers with a more principled approac... Read More about Teallach — a flexible user-interface development environment for object database applications.

Interoperable Services for Federations of Database System (2002)
Presentation / Conference Contribution
Roantree, M., Kennedy, J., & Barclay, P. J. (2002). Interoperable Services for Federations of Database System. In A. Caplinskas, & J. Eder (Eds.), Advances in Databases and Information Systems: Fifth East-European Conference ADBIS' 2001

The problems associated with defining interoperable protocols for heterogenous information systems has been the subject of researchers for many years. While numerous solutions have been offered, the problem remains unsolved, mainly due to the distinc... Read More about Interoperable Services for Federations of Database System.

Implementation of the Prometheus Taxonomic Model: a comparison of database models and query languages and an introduction to the Prometheus Object-Oriented Model. (2002)
Journal Article
Raguenaud, C., Pullan, M. R., Watson, M. F., Kennedy, J., Newman, M. F., & Barclay, P. J. (2002). Implementation of the Prometheus Taxonomic Model: a comparison of database models and query languages and an introduction to the Prometheus Object-Oriented Model. Taxon, 51(1), 131-142. https://doi.org/10.2307/1554970

Types of databases commonly used for handling taxonomic data are compared. It is shown that none of the existing types of databases fully support the requirements of taxonomic data. The results of this comparison provide a rationale for the design an... Read More about Implementation of the Prometheus Taxonomic Model: a comparison of database models and query languages and an introduction to the Prometheus Object-Oriented Model..