Outputs (57)

Identifying Changes in the Cybersecurity Threat Landscape using the LDA-Web Topic Modelling Data Search Engine (2017)
Book Chapter
Al Moubayed, N., Wall, D., & McGough, A. (2017). Identifying Changes in the Cybersecurity Threat Landscape using the LDA-Web Topic Modelling Data Search Engine. In T. Tryfonas (Ed.), Human aspects of information security, privacy and trust : 5th International Conference, HAS 2017, held as part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, proceedings (287-295). Springer Verlag. https://doi.org/10.1007/978-3-319-58460-7_19

Successful Cybersecurity depends on the processing of vast quantities of data from a diverse range of sources such as police reports, blogs, intelligence reports, security bulletins, and news sources. This results in large volumes of unstructured tex... Read More about Identifying Changes in the Cybersecurity Threat Landscape using the LDA-Web Topic Modelling Data Search Engine.

Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems (2017)
Presentation / Conference Contribution
McGough, A. S., Al Moubayed, N., & M, F. (2017, April). Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems. Presented at ENERGY-SIM 2017, L'Aqua

When performing a trace-driven simulation of a High Throughput Computing system we are limited to the knowledge which should be available to the system at the current point within the simulation. However, the trace-log contains information we would n... Read More about Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems.

SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder (2016)
Presentation / Conference Contribution
Al Moubayed, N., Breckon, T., Matthews, P., & McGough, A. (2016, August). SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder

In This paper we present a novel approach to spam filtering and demonstrate its applicability with respect to SMS messages. Our approach requires minimum features engineering and a small set of labelled data samples. Features are extracted using topi... Read More about SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder.

Multi-objective particle swarm optimisation: methods and applications (2014)
Thesis
Al Moubayed, N. Multi-objective particle swarm optimisation: methods and applications. (Thesis). Robert Gordon University. https://durham-repository.worktribe.com/output/1618029

Solving real life optimisation problems is a challenging engineering venture. Since the early days of research on optimisation it was realised that many problems do not simply have one optimisation objective. This led to the development of multi-obje... Read More about Multi-objective particle swarm optimisation: methods and applications.

Face-Based Automatic Personality Perception (2014)
Presentation / Conference Contribution
Al Moubayed, N., Vazquez-Alvarez, Y., McKay, A., & Vinciarelli, A. (2014, November). Face-Based Automatic Personality Perception. Presented at 22nd ACM international conference on Multimedia - MM '14, Orlando, Florida, USA

Automatic Personality Perception is the task of automatically predicting the personality traits people attribute to others. This work presents experiments where such a task is performed by mapping facial appearance into the Big-Five personality trait... Read More about Face-Based Automatic Personality Perception.

D2MOPSO: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces (2014)
Journal Article
Al Moubayed, N., Petrovski, A., & McCall, J. (2014). D2MOPSO: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces. Evolutionary Computation, 22(1), 47-77. https://doi.org/10.1162/evco_a_00104

This paper improves a recently developed multi-objective particle swarm optimizer () that incorporates dominance with decomposition used in the context of multi-objective optimization. Decomposition simplifies a multi-objective problem (MOP) by trans... Read More about D2MOPSO: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces.

Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces (2012)
Presentation / Conference Contribution
Al Moubayed, N., Awwad Shiekh Hasan, B., Gan, J., Petrovski, A., & McCall, J. (2012, June). Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. Presented at 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia

A novel presentation for channel selection problem in Brain-Computer Interfaces (BCI) is introduced here. Continuous presentation in a projected two-dimensional space of the Electroencephalograph (EEG) cap is proposed. A multi-objective particle swar... Read More about Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces.

Clustering based leaders' selection in multi-objective evolutionary algorithms (2011)
Presentation / Conference Contribution
Al Moubayed, N., Petrovski, A., & McCall, J. (2011, July). Clustering based leaders' selection in multi-objective evolutionary algorithms. Presented at Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11, Dublin, Irland

Clustering-based Leaders Selection (CLS) is a novel leaders selection technique in multi-objective evolutionary algorithms. Clustering is applied on both the objective and solution spaces whereby each individual is assigned to two clusters; one in th... Read More about Clustering based leaders' selection in multi-objective evolutionary algorithms.

Multi-objective Optimisation of Cancer Chemotherapy using Smart PSO with Decomposition (2011)
Presentation / Conference Contribution
Al Moubayed, N., Petrovski, A., & McCall, J. (2011, April). Multi-objective Optimisation of Cancer Chemotherapy using Smart PSO with Decomposition. Presented at 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MDCM), Paris, France

The paper presents a novel approach to optimising cancer chemotherapy with respect to conflicting treatment objectives aimed at reducing the number of cancerous cells and at limiting the amounts of anti-cancer drugs used. The approach is based on the... Read More about Multi-objective Optimisation of Cancer Chemotherapy using Smart PSO with Decomposition.

Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces (2010)
Presentation / Conference Contribution
Al Moubayed, N., Awwad Shiekh Hasan, B., Gan, J., Petrovski, A., & McCall, J. (2010, September). Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces. Presented at 2010 UK Workshop on Computational Intelligence (UKCI), Colchester, UK

In, we introduced Smart Multi-Objective Particle Swarm Optimisation using Decomposition (SDMOPSO). The method uses the decomposition approach proposed in Multi-Objective Evolutionary Algorithms based on Decomposition (MOEA/D), whereby a multi-objecti... Read More about Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces.