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Staff Profile

Dr Noura Al Moubayed - all publications

Chapter in book

  • Al Moubayed, N., Wall, D. & McGough, A. S. (2017). Identifying Changes in the Cybersecurity Threat Landscape using the LDA-Web Topic Modelling Data Search Engine. In 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. Tryfonas, Theo Cham: Springer. 287-295.
  • Al Moubayed, N, Petrovski, A & McCall, J (2013). Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. In Intelligent Data Engineering and Automated Learning – IDEAL 2013. Springer Berlin Heidelberg. 8206: 537-544.
  • Al Moubayed, N, Petrovski,A & McCall,J (2012). D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. In Evolutionary Computation in Combinatorial Optimization. Springer Berlin Heidelberg. 7245: 75-86.
  • Al Moubayed, N, Petrovski, A & McCall, J (2011). Clustering-Based Leaders’ Selection in Multi-Objective Particle Swarm Optimisation. In Intelligent Data Engineering and Automated Learning - IDEAL 2011. Springer Berlin Heidelberg. 6936: 100.
  • Al Moubayed, N, Petrovski, A & McCall, J (2010). A Novel Smart Multi-Objective Particle Swarm Optimisation using Decomposition. In Parallel Problem Solving from Nature, PPSN XI. Springer Berlin Heidelberg. 1-10.

Conference Paper

  • N, Al Moubayed, B, Awwad Shiekh Hasan & S.A, McGough (2017), Enhanced Detection of Movement Onset in EEG through Deep Oversampling, 30th International Joint Conference on Neural Networks (IJCNN 2017). Anchorage, Alaska, USA, IEEE, 1--10.
  • A. S, McGough, N, Al Moubayed & M, Forshaw (2017), Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems, ICPE '17 Companion 3rd International Workshop on Energy-aware Simulation (ENERGY-SIM’17). L'Aquila, ACM, New York, 55-60.
  • Al Moubayed, N., Breckon, T.P., Matthews, P.C. & McGough, A.S. (2016), SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder, in Villa, Alessandro E.P., Masulli, Paolo & Pons Rivero, Antonio J. eds, Lecture Notes in Computer Science 9887: Springer International Publishing, Cham, 423-430.
  • Al Moubayed, N , Vazquez-Alvarez, Y, McKay, A & Vinciarelli, A (2014), Face-Based Automatic Personality Perception, MM '14 Proceedings of the ACM International Conference on Multimedia - MM '14. Orlando, Florida, USA, ACM, 1153--1156.
  • Al Moubayed, N , Awwad Shiekh Hasan, B Gan, J Q Petrovski, A & McCall, J (2012), Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces, 2012 IEEE Congress on Evolutionary Computation. Brisbane, Australia, IEEE, 1-7.
  • Al Moubayed, N, Petrovski, A & McCall, J (2011), Clustering based leaders' selection in multi-objective evolutionary algorithms, Proceedings of the 13th annual conference companion on Genetic and evolutionary computation - GECCO '11. Dublin, Irland, ACM.
  • Al Moubayed, N, Petrovski, A & McCall, J (2011), Multi-objective Optimisation of Cancer Chemotherapy using Smart PSO with Decomposition, 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MDCM). Paris, France, IEEE, 81 - 88.
  • Al Moubayed, N , Awwad Shiekh Hasan, B, Gan, J Q Petrovski, A & McCall, J (2010), Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces, 2010 UK Workshop on Computational Intelligence (UKCI). Colchester, UK, IEEE, 1-6.
  • Windisch, A & Al Moubayed, N (2009), Signal Generation for Search-Based Testing of Continuous Systems, 2009 International Conference on Software Testing, Verification, and Validation Workshops. Denver, CO, IEEE.
  • Al Moubayed, N & Windisch, A (2009), Temporal White-Box Testing Using Evolutionary Algorithms, 2009 International Conference on Software Testing, Verification, and Validation Workshops. Denver, CO, IEEE, 150.
  • Al Moubayed, N & Awwad Shiekh Hasan, B (2009), Temporal White-Box Testing Using Evolutionary and Search-base Algorithms, 9th Annual Workshop on Computational Intelligence. Colchester, UK.

Doctoral Thesis

  • Al Moubayed, N (Accepted). Multi-objective particle swarm optimisation: methods and applications. Robert Gordon University. PhD.

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.