Noura Al Moubayed
Noura Al Moubayed
Assistant Professor in Machine Learning, Department of Computer Science, Durham University
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Cited by
D2MOPSO: MOPSO based on Decomposition and Dominance with Archiving using Crowding Distance in Objective and Solution Spaces
N Al Moubayed, A Pertovski, J McCall
Evolutionary Computation 22 (1), 47-77, 2014
A novel smart multi-objective particle swarm optimisation using decomposition
N Al Moubayed, A Petrovski, J McCall
International Conference on Parallel Problem Solving from Nature, 1-10, 2010
Face-based automatic personality perception
N Al Moubayed, Y Vazquez-Alvarez, A McKay, A Vinciarelli
Proceedings of the 22nd ACM international conference on Multimedia, 1153-1156, 2014
Signal generation for search-based testing of continuous systems
A Windisch, N Al Moubayed
2009 international conference on software testing, verification, and …, 2009
On the classification of SSVEP-based dry-EEG signals via convolutional neural networks
NKN Aznan, S Bonner, J Connolly, N Al Moubayed, T Breckon
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance
N Al Moubayed, A Petrovski, J McCall
European Conference on Evolutionary Computation in Combinatorial …, 2012
Binary-SDMOPSO and its application in channel selection for brain-computer interfaces
N Al Moubayed, BAS Hasan, JQ Gan, A Petrovski, J McCall
2010 UK Workshop on Computational Intelligence (UKCI), 1-6, 2010
Sms spam filtering using probabilistic topic modelling and stacked denoising autoencoder
N Al Moubayed, T Breckon, P Matthews, AS McGough
International Conference on Artificial Neural Networks, 423-430, 2016
Simulating brain signals: Creating synthetic eeg data via neural-based generative models for improved ssvep classification
NKN Aznan, A Atapour-Abarghouei, S Bonner, JD Connolly, ...
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
Temporal white-box testing using evolutionary algorithms
N Al Moubayed, A Windisch
2009 International Conference on Software Testing, Verification, and …, 2009
Clustering-based leaders’ selection in multi-objective particle swarm optimisation
N Al Moubayed, A Petrovski, J McCall
International Conference on Intelligent Data Engineering and Automated …, 2011
Type-2 diabetes mellitus diagnosis from time series clinical data using deep learning models
Z Alhassan, AS McGough, R Alshammari, T Daghstani, D Budgen, ...
International Conference on Artificial Neural Networks, 468-478, 2018
An exploration of dropout with rnns for natural language inference
A Gajbhiye, S Jaf, N Al Moubayed, AS McGough, S Bradley
International Conference on Artificial Neural Networks, 157-167, 2018
Continuous presentation for multi-objective channel selection in brain-computer interfaces
N Al Moubayed, BAS Hasan, JQ Gan, A Petrovski, J McCall
2012 IEEE Congress on Evolutionary Computation, 1-7, 2012
Multi-objective optimisation of cancer chemotherapy using smart pso with decomposition
N Al Moubayed, A Petrovski, J McCall
2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision …, 2011
Stacked denoising autoencoders for mortality risk prediction using imbalanced clinical data
Z Alhassan, D Budgen, R Alshammari, T Daghstani, AS McGough, ...
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
Using variable natural environment brain-computer interface stimuli for real-time humanoid robot navigation
NKN Aznan, JD Connolly, N Al Moubayed, TP Breckon
2019 International Conference on Robotics and Automation (ICRA), 4889-4895, 2019
Using machine learning in trace-driven energy-aware simulations of high-throughput computing systems
AS McGough, N Al Moubayed, M Forshaw
Proceedings of the 8th ACM/SPEC on International Conference on Performance …, 2017
Identifying changes in the cybersecurity threat landscape using the LDA-web topic modelling data search engine
N Al Moubayed, D Wall, AS McGough
International Conference on Human Aspects of Information Security, Privacy …, 2017
Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction
Z Alhassan, D Budgen, A Alessa, R Alshammari, T Daghstani, ...
International Conference on Artificial Neural Networks, 338-350, 2019
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