Noura Al Moubayed

117 papers A* 6A 5B 18C 3Journal 58Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reevaluating zero-shot information extraction: Sampling bias, prompting transferability and sensitivity in large language models. Inf. Process. Manag. Ke Huang, Chenghao Xiao, Yao Xiao, Ming Cai, Noura Al Moubayed
2025	J	`jnl`	Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal. CoRR Yang Wang, Chenghao Xiao, Yizhi Li, Stuart E. Middleton, Noura Al Moubayed, Chenghua Lin
2025	J	`jnl`	Adversarial Defense without Trans. Assoc. Comput. Linguistics Yang Wang, Chenghao Xiao, Yizhi Li, Stuart E. Middleton, Noura Al Moubayed, Chenghua Lin
2025	—	`conf`	Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations. ACL (1) Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong
2025	J	`jnl`	Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations. CoRR Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong
2025	—	`conf`	DiDGen: Diffusion-Based Dual-Task Synthesis for Dermoscopic Data Generation. MICCAI (11) Junjie Shentu, Matthew Watson, Noura Al Moubayed
2025	J	`jnl`	Early Detection and Reduction of Memorisation for Domain Adaptation and Instruction Tuning. CoRR Dean L. Slack, Noura Al Moubayed
2025	J	`jnl`	Early Detection and Reduction of Memorization for Domain Adaptation and Instruction Tuning. Trans. Assoc. Comput. Linguistics Dean L. Slack, Noura Al Moubayed
2025	A*	`conf`	Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models. ICML Patrick Leask, Neel Nanda, Noura Al Moubayed
2025	J	`jnl`	Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models. CoRR Patrick Leask, Neel Nanda, Noura Al Moubayed
2025	J	`jnl`	LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents. CoRR Strahinja Klem, Noura Al Moubayed
2025	J	`jnl`	MIEB: Massive Image Embedding Benchmark. CoRR Chenghao Xiao, Isaac Chung, Imene Kerboua, Jamie Stirling, Xin Zhang, Márton Kardos, Roman Solomatin, Noura Al Moubayed, Kenneth C. Enevoldsen, Niklas Muennighoff
2025	J	`jnl`	Racial Bias within Face Recognition: A Survey. ACM Comput. Surv. Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
2025	A*	`conf`	Sparse Autoencoders Do Not Find Canonical Units of Analysis. ICLR Patrick Leask, Bart Bussmann, Michael T. Pearce, Joseph Isaac Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda
2025	J	`jnl`	Sparse Autoencoders Do Not Find Canonical Units of Analysis. CoRR Patrick Leask, Bart Bussmann, Michael T. Pearce, Joseph Isaac Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda
2025	J	`jnl`	Video Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal Transformers. CoRR Dean L. Slack, G. Thomas Hudson, Thomas Winterbottom, Noura Al Moubayed
2025	J	`jnl`	Video Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal Transformers. IEEE Trans. Neural Networks Learn. Syst. Dean L. Slack, G. Thomas Hudson, Thomas Winterbottom, Noura Al Moubayed
2024	J	`jnl`	AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization. CoRR Junjie Shentu, Matthew Watson, Noura Al Moubayed
2024	—	`conf`	Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. NLP4KGC@SEMANTiCS Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed
2024	J	`jnl`	Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. CoRR Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed
2024	A	`conf`	CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs. WACV Junjie Shentu, Noura Al Moubayed
2024	J	`jnl`	Controllable Image Generation With Composed Parallel Token Prediction. CoRR Jamie Stirling, Noura Al Moubayed
2024	B	`conf`	Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. IJCNN Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon
2024	J	`jnl`	Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. CoRR Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon
2024	J	`jnl`	Everything is a Video: Unifying Modalities through Next-Frame Prediction. CoRR G. Thomas Hudson, Dean L. Slack, Thomas Winterbottom, Jamie Sterling, Chenghao Xiao, Junjie Shentu, Noura Al Moubayed
2024	J	`jnl`	Pixel Sentence Representation Learning. CoRR Chenghao Xiao, Zhuoxu Huang, Danlu Chen, G. Thomas Hudson, Yizhi Li, Haoran Duan, Chenghua Lin, Jie Fu, Jungong Han, Noura Al Moubayed
2024	J	`jnl`	RAR-b: Reasoning as Retrieval Benchmark. CoRR Chenghao Xiao, G. Thomas Hudson, Noura Al Moubayed
2024	—	`conf`	SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. ACL (Findings) Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin
2024	J	`jnl`	SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. CoRR Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin
2024	J	`jnl`	Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation. CoRR Junjie Shentu, Matthew Watson, Noura Al Moubayed
2024	J	`jnl`	The Power of Next-Frame Prediction for Learning Physical Laws. CoRR Thomas Winterbottom, G. Thomas Hudson, Daniel Kluvanec, Dean L. Slack, Jamie Sterling, Junjie Shentu, Chenghao Xiao, Zheming Zhou, Noura Al Moubayed
2023	B	`conf`	Addressing Performance Inconsistency in Domain Generalization for Image Classification. IJCNN Jamie Stirling, Noura Al Moubayed
2023	J	`jnl`	Audio Contrastive based Fine-tuning. CoRR Yang Wang, Qibin Liang, Chenghao Xiao, Yizhi Li, Noura Al Moubayed, Chenghua Lin
2023	—	`conf`	Can Text Encoders be Deceived by Length Attack? Tiny Papers @ ICLR Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed
2023	J	`jnl`	Corrections to "Negation Invariant Representations of 3-D Vectors for Deep Learning Models Applied to Fault Geometry Mapping in 3-D Seismic Reflection Data". IEEE Trans. Geosci. Remote. Sens. Daniel Kluvanec, Kenneth J. W. McCaffrey, Thomas B. Phillips, Noura Al Moubayed
2023	J	`jnl`	Deep Latent Variable Models for Semi-supervised Paraphrase Generation. CoRR Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2023	J	`jnl`	Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI Open Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2023	A	`conf`	Learning How to MIMIC: Using Model Explanations to Guide Deep Learning Training. WACV Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
2023	A*	`conf`	Length is a Curse and a Blessing for Document-level Semantics. EMNLP Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed
2023	J	`jnl`	Length is a Curse and a Blessing for Document-level Semantics. CoRR Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed
2023	B	`conf`	Natural Language Explanations for Machine Learning Classification Decisions. IJCNN James Burton, Noura Al Moubayed, Amir Enshaei
2023	J	`jnl`	Negation Invariant Representations of 3-D Vectors for Deep Learning Models Applied to Fault Geometry Mapping in 3-D Seismic Reflection Data. IEEE Trans. Geosci. Remote. Sens. Daniel Kluvanec, Kenneth J. W. McCaffrey, Thomas B. Phillips, Noura Al Moubayed
2023	—	`conf`	On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning. ACL (Findings) Chenghao Xiao, Yang Long, Noura Al Moubayed
2023	J	`jnl`	Racial Bias within Face Recognition: A Survey. CoRR Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
2022	J	`jnl`	ALADDIn: Autoencoder-LSTM-Based Anomaly Detector of Deformation in InSAR. IEEE Trans. Geosci. Remote. Sens. Anza Shakeel, Richard J. Walters, Susanna K. Ebmeier, Noura Al Moubayed
2022	A	`conf`	Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. WACV Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
2022	J	`jnl`	Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels. PeerJ Comput. Sci. Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
2022	B	`conf`	Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. IJCNN Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed
2022	B	`conf`	Does lossy image compression affect racial bias within face recognition? IJCB Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon
2022	J	`jnl`	Does lossy image compression affect racial bias within face recognition? CoRR Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon
2022	B	`conf`	Efficient Uncertainty Quantification for Multilabel Text Classification. IJCNN Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2022	B	`conf`	Generating Textual Explanations for Machine Learning Models Performance: A Table-to-Text Task. LREC Isaac Ampomah, James Burton, Amir Enshaei, Noura Al Moubayed
2022	B	`conf`	INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. IJCNN Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2022	J	`jnl`	INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. CoRR Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2022	—	`conf`	In-Materio Extreme Learning Machines. PPSN (1) Benedict A. H. Jones, Noura Al Moubayed, Dagou A. Zeze, Chris Groves
2022	B	`conf`	Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. IEEE Big Data Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi
2022	J	`jnl`	Knowing the Past to Predict the Future: Reinforcement Virtual Learning. CoRR Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long
2022	A	`conf`	Measuring Hidden Bias within Face Recognition via Racial Phenotypes. WACV Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
2022	B	`conf`	MuLD: The Multitask Long Document Benchmark. LREC George Thomas Hudson, Noura Al Moubayed
2022	J	`jnl`	MuLD: The Multitask Long Document Benchmark. CoRR G. Thomas Hudson, Noura Al Moubayed
2022	J	`jnl`	On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning. CoRR Chenghao Xiao, Yang Long, Noura Al Moubayed
2022	—	`conf`	Towards Graph Representation Learning Based Surgical Workflow Anticipation. BHI Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum
2022	J	`jnl`	Towards Graph Representation Learning Based Surgical Workflow Anticipation. CoRR Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum
2022	J	`jnl`	Towards Intelligently Designed Evolvable Processors. Evol. Comput. Benedict A. H. Jones, John L. P. Chouard, Bianca C. C. Branco, Eléonore Vissol-Gaudin, Christopher Pearson, Michael C. Petty, Noura Al Moubayed, Dagou A. Zeze, Chris Groves
2022	—	`conf`	Using Orientation to Distinguish Overlapping Chromosomes. ICANN (1) Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey, Noura Al Moubayed
2022	J	`jnl`	Using Orientation to Distinguish Overlapping Chromosomes. CoRR Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey, Noura Al Moubayed
2021	B	`conf`	A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. IJCNN Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Noura Al Moubayed
2021	J	`jnl`	Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. CoRR Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
2021	J	`jnl`	Ask me in your own words: paraphrasing for multitask question answering. PeerJ Comput. Sci. G. Thomas Hudson, Noura Al Moubayed
2021	J	`jnl`	Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. CoRR Matthew Watson, Noura Al Moubayed
2021	J	`jnl`	Curvature-based Feature Selection with Application in Classifying Electronic Health Records. CoRR Zheming Zuo, Jie Li, Noura Al Moubayed
2021	—	`conf`	Enhanced methods for Evolution in-Materio Processors. ICRC Benedict A. H. Jones, Noura Al Moubayed, Dagou A. Zeze, Chris Groves
2021	—	`conf`	ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. ICANN (5) Amit Gajbhiye, Noura Al Moubayed, Steven Bradley
2021	J	`jnl`	ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. CoRR Amit Gajbhiye, Noura Al Moubayed, Steven Bradley
2021	J	`jnl`	Measuring Hidden Bias within Face Recognition via Racial Phenotypes. CoRR Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
2021	J	`jnl`	Shock filter coupled with a high-order PDE for additive noise removal and image quality enhancement. Array Thierry Simon, Colince Welba, Pascal Eloundou Ntsama, Noura Al Moubayed
2021	J	`jnl`	Towards Equal Gender Representation in the Annotations of Toxic Language Detection. CoRR Elizabeth Excell, Noura Al Moubayed
2020	B	`conf`	Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. ICPR Matthew Watson, Noura Al Moubayed
2020	J	`jnl`	Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling. PeerJ Comput. Sci. Noura Al Moubayed, Andrew Stephen McGough, Bashar Awwad Shiekh Hasan
2020	—	`conf`	Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models. ICANN (1) Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley
2020	J	`jnl`	Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models. CoRR Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley
2020	—	`conf`	Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CVPR Workshops Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
2020	J	`jnl`	Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CoRR Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
2020	A	`conf`	On Modality Bias in the TVQA Dataset. BMVC Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
2020	J	`jnl`	On Modality Bias in the TVQA Dataset. CoRR Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
2020	A*	`conf`	On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract). AAAI Dean L. Slack, Mariann Hardey, Noura Al Moubayed
2020	J	`jnl`	Trying Bilinear Pooling in Video-QA. CoRR Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
2019	—	`conf`	Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction. ICANN (Workshop) Zakhriya Alhassan, David Budgen, Ali Alessa, Riyad Alshammari, Tahani Daghstani, Noura Al Moubayed
2019	B	`conf`	Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. IJCNN Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2019	A*	`conf`	Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. ICRA Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2018	—	`conf`	An Exploration of Dropout with RNNs for Natural Language Inference. ICANN (3) Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
2018	J	`jnl`	An Exploration of Dropout with RNNs for Natural Language Inference. CoRR Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
2018	—	`conf`	CAM: A Combined Attention Model for Natural Language Inference. IEEE BigData Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, Steven Bradley, A. Stephen McGough
2018	B	`conf`	Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers. CEC Eléonore Vissol-Gaudin, Apostolos Kotsialos, Chris Groves, Christopher Pearson, Dagou A. Zeze, Michael C. Petty, Noura Al Moubayed
2018	B	`conf`	On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. SMC Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2018	J	`jnl`	On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. CoRR Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2018	C	`conf`	Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data. ICMLA Zakhriya Alhassan, David Budgen, Riyad Alshammari, Tahani Daghstani, A. Stephen McGough, Noura Al Moubayed
2018	—	`conf`	Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models. ICANN (3) Zakhriya Alhassan, A. Stephen McGough, Riyad Alshammari, Tahani Daghstani, David Budgen, Noura Al Moubayed
2018	—	`conf`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. IGSC A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2018	J	`jnl`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. CoRR A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2018	J	`jnl`	Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. CoRR Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
2017	B	`conf`	Enhanced detection of movement onset in EEG through deep oversampling. IJCNN Noura Al Moubayed, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough
2017	—	`conf`	Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine. HCI (22) Noura Al Moubayed, David Wall, A. Stephen McGough
2017	—	`conf`	Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems. ICPE Companion A. Stephen McGough, Noura Al Moubayed, Matthew Forshaw
2016	—	`conf`	SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. ICANN (2) Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
2016	J	`jnl`	SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. CoRR Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
2014	A*	`conf`	Face-Based Automatic Personality Perception. ACM Multimedia Noura Al Moubayed, Yolanda Vazquez-Alvarez, Alex McKay, Alessandro Vinciarelli
2014	—	`—`	Multi-objective particle swarm optimisation : methods and applications. Noura Al Moubayed
2013	C	`conf`	Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. IDEAL Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2012	B	`conf`	Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall
2012	B	`conf`	D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. EvoCOP Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2011	—	`conf`	Clustering based leaders' selection in multi-objective evolutionary algorithms. GECCO (Companion) Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2011	C	`conf`	Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. IDEAL Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2011	—	`conf`	Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. MCDM Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2010	—	`conf`	A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. PPSN (2) Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
2009	—	`conf`	Signal Generation for Search-Based Testing of Continuous Systems. ICST Workshops Andreas Windisch, Noura Al Moubayed
2009	—	`conf`	Temporal White-Box Testing Using Evolutionary Algorithms. ICST Workshops Noura Al Moubayed, Andreas Windisch