Temporal White-Box Testing Using Evolutionary Algorithms. - Noura Al Moubayed; Andreas Windisch (ICST Workshops, 2009)

Signal Generation for Search-Based Testing of Continuous Systems. - Andreas Windisch; Noura Al Moubayed (ICST Workshops, 2009)

A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (PPSN (2), 2010)

Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (MCDM, 2011)

Clustering based leaders' selection in multi-objective evolutionary algorithms. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (GECCO (Companion), 2011)

Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (IDEAL, 2011)

Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. - Noura Al Moubayed; Bashar Awwad Shiekh Hasan; John Q. Gan; Andrei Petrovski 001; John A. W. McCall (IEEE Congress on Evolutionary Computation, 2012)

D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (EvoCOP, 2012)

Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (IDEAL, 2013)

Face-Based Automatic Personality Perception. - Noura Al Moubayed; Yolanda Vazquez-Alvarez; Alex McKay; Alessandro Vinciarelli (ACM Multimedia, 2014)

D2MOPSO: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (Evol. Comput., 2014)

Multi-objective particle swarm optimisation : methods and applications. - Noura Al Moubayed (2014)

SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. - Noura Al Moubayed; Toby P. Breckon; Peter Matthews; A. Stephen McGough (ICANN (2), 2016)

Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine. - Noura Al Moubayed; David Wall; A. Stephen McGough (HCI (22), 2017)

Enhanced detection of movement onset in EEG through deep oversampling. - Noura Al Moubayed; Bashar Awwad Shiekh Hasan; Andrew Stephen McGough (IJCNN, 2017)

Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems. - A. Stephen McGough; Noura Al Moubayed; Matthew Forshaw (ICPE Companion, 2017)

CAM: A Combined Attention Model for Natural Language Inference. - Amit Gajbhiye; Sardar F. Jaf; Noura Al Moubayed; Steven Bradley; A. Stephen McGough (IEEE BigData, 2018)

Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers. - Eléonore Vissol-Gaudin; Apostolos Kotsialos; Chris Groves 001; Christopher Pearson; Dagou A. Zeze; Michael C. Petty; Noura Al Moubayed (CEC, 2018)

Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. - A. Stephen McGough; Matthew Forshaw; John Brennan; Noura Al Moubayed; Stephen Bonner (IGSC, 2018)

Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models. - Zakhriya Alhassan; A. Stephen McGough; Riyad Alshammari; Tahani Daghstani; David Budgen; Noura Al Moubayed (ICANN (3), 2018)

An Exploration of Dropout with RNNs for Natural Language Inference. - Amit Gajbhiye; Sardar F. Jaf; Noura Al Moubayed; A. Stephen McGough; Steven Bradley (ICANN (3), 2018)

Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data. - Zakhriya Alhassan; David Budgen; Riyad Alshammari; Tahani Daghstani; A. Stephen McGough; Noura Al Moubayed (ICMLA, 2018)

On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. - Nik Khadijah Nik Aznan; Stephen Bonner; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (SMC, 2018)

Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction. - Zakhriya Alhassan; David Budgen; Ali Alessa; Riyad Alshammari; Tahani Daghstani; Noura Al Moubayed (ICANN (Workshop), 2019)

Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. - Nik Khadijah Nik Aznan; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (ICRA, 2019)

Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. - Nik Khadijah Nik Aznan; Amir Atapour Abarghouei; Stephen Bonner; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (IJCNN, 2019)

On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract). - Dean L. Slack; Mariann Hardey; Noura Al Moubayed (AAAI, 2020)

On Modality Bias in the TVQA Dataset. - Thomas Winterbottom; Sarah Xiao; Alistair McLean; Noura Al Moubayed (BMVC, 2020)

Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. - Seyma Yucer; Samet Akçay; Noura Al Moubayed; Toby P. Breckon (CVPR Workshops, 2020)

Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models. - Amit Gajbhiye; Thomas Winterbottom; Noura Al Moubayed; Steven Bradley (ICANN (1), 2020)

Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. - Matthew Watson 001; Noura Al Moubayed (ICPR, 2020)

Trying Bilinear Pooling in Video-QA. - Thomas Winterbottom; Sarah Xiao; Alistair McLean; Noura Al Moubayed (CoRR, 2020)

Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling. - Noura Al Moubayed; Andrew Stephen McGough; Bashar Awwad Shiekh Hasan (PeerJ Comput. Sci., 2020)

ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. - Amit Gajbhiye; Noura Al Moubayed; Steven Bradley (ICANN (5), 2021)

Enhanced methods for Evolution in-Materio Processors. - Benedict A. H. Jones; Noura Al Moubayed; Dagou A. Zeze; Chris Groves 001 (ICRC, 2021)

A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. - Zhongtian Sun; Anoushka Harit; Jialin Yu; Alexandra I. Cristea; Noura Al Moubayed (IJCNN, 2021)

Shock filter coupled with a high-order PDE for additive noise removal and image quality enhancement. - Thierry Simon; Colince Welba; Pascal Eloundou Ntsama; Noura Al Moubayed (Array, 2021)

Curvature-based Feature Selection with Application in Classifying Electronic Health Records. - Zheming Zuo; Jie Li 021; Noura Al Moubayed (CoRR, 2021)

Towards Equal Gender Representation in the Annotations of Toxic Language Detection. - Elizabeth Excell; Noura Al Moubayed (CoRR, 2021)

Ask me in your own words: paraphrasing for multitask question answering. - G. Thomas Hudson; Noura Al Moubayed (PeerJ Comput. Sci., 2021)

Towards Graph Representation Learning Based Surgical Workflow Anticipation. - Xiatian Zhang 001; Noura Al Moubayed; Hubert P. H. Shum (BHI, 2022)

Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jialin Yu; Noura Al Moubayed; Lei Shi 003 (IEEE Big Data, 2022)

Using Orientation to Distinguish Overlapping Chromosomes. - Daniel Kluvanec; Thomas B. Phillips; Kenneth J. W. McCaffrey; Noura Al Moubayed (ICANN (1), 2022)

Does lossy image compression affect racial bias within face recognition? - Seyma Yucer; Matt Poyser; Noura Al Moubayed; Toby P. Breckon (IJCB, 2022)

Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jialin Yu; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

Efficient Uncertainty Quantification for Multilabel Text Classification. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

Generating Textual Explanations for Machine Learning Models Performance: A Table-to-Text Task. - Isaac Ampomah; James Burton 002; Amir Enshaei; Noura Al Moubayed (LREC, 2022)

MuLD: The Multitask Long Document Benchmark. - George Thomas Hudson; Noura Al Moubayed (LREC, 2022)

In-Materio Extreme Learning Machines. - Benedict A. H. Jones; Noura Al Moubayed; Dagou A. Zeze; Chris Groves 001 (PPSN (1), 2022)

Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. - Matthew Watson 001; Bashar Awwad Shiekh Hasan; Noura Al Moubayed (WACV, 2022)

Measuring Hidden Bias within Face Recognition via Racial Phenotypes. - Seyma Yucer; Furkan Tektas; Noura Al Moubayed; Toby P. Breckon (WACV, 2022)

Knowing the Past to Predict the Future: Reinforcement Virtual Learning. - Peng Zhang 058; Yawen Huang; Bingzhang Hu; Shizheng Wang; Haoran Duan 001; Noura Al Moubayed; Yefeng Zheng 001; Yang Long 001 (CoRR, 2022)

On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning. - Chenghao Xiao; Yang Long 001; Noura Al Moubayed (CoRR, 2022)

Towards Intelligently Designed Evolvable Processors. - 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 001 (Evol. Comput., 2022)

Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels. - Thomas Winterbottom; Sarah Xiao; Alistair McLean; Noura Al Moubayed (PeerJ Comput. Sci., 2022)

ALADDIn: Autoencoder-LSTM-Based Anomaly Detector of Deformation in InSAR. - Anza Shakeel; Richard J. Walters; Susanna K. Ebmeier; Noura Al Moubayed (IEEE Trans. Geosci. Remote. Sens., 2022)

On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning. - Chenghao Xiao; Yang Long 001; Noura Al Moubayed (ACL (Findings), 2023)

Length is a Curse and a Blessing for Document-level Semantics. - Chenghao Xiao; Yizhi Li; G. Thomas Hudson; Chenghua Lin; Noura Al Moubayed (EMNLP, 2023)

Can Text Encoders be Deceived by Length Attack? - Chenghao Xiao; Zihuiwen Ye; G. Thomas Hudson; Zhongtian Sun; Phil Blunsom; Noura Al Moubayed (Tiny Papers @ ICLR, 2023)

Natural Language Explanations for Machine Learning Classification Decisions. - James Burton 002; Noura Al Moubayed; Amir Enshaei (IJCNN, 2023)

Addressing Performance Inconsistency in Domain Generalization for Image Classification. - Jamie Stirling; Noura Al Moubayed (IJCNN, 2023)

Learning How to MIMIC: Using Model Explanations to Guide Deep Learning Training. - Matthew Watson 001; Bashar Awwad Shiekh Hasan; Noura Al Moubayed (WACV, 2023)

Deep Latent Variable Models for Semi-supervised Paraphrase Generation. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (CoRR, 2023)

Audio Contrastive based Fine-tuning. - Yang Wang; Qibin Liang; Chenghao Xiao; Yizhi Li; Noura Al Moubayed; Chenghua Lin (CoRR, 2023)

Negation Invariant Representations of 3-D Vectors for Deep Learning Models Applied to Fault Geometry Mapping in 3-D Seismic Reflection Data. - Daniel Kluvanec; Kenneth J. W. McCaffrey; Thomas B. Phillips; Noura Al Moubayed (IEEE Trans. Geosci. Remote. Sens., 2023)

Corrections to "Negation Invariant Representations of 3-D Vectors for Deep Learning Models Applied to Fault Geometry Mapping in 3-D Seismic Reflection Data". - Daniel Kluvanec; Kenneth J. W. McCaffrey; Thomas B. Phillips; Noura Al Moubayed (IEEE Trans. Geosci. Remote. Sens., 2023)

Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (AI Open, 2023)

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. - Siwei Wu; Yizhi Li; Kang Zhu; Ge Zhang 009; Yiming Liang; Kaijing Ma; Chenghao Xiao; Haoran Zhang; Bohao Yang; Wenhu Chen; Wenhao Huang 001; Noura Al Moubayed; et al. (ACL (Findings), 2024)

Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. - Seyma Yucer; Amir Atapour Abarghouei; Noura Al Moubayed; Toby P. Breckon (IJCNN, 2024)

Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. - Anoushka Harit; Zhongtian Sun; Jongmin Yu; Noura Al Moubayed (NLP4KGC@SEMANTiCS, 2024)

CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs. - Junjie Shentu; Noura Al Moubayed (WACV, 2024)

Pixel Sentence Representation Learning. - Chenghao Xiao; Zhuoxu Huang; Danlu Chen; G. Thomas Hudson; Yizhi Li; Haoran Duan 001; Chenghua Lin; Jie Fu; Jungong Han; Noura Al Moubayed (CoRR, 2024)

Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation. - Junjie Shentu; Matthew Watson 001; Noura Al Moubayed (CoRR, 2024)

RAR-b: Reasoning as Retrieval Benchmark. - Chenghao Xiao; G. Thomas Hudson; Noura Al Moubayed (CoRR, 2024)

Controllable Image Generation With Composed Parallel Token Prediction. - Jamie Stirling; Noura Al Moubayed (CoRR, 2024)

The Power of Next-Frame Prediction for Learning Physical Laws. - Thomas Winterbottom; G. Thomas Hudson; Daniel Kluvanec; Dean L. Slack; Jamie Sterling; Junjie Shentu; Chenghao Xiao; Zheming Zhou; Noura Al Moubayed (CoRR, 2024)

AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization. - Junjie Shentu; Matthew Watson 001; Noura Al Moubayed (CoRR, 2024)

Everything is a Video: Unifying Modalities through Next-Frame Prediction. - G. Thomas Hudson; Dean L. Slack; Thomas Winterbottom; Jamie Sterling; Chenghao Xiao; Junjie Shentu; Noura Al Moubayed (CoRR, 2024)

Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations. - Chenghao Xiao; Hou Pong Chan; Hao Zhang 048; Mahani Aljunied; Lidong Bing; Noura Al Moubayed; Yu Rong (ACL (1), 2025)

Sparse Autoencoders Do Not Find Canonical Units of Analysis. - Patrick Leask; Bart Bussmann; Michael T. Pearce; Joseph Isaac Bloom; Curt Tigges; Noura Al Moubayed; Lee Sharkey; Neel Nanda (ICLR, 2025)

MIEB: Massive Image Embedding Benchmark. - Chenghao Xiao; Isaac Chung; Imene Kerboua; Jamie Stirling; Xin Zhang; Márton Kardos; Roman Solomatin; Noura Al Moubayed; Kenneth C. Enevoldsen; Niklas Muennighoff (CoRR, 2025)

Racial Bias within Face Recognition: A Survey. - Seyma Yucer; Furkan Tektas; Noura Al Moubayed; Toby P. Breckon (ACM Comput. Surv., 2025)

Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models. - Patrick Leask; Neel Nanda; Noura Al Moubayed (CoRR, 2025)

Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal. - Yang Wang; Chenghao Xiao; Yizhi Li; Stuart E. Middleton; Noura Al Moubayed; Chenghua Lin (CoRR, 2025)