| 2026 | ACL | X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation. | Kun Zhao, Chenghao Xiao, Sixing Yan, Haoteng Tang, William K. Cheung, Noura Al Moubayed, Liang Zhan, Chenghua Lin |
| 2026 | ICPR | Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images. | Jamie Stirling, Noura Al Moubayed, Hubert P. H. Shum |
| 2025 | ACL | Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations. | Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Mieb: Massive Image Embedding Benchmark. | Chenghao Xiao, Isaac Chung, Imene Kerboua, Jamie Stirling, Xin Zhang, Mrton Kardos, Roman Solomatin, Noura Al Moubayed, Kenneth C. Enevoldsen, Niklas Muennighoff |
| 2025 | ICLR | 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 |
| 2025 | ICML | Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models. | Patrick Leask, Neel Nanda, Noura Al Moubayed |
| 2025 | MICCAI | DiDGen: Diffusion-Based Dual-Task Synthesis for Dermoscopic Data Generation. | Junjie Shentu, Matthew Watson, Noura Al Moubayed |
| 2024 | ACL | SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. | 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 | IJCNN | Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. | Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon |
| 2024 | WACV | 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 |
| 2023 | ACL | On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning. | Chenghao Xiao, Yang Long, Noura Al Moubayed |
| 2023 | EMNLP | Length is a Curse and a Blessing for Document-level Semantics. | Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed |
| 2023 | ICLR | Can Text Encoders be Deceived by Length Attack? | Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed |
| 2023 | IJCNN | Natural Language Explanations for Machine Learning Classification Decisions. | James Burton, Noura Al Moubayed, Amir Enshaei |
| 2023 | IJCNN | Addressing Performance Inconsistency in Domain Generalization for Image Classification. | Jamie Stirling, Noura Al Moubayed |
| 2023 | WACV | Learning How to MIMIC: Using Model Explanations to Guide Deep Learning Training. | Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed |
| 2022 | ICANN | Using Orientation to Distinguish Overlapping Chromosomes. | Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey, Noura Al Moubayed |
| 2022 | IJCNN | Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. | Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed |
| 2022 | IJCNN | INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. | Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed |
| 2022 | IJCNN | Efficient Uncertainty Quantification for Multilabel Text Classification. | Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed |
| 2022 | LREC | Generating Textual Explanations for Machine Learning Models Performance: A Table-to-Text Task. | Isaac Ampomah, James Burton, Amir Enshaei, Noura Al Moubayed |
| 2022 | LREC | MuLD: The Multitask Long Document Benchmark. | George Thomas Hudson, Noura Al Moubayed |
| 2022 | PPSN | In-Materio Extreme Learning Machines. | Benedict A. H. Jones, Noura Al Moubayed, Dagou A. Zeze, Chris Groves |
| 2022 | WACV | Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. | Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed |
| 2022 | WACV | Measuring Hidden Bias within Face Recognition via Racial Phenotypes. | Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon |
| 2021 | ICANN | ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. | Amit Gajbhiye, Noura Al Moubayed, Steven Bradley |
| 2021 | IJCNN | 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 |
| 2020 | AAAI | On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract). | Dean L. Slack, Mariann Hardey, Noura Al Moubayed |
| 2020 | BMVC | On Modality Bias in the TVQA Dataset. | Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed |
| 2020 | CVPR | Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. | Seyma Yucer, Samet Akay, Noura Al Moubayed, Toby P. Breckon |
| 2020 | ICANN | Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models. | Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley |
| 2020 | ICPR | Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. | Matthew Watson, Noura Al Moubayed |
| 2019 | ICANN | Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction. | Zakhriya Alhassan, David Budgen, Ali Alessa, Riyad Alshammari, Tahani Daghstani, Noura Al Moubayed |
| 2019 | IJCNN | 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 |
| 2019 | ICRA | 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 |
| 2018 | CEC | Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers. | Elonore Vissol-Gaudin, Apostolos Kotsialos, Chris Groves, Christopher Pearson, Dagou A. Zeze, Michael C. Petty, Noura Al Moubayed |
| 2018 | ICANN | 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 |
| 2018 | ICANN | An Exploration of Dropout with RNNs for Natural Language Inference. | Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley |
| 2018 | ICMLA | 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 |
| 2018 | SMC | 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 |
| 2017 | HCI | Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine. | Noura Al Moubayed, David Wall, A. Stephen McGough |
| 2017 | IJCNN | Enhanced detection of movement onset in EEG through deep oversampling. | Noura Al Moubayed, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough |
| 2016 | ICANN | SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. | Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough |
| 2013 | IDEAL | Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. | Noura Al Moubayed, Andrei Petrovski, John A. W. McCall |
| 2012 | CEC | Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. | Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall |
| 2011 | GECCO | Clustering based leaders' selection in multi-objective evolutionary algorithms. | Noura Al Moubayed, Andrei Petrovski, John A. W. McCall |
| 2011 | IDEAL | Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. | Noura Al Moubayed, Andrei Petrovski, John A. W. McCall |
| 2010 | PPSN | A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. | Noura Al Moubayed, Andrei Petrovski, John A. W. McCall |
| 2009 | ICST | Temporal White-Box Testing Using Evolutionary Algorithms. | Noura Al Moubayed, Andreas Windisch |
| 2009 | ICST | Signal Generation for Search-Based Testing of Continuous Systems. | Andreas Windisch, Noura Al Moubayed |