Noura Al Moubayed

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 78

Top Venues

CoRR

IJCNN

IEEE Trans. Geosci. Remote. Sens.

PeerJ Comput. Sci.

Robert Gordon University, UK (PHD)

Education History

Robert Gordon University, UK

PHD

Publications

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
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. CoRR (2024)
Chenghao Xiao, Zhuoxu Huang, Danlu Chen, G. Thomas Hudson, Yizhi Li, Haoran Duan, Chenghua Lin, Jie Fu, Jungong Han, Noura Al Moubayed
Pixel Sentence Representation Learning. CoRR (2024)
Junjie Shentu, Matthew Watson, Noura Al Moubayed
Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation. CoRR (2024)
Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
Deep Latent Variable Models for Semi-supervised Paraphrase Generation. CoRR (2023)
Daniel Kluvanec, Kenneth J. W. McCaffrey, Thomas B. Phillips, Noura Al Moubayed
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. 61 (2023)
Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed
Can Text Encoders be Deceived by Length Attack? Tiny Papers @ ICLR (2023)
Daniel Kluvanec, Kenneth J. W. McCaffrey, Thomas B. Phillips, Noura Al Moubayed
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. 61 (2023)
James Burton, Noura Al Moubayed, Amir Enshaei
Natural Language Explanations for Machine Learning Classification Decisions. IJCNN (2023)
Yang Wang, Qibin Liang, Chenghao Xiao, Yizhi Li, Noura Al Moubayed, Chenghua Lin
Audio Contrastive based Fine-tuning. CoRR (2023)
Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
Racial Bias within Face Recognition: A Survey. CoRR (2023)
Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed
Length is a Curse and a Blessing for Document-level Semantics. CoRR (2023)
Chenghao Xiao, Yang Long, Noura Al Moubayed
On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning. ACL (Findings) (2023)
Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed
Length is a Curse and a Blessing for Document-level Semantics. EMNLP (2023)
Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI Open 4 (2023)
Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
Learning How to MIMIC: Using Model Explanations to Guide Deep Learning Training. WACV (2023)
Jamie Stirling, Noura Al Moubayed
Addressing Performance Inconsistency in Domain Generalization for Image Classification. IJCNN (2023)
Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum
Towards Graph Representation Learning Based Surgical Workflow Anticipation. BHI (2022)
Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon
Does lossy image compression affect racial bias within face recognition? CoRR (2022)
Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. WACV (2022)
Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi
Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. Big Data (2022)
Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey, Noura Al Moubayed
Using Orientation to Distinguish Overlapping Chromosomes. ICANN (1) (2022)
Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. IJCNN (2022)
Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon
Does lossy image compression affect racial bias within face recognition? IJCB (2022)
Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. WACV (2022)
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
Towards Intelligently Designed Evolvable Processors. Evol. Comput. 30 (4) (2022)
George Thomas Hudson, Noura Al Moubayed
MuLD: The Multitask Long Document Benchmark. LREC (2022)
Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. CoRR (2022)
Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum
Towards Graph Representation Learning Based Surgical Workflow Anticipation. CoRR (2022)
Anza Shakeel, Richard J. Walters, Susanna K. Ebmeier, Noura Al Moubayed
ALADDIn: Autoencoder-LSTM-Based Anomaly Detector of Deformation in InSAR. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Benedict. A. H. Jones, Noura Al Moubayed, Dagou A. Zeze, Chris Groves
In-Materio Extreme Learning Machines. PPSN (1) (2022)
Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey, Noura Al Moubayed
Using Orientation to Distinguish Overlapping Chromosomes. CoRR (2022)
Chenghao Xiao, Yang Long, Noura Al Moubayed
On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning. CoRR (2022)
Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. IJCNN (2022)
Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels. PeerJ Comput. Sci. 8 (2022)
Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long
Knowing the Past to Predict the Future: Reinforcement Virtual Learning. CoRR (2022)
Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
Efficient Uncertainty Quantification for Multilabel Text Classification. IJCNN (2022)
G. Thomas Hudson, Noura Al Moubayed
MuLD: The Multitask Long Document Benchmark. CoRR (2022)
Isaac Ampomah, James Burton, Amir Enshaei, Noura Al Moubayed
Generating Textual Explanations for Machine Learning Models Performance: A Table-to-Text Task. LREC (2022)
Amit Gajbhiye, Noura Al Moubayed, Steven Bradley
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. CoRR (2021)
Amit Gajbhiye, Noura Al Moubayed, Steven Bradley
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. ICANN (5) (2021)
G. Thomas Hudson, Noura Al Moubayed
Ask me in your own words: paraphrasing for multitask question answering. PeerJ Comput. Sci. 7 (2021)
Benedict. A. H. Jones, Noura Al Moubayed, Dagou A. Zeze, Chris Groves
Enhanced methods for Evolution in-Materio Processors. ICRC (2021)
Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. CoRR (2021)
Thierry Simon, Colince Welba, Pascal Eloundou Ntsama, Noura Al Moubayed
Shock filter coupled with a high-order PDE for additive noise removal and image quality enhancement. Array 12 (2021)
Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Noura Al Moubayed
A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. IJCNN (2021)
Matthew Watson, Noura Al Moubayed
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. CoRR (2021)
Zheming Zuo, Jie Li, Noura Al Moubayed
Curvature-based Feature Selection with Application in Classifying Electronic Health Records. CoRR (2021)
Elizabeth Excell, Noura Al Moubayed
Towards Equal Gender Representation in the Annotations of Toxic Language Detection. CoRR (2021)
Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. CoRR (2021)
Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
On Modality Bias in the TVQA Dataset. CoRR (2020)
Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models. CoRR (2020)
Noura Al Moubayed, Andrew Stephen McGough, Bashar Awwad Shiekh Hasan
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling. PeerJ Comput. Sci. 6 (2020)
Dean L. Slack, Mariann Hardey, Noura Al Moubayed
On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract). AAAI (2020)
Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models. ICANN (1) (2020)
Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CoRR (2020)
Matthew Watson, Noura Al Moubayed
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. ICPR (2020)
Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CVPR Workshops (2020)
Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
Trying Bilinear Pooling in Video-QA. CoRR (2020)
Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed
On Modality Bias in the TVQA Dataset. BMVC (2020)
Zakhriya Alhassan, David Budgen, Ali Alessa, Riyad Alshammari, Tahani Daghstani, Noura Al Moubayed
Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction. ICANN (Workshop) (2019)
Nik Khadijah Nik Aznan, Amir Atapour Abarghouei, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. IJCNN (2019)
Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. ICRA (2019)
A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. CoRR (2018)
A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. IGSC (2018)
Zakhriya Alhassan, David Budgen, Riyad Alshammari, Tahani Daghstani, A. Stephen McGough, Noura Al Moubayed
Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data. ICMLA (2018)
Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, Steven Bradley, A. Stephen McGough
CAM: A Combined Attention Model for Natural Language Inference. IEEE BigData (2018)
Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. CoRR (2018)
Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
An Exploration of Dropout with RNNs for Natural Language Inference. CoRR (2018)
Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. CoRR (2018)
Zakhriya Alhassan, A. Stephen McGough, Riyad Alshammari, Tahani Daghstani, David Budgen, Noura Al Moubayed
Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models. ICANN (3) (2018)
Nik Khadijah Nik Aznan, Stephen Bonner, Jason D. Connolly, Noura Al Moubayed, Toby P. Breckon
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. SMC (2018)
Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
An Exploration of Dropout with RNNs for Natural Language Inference. ICANN (3) (2018)
Eléonore Vissol-Gaudin, Apostolos Kotsialos, Chris Groves, C. Pearson, Dagou A. Zeze, Michael C. Petty, Noura Al Moubayed
Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers. CEC (2018)
Noura Al Moubayed, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough
Enhanced detection of movement onset in EEG through deep oversampling. IJCNN (2017)
A. Stephen McGough, Noura Al Moubayed, Matthew Forshaw
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems. ICPE Companion (2017)
Noura Al Moubayed, David Wall, A. Stephen McGough
Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine. HCI (22) (2017)
Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. CoRR (2016)
Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. ICANN (2) (2016)
Noura Al Moubayed, Yolanda Vazquez-Alvarez, Alex McKay, Alessandro Vinciarelli
Face-Based Automatic Personality Perception. ACM Multimedia (2014)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces. Evol. Comput. 22 (1) (2014)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. IDEAL (2013)
Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall
Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation (2012)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. EvoCOP (2012)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. MCDM (2011)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Clustering based leaders' selection in multi-objective evolutionary algorithms. GECCO (Companion) (2011)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. IDEAL (2011)
Noura Al Moubayed, Andrei Petrovski, John A. W. McCall
A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. PPSN (2) (2010)
Andreas Windisch, Noura Al Moubayed
Signal Generation for Search-Based Testing of Continuous Systems. ICST Workshops (2009)
Noura Al Moubayed, Andreas Windisch
Temporal White-Box Testing Using Evolutionary Algorithms. ICST Workshops (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Noura Al Moubayed