Noura Al Moubayed
Orcid: 0000-0001-8942-355X
According to our database1,
Noura Al Moubayed
authored at least 80 papers
between 2009 and 2024.
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Bibliography
2024
CoRR, 2024
CoRR, 2024
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization.
CoRR, 2024
Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation.
CoRR, 2024
CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.
AI Open, January, 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".
IEEE Trans. Geosci. Remote. Sens., 2023
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., 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Addressing Performance Inconsistency in Domain Generalization for Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels.
PeerJ Comput. Sci., 2022
On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning.
CoRR, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Generating Textual Explanations for Machine Learning Models Performance: A Table-to-Text Task.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE International Joint Conference on Biometrics, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
PeerJ Comput. Sci., 2021
CoRR, 2021
Curvature-based Feature Selection with Application in Classifying Electronic Health Records.
CoRR, 2021
Shock filter coupled with a high-order PDE for additive noise removal and image quality enhancement.
Array, 2021
A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 2021 International Conference on Rebooting Computing (ICRC), Los Alamitos, CA, USA, November 30, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling.
PeerJ Comput. Sci., 2020
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
2018
On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments.
Proceedings of the Ninth International Green and Sustainable Computing Conference, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems.
Proceedings of the Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine.
Proceedings of the Human Aspects of Information Security, Privacy and Trust, 2017
2016
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
2014
PhD thesis, 2014
<i>D<sup>2</sup>MOPSO</i>: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces.
Evol. Comput., 2014
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
2013
Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
2012
D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2012
Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, 2011
2010
Proceedings of the Parallel Problem Solving from Nature, 2010
2009
Proceedings of the Second International Conference on Software Testing Verification and Validation, 2009
Proceedings of the Second International Conference on Software Testing Verification and Validation, 2009