Noura Al Moubayed

According to our database1, Noura Al Moubayed authored at least 72 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation.
CoRR, 2024

Pixel Sentence Representation Learning.
CoRR, 2024

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval.
CoRR, 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

Audio Contrastive based Fine-tuning.
CoRR, 2023

Racial Bias within Face Recognition: A Survey.
CoRR, 2023

Deep Latent Variable Models for Semi-supervised Paraphrase Generation.
CoRR, 2023

Learning How to MIMIC: Using Model Explanations to Guide Deep Learning Training.
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

Natural Language Explanations for Machine Learning Classification Decisions.
Proceedings of the International Joint Conference on Neural Networks, 2023

Can Text Encoders be Deceived by Length Attack?
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Length is a Curse and a Blessing for Document-level Semantics.
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
ALADDIn: Autoencoder-LSTM-Based Anomaly Detector of Deformation in InSAR.
IEEE Trans. Geosci. Remote. Sens., 2022

Bilinear pooling in video-QA: empirical challenges and motivational drift from neurological parallels.
PeerJ Comput. Sci., 2022

Towards Intelligently Designed Evolvable Processors.
Evol. Comput., 2022

On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning.
CoRR, 2022

Knowing the Past to Predict the Future: Reinforcement Virtual Learning.
CoRR, 2022

Measuring Hidden Bias within Face Recognition via Racial Phenotypes.
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

In-Materio Extreme Learning Machines.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

MuLD: The Multitask Long Document Benchmark.
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

Efficient Uncertainty Quantification for Multilabel Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations.
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

Does lossy image compression affect racial bias within face recognition?
Proceedings of the IEEE International Joint Conference on Biometrics, 2022

Using Orientation to Distinguish Overlapping Chromosomes.
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

Towards Graph Representation Learning Based Surgical Workflow Anticipation.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Ask me in your own words: paraphrasing for multitask question answering.
PeerJ Comput. Sci., 2021

Towards Equal Gender Representation in the Annotations of Toxic Language Detection.
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

Enhanced methods for Evolution in-Materio Processors.
Proceedings of the 2021 International Conference on Rebooting Computing (ICRC), Los Alamitos, CA, USA, November 30, 2021

ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference.
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

Trying Bilinear Pooling in Video-QA.
CoRR, 2020

Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models.
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

On Modality Bias in the TVQA Dataset.
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

Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction.
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

An Exploration of Dropout with RNNs for Natural Language Inference.
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

Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

CAM: A Combined Attention Model for Natural Language Inference.
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

Enhanced detection of movement onset in EEG through deep oversampling.
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
Multi-objective particle swarm optimisation : methods and applications.
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

Face-Based Automatic Personality Perception.
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
Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Clustering based leaders' selection in multi-objective evolutionary algorithms.
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
A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition.
Proceedings of the Parallel Problem Solving from Nature, 2010

2009
Signal Generation for Search-Based Testing of Continuous Systems.
Proceedings of the Second International Conference on Software Testing Verification and Validation, 2009

Temporal White-Box Testing Using Evolutionary Algorithms.
Proceedings of the Second International Conference on Software Testing Verification and Validation, 2009


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