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2020 – today
- 2025
[j11]Seyma Yucer
, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Racial Bias within Face Recognition: A Survey. ACM Comput. Surv. 57(4): 105:1-105:39 (2025)- [i37]Patrick Leask, Bart Bussmann, Michael T. Pearce, Joseph Isaac Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda:
Sparse Autoencoders Do Not Find Canonical Units of Analysis. CoRR abs/2502.04878 (2025) - 2024
- [c54]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. ACL (Findings) 2024: 12560-12574 - [c53]Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon:
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. IJCNN 2024: 1-10 - [c52]Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed:
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. NLP4KGC@SEMANTiCS 2024: 54-69 - [c51]Junjie Shentu, Noura Al Moubayed:
CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs. WACV 2024: 5200-5209 - [i36]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 abs/2401.13478 (2024) - [i35]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 abs/2402.08183 (2024) - [i34]Junjie Shentu, Matthew Watson, Noura Al Moubayed:
Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation. CoRR abs/2402.09966 (2024) - [i33]Seyma Yucer, Amir Atapour Abarghouei, Noura Al Moubayed, Toby P. Breckon:
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics. CoRR abs/2403.19897 (2024) - [i32]Chenghao Xiao, G. Thomas Hudson, Noura Al Moubayed:
RAR-b: Reasoning as Retrieval Benchmark. CoRR abs/2404.06347 (2024) - [i31]Jamie Stirling, Noura Al Moubayed:
Controllable Image Generation With Composed Parallel Token Prediction. CoRR abs/2405.06535 (2024) - [i30]Thomas Winterbottom, G. Thomas Hudson, Daniel Kluvanec, Dean L. Slack, Jamie Sterling, Junjie Shentu, Chenghao Xiao, Zheming Zhou, Noura Al Moubayed:
The Power of Next-Frame Prediction for Learning Physical Laws. CoRR abs/2405.17450 (2024) - [i29]Junjie Shentu, Matthew Watson, Noura Al Moubayed:
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization. CoRR abs/2405.17965 (2024) - [i28]Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed:
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. CoRR abs/2409.00438 (2024) - [i27]G. Thomas Hudson, Dean L. Slack, Thomas Winterbottom, Jamie Sterling, Chenghao Xiao, Junjie Shentu, Noura Al Moubayed:
Everything is a Video: Unifying Modalities through Next-Frame Prediction. CoRR abs/2411.10503 (2024) - 2023
- [j10]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: 19-32 (2023) - [j9]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: 1-16 (2023) - [j8]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: 1 (2023) - [c50]Chenghao Xiao, Yang Long, Noura Al Moubayed:
On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning. ACL (Findings) 2023: 12266-12283 - [c49]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: 1385-1396 - [c48]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 - [c47]James Burton, Noura Al Moubayed, Amir Enshaei:
Natural Language Explanations for Machine Learning Classification Decisions. IJCNN 2023: 1-9 - [c46]Jamie Stirling, Noura Al Moubayed:
Addressing Performance Inconsistency in Domain Generalization for Image Classification. IJCNN 2023: 1-8 - [c45]Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed:
Learning How to MIMIC: Using Model Explanations to Guide Deep Learning Training. WACV 2023: 1461-1470 - [i26]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 abs/2301.02275 (2023) - [i25]Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Racial Bias within Face Recognition: A Survey. CoRR abs/2305.00817 (2023) - [i24]Yang Wang, Qibin Liang, Chenghao Xiao, Yizhi Li, Noura Al Moubayed, Chenghua Lin:
Audio Contrastive based Fine-tuning. CoRR abs/2309.11895 (2023) - [i23]Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed:
Length is a Curse and a Blessing for Document-level Semantics. CoRR abs/2310.16193 (2023) - 2022
- [j7]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): 479-501 (2022) - [j6]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: e974 (2022) - [j5]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: 1-12 (2022) - [c44]Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum:
Towards Graph Representation Learning Based Surgical Workflow Anticipation. BHI 2022: 1-4 - [c43]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. IEEE Big Data 2022: 5352-5360 - [c42]Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey, Noura Al Moubayed:
Using Orientation to Distinguish Overlapping Chromosomes. ICANN (1) 2022: 391-403 - [c41]Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon:
Does lossy image compression affect racial bias within face recognition? IJCB 2022: 1-10 - [c40]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: 1-6 - [c39]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: 1-8 - [c38]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: 1-8 - [c37]Isaac Ampomah, James Burton, Amir Enshaei, Noura Al Moubayed:
Generating Textual Explanations for Machine Learning Models Performance: A Table-to-Text Task. LREC 2022: 3542-3551 - [c36]George Thomas Hudson, Noura Al Moubayed:
MuLD: The Multitask Long Document Benchmark. LREC 2022: 3675-3685 - [c35]Benedict A. H. Jones, Noura Al Moubayed, Dagou A. Zeze, Chris Groves:
In-Materio Extreme Learning Machines. PPSN (1) 2022: 505-519 - [c34]Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed:
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. WACV 2022: 1524-1533 - [c33]Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. WACV 2022: 3202-3211 - [i22]G. Thomas Hudson, Noura Al Moubayed:
MuLD: The Multitask Long Document Benchmark. CoRR abs/2202.07362 (2022) - [i21]Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey, Noura Al Moubayed:
Using Orientation to Distinguish Overlapping Chromosomes. CoRR abs/2203.13004 (2022) - [i20]Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum:
Towards Graph Representation Learning Based Surgical Workflow Anticipation. CoRR abs/2208.03824 (2022) - [i19]Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon:
Does lossy image compression affect racial bias within face recognition? CoRR abs/2208.07613 (2022) - [i18]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 abs/2209.01061 (2022) - [i17]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 abs/2211.01266 (2022) - [i16]Chenghao Xiao, Yang Long, Noura Al Moubayed:
On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning. CoRR abs/2212.09170 (2022) - 2021
- [j4]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: 100105 (2021) - [j3]G. Thomas Hudson, Noura Al Moubayed:
Ask me in your own words: paraphrasing for multitask question answering. PeerJ Comput. Sci. 7: e759 (2021) - [c32]Amit Gajbhiye, Noura Al Moubayed, Steven Bradley:
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. ICANN (5) 2021: 460-472 - [c31]Benedict A. H. Jones, Noura Al Moubayed, Dagou A. Zeze, Chris Groves:
Enhanced methods for Evolution in-Materio Processors. ICRC 2021: 109-118 - [c30]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: 1-7 - [i15]Zheming Zuo, Jie Li, Noura Al Moubayed:
Curvature-based Feature Selection with Application in Classifying Electronic Health Records. CoRR abs/2101.03581 (2021) - [i14]Matthew Watson, Noura Al Moubayed:
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. CoRR abs/2105.01959 (2021) - [i13]Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed:
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. CoRR abs/2105.06791 (2021) - [i12]Elizabeth Excell, Noura Al Moubayed:
Towards Equal Gender Representation in the Annotations of Toxic Language Detection. CoRR abs/2106.02183 (2021) - [i11]Amit Gajbhiye, Noura Al Moubayed, Steven Bradley:
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. CoRR abs/2108.01589 (2021) - [i10]Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. CoRR abs/2110.09839 (2021) - 2020
- [j2]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: e252 (2020) - [c29]Dean L. Slack, Mariann Hardey, Noura Al Moubayed:
On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract). AAAI 2020: 13917-13918 - [c28]Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed:
On Modality Bias in the TVQA Dataset. BMVC 2020 - [c27]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: 83-92 - [c26]Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley:
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models. ICANN (1) 2020: 633-646 - [c25]Matthew Watson, Noura Al Moubayed:
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. ICPR 2020: 8180-8187 - [i9]Seyma Yucer, Samet Akçay, Noura Al Moubayed, Toby P. Breckon:
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation. CoRR abs/2004.08945 (2020) - [i8]Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley:
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models. CoRR abs/2010.11562 (2020) - [i7]Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed:
On Modality Bias in the TVQA Dataset. CoRR abs/2012.10210 (2020) - [i6]Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed:
Trying Bilinear Pooling in Video-QA. CoRR abs/2012.10285 (2020)
2010 – 2019
- 2019
- [c24]Zakhriya Alhassan, David Budgen, Ali Alessa, Riyad Alshammari, Tahani Daghstani, Noura Al Moubayed:
Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction. ICANN (Workshop) 2019: 338-350 - [c23]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: 4889-4895 - [c22]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: 1-8 - 2018
- [c21]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: 1009-1014 - [c20]Eléonore Vissol-Gaudin, Apostolos Kotsialos, Chris Groves, Christopher Pearson, Dagou A. Zeze, Michael C. Petty, Noura Al Moubayed:
Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers. CEC 2018: 1-8 - [c19]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: 1-8 - [c18]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: 157-167 - [c17]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: 468-478 - [c16]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: 541-546 - [c15]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: 3726-3731 - [i5]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 abs/1805.04157 (2018) - [i4]Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley:
An Exploration of Dropout with RNNs for Natural Language Inference. CoRR abs/1810.08606 (2018) - [i3]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 abs/1810.08675 (2018) - [i2]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 abs/1811.10280 (2018) - 2017
- [c14]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: 287-295 - [c13]Noura Al Moubayed, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough:
Enhanced detection of movement onset in EEG through deep oversampling. IJCNN 2017: 71-78 - [c12]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: 55-60 - 2016
- [c11]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: 423-430 - [i1]Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough:
SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. CoRR abs/1606.05554 (2016) - 2014
- [b1]Noura Al Moubayed:
Multi-objective particle swarm optimisation : methods and applications. Robert Gordon University, UK, 2014 - [j1]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
D2MOPSO: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces. Evol. Comput. 22(1): 47-77 (2014) - [c10]Noura Al Moubayed, Yolanda Vazquez-Alvarez, Alex McKay, Alessandro Vinciarelli:
Face-Based Automatic Personality Perception. ACM Multimedia 2014: 1153-1156 - 2013
- [c9]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. IDEAL 2013: 537-544 - 2012
- [c8]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: 1-7 - [c7]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. EvoCOP 2012: 75-86 - 2011
- [c6]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. MCDM 2011: 81-88 - [c5]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
Clustering based leaders' selection in multi-objective evolutionary algorithms. GECCO (Companion) 2011: 95-96 - [c4]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. IDEAL 2011: 100-107 - 2010
- [c3]Noura Al Moubayed, Andrei Petrovski, John A. W. McCall:
A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. PPSN (2) 2010: 1-10
2000 – 2009
- 2009
- [c2]Andreas Windisch, Noura Al Moubayed:
Signal Generation for Search-Based Testing of Continuous Systems. ICST Workshops 2009: 121-130 - [c1]Noura Al Moubayed, Andreas Windisch:
Temporal White-Box Testing Using Evolutionary Algorithms. ICST Workshops 2009: 150-151
Coauthor Index
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