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Paul Temple
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Using machine learning to infer constraints for product lines
P Temple, JA Galindo, M Acher, JM Jézéquel
Proceedings of the 20th International Systems and Software Product Line …, 2016
642016
Learning contextual-variability models
P Temple, M Acher, JM Jézéquel, O Barais
IEEE Software 34 (6), 64-70, 2017
232017
Ethical adversaries: Towards mitigating unfairness with adversarial machine learning
P Delobelle, P Temple, G Perrouin, B Frénay, P Heymans, B Berendt
ACM SIGKDD Explorations Newsletter 23 (1), 32-41, 2021
192021
Towards learning-aided configuration in 3D printing: Feasibility study and application to defect prediction
B Amand, M Cordy, P Heymans, M Acher, P Temple, JM Jézéquel
Proceedings of the 13th International Workshop on Variability Modelling of …, 2019
162019
Varylatex: Learning paper variants that meet constraints
M Acher, P Temple, JM Jézéquel, JA Galindo, J Martinez, T Ziadi
Proceedings of the 12th International Workshop on Variability Modelling of …, 2018
152018
Learning-based performance specialization of configurable systems
P Temple, M Acher, JM Jézéquel, L Noel-Baron, J Galindo
IRISA, Inria Rennes; University of Rennes 1, 2017
122017
Towards quality assurance of software product lines with adversarial configurations
P Temple, M Acher, G Perrouin, B Biggio, JM Jézéquel, F Roli
Proceedings of the 23rd International Systems and Software Product Line …, 2019
82019
Towards estimating and predicting user perception on software product variants
J Martinez, JS Sottet, AG Frey, TF Bissyandé, T Ziadi, J Klein, P Temple, ...
International Conference on Software Reuse, 23-40, 2018
52018
Towards adversarial configurations for software product lines
P Temple, M Acher, B Biggio, JM Jézéquel, F Roli
arXiv preprint arXiv:1805.12021, 2018
42018
Machine learning and configurable systems: a gentle introduction
JA Pereira, H Martin, P Temple, M Acher
Proceedings of the 24th ACM Conference on Systems and Software Product Line …, 2020
32020
Empirical assessment of multimorphic testing
P Temple, M Acher, JM Jézéquel
IEEE Transactions on Software Engineering 47 (7), 1511-1527, 2019
32019
Poster: Multimorphic Testing
P Temple, M Acher, JM Jézéquel
2018 IEEE/ACM 40th International Conference on Software Engineering …, 2018
32018
Global explanations with decision rules: a co-learning approach
G Nanfack, P Temple, B Frénay
Uncertainty in Artificial Intelligence, 589-599, 2021
22021
VaryMinions: leveraging RNNs to identify variants in event logs
S Fortz, P Temple, X Devroey, P Heymans, G Perrouin
Proceedings of the 5th International Workshop on Machine Learning Techniques …, 2021
22021
Empirical assessment of generating adversarial configurations for software product lines
P Temple, G Perrouin, M Acher, B Biggio, JM Jézéquel, F Roli
Empirical Software Engineering 26 (1), 1-49, 2021
22021
A Take on Obfuscation with Ethical Adversaries
P Delobelle, P Temple, G Perrouin, B Frénay, P Heymans, B Berendt
3rd Workshop on obfuscation, Date: 2021/05/07-2021/05/14, Location: Online, 2021
12021
Machine Learning and Configurable Systems: A Gentle Introduction
H Martin, JA Pereira, M Acher, P Temple
Proceedings of the 23rd International Systems and Software Product Line …, 2019
12019
Constraint Enforcement on Decision Trees: a Survey
G Nanfack, P Temple, B Frénay
ACM Computing Surveys (CSUR), 2022
2022
Towards Generalizable Machine Learning for Chest X-ray Diagnosis with Multi-task learning
S Ghamizi, B Garcia Santa Cruz, P Temple, M Cordy, G Perrouin, ...
2022
Customizing Adversarial Machine Learning to Test Deep Learning Techniques
P Temple, G Perrouin, B Frénay, PY Schobbens
1st Workshop on Deep Learning<=> Testing, 2019
2019
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