Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Paul Temple is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Active
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SmartTune - Robust and SustainableHyper-parameter Optimisation for Deep Learning
Gratia, A., Perrouin, G., SCHOBBENS, P., Temple, P., Tuci, E. & Acher, M.
1/07/21 → 28/06/25
Project: PHD
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VeriLearn: Verifying Learning Artificial Intelligence Systems
HEYMANS, P., Frénay, B., SCHOBBENS, P., Temple, P., Nanfack, G., Amrani, M. & Bibal, A.
1/01/18 → 31/12/22
Project: Research
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Constraint Enforcement on Decision Trees: a Survey
Nanfack, G., Temple, P. & Frénay, B., 6 Jan 2022, In: ACM Computing Surveys. 34 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Take on Obfuscation with Ethical Adversaries
Delobelle, P., Temple, P., Perrouin, G., Frénay, B., Heymans, P. & Berendt, B., 2021.Research output: Contribution to conference › Paper › peer-review
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Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Delobelle, P., Temple, P., Perrouin, G., Frénay, B., Heymans, P. & Berendt, B., 27 May 2021, In: SIGKDD Explorations. 23, 1, p. 32-41Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Global Explanations with Decision Rules: a Co-learning Approach
Nanfack, G., Temple, P. & Frénay, B., 27 Jul 2021, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence. de Campos, C. & Maathuis, M. H. (eds.). MLResearch Press, p. 589-599 11 p. (Proceedings of Machine Learning Research ; vol. 161).Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open AccessFile20 Downloads (Pure) -
VaryMinions: Leveraging RNNs to Identify Variants in Event Logs
Fortz, S., Temple, P., DEVROEY, X., HEYMANS, P. & PERROUIN, GILLES., 2021, 5th International Workshop on Machine Learning Techniques for Software Quality Evolution. ACM PressResearch output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open AccessFile74 Downloads (Pure)
Activities
- 6 Oral presentation
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About Adversarial Configurations for SPLs
Paul Temple (Speaker)
16 Dec 2020Activity: Talk or presentation types › Oral presentation
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Machine learning and configurable systems: a gentle introduction
Paul Temple (Speaker)
19 Oct 2020 → 23 Oct 2020Activity: Talk or presentation types › Oral presentation
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Empirical Assessment of Multimorphic Testing
Paul Temple (Speaker)
24 Jun 2020 → 16 Jul 2020Activity: Talk or presentation types › Oral presentation
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Machine learning and configurable systems: a gentle introduction
Paul Temple (Speaker)
9 Sep 2019 → 13 Sep 2019Activity: Talk or presentation types › Oral presentation
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Using machine learning to infer constraints for product lines
Paul Temple (Speaker)
11 Oct 2017Activity: Talk or presentation types › Oral presentation