Projects per year
Personal profile
Diplomas
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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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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VeriLearn: Verifying Learning Artificial Intelligence Systems
Heymans, P., Frénay, B., Schobbens, P. Y., Temple, P., Nanfack, G., Amrani, M. & Bibal, A.
1/01/18 → 31/12/22
Project: Research
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An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision
Stassin, S., Englebert, A., Albert, J., Nanfack, G., Versbraegen, N., Frénay, B., Peiffer, G., Doh, M., Riche, N. & De Vleeschouwer, C., 2023, In: Communications in Computer and Information Science.Research output: Contribution to journal › Article › peer-review
Open AccessFile39 Downloads (Pure) -
Decision trees: from efficient prediction to responsible AI
Blockeel, H., Devos, L., Frénay, B., Nanfack, G. & Nijssen, S., 2023, In: Frontiers in Artificial Intelligence. 6, 1124553.Research output: Contribution to journal › Review article › peer-review
Open AccessFile3 Downloads (Pure) -
Learning Customised Decision Trees for Domain-knowledge Constraints
Nanfack, G., Temple, P. & Frénay, B., Oct 2023, In: Pattern Recognition. 142, 109610.Research output: Contribution to journal › Article › peer-review
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Constraint Enforcement on Decision Trees: a Survey
Nanfack, G., Temple, P. & Frénay, B., 14 Sept 2022, In: ACM Computing Surveys. 54, 10, 34 p., 201.Research output: Contribution to journal › Article › peer-review
Open Access -
Boundary-Based Fairness Constraints in Decision Trees and Random Forests
Nanfack, G., Delchevalerie, V. & Frénay, B., 2021, ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 375-380 6 p. (ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open AccessFile107 Downloads (Pure)
Thesis
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Constraint Enforcement on Decision Trees and its Application to Global Explainability
Author: Nanfack, G., 24 Nov 2022Supervisor: Frénay, B. (Supervisor), Temple, P. (External person) (Co-Supervisor), Vanhoof, W. (President), Verleysen, M. (External person) (Jury), Perrouin, G. (Jury) & Blockeel, H. (External person) (Jury)
Student thesis: Doc types › Doctor of Sciences
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