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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Dive into the research topics where Geraldin Nanfack is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Finished
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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 -
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 AccessFile56 Downloads (Pure) -
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 AccessFile35 Downloads (Pure) -
Explaining t-SNE embeddings locally by adapting LIME
Bibal, A., Vu, V. M., Nanfack, G. & Frénay, B., 21 Oct 2020, ESANN 2020 : 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium: ESANN (i6doc.com), p. 393-398Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open AccessFile25 Downloads (Pure) -
Squeeze-SegNet: A new fast deep convolutional neural network for semantic segmentation
Nanfack, G., Elhassouny, A. & Oulad Haj Thami, R., 2018, Tenth International Conference on Machine Vision, ICMV 2018. Zhou, J., Verikas, A., Nikolaev, D. & Radeva, P. (eds.). SPIE, 106962O. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10696).Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution