Géraldin Nanfack, PhD
Postdoc @ Concordia University
Research Interests
Publications
Squeeze-SegNet: a new fast deep convolutional neural network for semantic segmentation
Tenth International Conference on Machine Vision (ICMV 2017) / Apr 13, 2018
Nanfack, G., ELHASSOUNY, A., & OULAD HAJ THAMI, R. (2018). Squeeze-SegNet: a new fast deep convolutional neural network for semantic segmentation. In J. Zhou, P. Radeva, D. Nikolaev, & A. Verikas (Eds.), Tenth International Conference on Machine Vision (ICMV 2017). SPIE. https://doi.org/10.1117/12.2309497
Constraint Enforcement on Decision Trees: A Survey
ACM Computing Surveys / Jan 31, 2022
Nanfack, G., Temple, P., & Frénay, B. (2022). Constraint Enforcement on Decision Trees: A Survey. ACM Computing Surveys, 54(10s), 1–36. https://doi.org/10.1145/3506734
HCt-SNE: Hierarchical Constraints with t-SNE
2021 International Joint Conference on Neural Networks (IJCNN) / Jul 18, 2021
Vu, V. M., Bibal, A., & Frenay, B. (2021, July 18). HCt-SNE: Hierarchical Constraints with t-SNE. 2021 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn52387.2021.9534470
Learning Customised Decision Trees for Domain-knowledge Constraints
Pattern Recognition / Oct 01, 2023
Nanfack, G., Temple, P., & Frénay, B. (2023). Learning Customised Decision Trees for Domain-knowledge Constraints. Pattern Recognition, 142, 109610. https://doi.org/10.1016/j.patcog.2023.109610
Decision trees: from efficient prediction to responsible AI
Frontiers in Artificial Intelligence / Jul 26, 2023
Blockeel, H., Devos, L., Frénay, B., Nanfack, G., & Nijssen, S. (2023). Decision trees: from efficient prediction to responsible AI. Frontiers in Artificial Intelligence, 6. https://doi.org/10.3389/frai.2023.1124553
The future of evaluation of child and adolescent psychiatric treatments
IACAPAP ArXiv / Jan 01, 2021
Falissard, B. (2021). The future of evaluation of child and adolescent psychiatric treatments. IACAPAP ArXiv. https://doi.org/10.14744/iacapaparxiv.2020.20007
Boundary-Based Fairness Constraints in Decision Trees and Random Forests
ESANN 2021 proceedings / Jan 01, 2021
Nanfack, G., Delchevalerie, V., & Frénay, B. (2021). Boundary-Based Fairness Constraints in Decision Trees and Random Forests. ESANN 2021 Proceedings. https://doi.org/10.14428/esann/2021.es2021-69
On Arxiv Moderation System
Jan 01, 2023
Silagadze, Z. (2023). On Arxiv Moderation System. https://doi.org/10.2139/ssrn.4392249
Explaining through Transformer Input Sampling
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) / Oct 02, 2023
Englebert, A., Stassin, S., Nanfack, G., Mahmoudi, S. A., Siebert, X., Cornu, O., & De Vleeschouwer, C. (2023, October 2). Explaining through Transformer Input Sampling. 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). https://doi.org/10.1109/iccvw60793.2023.00088
Explaining through Transformer Input Sampling
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) / Oct 02, 2023
Englebert, A., Stassin, S., Nanfack, G., Mahmoudi, S. A., Siebert, X., Cornu, O., & De Vleeschouwer, C. (2023, October 2). Explaining through Transformer Input Sampling. 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). https://doi.org/10.1109/iccvw60793.2023.00088
The Weberian Thesis in India cas / La Thèse wébérienne en Inde.
Archives de sciences sociales des religions / Jan 01, 1976
Buchignani, N. L. (1976). The Weberian Thesis in India cas / La Thèse wébérienne en Inde. Archives de Sciences Sociales Des Religions, 42(1), 17–33. https://doi.org/10.3406/assr.1976.2097
Gradient Maximization Regularization for Signed Adversarial Attacks
2023 14th International Conference on Electrical and Electronics Engineering (ELECO) / Nov 30, 2023
Sen, D. (2023, November 30). Gradient Maximization Regularization for Signed Adversarial Attacks. 2023 14th International Conference on Electrical and Electronics Engineering (ELECO). https://doi.org/10.1109/eleco60389.2023.10415930
Education
University of Namur
Ph.D⋅, Machine Learning / December, 2022
Experience
University of Namur
PhD student / December, 2018 — November, 2022
Links & Social Media
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