Géraldin Nanfack

According to our database, Géraldin Nanfack authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting.

Humza Wajid Hameed, Géraldin Nanfack, Eugene Belilovsky

CoRR, 2024

From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation.

Géraldin Nanfack, Michael Eickenberg, Eugene Belilovsky

CoRR, 2024

Adversarial Attacks on the Interpretation of Neuron Activation Maximization.

Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Customised Decision Trees for Domain-knowledge Constraints.

Géraldin Nanfack, Paul Temple, Benoît Frénay

Pattern Recognit., October, 2023

Decision trees: from efficient prediction to responsible AI.

Hendrik Blockeel, Laurens Devos, Benoît Frénay, Géraldin Nanfack, Siegfried Nijssen

Frontiers Artif. Intell., February, 2023

An Experimental Investigation into the Evaluation of Explainability Methods.

Sédrick Stassin, Alexandre Englebert, Géraldin Nanfack, Julien Albert, Nassim Versbraegen, Gilles Peiffer, Miriam Doh, Nicolas Riche, Benoît Frénay, Christophe De Vleeschouwer

CoRR, 2023

Explaining through Transformer Input Sampling.

Alexandre Englebert, Sédrick Stassin, Géraldin Nanfack, Sidi Ahmed Mahmoudi, Xavier Siebert, Olivier Cornu, Christophe De Vleeschouwer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Constraint Enforcement on Decision Trees: A Survey.

Géraldin Nanfack, Paul Temple, Benoît Frénay

ACM Comput. Surv., January, 2022

Constraint Enforcement on Decision Trees and its Application to Global Explainability

Géraldin Nanfack

PhD thesis, 2022

2021

Global explanations with decision rules: a co-learning approach.

Géraldin Nanfack, Paul Temple, Benoît Frénay

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Boundary-Based Fairness Constraints in Decision Trees and Random Forests.

Géraldin Nanfack, Valentin Delchevalerie, Benoît Frénay

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Explaining t-SNE Embeddings Locally by Adapting LIME.

Adrien Bibal, Viet Minh Vu, Géraldin Nanfack, Benoît Frénay

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2017

Squeeze-SegNet: a new fast deep convolutional neural network for semantic segmentation.

Géraldin Nanfack, Azeddine Elhassouny, Rachid Oulad Haj Thami

Proceedings of the Tenth International Conference on Machine Vision, 2017