Squeeze-SegNet: a new fast deep convolutional neural network for semantic segmentation. - Géraldin Nanfack; Azeddine Elhassouny; Rachid Oulad Haj Thami (ICMV, 2017)

Explaining t-SNE Embeddings Locally by Adapting LIME. - Adrien Bibal; Viet Minh Vu; Géraldin Nanfack; Benoît Frénay (ESANN, 2020)

Boundary-Based Fairness Constraints in Decision Trees and Random Forests. - Géraldin Nanfack; Valentin Delchevalerie; Benoît Frénay (ESANN, 2021)

Global explanations with decision rules: a co-learning approach. - Géraldin Nanfack; Paul Temple; Benoît Frénay (UAI, 2021)

Constraint Enforcement on Decision Trees and its Application to Global Explainability - Géraldin Nanfack (2022)

Constraint Enforcement on Decision Trees: A Survey. - Géraldin Nanfack; Paul Temple; Benoît Frénay (ACM Comput. Surv., 2022)

Explaining through Transformer Input Sampling. - Alexandre Englebert; Sédrick Stassin; Géraldin Nanfack; Sidi Ahmed Mahmoudi; Xavier Siebert; Olivier Cornu; Christophe De Vleeschouwer (ICCV (Workshops), 2023)

An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision. - Sédrick Stassin; Alexandre Englebert; Géraldin Nanfack; Julien Albert; Nassim Versbraegen; Gilles Peiffer; Miriam Doh; Nicolas Riche; Benoît Frénay; Christophe De Vleeschouwer (PKDD/ECML Workshops (1), 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)

Decision trees: from efficient prediction to responsible AI. - Hendrik Blockeel; Laurens Devos; Benoît Frénay; Géraldin Nanfack; Siegfried Nijssen (Frontiers Artif. Intell., 2023)

Learning Customised Decision Trees for Domain-knowledge Constraints. - Géraldin Nanfack; Paul Temple; Benoît Frénay (Pattern Recognit., 2023)

Adversarial Attacks on the Interpretation of Neuron Activation Maximization. - Géraldin Nanfack; Alexander Fulleringer; Jonathan Marty; Michael Eickenberg; Eugene Belilovsky (AAAI, 2024)

From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation. - Géraldin Nanfack; Michael Eickenberg; Eugene Belilovsky (CoRR, 2024)

Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting. - Humza Wajid Hameed; Géraldin Nanfack; Eugene Belilovsky (CoRR, 2024)

FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups. - Géraldin Nanfack; Eugene Belilovsky (CoRR, 2025)