EOS VeriLearn Project
Description in progress…
Géraldin Nanfack
Postdoctoral Researcher
My research interests include constraints in machine learning, interpretability and trustworthiness.
Publications
(2022).
An Experimental Investigation into the Evaluation of Explainability Methods.
Under review in PAKDD.
(2022).
Decision trees: From efficient prediction to responsible AI.
Under review in Frontiers in Artificial Intelligence, section Machine Learning and Artificial Intelligence.
(2021).
Constraint Enforcement on Decision Trees: a Survey.
ACM Computing Surveys.
(2021).
Learning Customised Decision Trees for Domain-knowledge Constraints.
Under review in Pattern Recognition Journal.
(2021).
Boundary-Based Fairness Constraints in Decision Trees and Random Forests.
In ESANN.
(2021).
Global Explanations with Decision Rules: a Co-learning Approach.
In UAI.
(2020).
Explaining t-SNE Embeddings Locally by Adapting LIME.
In ESANN.
