Publications | Geraldin Nanfack

Publications

(2022). Decision trees: From efficient prediction to responsible AI. Under review in Frontiers in Artificial Intelligence, section Machine Learning and Artificial Intelligence.

Project

(2022). An Experimental Investigation into the Evaluation of Explainability Methods. Under review in PAKDD.

Project

(2021). Learning Customised Decision Trees for Domain-knowledge Constraints. Under review in Pattern Recognition Journal.

Project

(2021). Constraint Enforcement on Decision Trees: a Survey. ACM Computing Surveys.

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(2021). Boundary-Based Fairness Constraints in Decision Trees and Random Forests. In ESANN.

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(2020). Explaining t-SNE Embeddings Locally by Adapting LIME. In ESANN.

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(2018). Squeeze-SegNet: a new fast deep convolutional neural network for semantic segmentation. In ICMV.

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