3 citations · 3 across the 2 of their papers we have counts for
3 papers
Target-confidence Recourse Using tSeTlin machines: TRUST
K. Darshana Abeyrathna, Sara El Mekkaoui, Nils Enric Canut Taugbøl +1
Counterfactual explanations are widely used to provide algorithmic recourse in high-stakes decision-making systems. Most existing methods seek the smallest change to an input that…
The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification
K. Darshana Abeyrathna, Sara El Mekkaoui, Andreas Hafver +1
Tsetlin Machines (TMs) have emerged as a compelling alternative to conventional deep learning methods, offering notable advantages such as smaller memory footprint, faster inferenc…
Rule-Extraction Methods From Feedforward Neural Networks: A Systematic Literature Review
Sara El Mekkaoui, Loubna Benabbou, Abdelaziz Berrado
Motivated by the interpretability question in ML models as a crucial element for the successful deployment of AI systems, this paper focuses on rule extraction as a means for neura…