5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.LG2024★ 5 cited
A survey and taxonomy of methods interpreting random forest models
Maissae Haddouchi, Abdelaziz Berrado
The interpretability of random forest (RF) models is a research topic of growing interest in the machine learning (ML) community. In the state of the art, RF is considered a powerf…
cs.LG2023
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…