3 papers
cs.LG2025
From Black-Box Tuning to Guided Optimization via Hyperparameters Interaction Analysis
Moncef Garouani, Ayah Barhrhouj
Hyperparameters tuning is a fundamental, yet computationally expensive, step in optimizing machine learning models. Beyond optimization, understanding the relative importance and i…
cs.LG2025
XStacking: Explanation-Guided Stacked Ensemble Learning
Moncef Garouani, Ayah Barhrhouj, Olivier Teste
Ensemble Machine Learning (EML) techniques, especially stacking, have been shown to improve predictive performance by combining multiple base models. However, they are often critic…
cs.LG2025
Investigating the Duality of Interpretability and Explainability in Machine Learning
Moncef Garouani, Josiane Mothe, Ayah Barhrhouj +1
The rapid evolution of machine learning (ML) has led to the widespread adoption of complex "black box" models, such as deep neural networks and ensemble methods. These models exhib…