15 citations · 17 across the 16 of their papers we have counts for
7 papers · 1 filter
IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
Aymane Harkati, Moncef Garouani, Olivier Teste +2
Accurate forecasting of multivariate time series remains challenging due to the need to capture both short-term fluctuations and long-range temporal dependencies. Transformer-based…
Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity
Jordan Levy, Paul Saves, Moncef Garouani +2
Unsupervised anomaly detection is a challenging problem due to the diversity of data distributions and the lack of labels. Ensemble methods are often adopted to mitigate these chal…
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…
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…
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization
Moncef Garouani
Considerable progress has been made in the recent literature studies to tackle the Algorithms Selection and Parametrization (ASP) problem, which is diversified in multiple meta-lea…
Model Lake: a New Alternative for Machine Learning Models Management and Governance
Moncef Garouani, Franck Ravat, Nathalie Valles-Parlangeau
The rise of artificial intelligence and data science across industries underscores the pressing need for effective management and governance of machine learning (ML) models. Tradit…
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…