Sparse K-means for mixed data via group-sparse clustering. - Marie Chavent; Jérôme Lacaille; Alex Mourer; Madalina Olteanu (ESANN, 2020)

An Invariance-guided Stability Criterion for Time Series Clustering Validation. - Florent Forest; Alex Mourer; Mustapha Lebbah; Hanane Azzag; Jérôme Lacaille (ICPR, 2020)

Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? - Marie Chavent; Jérôme Lacaille; Alex Mourer; Madalina Olteanu (ESANN, 2021)

Sélection et importance de variables en apprentissage automatique: Applications à des données d'essai de moteurs d'avions très corrélées. (Variable selection and importance in statistical learning / Variable selection and importance in statistical learning: Applications to highly correlated aircraft engine test data). - Alex Mourer (2022)

Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. - Alex Mourer; Florent Forest; Mustapha Lebbah; Hanane Azzag; Jérôme Lacaille (PAKDD (1), 2023)

Sparse Clustering with K-Means - Which Penalties and for Which Data? - Marie Chavent; Marie Cottrell; Alex Mourer; Madalina Olteanu (WSOM+, 2024)