An Approximation of the Integrated Classification Likelihood for the Latent Block Model. - Aurore Lomet; Gérard Govaert; Yves Grandvalet (ICDM Workshops, 2012)

Model selection for Gaussian latent block clustering with the integrated classification likelihood. - Aurore Lomet; Gérard Govaert; Yves Grandvalet (Adv. Data Anal. Classif., 2018)

Saving energy by anticipating hot water production: identification of key points for an efficient statistical model integration. - Yvan Denis; Frédéric Suard; Aurore Lomet; David Chèze (Artif. Intell. Eng. Des. Anal. Manuf., 2019)

Causal discovery for fuzzy rule learning. - Lucie Kunitomo-Jacquin; Aurore Lomet; Jean-Philippe Poli (FUZZ-IEEE, 2022)

Exploitation de la causalité pour l'apprentissage de règles floues. - Lucie Kunitomo-Jacquin; Aurore Lomet; Jean-Philippe Poli (LFA, 2022)

Domestic Hot Water Forecasting for Individual Housing with Deep Learning. - Paul Compagnon; Aurore Lomet; Marina Reyboz; Martial Mermillod (PKDD/ECML Workshops (2), 2022)

Causal discovery for time series with constraint-based model and PMIME measure. - Antonin Arsac; Aurore Lomet; Jean-Philippe Poli (CoRR, 2023)

Assessing Causal Graph Uncertainty and Optimized Multivariate Discretization Strategy. - Lucie Kunitomo-Jacquin; Aurore Lomet; Geoffrey Daniel (IPMU (1), 2024)

Fast HSIC-Based Tests for Random Processes. - Antonin Arsac; Gabriel Sarazin; Aurore Lomet; Jean-Philippe Poli (IEA/AIE (1), 2025)