Learning Probabilistic Relational Models Using Non-Negative Matrix Factorization. - Anthony Coutant; Philippe Leray 001; Hoel Le Capitaine (FLAIRS, 2014)

On the equivalence between regularized NMF and similarity-augmented graph partitioning. - Anthony Coutant; Hoel Le Capitaine; Philippe Leray 001 (ESANN, 2015)

Probabilistic Relational Models with clustering uncertainty. - Anthony Coutant; Philippe Leray 001; Hoel Le Capitaine (IJCNN, 2015)

Modèles Relationnels Probabilistes et Incertitude de Références : Apprentissage de structure avec algorithmes de partitionnement. (Probabilistic Relational Models and Reference Uncertainty / Probabilistic Relational Models and Reference Uncertainty : Structure learning with clustering algorithms). - Anthony Coutant (2015)

Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. - Étienne Goffinet; Anthony Coutant; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi (CoRR, 2020)

Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi; Anthony Coutant (AALTD@ECML/PKDD, 2021)

Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi; Anthony Coutant (ESANN, 2021)

Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi; Anthony Coutant (Comput. Stat. Data Anal., 2022)