A Consensus Approach to Improve NMF Document Clustering. - Mickael Febrissy; Mohamed Nadif (IDA, 2020)

Wasserstein Embeddings for Nonnegative Matrix Factorization. - Mickael Febrissy; Mohamed Nadif (LOD (1), 2020)

Modèles probabilistes et factorisation matricielle non-négative : cadre unifié pour les données textuelles. (Nonnegative Matrix Factorization and Probabilistic Models : A unified framework for text data). - Mickael Febrissy (2021)

Improving NMF clustering by leveraging contextual relationships among words. - Mickael Febrissy; Aghiles Salah; Melissa Ailem; Mohamed Nadif (Neurocomputing, 2022)