Une nouvelle mesure pour l'évaluation des méthodes d'extraction de thématiques : la Vraisemblance Généralisée. - Mohamed Dermouche; Julien Velcin; Sabine Loudcher; Leila Khouas (EGC, 2013)

AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis. - Mohamed Dermouche; Leila Khouas; Julien Velcin; Sabine Loudcher (SemEval@NAACL-HLT, 2013)

NYSK. - Aurélien Lauf; Leila Khouas; Mohamed Dermouche (UCI Machine Learning Repository, 2013)

A Joint Model for Topic-Sentiment Evolution over Time. - Mohamed Dermouche; Julien Velcin; Leila Khouas; Sabine Loudcher (ICDM, 2014)

Analyse et visualisation d'opinions dans un cadre de veille sur leWeb. - Mohamed Dermouche; Leila Khouas; Sabine Loudcher; Julien Velcin; Eric Fourboul (EGC, 2015)

A joint model for topic-sentiment modeling from text. - Mohamed Dermouche; Leila Khouas; Julien Velcin; Sabine Loudcher (SAC, 2015)

Supervised Topic Models for Diagnosis Code Assignment to Discharge Summaries. - Mohamed Dermouche; Julien Velcin; Rémi Flicoteaux; Sylvie Chevret; Namik Taright (CICLing (2), 2016)

ECSTRA-INSERM @ CLEF eHealth2016-task 2: ICD10 Code Extraction from Death Certificates. - Mohamed Dermouche; Vincent Looten; Rémi Flicoteaux; Sylvie Chevret; Julien Velcin; Namik Taright (CLEF (Working Notes), 2016)

A scalable and efficient solution to R deployment in industry with application to machine learning. - Mohamed Dermouche; Cyril Ferey; Mohamed Belazar; Etienne de Rocquigny (IISA, 2017)