Deep learning for a smart e-Icarning system. - Abdessamad Chanaa; Nour-Eddine El Faddouli (Cloudtech, 2018)

Deep learning for a smart e-learning system. - Abdessamad Chanaa; Nour-Eddine El Faddouli (ICSDE, 2018)

Doc2Vec &Naïve Bayes: Learners' Cognitive Presence Assessment through Asynchronous Online Discussion TQ Transcripts. - Hind Hayati; Abdessamad Chanaa; Mohammed Khalidi Idrissi; Samir Bennani (Int. J. Emerg. Technol. Learn., 2019)

Predicting Learners Need for Recommendation Using Dynamic Graph-Based Knowledge Tracing. - Abdessamad Chanaa; Nour-Eddine El Faddouli (AIED (2), 2020)

BERT and Prerequisite Based Ontology for Predicting Learner's Confusion in MOOCs Discussion Forums. - Abdessamad Chanaa; Nour-Eddine El Faddouli (AIED (2), 2020)

Latent Graph Predictor Factorization Machine (LGPFM) for modeling feature interactions weight. - Abdessamad Chanaa; Nour-Eddine El Faddouli (SITA, 2020)

E-learning Text Sentiment Classification Using Hierarchical Attention Network (HAN). - Abdessamad Chanaa; Nour-Eddine El Faddouli (Int. J. Emerg. Technol. Learn., 2021)

Sentiment Analysis on Massive Open Online Courses (MOOCs): Multi-Factor Analysis, and Machine Learning Approach. - Abdessamad Chanaa; Nour-Eddine El Faddouli (Int. J. Inf. Commun. Technol. Educ., 2022)

An Analysis of learners' affective and cognitive traits in Context-Aware Recommender Systems (CARS) using feature interactions and Factorization Machines (FMs). - Abdessamad Chanaa; Nour-Eddine El Faddouli (J. King Saud Univ. Comput. Inf. Sci., 2022)

Prerequisites-based course recommendation: recommending learning objects using concept prerequisites and metadata matching. - Abdessamad Chanaa; Nour-Eddine El Faddouli (Smart Learn. Environ., 2024)