Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization. - Montassar Ben Messaoud; Philippe Leray 001; Nahla Ben Amor (ECSQARU, 2009)

SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies. - Montassar Ben Messaoud; Philippe Leray 001; Nahla Ben Amor (ECSQARU, 2011)

SemCaDo: une approche pour la découverte de connaissances fortuites et l'évolution ontologique. (SemCaDo: an approach for serendipitous causal discovery and ontology evolution). - Montassar Ben Messaoud (2012)

Active learning of causal Bayesian networks using ontologies: A case study. - Montassar Ben Messaoud; Philippe Leray 001; Nahla Ben Amor (IJCNN, 2013)

Dynamic: a collaborative filtering strategy for assigning examination's rooms to supervisors. - Montassar Ben Messaoud (SAC, 2015)

SemCaDo: A serendipitous strategy for causal discovery and ontology evolution. - Montassar Ben Messaoud; Philippe Leray 001; Nahla Ben Amor (Knowl. Based Syst., 2015)

An Exact Approach to Learning Probabilistic Relational Model. - Nourhene Ettouzi; Philippe Leray 001; Montassar Ben Messaoud (Probabilistic Graphical Models, 2016)

SemCoTrip: A Variety-Seeking Model for Recommending Travel Activities in a Composite Trip. - Montassar Ben Messaoud; Ilyes Jenhani; Eya Garci; Toon De Pessemier (IEA/AIE (1), 2017)

A Multi-label Active Learning Approach for Mobile App User Review Classification. - Montassar Ben Messaoud; Ilyes Jenhani; Nermine Ben Jemaa; Mohamed Wiem Mkaouer (KSEM (1), 2019)

On the classification of software change messages using multi-label active learning. - Sirine Gharbi; Mohamed Wiem Mkaouer; Ilyes Jenhani; Montassar Ben Messaoud (SAC, 2019)

Multi-task Transfer Learning for Bayesian Network Structures. - Sarah Benikhlef; Philippe Leray 001; Guillaume Raschia; Montassar Ben Messaoud; Fayrouz Sakly (ECSQARU, 2021)

Augmenting commit classification by using fine-grained source code changes and a pre-trained deep neural language model. - Lobna Ghadhab; Ilyes Jenhani; Mohamed Wiem Mkaouer; Montassar Ben Messaoud (Inf. Softw. Technol., 2021)

Multi-label Classification of Mobile Application User Reviews Using Neural Language Models. - Ghaith Khlifi; Ilyes Jenhani; Montassar Ben Messaoud; Mohamed Wiem Mkaouer (ECSQARU, 2023)

Duplicate Bug Report Detection Using an Attention-Based Neural Language Model. - Montassar Ben Messaoud; Asma Miladi; Ilyes Jenhani; Mohamed Wiem Mkaouer; Lobna Ghadhab (IEEE Trans. Reliab., 2023)

UEwMT: Leveraging User Experience and Deep Learning-Driven Methodology for Evaluating Machine Translation Services. - Khetam Al Sharou; Mohamed Kadhem Jamei; Ilyes Ben Khalifa; Sondess Missaoui; Montassar Ben Messaoud; Joss Moorkens (ICSOC Workshops (2), 2024)

PR-DupliChecker: detecting duplicate pull requests in Fork-based workflows. - Montassar Ben Messaoud; Rania Ben Chekaya; Mohamed Wiem Mkaouer; Ilyes Jenhani; Wajdi Aljedaani (Int. J. Syst. Assur. Eng. Manag., 2024)

Hierarchical multi-label classification for concrete defects: An industrial case study at Vermeg. - Montassar Ben Messaoud; Ahmed Nour; Ilyes Ben Khalifa; Mohamed Tounsi 004; Mohamed Wiem Mkaouer (J. Syst. Softw., 2026)