Montassar Ben Messaoud

19 papers B 2C 4Misc 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hierarchical multi-label classification for concrete defects: An industrial case study at Vermeg.
J. Syst. Softw.
Montassar Ben Messaoud, Ahmed Nour, Ilyes Ben Khalifa, Mohamed Tounsi, Mohamed Wiem Mkaouer
2025 B conf
Automated Duplicate Bugs Detection: Do We Really Need All Bug Report Sections?
CoopIS
Lobna Ghadhab, Ilyes Jenhani, Montassar Ben Messaoud, Mohamed Wiem Mkaouer
2025 J jnl
Detecting Software Defects With Hierarchical Multilabel Classification: Insights From an Industrial Case Study.
IT Prof.
Montassar Ben Messaoud, Ahmed Nour, Ilyes Ben Khalifa, Mohamed Tounsi, Mohamed Wiem Mkaouer
2024 J jnl
PR-DupliChecker: detecting duplicate pull requests in Fork-based workflows.
Int. J. Syst. Assur. Eng. Manag.
Montassar Ben Messaoud, Rania Ben Chekaya, Mohamed Wiem Mkaouer, Ilyes Jenhani, Wajdi Aljedaani
2024 — conf
UEwMT: Leveraging User Experience and Deep Learning-Driven Methodology for Evaluating Machine Translation Services.
ICSOC Workshops (2)
Khetam Al Sharou, Mohamed Kadhem Jamei, Ilyes Ben Khalifa, Sondess Missaoui, Montassar Ben Messaoud, Joss Moorkens
2023 J jnl
Duplicate Bug Report Detection Using an Attention-Based Neural Language Model.
IEEE Trans. Reliab.
Montassar Ben Messaoud, Asma Miladi, Ilyes Jenhani, Mohamed Wiem Mkaouer, Lobna Ghadhab
2023 C conf
Multi-label Classification of Mobile Application User Reviews Using Neural Language Models.
ECSQARU
Ghaith Khlifi, Ilyes Jenhani, Montassar Ben Messaoud, Mohamed Wiem Mkaouer
2021 J jnl
Augmenting commit classification by using fine-grained source code changes and a pre-trained deep neural language model.
Inf. Softw. Technol.
Lobna Ghadhab, Ilyes Jenhani, Mohamed Wiem Mkaouer, Montassar Ben Messaoud
2021 C conf
Multi-task Transfer Learning for Bayesian Network Structures.
ECSQARU
Sarah Benikhlef, Philippe Leray, Guillaume Raschia, Montassar Ben Messaoud, Fayrouz Sakly
2019 — conf
A Multi-label Active Learning Approach for Mobile App User Review Classification.
KSEM (1)
Montassar Ben Messaoud, Ilyes Jenhani, Nermine Ben Jemaa, Mohamed Wiem Mkaouer
2019 Misc conf
On the classification of software change messages using multi-label active learning.
SAC
Sirine Gharbi, Mohamed Wiem Mkaouer, Ilyes Jenhani, Montassar Ben Messaoud
2017 — conf
SemCoTrip: A Variety-Seeking Model for Recommending Travel Activities in a Composite Trip.
IEA/AIE (1)
Montassar Ben Messaoud, Ilyes Jenhani, Eya Garci, Toon De Pessemier
2016 — conf
An Exact Approach to Learning Probabilistic Relational Model.
Probabilistic Graphical Models
Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud
2015 Misc conf
Dynamic: a collaborative filtering strategy for assigning examination's rooms to supervisors.
SAC
Montassar Ben Messaoud
2015 J jnl
SemCaDo: A serendipitous strategy for causal discovery and ontology evolution.
Knowl. Based Syst.
Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
2013 B conf
Active learning of causal Bayesian networks using ontologies: A case study.
IJCNN
Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
2012 — —
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
2011 C conf
SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies.
ECSQARU
Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor
2009 C conf
Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization.
ECSQARU
Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor