Montassar Ben Messaoud

According to our database, Montassar Ben Messaoud authored at least 15 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., July, 2024

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

Multi-label Classification of Mobile Application User Reviews Using Neural Language Models.

Ghaith Khlifi, Ilyes Jenhani, Montassar Ben Messaoud, Mohamed Wiem Mkaouer

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

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-task Transfer Learning for Bayesian Network Structures.

Sarah Benikhlef, Philippe Leray, Guillaume Raschia, Montassar Ben Messaoud, Fayrouz Sakly

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2019

On the classification of software change messages using multi-label active learning.

Sirine Gharbi, Mohamed Wiem Mkaouer, Ilyes Jenhani, Montassar Ben Messaoud

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

A Multi-label Active Learning Approach for Mobile App User Review Classification.

Montassar Ben Messaoud, Ilyes Jenhani, Nermine Ben Jemaa, Mohamed Wiem Mkaouer

Proceedings of the Knowledge Science, Engineering and Management, 2019

2017

SemCoTrip: A Variety-Seeking Model for Recommending Travel Activities in a Composite Trip.

Montassar Ben Messaoud, Ilyes Jenhani, Eya Garci, Toon De Pessemier

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2016

An Exact Approach to Learning Probabilistic Relational Model.

Nourhene Ettouzi, Philippe Leray, Montassar Ben Messaoud

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015

SemCaDo: A serendipitous strategy for causal discovery and ontology evolution.

Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor

Knowl. Based Syst., 2015

Dynamic: a collaborative filtering strategy for assigning examination's rooms to supervisors.

Montassar Ben Messaoud

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2013

Active learning of causal Bayesian networks using ontologies: A case study.

Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

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

PhD thesis, 2012

2011

SemCaDo: A Serendipitous Strategy for Learning Causal Bayesian Networks Using Ontologies.

Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2009

Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization.

Montassar Ben Messaoud, Philippe Leray, Nahla Ben Amor

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009