Ilyes Jenhani

According to our database, Ilyes Jenhani authored at least 25 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

Issue-Labeler: an ALBERT-based Jira Plugin for Issue Classification.

Waleed Alhindi, Abdulrahman Aleid, Ilyes Jenhani, Mohamed Wiem Mkaouer

Proceedings of the 10th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 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

2022

Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study.

Wajdi Aljedaani, Ibrahem Abuhaimed, Furqan Rustam, Mohamed Wiem Mkaouer, Ali Ouni, Ilyes Jenhani

Soc. Netw. Anal. Min., 2022

On the identification of accessibility bug reports in open source systems.

Wajdi Aljedaani, Mohamed Wiem Mkaouer, Stephanie Ludi, Ali Ouni, Ilyes Jenhani

Proceedings of the W4A'22: 19th Web for All Conference, Lyon, France, April 25 - 26, 2022, 2022

Non-specificity-based Supervised Discretization for Possibilistic Classification.

Ilyes Jenhani, Ghaith Khlifi, Panagiotis Sidiropoulos, Henk Jansen, George Frangou

Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

Learning to characterize performance regression introducing code changes.

Deema Alshoaibi, Hiten Gupta, Max Mendelson, Ilyes Jenhani, Ali Ben Mrad, Mohamed Wiem Mkaouer

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

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

2020

A novel possibilistic artificial immune-based classifier for course learning outcome enhancement.

Ilyes Jenhani, Ammar Elhassan, Ghassen Ben Brahim

Knowl. Inf. Syst., 2020

2019

Using hierarchical statistical analysis and deep neural networks to detect covert timing channels.

Omar Darwish, Ala I. Al-Fuqaha, Ghassen Ben Brahim, Ilyes Jenhani, Athanasios V. Vasilakos

Appl. Soft Comput., 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

2018

Towards a Streaming Approach to the Mitigation of Covert Timing Channels.

Omar Darwish, Ala I. Al-Fuqaha, Ghassen Ben Brahim, Ilyes Jenhani, Muhammad T. Anan

Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

2017

AIRS-GA: A hybrid deterministic classifier based on artificial immune recognition system and genetic algorithm.

Ilyes Jenhani, Zied Elouedi

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 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

Possibilistic AIRS induction from uncertain data.

Rim Hentech, Ilyes Jenhani, Zied Elouedi

Soft Comput., 2016

Course Learning Outcome Performance Improvement: A Remedial Action Classification Based Approach.

Ilyes Jenhani, Ghassen Ben Brahim, Ammar Elhassan

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2014

Re-visiting the artificial immune recognition system: a survey and an improved version.

Ilyes Jenhani, Zied Elouedi

Artif. Intell. Rev., 2014

2013

Learning from Uncertain Data Using Possibilistic Artificial Immune Recognition Systems.

Rim Hentech, Ilyes Jenhani, Zied Elouedi

Proceedings of the Theory and Practice of Natural Computing, 2013

2009

On the Use of Clustering in Possibilistic Decision Tree Induction.

Ilyes Jenhani, Salem Benferhat, Zied Elouedi

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

2008

Decision trees as possibilistic classifiers.

Ilyes Jenhani, Nahla Ben Amor, Zied Elouedi

Int. J. Approx. Reason., 2008

SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach.

Ilyes Jenhani, Nahla Ben Amor, Salem Benferhat, Zied Elouedi

Proceedings of the Foundations of Information and Knowledge Systems, 2008

2007

Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information.

Ilyes Jenhani, Nahla Ben Amor, Zied Elouedi, Salem Benferhat, Khaled Mellouli

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2005

Qualitative Inference in Possibilistic Option Decision Trees.

Ilyes Jenhani, Zied Elouedi, Nahla Ben Amor, Khaled Mellouli

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005