Qualitative Inference in Possibilistic Option Decision Trees. - Ilyes Jenhani; Zied Elouedi; Nahla Ben Amor; Khaled Mellouli (ECSQARU, 2005)

Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information. - Ilyes Jenhani; Nahla Ben Amor; Zied Elouedi; Salem Benferhat; Khaled Mellouli (ECSQARU, 2007)

SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach. - Ilyes Jenhani; Nahla Ben Amor; Salem Benferhat; Zied Elouedi (FoIKS, 2008)

Decision trees as possibilistic classifiers. - Ilyes Jenhani; Nahla Ben Amor; Zied Elouedi (Int. J. Approx. Reason., 2008)

On the Use of Clustering in Possibilistic Decision Tree Induction. - Ilyes Jenhani; Salem Benferhat; Zied Elouedi (ECSQARU, 2009)

Learning from Uncertain Data Using Possibilistic Artificial Immune Recognition Systems. - Rim Hentech; Ilyes Jenhani; Zied Elouedi (TPNC, 2013)

Re-visiting the artificial immune recognition system: a survey and an improved version. - Ilyes Jenhani; Zied Elouedi (Artif. Intell. Rev., 2014)

Course Learning Outcome Performance Improvement: A Remedial Action Classification Based Approach. - Ilyes Jenhani; Ghassen Ben Brahim; Ammar Elhassan (ICMLA, 2016)

Possibilistic AIRS induction from uncertain data. - Rim Hentech; Ilyes Jenhani; Zied Elouedi (Soft Comput., 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)

AIRS-GA: A hybrid deterministic classifier based on artificial immune recognition system and genetic algorithm. - Ilyes Jenhani; Zied Elouedi (SSCI, 2017)

Towards a Streaming Approach to the Mitigation of Covert Timing Channels. - Omar Darwish 001; Ala I. Al-Fuqaha; Ghassen Ben Brahim; Ilyes Jenhani; Muhammad T. Anan (IWCMC, 2018)

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)

Using hierarchical statistical analysis and deep neural networks to detect covert timing channels. - Omar Darwish 001; Ala I. Al-Fuqaha; Ghassen Ben Brahim; Ilyes Jenhani; Athanasios V. Vasilakos (Appl. Soft Comput., 2019)

A novel possibilistic artificial immune-based classifier for course learning outcome enhancement. - Ilyes Jenhani; Ammar Elhassan; Ghassen Ben Brahim (Knowl. Inf. Syst., 2020)

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)

Learning to characterize performance regression introducing code changes. - Deema Alshoaibi; Hiten Gupta; Max Mendelson; Ilyes Jenhani; Ali Ben Mrad; Mohamed Wiem Mkaouer (SAC, 2022)

Non-specificity-based Supervised Discretization for Possibilistic Classification. - Ilyes Jenhani; Ghaith Khlifi; Panagiotis Sidiropoulos; Henk Jansen; George Frangou (SUM, 2022)

On the identification of accessibility bug reports in open source systems. - Wajdi Aljedaani; Mohamed Wiem Mkaouer; Stephanie Ludi; Ali Ouni 001; Ilyes Jenhani (W4A, 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 001; Ilyes Jenhani (Soc. Netw. Anal. Min., 2022)

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

Issue-Labeler: an ALBERT-based Jira Plugin for Issue Classification. - Waleed Alhindi; Abdulrahman Aleid; Ilyes Jenhani; Mohamed Wiem Mkaouer (MOBILESoft, 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)

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)