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ORCIDIlyes Jenhani
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Journal Articles
- 2024
[j9]Montassar Ben Messaoud, Rania Ben Chekaya, Mohamed Wiem Mkaouer
, Ilyes Jenhani, Wajdi Aljedaani:
PR-DupliChecker: detecting duplicate pull requests in Fork-based workflows. Int. J. Syst. Assur. Eng. Manag. 15(7): 3538-3550 (2024)- 2023
- [j8]Montassar Ben Messaoud, Asma Miladi, Ilyes Jenhani, Mohamed Wiem Mkaouer, Lobna Ghadhab:
Duplicate Bug Report Detection Using an Attention-Based Neural Language Model. IEEE Trans. Reliab. 72(2): 846-858 (2023) - 2022
- [j7]Wajdi Aljedaani, Ibrahem Abuhaimed, Furqan Rustam, Mohamed Wiem Mkaouer, Ali Ouni, Ilyes Jenhani:
Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study. Soc. Netw. Anal. Min. 12(1): 128 (2022) - 2021
- [j6]Lobna Ghadhab, Ilyes Jenhani, Mohamed Wiem Mkaouer, Montassar Ben Messaoud:
Augmenting commit classification by using fine-grained source code changes and a pre-trained deep neural language model. Inf. Softw. Technol. 135: 106566 (2021) - 2020
- [j5]Ilyes Jenhani, Ammar Elhassan, Ghassen Ben Brahim:
A novel possibilistic artificial immune-based classifier for course learning outcome enhancement. Knowl. Inf. Syst. 62(9): 3535-3563 (2020) - 2019
- [j4]Omar Darwish, Ala I. Al-Fuqaha, Ghassen Ben Brahim, Ilyes Jenhani, Athanasios V. Vasilakos:
Using hierarchical statistical analysis and deep neural networks to detect covert timing channels. Appl. Soft Comput. 82 (2019) - 2016
- [j3]Rim Hentech, Ilyes Jenhani, Zied Elouedi:
Possibilistic AIRS induction from uncertain data. Soft Comput. 20(1): 3-17 (2016) - 2014
- [j2]Ilyes Jenhani, Zied Elouedi:
Re-visiting the artificial immune recognition system: a survey and an improved version. Artif. Intell. Rev. 42(4): 821-833 (2014) - 2008
- [j1]Ilyes Jenhani, Nahla Ben Amor, Zied Elouedi:
Decision trees as possibilistic classifiers. Int. J. Approx. Reason. 48(3): 784-807 (2008)
Conference and Workshop Papers
- 2023
- [c16]Ghaith Khlifi, Ilyes Jenhani, Montassar Ben Messaoud, Mohamed Wiem Mkaouer:
Multi-label Classification of Mobile Application User Reviews Using Neural Language Models. ECSQARU 2023: 417-426 - [c15]Waleed Alhindi, Abdulrahman Aleid, Ilyes Jenhani, Mohamed Wiem Mkaouer:
Issue-Labeler: an ALBERT-based Jira Plugin for Issue Classification. MOBILESoft 2023: 40-43 - 2022
- [c14]Deema Alshoaibi, Hiten Gupta, Max Mendelson, Ilyes Jenhani, Ali Ben Mrad, Mohamed Wiem Mkaouer:
Learning to characterize performance regression introducing code changes. SAC 2022: 1590-1597 - [c13]Ilyes Jenhani, Ghaith Khlifi, Panagiotis Sidiropoulos, Henk Jansen, George Frangou:
Non-specificity-based Supervised Discretization for Possibilistic Classification. SUM 2022: 249-262 - [c12]Wajdi Aljedaani, Mohamed Wiem Mkaouer, Stephanie Ludi, Ali Ouni, Ilyes Jenhani:
On the identification of accessibility bug reports in open source systems. W4A 2022: 19:1-19:11 - 2019
- [c11]Montassar Ben Messaoud, Ilyes Jenhani, Nermine Ben Jemaa, Mohamed Wiem Mkaouer:
A Multi-label Active Learning Approach for Mobile App User Review Classification. KSEM (1) 2019: 805-816 - [c10]Sirine Gharbi, Mohamed Wiem Mkaouer, Ilyes Jenhani, Montassar Ben Messaoud:
On the classification of software change messages using multi-label active learning. SAC 2019: 1760-1767 - 2018
- [c9]Omar Darwish, Ala I. Al-Fuqaha, Ghassen Ben Brahim, Ilyes Jenhani, Muhammad T. Anan:
Towards a Streaming Approach to the Mitigation of Covert Timing Channels. IWCMC 2018: 255-260 - 2017
- [c8]Montassar Ben Messaoud, Ilyes Jenhani, Eya Garci, Toon De Pessemier:
SemCoTrip: A Variety-Seeking Model for Recommending Travel Activities in a Composite Trip. IEA/AIE (1) 2017: 345-355 - [c7]Ilyes Jenhani, Zied Elouedi:
AIRS-GA: A hybrid deterministic classifier based on artificial immune recognition system and genetic algorithm. SSCI 2017: 1-7 - 2016
- [c6]Ilyes Jenhani, Ghassen Ben Brahim, Ammar Elhassan:
Course Learning Outcome Performance Improvement: A Remedial Action Classification Based Approach. ICMLA 2016: 408-413 - 2013
- [c5]Rim Hentech, Ilyes Jenhani, Zied Elouedi:
Learning from Uncertain Data Using Possibilistic Artificial Immune Recognition Systems. TPNC 2013: 80-95 - 2009
- [c4]Ilyes Jenhani, Salem Benferhat, Zied Elouedi:
On the Use of Clustering in Possibilistic Decision Tree Induction. ECSQARU 2009: 505-517 - 2008
- [c3]Ilyes Jenhani, Nahla Ben Amor, Salem Benferhat, Zied Elouedi:
SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach. FoIKS 2008: 348-364 - 2007
- [c2]Ilyes Jenhani, Nahla Ben Amor, Zied Elouedi, Salem Benferhat, Khaled Mellouli:
Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information. ECSQARU 2007: 840-852 - 2005
- [c1]Ilyes Jenhani, Zied Elouedi, Nahla Ben Amor, Khaled Mellouli:
Qualitative Inference in Possibilistic Option Decision Trees. ECSQARU 2005: 944-955
Coauthor Index
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