From possibilistic similarity measures to possibilistic decision trees.

Autor: Jenhani, Ilyes

Cette thèse traite deux problèmes importants dans les domaine de l'apprentissage automatique et du raisonnement dans l'incertain : comment évaluer une relation de similarité entre deux informations incertaines et comment assurer la classification

Externí odkaz: http://www.theses.fr/2010ARTO0402/document

PR-DupliChecker: detecting duplicate pull requests in Fork-based workflows.

Autor: Messaoud, Montassar Ben, Chekaya, Rania Ben, Mkaouer, Mohamed Wiem, Jenhani, Ilyes, Aljedaani, Wajdi

Publikováno v: International Journal of Systems Assurance Engineering & Management; Jul2024, Vol. 15 Issue 7, p3538-3550, 13p

Decision trees as possibilistic classifiers

Autor: Jenhani, Ilyes, Amor, Nahla Ben, Elouedi, Zied

Publikováno v: In International Journal of Approximate Reasoning 2008 48(3):784-807

Duplicate Bug Report Detection Using an Attention-Based Neural Language Model

Autor: Messaoud, Montassar Ben, Miladi, Asma, Jenhani, Ilyes, Mkaouer, Mohamed Wiem, Ghadhab, Lobna

Publikováno v: IEEE Transactions on Reliability; 2023, Vol. 72 Issue: 2 p846-858, 13p

Possibilistic Similarity Measures

Autor: Jenhani, Ilyes, Benferhat, Salem, Elouedi, Zied

Publikováno v: Foundations of Reasoning under Uncertainty
Foundations of Reasoning under Uncertainty, Springer, pp.99-123, 2010, Studies in Fuzziness and Soft Computing

Volume = 249

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7a7bbea2d7bfceb2317e028b10dce2cd
https://hal.archives-ouvertes.fr/hal-00870021