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Abir M'Baya
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2020 – today
- 2022
- [b1]Abir M'Baya:
A graph based end to end defect prediction framework. (Le logiciel de prédiction des défauts logiciels basé sur les graphes). University of Lyon, France, 2022 - [c6]Abir M'Baya, Néjib Moalla:
Deep Semantic and Strutural Features Learning based on Graph for Just-in-Time Defect Prediction. ENASE 2022: 128-137
2010 – 2019
- 2018
- [c5]Roua Elchamaa, Abir M'Baya, Néjib Moalla, Yacine Ouzrout, Adelaziz Bouras:
Ontology for Continuous Learning and Support. I-ESA 2018: 191-202 - [c4]Abir M'Baya, Jannik Laval, Néjib Moalla:
An Assessment Conceptual Framework for the Modernization of Legacy Systems. I-ESA 2018: 347-357 - 2017
- [c3]Abir M'Baya, Jannik Laval, Néjib Moalla:
An assessment conceptual framework for the modernization of legacy systems. SKIMA 2017: 1-11 - [i1]Abir M'Baya, Jannik Laval, Néjib Moalla, Yacine Ouzrout, Abdelaziz Bouras:
Ontology based system to guide internship assignment process. CoRR abs/1701.05059 (2017) - 2016
- [c2]Abir M'Baya, Jannik Laval, Néjib Moalla, Yacine Ouzrout, Abdelaziz Bouras:
Ontology Based System to Guide Internship Assignment Process. SITIS 2016: 589-596 - 2014
- [j1]Sofiane Lagraa, Hamida Seba, Riadh Khennoufa, Abir M'Baya, Hamamache Kheddouci:
A distance measure for large graphs based on prime graphs. Pattern Recognit. 47(9): 2993-3005 (2014) - [c1]Abir M'Baya, Omar Hammami:
Complex systems approximate matching approach for large graphs classification optimized by NSGA-II. SoCPaR 2014: 112-117
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last updated on 2024-04-24 23:19 CEST by the dblp team
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