Domaines de recherche
- Data Analytics
- Intelligence Artificielle
- Business Analytics
- Governance Analytics
Domaines d'enseignement
- Business Analytics
Publications des cinq dernières années
Articles
BOUTAIB, S., BECHIKH, S., PALOMBA, F., ELARBI, M., MAKHLOUF, M. et SAID, L.B. (2021). Code smell detection and identification in imbalanced environments. Expert Systems with Applications, 166, pp. 114076.
HAMMAMI, M., BECHIKH, S., LOUATI, A., MAKHLOUF, M. et SAID, L.B. (2020). Feature construction as a bi-level optimization problem. Neural Computing and Applications, 32(17), pp. 13783-13804.
ELARBI, M., BECHIKH, S., COELLO COELLO, C.A., MAKHLOUF, M. et BEN SAID, L. (2020). Approximating Complex Pareto Fronts With Predefined Normal-Boundary Intersection Directions. IEEE Transactions on Evolutionary Computation, 24(5), pp. 809-823.
Conférences et autres contributions
MAKHLOUF, M. (2023). Navigating the Future of EU Sustainable Governance: The Integration of Artificial Intelligence in Central and Eastern European Policy Making and Administration Mechanisms. Dans: EU*Asia Institute's Governing Sustainability in Europe. Budapest.
MAKHLOUF, M. (2022). BIG: Big Data Intelligence Framework. Dans: IEEE Big Data Conference. Osaka.
BOUTAIB, S., ELARBI, M., BECHIKH, S., MAKHLOUF, M. et BEN SAID, L. (2021). Dealing with Label Uncertainty in Web Service Anti-patterns Detection using a Possibilistic Evolutionary Approach. Dans: IEEE World Congress on Services (ICWS). Chicago.
MAKHLOUF, M. et ALLAL-CHÉRIF, O. (2021). Strategic Values of Cloud Computing Transformation. Dans: Information Resources Management Association (ed.). Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing. 1 ed. IGI Global, pp. 1668-1684.
HAMMAMI, M., BECHIKH, S., MAKHLOUF, M., HUNG, C.C. et BEN SAID, L. (2020). Class Dependent Feature Construction as a Bi-level Optimization Problem. Dans: IEEE World Congress on Computational Intelligence / IEEE Congress on Evolutionary Computation. Glasgow.