| Sampling methods in genetic programming learners from large datasets: A comparative study H Hmida, SB Hamida, A Borgi, M Rukoz Advances in Big Data: Proceedings of the 2nd INNS Conference on Big Data …, 2017 | 17 | 2017 |
| Scale genetic programming for large data sets: case of Higgs Bosons classification H Hmida, SB Hamida, A Borgi, M Rukoz Procedia Computer Science 126, 302-311, 2018 | 12 | 2018 |
| Hierarchical Data Topology Based Selection for Large Scale Learning ABMR Hmida Hmida, Sana Ben Hamida Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and …, 2016 | 11 | 2016 |
| Adaptive sampling for active learning with genetic programming SB Hamida, H Hmida, A Borgi, M Rukoz Cognitive Systems Research 65, 23-39, 2021 | 7 | 2021 |
| Trends of evolutionary machine learning to address big data mining S Ben Hamida, G Benjelloun, H Hmida International Conference on Information and Knowledge Systems, 85-99, 2021 | 3 | 2021 |
| Genetic programming over spark for higgs boson classification H Hmida, S Ben Hamida, A Borgi, M Rukoz Business Information Systems: 22nd International Conference, BIS 2019 …, 2019 | 3 | 2019 |
| A new adaptive sampling approach for Genetic Programming H Hmida, SB Hamida, A Borgi, M Rukoz 2019 Third International Conference on Intelligent Computing in Data …, 2019 | 2 | 2019 |
| Algorithm vs Processing Manipulation to Scale Genetic Programming to Big Data Mining S Ben Hamida, H Hmida Metaheuristics for Machine Learning: New Advances and Tools, 179-199, 2022 | | 2022 |
| Extension des Programmes Génétiques pour l’apprentissage supervisé à partir de très larges Bases de Données (Big data) H Hmida Université Paris sciences et lettres; Université de Tunis El Manar, 2019 | | 2019 |
Sana Ben HamidaMCF Informatique, Université Paris Nanterre - LAMSADE- Université Paris DauphineAdresse e-mail validée de parisnanterre.fr
