Nos tutelles

CNRS Dauphine PSL *

Rechercher





Accueil > PERSONNES

Membres

publié le , mis à jour le

retour a la liste des membres

Hmida Hmida

Email : Hmida.Hmida@dauphine.eu

Pole : Science des données
Status : Doctorant

Travail de These :

Title : Extension des Programmes Génétiques pour l'apprentissage supervisé à partir de très larges Bases de Données (Big data)

Publications Dblp


Publications DFIS


3 Hierarchical Data Topology Based Selection for Large Scale Learning (, , and ), In 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld) (Didier El Baz, Julien Bourgeois, ed.), IEEE, . [bibtex]

2 Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study (, , and ), In Advances in Big Data - Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece (Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco, ed.), Springer International Publishing, . [bibtex]

1 Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study (, , and ), In Advances in Big Data Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece (Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco, ed.), Springer International Publishing, . [bibtex]

Publications HAL