Metaheuristic Resource Allocation Strategy for Cluster Based 6G Industrial Applications

Autor: Abderrazak Jemai, Adeeb Alhomoud, Sana Belguith, Sana Ben Hamida, Hichem Mrabet

Publikováno v: Computers, Materials & Continua. 71:667-681

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c64e7d67084dbc17fbb77cd7f57fdc8e
https://doi.org/10.32604/cmc.2022.021338

Adaptive sampling for active learning with genetic programming

Autor: Hmida Hmida, Marta Rukoz, Sana Ben Hamida, Amel Borgi

Publikováno v: Cognitive Systems Research
Cognitive Systems Research, Elsevier, 2021, 65, pp.23-39. ⟨10.1016/j.cogsys.2020.08.008⟩

Active learning is a machine learning paradigm allowing to decide which inputs to use for training. It is introduced to Genetic Programming (GP) essentially thanks to the dynamic data sampling, used to address some known issues such as the computatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::368de34d3411d07ab83972c5f6ed1a34
https://doi.org/10.1016/j.cogsys.2020.08.008

GA-PPI-Net Approach vs Analytical Approaches for Community Detection in PPI Networks

Autor: Marta Rukoz, Sana Ben Hamida, Marwa Ben M'Barek, Amel Borgi

Publikováno v: the 25th International Conference KES-2021
the 25th International Conference KES-2021, Sep 2021, Szczecin, Poland. pp.903-912, ⟨10.1016/j.procs.2021.08.093⟩
KES

International audience; Community detection has become an important research direction for data mining in complex networks. It aims to identify topological structures and discover patterns in complex networks, which presents an important problem of g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6a365a8d9d4290b31362671f6f7421e
https://hal.archives-ouvertes.fr/hal-03453020/document

Trends of Evolutionary Machine Learning to Address Big Data Mining

Autor: Ghita Benjelloun, Sana Ben Hamida, Hmida Hmida

Publikováno v: Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making
Inès Saad; Camille Rosenthal-Sabroux; Faiez Gargouri; Pierre-Emmanuel Arduin. Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making, 425, Springer International Publishing, pp.85-99, 2021, Lecture Notes in Business Information Processing, 978-3-030-85976-3. ⟨10.1007/978-3-030-85977-0_7⟩
Lecture Notes in Business Information Processing ISBN: 9783030859763
ICIKS

International audience; Improving decisions by better mining the available data in an Information System is a common goal in many decision making environments. However, the complexity and the large size of the collected data in modern systems make th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7ebc469ab31f1b1cb0d164ec9ced487

A new adaptive sampling approach for Genetic Programming

Autor: Sana Ben Hamida, Hmida Hmida, Marta Rukoz, Amel Borgi

Publikováno v: 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS)
2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS), Oct 2019, Marrakech, Morocco. pp.1-8, ⟨10.1109/ICDS47004.2019.8942353⟩
2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS), Oct 2019, Marrakech, France. pp.1-8, ⟨10.1109/ICDS47004.2019.8942353⟩

Genetic Programming (GP) is afflicted by an excessive computation time that is more exacerbated with data intensive problems. This issue has been addressed with different approaches such as sampling techniques or distributed implementations.In this p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a0ea9db3b2897487163a4a250bcf1ca
https://hal.archives-ouvertes.fr/hal-02457780