Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ahadzadeh, Behrouz"'
Autor:
Ahadzadeh, Behrouz, Abdar, Moloud, Safara, Fatemeh, Khosravi, Abbas, Menhaj, Mohammad Bagher, Suganthan, Ponnuthurai Nagaratnam
In this paper, a new feature selection algorithm, called SFE (Simple, Fast, and Efficient), is proposed for high-dimensional datasets. The SFE algorithm performs its search process using a search agent and two operators: non-selection and selection.
Externí odkaz:
http://arxiv.org/abs/2303.10182
Publikováno v:
In Healthcare Analytics December 2024 6
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Autor:
Ahadzadeh, Behrouz, Abdar, Moloud, Foroumandi, Mahdieh, Safara, Fatemeh, Khosravi, Abbas, García, Salvador, Suganthan, Ponnuthurai Nagaratnam
Publikováno v:
In Swarm and Evolutionary Computation December 2024 91
Autor:
Ahadzadeh, Behrouz, Abdar, Moloud, Safara, Fatemeh, Aghaei, Leyla, Mirjalili, Seyedali, Khosravi, Abbas, García, Salvador, Karray, Fakhri, Acharya, U.Rajendra
Publikováno v:
In Applied Soft Computing January 2024 151
Publikováno v:
2014 4th International Conference on Computer & Knowledge Engineering (ICCKE); 2014, p598-603, 6p
Publikováno v:
2014 4th International Conference on Computer & Knowledge Engineering (ICCKE); 2014, p468-473, 6p