Feature selection using metaheuristics made easy: Open source MAFESE library in Python-Reference-Cited by-同舟云学术

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Feature selection using metaheuristics made easy: Open source MAFESE library in Python

Published:2024-11 Issue: Volume:160 Page:340-358
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Van Thieu Nguyen^ORCID,Nguyen Ngoc Hung,Heidari Ali Asghar

Publisher

Elsevier BV

Reference59 articles.

1. A survey on feature selection methods;Chandrashekar;Comput. Electr. Eng.,2014

2. Feature selection: A data perspective;Li;ACM Comput. Surv.,2018

3. Stability of feature selection algorithm: A review;Khaire;J King Saud Univ Comput. Inf. Sci.,2022

4. A review of unsupervised feature selection methods;Solorio-Fernández;Artif. Intell. Rev.,2020

5. Massively parallel feature selection: an approach based on variance preservation;Zhao;Mach. Learn.,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hierarchical Adaptive Differential Evolution with Local Search for Extreme Learning Machine;Lecture Notes in Computer Science;2024

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