Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets-Reference-Cited by-同舟云学术

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Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets

Published:2024-09 Issue: Volume:249 Page:123521
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Nematzadeh Hossein^ORCID,García-Nieto José^ORCID,Aldana-Montes José F.^ORCID,Navas-Delgado Ismael^ORCID

Publisher

Elsevier BV

Reference30 articles.

1. Automatic ensemble feature selection using fast non-dominated sorting;Abasabadi;Information Systems,2021

2. Hybrid feature selection based on SLI and genetic algorithm for microarray datasets;Abasabadi;The Journal of Supercomputing,2022

3. GENEmops: Supervised feature selection from high dimensional biomedical dataset;Agarwalla;Applied Soft Computing,2022

4. A two-layer feature selection method using genetic algorithm and elastic net;Amini;Expert Systems with Applications,2021

5. Mutual information-based filter hybrid feature selection method for medical datasets using feature clustering;Asghari;Multimedia Tools and Applications,2023

Cited by 2 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

2. Feature selection using a classification error impurity algorithm and an adaptive genetic algorithm improved with an external repository;Knowledge-Based Systems;2024-10

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