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Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2049702
Abstract: Feature selection is a data processing method which aims to select effective feature subsets from original features. Feature selection based on evolutionary computation (EC) algorithms can often achieve better classification performance because of their global…
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Keywords:
selection method;
feature;
feature selection;
feature ranking ... See more keywords
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Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa621
Abstract: SUMMARY Nowadays, it is feasible to collect massive features for quantitative representation and precision medicine, and thus, automatic ranking to figure out the most informative and discriminative ones becomes increasingly important. To address this issue,…
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Keywords:
toolbox;
matlab toolbox;
feature ranking;
matfr ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3180773
Abstract: In many machine learning classification problems, datasets are usually of high dimensionality and therefore require efficient and effective methods for identifying the relative importance of their attributes, eliminating the redundant and irrelevant ones. Due to…
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Keywords:
feature;
feature ranking;
ranking methods;
multivariate feature ... See more keywords
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Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0184203
Abstract: Proteomic analysis of cancers' stages has provided new opportunities for the development of novel, highly sensitive diagnostic tools which helps early detection of cancer. This paper introduces a new feature ranking approach called FRMT. FRMT…
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Keywords:
feature ranking;
proteomics data;
method;
novel feature ... See more keywords