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A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

UNC Libraries(2020)10.17615/v40e-tc44Source: DataRank Database

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis is a research paper published in UNC Libraries (2020). On theSindex it has a DataRank of 0. It has been cited 6 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Seong–Whan Lee ORCID,Dinggang Shen ORCID,Xiaofeng Zhu ORCID,Heung‐Il Suk ORCID,Li Wang ORCID

Live enrichment