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Integrating Statistical and Machine Learning Approaches for Neural Classification

IEEE Access(2022)10.1109/access.2022.3221436Source: DataRank Database

Integrating Statistical and Machine Learning Approaches for Neural Classification is a research paper published in IEEE Access (2022). On theSindex it has a DataRank of 0. It has been cited 6 times.

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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:Funding (4 grants)OA: goldTopics (12)IDs (PubMed)

FAIR Checklist

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Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Shantanu P. Jadhav ORCID,Uri T. Eden ORCID,Mehrad Sarmashghi ORCID

Live enrichment

PubMed:21097893

Simons Foundation

Grant: 542971

National Institutes of Health

Grant: R01-MH105174

National Institutes of Health

Grant: RO1-MH112662

National Institutes of Health

Grant: 5R01MH105174-04

Real-time analysis of memories and decisions

goldLicense: cc-by

publisherhttps://ieeexplore.ieee.org/ielx7/6287639/6514899/09945938.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6287639/9668973/09945938.pdf?arnumber=9945938

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10205093/pdf/nihms-1850957.pdf

repositoryhttps://doaj.org/article/7b0fa8c939074ff382f58bf433abccec

https://doi.org/10.1109/access.2022.3221436

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

machine learninglarge-scale neural datareceptive fieldDeep learningneural codingElectrical engineering. Electronics. Nuclear engineeringstatistical modelsArticleTK1-9971