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Multidataset Independent Subspace Analysis With Application to Multimodal Fusion

IEEE Transactions on Image Processing(2020)10.1109/tip.2020.3028452Source: DataRank Database

Multidataset Independent Subspace Analysis With Application to Multimodal Fusion is a research paper published in IEEE Transactions on Image Processing (2020). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)Impact (FWCI 0.43)OA: greenTopics (39)IDs (PubMed, OpenAlex)SDGs (1)

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)

Sergey Plis ORCID,Tülay Adalı ORCID,Marios S. Pattichis ORCID,Vince D. Calhoun ORCID,Rogers F. Silva ORCID

Live enrichment

PubMed:33031036 OpenAlex:https://openalex.org/W2987089667

NIH

Grant: R01EB006841

NIH

Grant: 5P20RR021938/P20GM103472

NIH

Grant: R01MH118695

NIH

Grant: RF1AG063153

NSF

Grant: 1539067

RII Track-2 FEC: Developmental Chronnecto-Genomics (Dev-CoG): A Next Generation Framework for Quantifying Brain Dynamics and Related Genetic Factors in Childhood

NSF

Grant: 1631838

NSF

Grant: 1618551

National Institutes of Health

Grant: 5P20RR021938-03

BIOSTATISTICS &NEUROINFORMATICS (STATNI) CORE

National Institutes of Health

Grant: 2R01EB005846-05A1

Informed Data-Driven Fusion of Behavior, Brain Function, and Genes

NIBIB NIH HHS

Grant: R01 EB005846

NCRR NIH HHS

Grant: P20 RR021938

NIBIB NIH HHS

Grant: R01 EB020407

NIGMS NIH HHS

Grant: P20 GM103472

FWCI

0.43

Citation Percentile

0.6%

Citation Trend

2020

2023

greenLicense: IEEE Copyright

repositoryhttps://arxiv.org/pdf/1911.04048

publisherhttps://ieeexplore.ieee.org/ielam/83/9263394/9217943-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/83/9263394/09217943.pdf?arnumber=9217943

repositoryhttp://arxiv.org/abs/1911.04048

Fields of Study

Blind Source Separation TechniquesSpectroscopy and Chemometric AnalysesSensory Analysis and Statistical Methods02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Subspace topologyIndependent component analysisComputer scienceGeneralizationArtificial intelligenceLatent variableGeneralityJoint probability distributionBlind signal separationPattern recognition (psychology)Machine learningData miningMathematicsStatisticsSignal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningJ.3I.5.1I.2.6G.1.6Image and Video Processing (eess.IV)G.3G.2.1Machine Learning (stat.ML)Electrical Engineering and Systems Science - Image and Video ProcessingStatistics - ApplicationsMachine Learning (cs.LG)Statistics - Machine LearningFOS: Electrical engineering, electronic engineering, information engineeringApplications (stat.AP)Electrical Engineering and Systems Science - Signal ProcessingG.1.6; G.2.1; G.3; H.1.1; J.3; I.5.1; I.2.6H.1.1

Sustainable Development Goals

SDG 0: No poverty