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Feature Network Methods in Machine Learning and Applications

arXiv (Cornell University)(2024)10.48550/arxiv.2401.04874Source: DataRank Database

Feature Network Methods in Machine Learning and Applications is a research paper published in arXiv (Cornell University) (2024). On theSindex it has a DataRank of 0.

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0DataRank · unranked

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Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (28)IDs (PubMed, OpenAlex)

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 (2)

Mark Kon ORCID,Xinying Mu ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4390810306

National Science Foundation

Grant: 2319011

ATD: Anomaly detection and functional data analysis with applications to threat detection for multimodal satellite data

National Institutes of Health

Grant: 5R01GM131409-02

Stochastic Dynamic MOdeling of Cellular Protein Interactions

greenLicense: cc-by

repositoryhttps://arxiv.org/pdf/2401.04874

repositoryhttp://arxiv.org/abs/2401.04874

repositoryhttps://doi.org/10.48550/arxiv.2401.04874

https://dx.doi.org/10.48550/arxiv.2401.04874

https://doi.org/10.48550/arXiv.2401.04874

Fields of Study

Advanced Graph Neural NetworksGene expression and cancer classificationBioinformatics and Genomic NetworksMachine Learning (stat.ML)Machine Learning (cs.LG)FOS: Computer and information sciences0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Computer scienceFeature (linguistics)Artificial intelligenceFeature learningFeature vectorGraphPattern recognition (psychology)Cluster analysisGraph kernelMachine learningTheoretical computer scienceSupport vector machineKernel methodRadial basis function kernelFOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningMachine Learning (stat.ML)Machine Learning (cs.LG)