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Fair Data Representation for Machine Learning at the Pareto Frontier

PubMed(2022)10.48550/arxiv.2201.00292Source: DataRank Database

Fair Data Representation for Machine Learning at the Pareto Frontier is a research paper published in PubMed (2022). 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 (6 grants)Impact (FWCI 0.64)OA: greenTopics (35)IDs (PubMed, PMC, OpenAlex)SDGs (2)

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)

Thomas Strohmer ORCID,Shizhou Xu ORCID

Live enrichment

PubMed:39440315 PMC:PMC11494318 OpenAlex:https://openalex.org/W4221148696

NIBIB NIH HHS

Grant: P41 EB032840

NHLBI NIH HHS

Grant: R01 HL163515

National Science Foundation

Grant: 1934568

HDR TRIPODS: UC Davis TETRAPODS Institute of Data Science

National Science Foundation

Grant: 2027248

ATD: A Mathematical Framework for Generating Synthetic Data

National Science Foundation

Grant: 2208356

Collaborative Research: Algorithms, Theory, and Validation of Deep Graph Learning with Limited Supervision: A Continuous Perspective

National Science Foundation

Grant: 1737943

ATD: Multimode Machine Learning and Deep GeoNetworks for Anomaly Detection

FWCI

0.64

Citation Percentile

0.7%

Citation Trend

2023

2025

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://arxiv.org/pdf/2201.00292

repositoryhttp://arxiv.org/abs/2201.00292

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39440315

repositoryhttps://escholarship.org/uc/item/67z9r23d

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11494318

Fields of Study

Ethics and Social Impacts of AIAdversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)Machine Learning (stat.ML)Machine Learning (cs.LG)Probability (math.PR)FOS: Computer and information sciencesFOS: Mathematics02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

FrontierPareto principleRepresentation (politics)Computer scienceExternal Data RepresentationArtificial intelligenceMachine learningEconomicsOperations managementPolitical scienceWasserstein BarycenterEqualized OddsWasserstein GeodesicsConditional Expectation EstimationStatistical ParityFOS: Computer and information sciencesComputer Science - Machine Learning330Probability (math.PR)Machine Learning (stat.ML)510Machine Learning (cs.LG)Statistics - Machine LearningFOS: MathematicsMathematics - Probability

Sustainable Development Goals

SDG 4: 4. EducationSDG 0: Peace, Justice and strong institutions