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Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints

Proceedings of the AAAI Conference on Artificial Intelligence(2021)10.1609/aaai.v35i8.16842Source: DataRank Database

Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints is a research paper published in Proceedings of the AAAI Conference on Artificial Intelligence (2021). On theSindex it has a DataRank of 0. It has been cited 12 times.

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12 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 0.18)OA: goldTopics (26)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Darshan Chakrabarti,John P. Dickerson ORCID,Aravind Srinivasan ORCID,Leonidas Tsepenekas ORCID,Brian Brubach ORCID

Live enrichment

PubMed:19965766 OpenAlex:https://openalex.org/W3134042352

National Science Foundation

Grant: 2039862

D-ISN: TRACK 1: Collaborative Research: Discovery, Analysis, and Disruption of Illicit Narcotic Supply Networks

National Science Foundation

Grant: 1422569

AF: Small: Randomized Algorithms and Stochastic Models

National Science Foundation

Grant: 1852352

REU Site: CAAR: Combinatorics and Algorithms Applied to Real Problems

National Science Foundation

Grant: 1918749

Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology

National Science Foundation

Grant: 1846237

CAREER: Scalable and Robust Dynamic Matching Market Design

National Science Foundation

Grant: 1749864

EAGER: Probabilistic Models and Algorithms

FWCI

0.18

Citation Percentile

0.3%

Citation Trend

2024

goldLicense: arXiv Non-Exclusive Distribution

conferencehttps://ojs.aaai.org/index.php/AAAI/article/download/16842/16649

publisherhttps://ojs.aaai.org/index.php/AAAI/article/download/16842/16649

conferencehttps://doi.org/10.1609/aaai.v35i8.16842

repositoryhttp://arxiv.org/abs/2103.02013

repositoryhttp://export.arxiv.org/pdf/2103.02013v1

Fields of Study

Data Management and AlgorithmsAdvanced Clustering Algorithms ResearchMobile Crowdsensing and Crowdsourcing0202 electrical engineering, electronic engineering, information engineering02 engineering and technology0102 computer and information sciences01 natural sciences

Keywords

Pairwise comparisonCluster analysisConstrained clusteringMetric (unit)Computer sciencePerspective (graphical)Variety (cybernetics)Mathematical optimizationTheoretical computer scienceMachine learningCorrelation clusteringArtificial intelligenceMathematicsCURE data clustering algorithmFOS: Computer and information sciencesComputer Science - Machine LearningComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Machine Learning (cs.LG)

Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints

FAIR Checklist

Authors (5)

Funding (6 grants)

Impact

Open Access

Topics