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Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification

IEEE Access(2021)10.1109/access.2021.3079716Source: DataRank Database

Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification is a research paper published in IEEE Access (2021). On theSindex it has a DataRank of 0. It has been cited 40 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access40 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 4.78)OA: goldTopics (19)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 (5)

Gregory M. Goldgof ORCID,Rahul Paul ORCID,Dmitry B. Goldgof ORCID,Lawrence Hall ORCID,Kaoutar Ben Ahmed ORCID

Live enrichment

PubMed:34178559 OpenAlex:https://openalex.org/W3163878355

NSF

Grant: 1513126

NIH

Grant: R38HL143581

FWCI

4.78

Citation Percentile

1.0%

Citation Trend

2021

2022

2023

2024

2025

goldLicense: cc-by

journalhttps://ieeexplore.ieee.org/ielx7/6287639/9312710/09430538.pdf

publisherhttps://ieeexplore.ieee.org/ielx7/6287639/9312710/09430538.pdf

publisherhttps://ieeexplore.ieee.org/ielam/6287639/9312710/9430538-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6287639/9312710/09430538.pdf?arnumber=9430538

journalhttps://doi.org/10.1109/access.2021.3079716

Fields of Study

COVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsArtificial Intelligence in Healthcare and Education

Keywords

Spurious relationshipComputer scienceConvolutional neural networkArtificial intelligenceLeverage (statistics)GeneralizationFeature (linguistics)ConfoundingMachine learningPattern recognition (psychology)Coronavirus disease 2019 (COVID-19)Deep learningRaw dataMathematicsStatisticsMedicine