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DynamoSort: Using machine learning approaches for the automatic classification of seizure dynamotypes

Neurocomputing(2025)10.1016/j.neucom.2025.130992Source: DataRank Database

DynamoSort: Using machine learning approaches for the automatic classification of seizure dynamotypes is a research paper published in Neurocomputing (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: closedTopics (11)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 (9)

Ashley Zachery-Savella ORCID,M. Le ORCID,Sally Scofield,Kishore Jay,Josh Mosse-Robinson

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4412429162

U.S. Department of Health and Human Services

Grant: HHS 271201600048

National Institute of Neurological Disorders and Stroke

Grant: HHS 75N95022C00007

National Institute of Neurological Disorders and Stroke

Grant: F32 NS114322

FWCI

0.00

Citation Percentile

0.1%

closedLicense: http://creativecommons.org/licenses/by-nc/4.0/

publisherhttps://api.elsevier.com/content/article/PII:S0925231225016649?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0925231225016649?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.neucom.2025.130992

Fields of Study

EEG and Brain-Computer InterfacesEpilepsy research and treatmentFunctional Brain Connectivity Studies

Keywords

Computer scienceArtificial intelligenceMachine learningEpileptic seizurePattern recognition (psychology)EpilepsyPsychologyNeuroscience

DynamoSort: Using machine learning approaches for the automatic classification of seizure dynamotypes

FAIR Checklist

Authors (9)

Funding (3 grants)

Impact

Open Access

Topics