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Machine learning, waveform preprocessing and feature extraction methods for classification of acoustic startle waveforms

MethodsX(2020)10.1016/j.mex.2020.101166Source: DataRank Database

Machine learning, waveform preprocessing and feature extraction methods for classification of acoustic startle waveforms is a research paper published in MethodsX (2020). On theSindex it has a DataRank of 0. It has been cited 10 times.

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Open Access10 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: goldTopics (11)IDs (PubMed, PMC)

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Authors (4)

Chad S. Cooper,Ryan J. Longenecker ORCID,Joseph P. Walton ORCID,Timothy J. Fawcett

Live enrichment

PubMed:33354518 PMC:PMC7744771

Intramural NIH HHS

Grant: Z01 AG000954

National Institutes of Health

Grant: 1ZIAAG000954-08

Genetics Of Stroke

University of South Florida

National Institutes of Health

goldLicense: cc-by-nc-nd

publisherhttps://www.sciencedirect.com/science/article/pii/S2215016120303861/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2215016120303861?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2215016120303861?httpAccept=text/plain

repositoryhttps://doaj.org/article/ad0ee4713f1543fe9bcb4e8fa1104448

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7744771

Fields of Study

03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Machine LearningEnsemble ModelingAcoustic Startle ReflexWaveform PreprocessingScienceQMethod Article