Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Beth_Pineles>
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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Casimiro_Aday_Curbelo_Monta%E2%88%9A%C4%AAez>
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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Paul_Fergus>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Paulo_Lisboa>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1109%2FTETCI.2020.3020061>
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dcterms:issued	2021 (xsd:gYear)
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rdfs:label	Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Beth_Pineles>
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dc:title	Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. (xsd:string)
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