Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks. | 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/Carlos_Eduardo_Thomaz>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Gabriel_de_Almeida_S%E2%88%9A%C2%B0_Coutrin>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Giselle_V._T._Silva>
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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Lucas_Pereira_Carlini>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Marina_Carvalho_de_Moraes_Barros>
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rdfs:label	Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks. (xsd:string)
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dc:title	Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks. (xsd:string)
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