A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure. | 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/Alvaro_Eduardo_Daza-Chica>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Ernesto_Guevara-Navarro>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Gonzalo_A._Ruz>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Harold_Brayan_Arteaga-Arteaga>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Maria_Alejandra_Pati%E2%88%9A%C4%AAo-Claro>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Mario_Alejandro_Bravo-Ortiz>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Reinel_Tabares-Soto>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Sergio_Alejandro_Holguin-Garcia>
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dcterms:issued	2024 (xsd:gYear)
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rdfs:label	A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure. (xsd:string)
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dc:title	A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure. (xsd:string)
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swrc:volume	24 (xsd:string)