Thesis
DEEP LEARNING APPLIED IN THE CLASSIFICATION OF EVENTS GENERATED AT THE ATLAS EXPERIMENT

dc.contributor.departmentDepartamento de Informática
dc.contributor.guiaPezoa, Raquel
dc.contributor.otherCarquin, Edson
dc.coverage.spatialCampus Casa Central Valparaíso
dc.creatorRodriguez Mora, John Ignacio
dc.date.accessioned2024-09-25T14:58:13Z
dc.date.available2024-09-25T14:58:13Z
dc.date.issued2021-01
dc.description.degreeINGENIERO CIVIL INFORMÁTICO
dc.description.programDEPARTAMENTO DE INFORMÁTICA. INGENIERÍA CIVIL INFORMÁTICA
dc.identifier.barcode192559987UTFSM.pdf
dc.identifier.urihttps://repositorio.usm.cl/handle/123456789/7105
dc.identifier.urihttps://doi.org/10.71700/dspace-memorias/1223
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectCERN
dc.subjectATLAS
dc.subjectDI-HIGGS
dc.subjectDEEP LEARNING
dc.subjectEVENT CLASSIFICATION
dc.subjectIMBALANCE LEARNING
dc.titleDEEP LEARNING APPLIED IN THE CLASSIFICATION OF EVENTS GENERATED AT THE ATLAS EXPERIMENT
dc.typeTesis de Pregrado
dspace.entity.typeTesis

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