EL REPOSITORIO SE ENCUENTRA EN MARCHA BLANCA

 

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

dc.contributor.advisorPEZOA, RAQUEL
dc.contributor.authorRODRIGUEZ MORA, JOHN IGNACIO
dc.contributor.departmentUniversidad Técnica Federico Santa María. Departamento de Informática
dc.contributor.otherCARQUIN, EDSON
dc.coverage.spatialCasa Central Valparaíso
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.rightsinfo: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

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
m19255998-7.pdf
Size:
4.13 MB
Format:
Adobe Portable Document Format