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Vertex reconstruction of neutrino interactions using deep learning

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dc.contributor.author Terwilliger A.M. es_PE
dc.contributor.author Perdue G.N. es_PE
dc.contributor.author Isele D. es_PE
dc.contributor.author Patton R.M. es_PE
dc.contributor.author Young S.R. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2017
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1109/IJCNN.2017.7966131
dc.identifier.isbn urn:isbn:9781509061815
dc.identifier.scopus 2-s2.0-85031031977
dc.identifier.uri https://hdl.handle.net/20.500.12390/817
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof Proceedings of the International Joint Conference on Neural Networks
dc.rights info:eu-repo/semantics/openAccess
dc.subject Vertex reconstruction
dc.subject Elementary particles es_PE
dc.subject Neutrons es_PE
dc.subject Semantics es_PE
dc.subject Algorithm engineering es_PE
dc.subject Error prones es_PE
dc.subject Learning models es_PE
dc.subject Measurements of es_PE
dc.subject Neutrino interactions es_PE
dc.subject Semantic features es_PE
dc.subject Vertex locations es_PE
dc.subject Deep learning es_PE
dc.title Vertex reconstruction of neutrino interactions using deep learning
dc.type info:eu-repo/semantics/conferenceObject
dspace.entity.type Publication
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