Publication:
Vertex reconstruction of neutrino interactions using deep learning
Vertex reconstruction of neutrino interactions using deep learning
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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