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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/corr/abs-1903-05082>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Michela_Paganini>
foaf:homepage <http://arxiv.org/abs/1903.05082>
dc:identifier DBLP journals/corr/abs-1903-05082 (xsd:string)
dcterms:issued 2019 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/corr>
rdfs:label Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Michela_Paganini>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/corr/abs-1903-05082/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/corr/abs-1903-05082>
rdfs:seeAlso <http://arxiv.org/abs/1903.05082>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/corr/corr1903.html#abs-1903-05082>
dc:title Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume abs/1903.05082 (xsd:string)