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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/apin/HeidrichTPSSMH23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Benedikt_Heidrich>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Kai_Schmieder>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Kaleb_Phipps>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Marian_Turowski>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ralf_Mikut>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Veit_Hagenmeyer>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Wolfgang_S%E2%88%9A%C4%BE%E2%88%9A%C3%BC>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2Fs10489-022-03742-7>
foaf:homepage <https://doi.org/10.1007/s10489-022-03742-7>
dc:identifier DBLP journals/apin/HeidrichTPSSMH23 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2Fs10489-022-03742-7 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/apin>
rdfs:label Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Benedikt_Heidrich>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Kai_Schmieder>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Kaleb_Phipps>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Marian_Turowski>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ralf_Mikut>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Veit_Hagenmeyer>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Wolfgang_S%E2%88%9A%C4%BE%E2%88%9A%C3%BC>
swrc:month April (xsd:string)
swrc:number 8 (xsd:string)
swrc:pages 8826-8843 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/apin/HeidrichTPSSMH23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/apin/HeidrichTPSSMH23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/apin/apin53.html#HeidrichTPSSMH23>
rdfs:seeAlso <https://doi.org/10.1007/s10489-022-03742-7>
dc:title Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 53 (xsd:string)