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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/nips/KreilKJNGHMSH19>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Aleksandra_Gruca>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ali_Soleymani>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/David_Jonietz>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/David_P._Kreil>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Henry_Martin>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Michael_K._Kopp_0001>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Moritz_Neun>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Pedro_Herruzo>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Sepp_Hochreiter>
foaf:homepage <http://proceedings.mlr.press/v123/kreil20a.html>
dc:identifier DBLP conf/nips/KreilKJNGHMSH19 (xsd:string)
dcterms:issued 2019 (xsd:gYear)
rdfs:label The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Aleksandra_Gruca>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ali_Soleymani>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/David_Jonietz>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/David_P._Kreil>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Henry_Martin>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Michael_K._Kopp_0001>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Moritz_Neun>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Pedro_Herruzo>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Sepp_Hochreiter>
swrc:pages 232-241 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/nips/2019demo>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/nips/KreilKJNGHMSH19/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/nips/KreilKJNGHMSH19>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/nips/demo2020.html#KreilKJNGHMSH19>
rdfs:seeAlso <http://proceedings.mlr.press/v123/kreil20a.html>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/nips>
dc:title The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document