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Estimating latent demand of shared mobility through censored Gaussian Processes.

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Title: Estimating latent demand of shared mobility through censored Gaussian Processes.
Authors: Gammelli, Daniele1, daga@dtu.dk, Peled, Inon1, inonpe@dtu.dk, Rodrigues, Filipe1, rodr@dtu.dk, Pacino, Dario1, darpa@dtu.dk, Kurtaran, Haci A.2, Pereira, Francisco C.1, camara@dtu.dk
Source: Transportation Research Part C: Emerging Technologies; Nov2020, Vol. 120, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 146999151
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.trc.2020.102775
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      – Code: eng
        Text: English
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        PageCount: 1
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      – TitleFull: Estimating latent demand of shared mobility through censored Gaussian Processes.
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            NameFull: Gammelli, Daniele
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            NameFull: Peled, Inon
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            NameFull: Rodrigues, Filipe
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            NameFull: Pacino, Dario
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            NameFull: Kurtaran, Haci A.
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            NameFull: Pereira, Francisco C.
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            – D: 01
              M: 11
              Text: Nov2020
              Type: published
              Y: 2020
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              Value: 120
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