Leveraging the Transformer Architecture for Anomaly Detection on Multivariate Time Series Data

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dc.contributor.advisordr. Pileggi TNO, Paolo Monitoring & Control
dc.contributor.advisorDr.Guclu, Umut
dc.contributor.advisorDr. Gucluturk, Yagmur
dc.contributor.authorGrauw, Max Jacobus Johannes de
dc.date.issued2020-08-01
dc.description.abstractnot availableen_US
dc.embargo.lift10000-01-01
dc.embargo.typePermanent embargoen_US
dc.identifier.urihttps://theses.ubn.ru.nl/handle/123456789/10625
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationMaster Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeMasteren_US
dc.titleLeveraging the Transformer Architecture for Anomaly Detection on Multivariate Time Series Dataen_US
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