Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/35176
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorBRUNS, Stephan
dc.contributor.authorVerboven, Laura
dc.date.accessioned2021-09-13T13:04:12Z-
dc.date.available2021-09-13T13:04:12Z-
dc.date.issued2021
dc.identifier.urihttp://hdl.handle.net/1942/35176-
dc.format.mimetypeApplication/pdf
dc.languagenl
dc.publisherUHasselt
dc.titleDeep learning for choice behavior analysis to assess the impact of urban features on perceived beauty and perceived safety
dc.typeTheses and Dissertations
local.bibliographicCitation.jcatT2
dc.description.notesmaster handelsingenieur-technologie in business
local.type.specifiedMaster thesis
item.fullcitationVerboven, Laura (2021) Deep learning for choice behavior analysis to assess the impact of urban features on perceived beauty and perceived safety.-
item.fulltextWith Fulltext-
item.contributorVerboven, Laura-
item.accessRightsOpen Access-
Appears in Collections:Master theses
Files in This Item:
File Description SizeFormat 
b71d9e0c-7d17-46fd-bf86-eb95b4a9c5d9.pdf1.69 MBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.