Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34465
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dc.contributor.advisorMalina , Robert-
dc.contributor.advisorLizin, Sebastien-
dc.contributor.advisorBruns, Stephan-
dc.contributor.authorMOKAS, Ilias-
dc.contributor.authorAthanasiadis, Ioannis-
dc.date.accessioned2021-07-15T06:57:22Z-
dc.date.available2021-07-15T06:57:22Z-
dc.date.issued2021-
dc.date.submitted2021-07-05T20:12:20Z-
dc.identifier.citation26th Annual Conference of the European Association of Environmental and Resource Economists, Berlin, 23/06/2017-25/06/2017-
dc.identifier.urihttp://hdl.handle.net/1942/34465-
dc.language.isoen-
dc.titlePrediction and Interpretation of People’s Preferences for Urban Space: A Deep Neural Network Informed Choice Modelling Approach-
dc.typeConference Material-
local.bibliographicCitation.conferencedate23/06/2017-25/06/2017-
local.bibliographicCitation.conferencename26th Annual Conference of the European Association of Environmental and Resource Economists-
local.bibliographicCitation.conferenceplaceBerlin-
local.bibliographicCitation.jcatC2-
local.type.refereedRefereed-
local.type.specifiedConference Presentation-
local.uhasselt.uhpubyes-
item.accessRightsOpen Access-
item.fullcitationMOKAS, Ilias & Athanasiadis, Ioannis (2021) Prediction and Interpretation of People’s Preferences for Urban Space: A Deep Neural Network Informed Choice Modelling Approach. In: 26th Annual Conference of the European Association of Environmental and Resource Economists, Berlin, 23/06/2017-25/06/2017.-
item.fulltextWith Fulltext-
item.contributorMOKAS, Ilias-
item.contributorAthanasiadis, Ioannis-
Appears in Collections:Research publications
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