Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/26119
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | ECTORS, Wim | - |
dc.contributor.author | REUMERS, Sofie | - |
dc.contributor.author | Won Do, Lee | - |
dc.contributor.author | KOCHAN, Bruno | - |
dc.contributor.author | JANSSENS, Davy | - |
dc.contributor.author | BELLEMANS, Tom | - |
dc.contributor.author | WETS, Geert | - |
dc.date.accessioned | 2018-06-20T13:26:06Z | - |
dc.date.available | 2018-06-20T13:26:06Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | 2018 TRB Annual Meeting, Washington, USA, 07-11/01/2018 | - |
dc.identifier.uri | http://hdl.handle.net/1942/26119 | - |
dc.language.iso | en | - |
dc.title | Optimizing copious activity type classes based on classification accuracy and entropy retention | - |
dc.type | Conference Material | - |
local.bibliographicCitation.conferencedate | 07-11/01/2018 | - |
local.bibliographicCitation.conferencename | 2018 TRB Annual Meeting | - |
local.bibliographicCitation.conferenceplace | Washington, USA | - |
local.bibliographicCitation.jcat | C2 | - |
local.type.refereed | Refereed | - |
local.type.specified | Poster | - |
local.uhasselt.uhpub | yes | - |
item.contributor | ECTORS, Wim | - |
item.contributor | REUMERS, Sofie | - |
item.contributor | Won Do, Lee | - |
item.contributor | KOCHAN, Bruno | - |
item.contributor | JANSSENS, Davy | - |
item.contributor | BELLEMANS, Tom | - |
item.contributor | WETS, Geert | - |
item.accessRights | Open Access | - |
item.fullcitation | ECTORS, Wim; REUMERS, Sofie; Won Do, Lee; KOCHAN, Bruno; JANSSENS, Davy; BELLEMANS, Tom & WETS, Geert (2018) Optimizing copious activity type classes based on classification accuracy and entropy retention. In: 2018 TRB Annual Meeting, Washington, USA, 07-11/01/2018. | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Poster_TRB_2018_Ectors_et_al.pdf | Conference material | 736.05 kB | Adobe PDF | View/Open |
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