Considering various aspects of models’ quality in the ML pipeline - application in the logistics sector

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Bibliographic Details
Main Authors: Eyad Kannout, Michał Grodzki, Marek Grzegorowski
Format: Article
Language:English
Published: Polish Information Processing Society 2022-09-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_30/drp/pdf/296.pdf
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author Eyad Kannout
Michał Grodzki
Marek Grzegorowski
author_facet Eyad Kannout
Michał Grodzki
Marek Grzegorowski
author_sort Eyad Kannout
collection DOAJ
format Article
id doaj-art-1fd6d6f548064d2589cc41b11d370d8e
institution Kabale University
issn 2300-5963
language English
publishDate 2022-09-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-1fd6d6f548064d2589cc41b11d370d8e2025-08-20T03:51:29ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632022-09-013040341210.15439/2022F296Considering various aspects of models’ quality in the ML pipeline - application in the logistics sectorEyad KannoutMichał GrodzkiMarek Grzegorowskihttps://annals-csis.org/Volume_30/drp/pdf/296.pdf
spellingShingle Eyad Kannout
Michał Grodzki
Marek Grzegorowski
Considering various aspects of models’ quality in the ML pipeline - application in the logistics sector
Annals of computer science and information systems
title Considering various aspects of models’ quality in the ML pipeline - application in the logistics sector
title_full Considering various aspects of models’ quality in the ML pipeline - application in the logistics sector
title_fullStr Considering various aspects of models’ quality in the ML pipeline - application in the logistics sector
title_full_unstemmed Considering various aspects of models’ quality in the ML pipeline - application in the logistics sector
title_short Considering various aspects of models’ quality in the ML pipeline - application in the logistics sector
title_sort considering various aspects of models quality in the ml pipeline application in the logistics sector
url https://annals-csis.org/Volume_30/drp/pdf/296.pdf
work_keys_str_mv AT eyadkannout consideringvariousaspectsofmodelsqualityinthemlpipelineapplicationinthelogisticssector
AT michałgrodzki consideringvariousaspectsofmodelsqualityinthemlpipelineapplicationinthelogisticssector
AT marekgrzegorowski consideringvariousaspectsofmodelsqualityinthemlpipelineapplicationinthelogisticssector