Matches in SemOpenAlex for { <https://semopenalex.org/work/W4206471146> ?p ?o ?g. }
Showing items 1 to 54 of
54
with 100 items per page.
- W4206471146 abstract "Mining Web data to create AI-usable datasets, is still non-trivial. Unfortunately, despite the free data access, the formation of a dataset useful for machine learning applications cannot rely solely on a data mining phase. For any given query, the retrieved sample may include duplicated, misclassified or completely irrelevant content. The consequence of not “cleaning” those datasets is to end up with faulty, noisy and imbalanced datasets. Thus, curation is necessary, to tackle the variable degrees of inconsistency found on the retrieved samples. This paper suggests a pipeline consisting of state-of-the-art and off-the-shelf methods for curating an image dataset retrieved from the Web. As a case study, the pipeline is applied on expanding food datasets with currently uncategorized Greek dishes, leveraging information found in a specialized ontology, aiming at increasing the accuracy in food recognition applications." @default.
- W4206471146 created "2022-01-26" @default.
- W4206471146 creator A5016380733 @default.
- W4206471146 creator A5041687698 @default.
- W4206471146 creator A5056689376 @default.
- W4206471146 creator A5058515747 @default.
- W4206471146 creator A5069240991 @default.
- W4206471146 date "2021-08-24" @default.
- W4206471146 modified "2023-10-16" @default.
- W4206471146 title "Web acquired image datasets need curation: an examplar pipeline evaluated on Greek food images" @default.
- W4206471146 doi "https://doi.org/10.1109/ist50367.2021.9651419" @default.
- W4206471146 hasPublicationYear "2021" @default.
- W4206471146 type Work @default.
- W4206471146 citedByCount "0" @default.
- W4206471146 crossrefType "proceedings-article" @default.
- W4206471146 hasAuthorship W4206471146A5016380733 @default.
- W4206471146 hasAuthorship W4206471146A5041687698 @default.
- W4206471146 hasAuthorship W4206471146A5056689376 @default.
- W4206471146 hasAuthorship W4206471146A5058515747 @default.
- W4206471146 hasAuthorship W4206471146A5069240991 @default.
- W4206471146 hasBestOaLocation W42064711462 @default.
- W4206471146 hasConcept C118643609 @default.
- W4206471146 hasConcept C136764020 @default.
- W4206471146 hasConcept C154945302 @default.
- W4206471146 hasConcept C199360897 @default.
- W4206471146 hasConcept C23123220 @default.
- W4206471146 hasConcept C41008148 @default.
- W4206471146 hasConcept C43521106 @default.
- W4206471146 hasConcept C91632574 @default.
- W4206471146 hasConceptScore W4206471146C118643609 @default.
- W4206471146 hasConceptScore W4206471146C136764020 @default.
- W4206471146 hasConceptScore W4206471146C154945302 @default.
- W4206471146 hasConceptScore W4206471146C199360897 @default.
- W4206471146 hasConceptScore W4206471146C23123220 @default.
- W4206471146 hasConceptScore W4206471146C41008148 @default.
- W4206471146 hasConceptScore W4206471146C43521106 @default.
- W4206471146 hasConceptScore W4206471146C91632574 @default.
- W4206471146 hasLocation W42064711461 @default.
- W4206471146 hasLocation W42064711462 @default.
- W4206471146 hasOpenAccess W4206471146 @default.
- W4206471146 hasPrimaryLocation W42064711461 @default.
- W4206471146 hasRelatedWork W1581660190 @default.
- W4206471146 hasRelatedWork W1974158785 @default.
- W4206471146 hasRelatedWork W1975174578 @default.
- W4206471146 hasRelatedWork W2105361480 @default.
- W4206471146 hasRelatedWork W2347278957 @default.
- W4206471146 hasRelatedWork W2376314740 @default.
- W4206471146 hasRelatedWork W2382183255 @default.
- W4206471146 hasRelatedWork W2393185060 @default.
- W4206471146 hasRelatedWork W2477087992 @default.
- W4206471146 hasRelatedWork W4226117346 @default.
- W4206471146 isParatext "false" @default.
- W4206471146 isRetracted "false" @default.
- W4206471146 workType "article" @default.