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Lughofer, Edwin (2012) Hybrid active learning for reducing the annotation effort of operators in classification systems. Pattern Recognition, 45 (2). 884-896 doi:10.1016/j.patcog.2011.08.009

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Reference TypeJournal (article/letter/editorial)
TitleHybrid active learning for reducing the annotation effort of operators in classification systems
JournalPattern Recognition
AuthorsLughofer, EdwinAuthor
Year2012 (February)Volume45
Issue2
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2011.08.009Search in ResearchGate
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Mindat Ref. ID9365088Long-form Identifiermindat:1:5:9365088:3
GUID0
Full ReferenceLughofer, Edwin (2012) Hybrid active learning for reducing the annotation effort of operators in classification systems. Pattern Recognition, 45 (2). 884-896 doi:10.1016/j.patcog.2011.08.009
Plain TextLughofer, Edwin (2012) Hybrid active learning for reducing the annotation effort of operators in classification systems. Pattern Recognition, 45 (2). 884-896 doi:10.1016/j.patcog.2011.08.009
In(2012, February) Pattern Recognition Vol. 45 (2) Elsevier BV

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