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Ensemble-based semi-supervised learning approaches for imbalanced splice site datasets

contributor authorStanescu, Ana
contributor authorCaragea, Doina
date accessioned2020-03-12T22:14:39Z
date available2020-03-12T22:14:39Z
date issued2014
identifier other6999196.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1076230?show=full
formatgeneral
languageEnglish
publisherIEEE
titleEnsemble-based semi-supervised learning approaches for imbalanced splice site datasets
typeConference Paper
contenttypeMetadata Only
identifier padid8212432
subject keywordsRaman spectra
subject keywordsn crystallisation
subject keywordsn erbium compounds
subject keywordsn glass ceramics
subject keywordsn photoluminescence
subject keywordsn tellurium compounds
subject keywordsn transmission electron microscopy
subject keywordsn zinc compounds
subject keywordsn TEM
subject keywordsn TeO<
subject keywordssub>
subject keywords2<
subject keywords/sub>
subject keywords-ZnO-ZnF<
subject keywordssub>
subject keywords2<
subject keywords/sub>
subject keywords-ErF<
subject keywordssub>
subject keywords3<
subject keywords/sub>
subject keywordsn active mid-IR emissions
subject keywordsn bio applications
subject keywordsn erbium sites
subject keywordsn glass host
subject keywordsn intense emission peaking
subject keywordsn localized crystallization
subject keywordsn microRaman analysis
subject keywordsn microphotoluminescence
subject keywordsn rare-earth
identifier doi10.1109/ICTON.2014.6876434
journal titleioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
filesize160914
citations0


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