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Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/7116
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dc.contributor.authorMullick, Sankha Subhra-
dc.date.accessioned2021-02-08T11:22:25Z-
dc.date.available2021-02-08T11:22:25Z-
dc.date.issued2021-01-
dc.identifier.citation236p.en_US
dc.identifier.urihttp://hdl.handle.net/10263/7116-
dc.descriptionThis Thesis under the supervision of Dr. Swagatam Das.en_US
dc.language.isoenen_US
dc.publisherIndian Statistical Institute, Kolkataen_US
dc.relation.ispartofseriesISI Ph. D Thesis;TH491-
dc.subjectElectronicsen_US
dc.subjectImbalanced Learningen_US
dc.subjectNon-parametricClassifiersen_US
dc.subjectOversampling Strategiesen_US
dc.subjectPerformance Indicesen_US
dc.titleOn Class Imbalanced Learning:Design of Non-parametricClassifiers, Performance Indices, and Deep Oversampling Strategiesen_US
dc.typeThesisen_US
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