The study of under- and over-sampling methods’ utility in analysis of highly imbalanced data on osteoporosis

Author:

Bach M.,Werner A.,Żywiec J.,Pluskiewicz W.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference74 articles.

1. Osteoporosis, Diseases & Disorders;Abramovitz,2011

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3. Class prediction for high-dimensional class-imbalanced data;Blagus;BMC Bioinform.,2010

4. Improved shrunken centroid classifiers for high-dimensional class-imbalanced data;Blagus;BMC Bioinform.,2013

5. SMOTE For high-dimensional class-imbalance data;Blagus;BMC Bioinformatics,2013

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