Corrections to “Blending Query Strategy of Active Learning for Imbalanced Data”

In the above article <xref ref-type="bibr" rid="ref1">[1]</xref>, the following corrections are necessary. <list list-type="ordered"><list-item><label>1)</label><p>In Table 4, all notions of &#x201C;MC-Drop-B&#x201D; are...

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Bibliographic Details
Main Authors: Gwangsu Kim, Chang D. Yoo
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Online Access:https://ieeexplore.ieee.org/document/9932028/
Description
Summary:In the above article <xref ref-type="bibr" rid="ref1">[1]</xref>, the following corrections are necessary. <list list-type="ordered"><list-item><label>1)</label><p>In Table 4, all notions of &#x201C;MC-Drop-B&#x201D; are corrected to &#x201C;MC-Drop-BMP.&#x201D;</p></list-item><list-item><label>2)</label><p>&#x201C;Statistical significannces of all experiments are examined&#x201D; is corrected to &#x201C;Statistical significance of each experiments is examined.&#x201D;</p></list-item><list-item><label>3)</label><p>In Appendix II-D, &#x201C;Shapiro test&#x201D; is correct to &#x2018;Shapiro-Wilk test.&#x201D;</p></list-item> </list> In addition, we would like to add the following acknowledgment: <italic>The authors appreciate the constructive discussions with Jaewon Lee (M.S. of KAIST), and the cooperation with researchers working on the project [Development and Study of AI Technologies to Inexpensively Conform to Evolving Policy on Ethics].</italic>
ISSN:2169-3536