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                    <article article-type="research-article">
                    <front>
                        <journal-meta>
                        <journal-id journal-id-type="publisher-id">ei</journal-id>
                        <journal-title>Electronic Imaging</journal-title>
                        <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub">2470-1173</issn>
                        <publisher>
                            <publisher-name>Society for Imaging Science and Technology</publisher-name>
                            <publisher-loc>IS&amp;T 7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
                        </publisher>
                        </journal-meta>
                        <article-meta>
                        <article-id pub-id-type="doi">10.2352/EI.2022.34.10.IPAS-191</article-id>
                        <article-id pub-id-type="publisher-id">IPAS-191</article-id>
                        <article-categories>
                            <subj-group>
                            <subject>Article</subject>
                            </subj-group>
                        </article-categories>
                        <title-group>
                            <article-title>Class specific biased extrapolation of images in latent space for imbalanced image classification</article-title>
                        </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Jeong</surname>
                                <given-names>Suhyeon </given-names>
                               </name> <xref ref-type="aff" rid="aff1author1"/></contrib> <aff id="aff1author1">Kyung Hee University, Republic of Korea</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Lee</surname>
                                <given-names>Seungkyu </given-names>
                               </name> <xref ref-type="aff" rid="aff1author2"/></contrib> <aff id="aff1author2">Kyung Hee University, Republic of Korea</aff></contrib-group><abstract>
                        <title>Abstract</title>
                        <p>In this work, we study the effectiveness of prior re-sampling approaches for imbalanced image classification. We propose to investigate inter-class and within-class characteristics and conduct class specific extrapolation re-sampling for optimal imbalanced learning.</p>
                        </abstract><pub-date>
                            <day>16</day>
                            <month>01</month>
                            <year>2022</year>
                            </pub-date><volume>34</volume>
                        <issue-acronym>IPAS</issue-acronym>
                        <issue>10</issue>
                        <fpage>191-1</fpage>
                        <lpage>191-5</lpage>
                        <permissions>
                             <copyright-statement>© 2022, Society for Imaging Science and Technology</copyright-statement>
                            <copyright-year>2022</copyright-year>
                        </permissions><kwd-group><kwd>image classification</kwd><kwd> imbalanced data</kwd><kwd> extrapolation</kwd></kwd-group></article-meta>
                    </front>
                    </article>