{"id":588,"date":"2025-05-23T11:37:42","date_gmt":"2025-05-23T09:37:42","guid":{"rendered":"https:\/\/www.ibspan.waw.pl\/~explainme\/?p=588"},"modified":"2025-07-19T12:18:28","modified_gmt":"2025-07-19T10:18:28","slug":"outstanding-student-paper-award","status":"publish","type":"post","link":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/2025\/05\/23\/outstanding-student-paper-award\/","title":{"rendered":"Outstanding Student Paper Award"},"content":{"rendered":"\n<p>So proud that our PhD Researcher Marcin got an &#8222;Outstanding Student Paper Award&#8221; for the article entitled &#8222;Fuzzy Weighted Shapley Values based on Nearest Neighbour Classification&#8221;, which was presented at the 16th European Symposium on Computational Intelligence and Mathematics (ESCIM 2025), held in A Coru\u00f1a, Spain. (<a href=\"https:\/\/escim2025.uca.es\/\">ESCIM 2025 | 16th European Symposium on Computational Intelligence and Mathematics (ESCIM 2025). A Coru\u00f1a (Spain), from May 18th to 21st, 2025<\/a>)<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/www.ibspan.waw.pl\/~explainme\/wp-content\/uploads\/2025\/07\/marcin6-1024x768.jpg\" alt=\"\" class=\"wp-image-589\" srcset=\"https:\/\/www.ibspan.waw.pl\/~explainme\/wp-content\/uploads\/2025\/07\/marcin6-1024x768.jpg 1024w, https:\/\/www.ibspan.waw.pl\/~explainme\/wp-content\/uploads\/2025\/07\/marcin6-300x225.jpg 300w, https:\/\/www.ibspan.waw.pl\/~explainme\/wp-content\/uploads\/2025\/07\/marcin6-768x576.jpg 768w, https:\/\/www.ibspan.waw.pl\/~explainme\/wp-content\/uploads\/2025\/07\/marcin6-1536x1152.jpg 1536w, https:\/\/www.ibspan.waw.pl\/~explainme\/wp-content\/uploads\/2025\/07\/marcin6.jpg 1600w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Congrats, Marcin!!!<br><br>In this study, we propose a novel modification of the Exact Shapley Values based on Nearest Neighbor Classification method that incorporates fuzzy logic to better account for uncertainty in datasets. The modification introduces a fuzzy weight vector computed using the Fuzzy K-nearest neighbour algorithm, which improves the computation of Shapley values for pseudo-labeled instances. The method was validated on a real-world pilot study of 654 patients diagnosed with acute coronary syndrome. In the dataset used, one of the problems encountered in clinical practice, data uncertainty, emerged. The results show that the K-FVSNN method achieves competitive performance and maintains robust results even with up to 90%<br>missing labels in the training set. These results highlight the potential of K-FVSNN for handling uncertain data in medical applications. Future work will explore its application to other datasets and refine the weight vector to improve generalizability.<br><br>Many thanks to our collaborators Pawe\u0142 Burchardt, Janusz Rze\u017aniczak and Jan Budzianowski from the Department of Cardiology, J. Stru\u015b Hospital, 61-285 Pozna\u0144, Department of Hypertension, Angiology and Internal Medicine, Pozna\u0144 University of Medical Sciences, 61-848 Pozna\u0144, and Nowa S\u00f3l Multidisciplinary Hospital, 67100 Nowa S\u00f3l.<\/p>\n\n\n\n<p>Article is available <a href=\"https:\/\/www.researchgate.net\/profile\/Daiwei-Li\/publication\/332432499_A_Weighted_Fuzzy_Rough_Nearest_Neighbor_Classification_Algorithm_Based_on_Multiple_Interpolation_and_Similarity_Attribute_Analysis\/links\/5dc7e6cc92851c81803f5f66\/A-Weighted-Fuzzy-Rough-Nearest-Neighbor-Classification-Algorithm-Based-on-Multiple-Interpolation-and-Similarity-Attribute-Analysis.pdf?origin=publicationDetail&amp;_sg%5B0%5D=ilkg1L-bPF1QrWRr2R2jSkc1eERya6VriOVac4pA_TOzEOI2rpxilSs47NKjJRzKMNzK3_lprapMDIXVB75A7g.zsTU-PNPKW6xXoscFEsz6QiIYhl-fIa0ntntAuMnjHJQ7Jugg-CIDet_ssgtZVYqAxSaFUWkB0jSkWhiSRkD7w&amp;_sg%5B1%5D=hIBbycIzUf63ilu0DOWQAX8TcRhYdQl4eLHhYqBs1okxJnWU0tyJCYIVa-BdXHg6f_WmR6xbr1EG4Gn5Av6NGNLTvEdFC7js-GIyRSsVvmgg.zsTU-PNPKW6xXoscFEsz6QiIYhl-fIa0ntntAuMnjHJQ7Jugg-CIDet_ssgtZVYqAxSaFUWkB0jSkWhiSRkD7w&amp;_iepl=&amp;_rtd=eyJjb250ZW50SW50ZW50IjoibWFpbkl0ZW0ifQ%3D%3D&amp;_tp=eyJjb250ZXh0Ijp7ImZpcnN0UGFnZSI6InB1YmxpY2F0aW9uIiwicGFnZSI6InB1YmxpY2F0aW9uIiwicG9zaXRpb24iOiJwYWdlSGVhZGVyIn19\" data-type=\"link\" data-id=\"https:\/\/www.researchgate.net\/profile\/Daiwei-Li\/publication\/332432499_A_Weighted_Fuzzy_Rough_Nearest_Neighbor_Classification_Algorithm_Based_on_Multiple_Interpolation_and_Similarity_Attribute_Analysis\/links\/5dc7e6cc92851c81803f5f66\/A-Weighted-Fuzzy-Rough-Nearest-Neighbor-Classification-Algorithm-Based-on-Multiple-Interpolation-and-Similarity-Attribute-Analysis.pdf?origin=publicationDetail&amp;_sg%5B0%5D=ilkg1L-bPF1QrWRr2R2jSkc1eERya6VriOVac4pA_TOzEOI2rpxilSs47NKjJRzKMNzK3_lprapMDIXVB75A7g.zsTU-PNPKW6xXoscFEsz6QiIYhl-fIa0ntntAuMnjHJQ7Jugg-CIDet_ssgtZVYqAxSaFUWkB0jSkWhiSRkD7w&amp;_sg%5B1%5D=hIBbycIzUf63ilu0DOWQAX8TcRhYdQl4eLHhYqBs1okxJnWU0tyJCYIVa-BdXHg6f_WmR6xbr1EG4Gn5Av6NGNLTvEdFC7js-GIyRSsVvmgg.zsTU-PNPKW6xXoscFEsz6QiIYhl-fIa0ntntAuMnjHJQ7Jugg-CIDet_ssgtZVYqAxSaFUWkB0jSkWhiSRkD7w&amp;_iepl=&amp;_rtd=eyJjb250ZW50SW50ZW50IjoibWFpbkl0ZW0ifQ%3D%3D&amp;_tp=eyJjb250ZXh0Ijp7ImZpcnN0UGFnZSI6InB1YmxpY2F0aW9uIiwicGFnZSI6InB1YmxpY2F0aW9uIiwicG9zaXRpb24iOiJwYWdlSGVhZGVyIn19\">HERE<\/a>.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>So proud that our PhD Researcher Marcin got an &#8222;Outstanding Student Paper Award&#8221; for the article entitled &#8222;Fuzzy Weighted Shapley&#8230;<\/p>\n","protected":false},"author":5,"featured_media":589,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[15],"tags":[],"class_list":["post-588","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/posts\/588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/comments?post=588"}],"version-history":[{"count":2,"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/posts\/588\/revisions"}],"predecessor-version":[{"id":595,"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/posts\/588\/revisions\/595"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/media\/589"}],"wp:attachment":[{"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/media?parent=588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/categories?post=588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ibspan.waw.pl\/~explainme\/index.php\/wp-json\/wp\/v2\/tags?post=588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}