{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T23:55:55Z","timestamp":1782950155425,"version":"3.54.5"},"reference-count":54,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1109\/cidm.2014.7008150","type":"proceedings-article","created":{"date-parts":[[2015,1,20]],"date-time":"2015-01-20T02:45:11Z","timestamp":1421721911000},"page":"71-77","source":"Crossref","is-referenced-by-count":15,"title":["Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems"],"prefix":"10.1109","author":[{"given":"Thomas","family":"Villmann","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marika","family":"Kaden","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mandy","family":"Lange","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Sturmer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wieland","family":"Hermann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Statistical quality measures and ROC-optimization by learning vector quantization classifiers","author":"biehl","year":"2014","journal-title":"Proceedings of the 46th Workshop on Statistical Computing (Ulm\/Reisensburg 2014) ser Ulmer Informatik-Berichte H Kestler M Schmid L Lausser and J Kraus Eds University Ulm"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0059401"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38679-4_35"},{"key":"ref32","first-page":"447","article-title":"Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors","author":"biehl","year":"2012","journal-title":"Proc of European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning (ESANN'2012) M Verleysen Ed Louvain-La-Neuve"},{"key":"ref31","first-page":"423","article-title":"Generalized learning vector quantization","author":"sato","year":"1996","journal-title":"Advances in Neural Information Processing Systems 8 Proceedings of the 1995 Conference D S Touretzky M C Mozer and M E Hasselmo Eds"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12084-3_9"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40994-3_29"},{"key":"ref36","first-page":"47","article-title":"Optimization of general statistical accuracy measures for classification based on learning vector quantization","author":"kaden","year":"2014","journal-title":"Proc of European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning (ESANN‘2014) M Verleysen Ed"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-05747-6"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0092209"},{"key":"ref28","author":"duda","year":"1973","journal-title":"Pattern Classification and Scene Analysis"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-21606-5","author":"hastie","year":"2001","journal-title":"The Elements of Statistical Learning"},{"key":"ref2","first-page":"1263","article-title":"Learning from imbalanced data","volume":"29","author":"he","year":"2009","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref1","article-title":"One-class classification - Concept-learning in the absence of counter-examples","author":"tax","year":"2001","journal-title":"Delft University of Technology"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015366"},{"key":"ref22","article-title":"Learning vector quantization for pattern recognition","author":"kohonen","year":"1986","journal-title":"Helsinki University of Technology Espoo Finland Report TKK-F-A601"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-97610-0","volume":"30","author":"kohonen","year":"1995","journal-title":"Self-Organizing Maps ser Springer Series in Information Sciences"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-42042-9_3"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2478\/fcds-2014-0006"},{"key":"ref26","first-page":"23","article-title":"ROC-optimization and statistical quality measures in learning vector quantization clas-sifiers","volume":"8","author":"biehl","year":"2014","journal-title":"Machine Learning Reports"},{"key":"ref25","first-page":"1","article-title":"Median variants of LVQ for optimization of statistical quality measures for classification of dissimilarity data","volume":"8","author":"nebel","year":"2014","journal-title":"Machine Learning Reports"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1055\/s-2007-986233"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-002-0756-7"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.11.048"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2009.11-08-908"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(02)00079-5"},{"key":"ref10","first-page":"188","article-title":"A survey of recent trends in one class classi-fication","volume":"6206","author":"khan","year":"0","journal-title":"Artificial Intelligence and Cognitive Science - Proceedings of the 20th Irish Conference 2009 selected papers ser LNCS L Coyle and J Freyne Eds"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/cjs.5550340410"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.2307\/3001968"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.015"},{"key":"ref13","article-title":"Probabilistic neural networks for chemical sensor array pattern recognition: Comparison studies, improvements and automated outlier rejection","author":"shaffer","year":"1998","journal-title":"Naval Research Laboratory Washington DC Tech Rep NRL\/FR\/6110-98-9879"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38679-4_37"},{"key":"ref15","article-title":"An exact algorithm for F-measure maximization","author":"dembczyriski","year":"2011","journal-title":"Proceedings of the Conference on Neural Information Processing Systems (NIPS)"},{"key":"ref16","author":"scholkopf","year":"2002","journal-title":"Learning with kernels"},{"key":"ref17","first-page":"377","article-title":"AUC maximizing support vector learning","author":"brefeld","year":"2005","journal-title":"Proc ICML 2005 Workshop ROC Anal Mach Learning"},{"key":"ref18","first-page":"71","article-title":"Optimizing area under roc curve with SVMs","author":"rakotomamonjy","year":"2004","journal-title":"Proceedings of the Workshop on ROC Analysis in Artificial Intelligence Hamburg"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277790"},{"key":"ref4","author":"rijsbergen","year":"1979","journal-title":"Information Retrieval 2nd Ed"},{"key":"ref3","first-page":"77","article-title":"Attention based classification learning in GLVQ and asymmetric classification error assessment","volume":"295","author":"kaden","year":"2014","journal-title":"Advances in Self-Organizing Maps and Learning Vector Quantization Proceedings of 10th International Workshop WSOM 2014 Mittweida ser Advances in Intelligent Systems and Computing T Villmann F -M Schleif M Kaden and M Lange Eds"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143874"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00142-2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.941"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s00115-003-1564-8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.50"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1159\/000062992"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.214"},{"key":"ref48","first-page":"241","article-title":"Different patterns of brain glucose consumption in Wilsons disease","volume":"19","author":"barthel","year":"2001","journal-title":"Z Gastroenterologie"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s100720300002"},{"key":"ref42","first-page":"848","article-title":"Optimizing classifier performance via approximation to the Wilcoxon-Mann-Witney statistics","author":"yan","year":"2003","journal-title":"Proceedings of the 20th International Conference on Machine Learning"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177730491"},{"key":"ref44","first-page":"123","article-title":"Learning to rank by maximizing AUC with linear programming","author":"ataman","year":"2006","journal-title":"in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN)"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1007\/978-3-540-74976-9_8","article-title":"Efficient AUC optimization for classification","volume":"4702","author":"calders","year":"2007","journal-title":"Knowledge Discovery in Databases PKDD 2007 ser LNCS J Kok J Koronacki R L de Mantaras S Matwin D Mladenic and A Skowron Eds"}],"event":{"name":"2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)","location":"Orlando, FL, USA","start":{"date-parts":[[2014,12,9]]},"end":{"date-parts":[[2014,12,12]]}},"container-title":["2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7000188\/7008136\/07008150.pdf?arnumber=7008150","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T03:54:54Z","timestamp":1498190094000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7008150\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/cidm.2014.7008150","relation":{},"subject":[],"published":{"date-parts":[[2014,12]]}}}