{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T15:46:34Z","timestamp":1768405594458,"version":"3.49.0"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,1,7]],"date-time":"2023-01-07T00:00:00Z","timestamp":1673049600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,7]],"date-time":"2023-01-07T00:00:00Z","timestamp":1673049600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Adv Data Anal Classif"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s11634-022-00533-3","type":"journal-article","created":{"date-parts":[[2023,1,7]],"date-time":"2023-01-07T13:20:26Z","timestamp":1673097626000},"page":"1057-1079","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Robust instance-dependent cost-sensitive classification"],"prefix":"10.1007","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3032-8678","authenticated-orcid":false,"given":"Simon","family":"De Vos","sequence":"first","affiliation":[]},{"given":"Toon","family":"Vanderschueren","sequence":"additional","affiliation":[]},{"given":"Tim","family":"Verdonck","sequence":"additional","affiliation":[]},{"given":"Wouter","family":"Verbeke","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,1,7]]},"reference":[{"key":"533_CR1","doi-asserted-by":"publisher","unstructured":"Bahnsen AC, Aouada D, Ottersten B (2014) Example-dependent costsensitive logistic regression for credit scoring. 2014 13th international conference on machine learning and applications, pp 263-269. https:\/\/doi.org\/10.1109\/ICMLA.2014.48","DOI":"10.1109\/ICMLA.2014.48"},{"issue":"19","key":"533_CR2","doi-asserted-by":"publisher","first-page":"6609","DOI":"10.1016\/j.eswa.2015.04.042","volume":"42","author":"AC Bahnsen","year":"2015","unstructured":"Bahnsen AC, Aouada D, Ottersten B (2015) Example-dependent costsensitive decision trees. Exp Sys Appl 42(19):6609\u20136619","journal-title":"Exp Sys Appl"},{"key":"533_CR3","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1016\/j.eswa.2015.12.030","volume":"51","author":"AC Bahnsen","year":"2016","unstructured":"Bahnsen AC, Aouada D, Stojanovic A, Ottersten B (2016) Feature engineering strategies for credit card fraud detection. Exp Sys Appl 51:134\u2013142","journal-title":"Exp Sys Appl"},{"issue":"494","key":"533_CR4","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1198\/jasa.2011.tm09774","volume":"106","author":"A Bergesio","year":"2011","unstructured":"Bergesio A, Yohai VJ (2011) Projection estimators for generalized linear models. J Am Stat Assoc 106(494):661\u2013671","journal-title":"J Am Stat Assoc"},{"key":"533_CR5","doi-asserted-by":"crossref","unstructured":"Bianco AM, Yohai VJ (1996) Robust estimation in the logistic regression model. Robust statistics, data analysis, and computer intensive methods, Springer, Berlin, p 17\u201334","DOI":"10.1007\/978-1-4612-2380-1_2"},{"issue":"3","key":"533_CR6","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1093\/biomet\/92.3.724","volume":"92","author":"HD Bondell","year":"2005","unstructured":"Bondell HD (2005) Minimum distance estimation for the logistic regression model. Biometrika 92(3):724\u2013731","journal-title":"Biometrika"},{"issue":"3","key":"533_CR7","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1016\/j.jspi.2007.01.004","volume":"138","author":"HD Bondell","year":"2008","unstructured":"Bondell HD (2008) A characteristic function approach to the biased sampling model, with application to robust logistic regression. J Stat Plann Infer 138(3):742\u2013755","journal-title":"J Stat Plann Infer"},{"key":"533_CR8","doi-asserted-by":"crossref","unstructured":"Brefeld U, Geibel P, Wysotzki F (2003) Support vector machines with example dependent costs. European conference on machine learning, p 23\u201334","DOI":"10.1007\/978-3-540-39857-8_5"},{"issue":"455","key":"533_CR9","doi-asserted-by":"publisher","first-page":"1022","DOI":"10.1198\/016214501753209004","volume":"96","author":"E Cantoni","year":"2001","unstructured":"Cantoni E, Ronchetti E (2001) Robust inference for generalized linear models. J Am Stat Assoc 96(455):1022\u20131030","journal-title":"J Am Stat Assoc"},{"issue":"3","key":"533_CR10","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1111\/j.2517-6161.1993.tb01934.x","volume":"55","author":"RJ Carroll","year":"1993","unstructured":"Carroll RJ, Pederson S (1993) On robustness in the logistic regression model. J Royal Stat Soci: Ser B (Methodol) 55(3):693\u2013706","journal-title":"J Royal Stat Soci: Ser B (Methodol)"},{"key":"533_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7687-1","volume-title":"Encyclopedia of machine learning and data mining","author":"GIW Claude Sammut","year":"2017","unstructured":"Claude Sammut GIW (2017) Encyclopedia of machine learning and data mining. Springer, US"},{"issue":"1\u20132","key":"533_CR12","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0167-9473(03)00042-2","volume":"44","author":"C Croux","year":"2003","unstructured":"Croux C, Haesbroeck G (2003) Implementing the bianco and yohai estimator for logistic regression. Comput Stat & Data Anal 44(1\u20132):273\u2013295","journal-title":"Comput Stat & Data Anal"},{"key":"533_CR13","first-page":"973","volume":"17","author":"C Elkan","year":"2001","unstructured":"Elkan C (2001) The foundations of cost-sensitive learning. Int Joint Conf Artif Intell 17:973\u2013978","journal-title":"Int Joint Conf Artif Intell"},{"key":"533_CR14","unstructured":"Fan W, Stolfo SJ, Zhang J, Chan PK (1999) Adacost: misclassification cost-sensitive boosting. Icml, Vol. 99, p 97\u2013105"},{"issue":"2","key":"533_CR15","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/s11749-015-0445-3","volume":"25","author":"A Ghosh","year":"2016","unstructured":"Ghosh A, Basu A (2016) Robust estimation in generalized linear models: the density power divergence approach. TEST 25(2):269\u2013290","journal-title":"TEST"},{"issue":"1","key":"533_CR16","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/j.ejor.2021.05.028","volume":"297","author":"S H\u00f6ppner","year":"2022","unstructured":"H\u00f6ppner S, Baesens B, Verbeke W, Verdonck T (2022) Instance-dependent cost-sensitive learning for detecting transfer fraud. Eur J Operat Res 297(1):291\u2013300","journal-title":"Eur J Operat Res"},{"issue":"4","key":"533_CR17","doi-asserted-by":"publisher","first-page":"1497","DOI":"10.1016\/j.jspi.2010.11.015","volume":"141","author":"S Hosseinian","year":"2011","unstructured":"Hosseinian S, Morgenthaler S (2011) Robust binary regression. J Stat Plann Infer 141(4):1497\u20131509","journal-title":"J Stat Plann Infer"},{"key":"533_CR18","doi-asserted-by":"crossref","unstructured":"Huber PJ (1964) Robust estimation of a location parameter. Ann Math Stat, 35 (1), 73\u2013101. Retrieved from http:\/\/www.jstor.org\/stable\/2238020","DOI":"10.1214\/aoms\/1177703732"},{"key":"533_CR19","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1002\/9780470434697","volume-title":"Robust statistics","author":"PJ Huber","year":"2009","unstructured":"Huber PJ, Ronchetti E (2009) Robust statistics. Wiley, Hoboken, p 2"},{"issue":"406","key":"533_CR20","first-page":"460","volume":"84","author":"HR K\u00fcnsch","year":"1989","unstructured":"K\u00fcnsch HR, Stefanski LA, Carroll RJ (1989) Conditionally unbiased bounded-influence estimation in general regression models, with applications to generalized linear models. J Am Stat Assoc 84(406):460\u2013466","journal-title":"J Am Stat Assoc"},{"key":"533_CR21","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.ins.2019.05.027","volume":"557","author":"S Lessmann","year":"2021","unstructured":"Lessmann S, Haupt J, Coussement K, De Bock KW (2021) Targeting customers for profit: an ensemble learning framework to support marketing decision-making. Inf Sci 557:286\u2013301","journal-title":"Inf Sci"},{"key":"533_CR22","volume-title":"Robust statistics: theory and methods (with r)","author":"RA Maronna","year":"2019","unstructured":"Maronna RA, Martin RD, Yohai VJ, Salibi\u00e1n-Barrera M (2019) Robust statistics: theory and methods (with r). Wiley, Hobroken"},{"issue":"2","key":"533_CR23","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/s11634-021-00465-4","volume":"16","author":"GS Monti","year":"2021","unstructured":"Monti GS, Filzmoser P (2021) Robust logistic zero-sum regression for microbiome compositional data. Adv Data Anal Classif 16(2):301\u2013324","journal-title":"Adv Data Anal Classif"},{"issue":"4","key":"533_CR24","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1093\/biomet\/79.4.747","volume":"79","author":"S Morgenthaler","year":"1992","unstructured":"Morgenthaler S (1992) Least-absolute-deviations fits for generalized linear models. Biometrika 79(4):747\u2013754","journal-title":"Biometrika"},{"issue":"2","key":"533_CR25","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1080\/01605682.2020.1843975","volume":"73","author":"G Petrides","year":"2022","unstructured":"Petrides G, Moldovan D, Coenen L, Guns T, Verbeke W (2022) Costsensitive learning for profit-driven credit scoring. J Oper Res Soc 73(2):338\u2013350","journal-title":"J Oper Res Soc"},{"issue":"1","key":"533_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10618-021-00790-4","volume":"36","author":"G Petrides","year":"2022","unstructured":"Petrides G, Verbeke W (2022) Cost-sensitive ensemble learning: a unifying framework. Data Min Knowl Discov 36(1):1\u201328","journal-title":"Data Min Knowl Discov"},{"issue":"1","key":"533_CR27","first-page":"73","volume":"1","author":"PJ Rousseeuw","year":"2011","unstructured":"Rousseeuw PJ, Hubert M (2011) Robust statistics for outlier detection. Wiley Interdiscip: Rev Data Min Knowl Discov 1(1):73\u201379","journal-title":"Wiley Interdiscip: Rev Data Min Knowl Discov"},{"key":"533_CR28","doi-asserted-by":"publisher","DOI":"10.1002\/0471725382","volume-title":"Robust regression and outlier detection","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw PJ, Leroy AM (1987) Robust regression and outlier detection. Wiley, Hobroken"},{"issue":"15","key":"533_CR29","doi-asserted-by":"publisher","first-page":"5916","DOI":"10.1016\/j.eswa.2013.05.021","volume":"40","author":"Y Sahin","year":"2013","unstructured":"Sahin Y, Bulkan S, Duman E (2013) A cost-sensitive decision tree approach for fraud detection. Exp Sys Appl 40(15):5916\u20135923","journal-title":"Exp Sys Appl"},{"issue":"4","key":"533_CR30","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1007\/s11634-021-00436-9","volume":"15","author":"N \u0160tefelov\u00e1","year":"2021","unstructured":"\u0160tefelov\u00e1 N, Alfons A, Palarea-Albaladejo J, Filzmoser P, Hron K (2021) Robust regression with compositional covariates including cellwise outliers. Adv Data Anal Classif 15(4):869\u2013909","journal-title":"Adv Data Anal Classif"},{"key":"533_CR31","doi-asserted-by":"publisher","unstructured":"Thai-Nghe N, Gantner Z, Schmidt-Thieme L (2010) Cost-sensitive learning methods for imbalanced data. The 2010 international joint conference on neural networks (IJCNN) p 1\u20138.https:\/\/doi.org\/10.1109\/IJCNN.2010.5596486","DOI":"10.1109\/IJCNN.2010.5596486"},{"key":"533_CR32","unstructured":"ULB MLG (2018) Anonymized credit card transactions labeled as fraudulent or genuine. https:\/\/www.kaggle.com\/mlg-ulb\/creditcardfraud"},{"key":"533_CR33","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.jspi.2013.09.016","volume":"146","author":"M Valdora","year":"2014","unstructured":"Valdora M, Yohai VJ (2014) Robust estimators for generalized linear models. J Stat Plann Infer 146:31\u201348","journal-title":"J Stat Plann Infer"},{"key":"533_CR34","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/j.ins.2022.02.021","volume":"594","author":"T Vanderschueren","year":"2022","unstructured":"Vanderschueren T, Verdonck T, Baesens B, Verbeke W (2022) Predictthen- optimize or predict-and-optimize? an empirical evaluation of costsensitive learning strategies. Inf Sci 594:400\u2013415","journal-title":"Inf Sci"},{"key":"533_CR35","unstructured":"Verbeke W, Olaya D, Berrevoets J, Verboven S, Maldonado S (2020) The foundations of cost-sensitive causal classification. arXiv:2007.12582"},{"issue":"1","key":"533_CR36","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/s10618-008-0116-z","volume":"18","author":"C Whitrow","year":"2009","unstructured":"Whitrow C, Hand DJ, Juszczak P, Weston D, Adams NM (2009) Transaction aggregation as a strategy for credit card fraud detection. Data Min Knowl Discov 18(1):30\u201355","journal-title":"Data Min Knowl Discov"},{"key":"533_CR37","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.eswa.2019.06.009","volume":"135","author":"Y Zelenkov","year":"2019","unstructured":"Zelenkov Y (2019) Example-dependent cost-sensitive adaptive boosting. Exp Sys Appl 135:71\u201382","journal-title":"Exp Sys Appl"}],"container-title":["Advances in Data Analysis and Classification"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-022-00533-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11634-022-00533-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-022-00533-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T20:20:57Z","timestamp":1728678057000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11634-022-00533-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,7]]},"references-count":37,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["533"],"URL":"https:\/\/doi.org\/10.1007\/s11634-022-00533-3","relation":{},"ISSN":["1862-5347","1862-5355"],"issn-type":[{"value":"1862-5347","type":"print"},{"value":"1862-5355","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,7]]},"assertion":[{"value":"2 June 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 December 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 December 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 January 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}