{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:07:40Z","timestamp":1740100060661,"version":"3.37.3"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,17]],"date-time":"2021-05-17T00:00:00Z","timestamp":1621209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,17]],"date-time":"2021-05-17T00:00:00Z","timestamp":1621209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,17]],"date-time":"2021-05-17T00:00:00Z","timestamp":1621209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100015733","name":"Carel Industries SpA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015733","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,17]]},"DOI":"10.1109\/i2mtc50364.2021.9459829","type":"proceedings-article","created":{"date-parts":[[2021,6,28]],"date-time":"2021-06-28T22:17:46Z","timestamp":1624918666000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Cost-Sensitive Fault Identification in Predictive Maintenance Applications: a Case Study"],"prefix":"10.1109","author":[{"given":"Roberto","family":"Bodo","sequence":"first","affiliation":[]},{"given":"Matteo","family":"Bertocco","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Bianchi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1007\/s00170-014-6341-2"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1016\/j.ejor.2019.09.047"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1016\/j.eswa.2009.12.056"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1016\/j.eswa.2011.09.071"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/ICSMC.2011.6084055"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1016\/j.patrec.2005.10.012"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1016\/j.eswa.2005.04.030"},{"key":"ref17","first-page":"101","article-title":"In defense of one-vs-all classification","volume":"5","author":"rifkin","year":"2004","journal-title":"J Mach Learn Res"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1186\/s13637-015-0028-3"},{"key":"ref19","article-title":"Cost-sensitive learning and the class imbalance problem","author":"ling","year":"2010","journal-title":"Encyclopedia of Machine Learning"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/S0893-6080(05)80023-1","article-title":"Stacked generalization","volume":"5","author":"wolpert","year":"1992","journal-title":"Neural Networks"},{"key":"ref4","first-page":"29","author":"ghosh","year":"2006","journal-title":"Bayesian Inference and Decision Theory"},{"key":"ref27","first-page":"1","author":"mcknight","year":"2010","journal-title":"Mann-Whitney U test"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/MetroInd4.0IoT48571.2020.9138294"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/INISTA.2017.8001122"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1007\/s10489-012-0388-2"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1142\/SMPAI"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1016\/j.ress.2013.02.029"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1016\/S0377-2217(01)00197-7"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/TIE.2015.2417501"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1016\/j.jmsy.2015.01.002"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/EMR.2019.2958037"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/TIE.2016.2591902"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1145\/1368088.1368114"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/ICMLA.2013.68"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1007\/978-3-642-29044-2"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1023\/A:1014091514039","article-title":"Metacost: A general method for making classifiers cost-sensitive","author":"domingos","year":"2002","journal-title":"Proc ACM SIGKDD Int Conf Knowledge Discovery and Data Mining"},{"key":"ref26","first-page":"52","author":"anderson","year":"2011","journal-title":"Anderson- Darling Goodness-of-Fit Test"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1145\/2939672.2939785"}],"event":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","start":{"date-parts":[[2021,5,17]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2021,5,20]]}},"container-title":["2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9459717\/9459787\/09459829.pdf?arnumber=9459829","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:42:55Z","timestamp":1652197375000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9459829\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,17]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/i2mtc50364.2021.9459829","relation":{},"subject":[],"published":{"date-parts":[[2021,5,17]]}}}