{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T02:08:14Z","timestamp":1762999694643,"version":"3.37.3"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF Award","doi-asserted-by":"publisher","award":["1835690"],"award-info":[{"award-number":["1835690"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"DOE Award","award":["DE-SC0019303"],"award-info":[{"award-number":["DE-SC0019303"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3085486","type":"journal-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T03:43:25Z","timestamp":1622691805000},"page":"80351-80359","source":"Crossref","is-referenced-by-count":8,"title":["Quantifying the Multi-Objective Cost of Uncertainty"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9328-1101","authenticated-orcid":false,"given":"Byung-Jun","family":"Yoon","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4347-2476","authenticated-orcid":false,"given":"Xiaoning","family":"Qian","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA"}]},{"given":"Edward R.","family":"Dougherty","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymben.2005.11.003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/aic.14385"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1021\/ie010649s"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.probengmech.2011.08.007"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2019.0780"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2019.1439"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/854\/1\/012036"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymben.2005.11.002"},{"key":"ref10","first-page":"3970","article-title":"Bayesian active learning by soft mean objective cost of uncertainty","author":"zhao","year":"2021","journal-title":"Proc 24th Int Conf Artif Intell Statist (AISTATS)"},{"key":"ref11","first-page":"1","article-title":"Uncertainty-aware active learning for optimal Bayesian classifier","author":"zhao","year":"2021","journal-title":"Proc 9th Int Conf Learn Represent (ICLR)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cgh.2010.02.008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-21936-3"},{"key":"ref14","article-title":"MOBES: A multiobjective evolution strategy for constrained optimization problems","volume":"25","author":"binh","year":"1997","journal-title":"Proc 3rd Int Conf Genetic Algorithms (Mendel)"},{"key":"ref15","article-title":"Multiple objective optimization with vector evaluated genetic algorithms","author":"schaffer","year":"1985","journal-title":"Proceedings of the First International Conference on Genetic Algorithms and Their Applications"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl210"},{"journal-title":"Probabilistic Boolean Networks The Modeling and Control of Gene Regulatory Networks","year":"2009","author":"shmulevich","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2008.928089"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6287987"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/10187.001.0001"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2017.2778715"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2886576"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-017-1893-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2014.2377733"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-55404-0_5"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-16-S13-S2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevMaterials.2.113803"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3071038"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70766-2_22"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.03.023"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2251336"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2011.107"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008306431147"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-cancerbio-030419-033541"},{"key":"ref24","article-title":"Fast exact computation of expected hypervolume improvement","author":"zhao","year":"2018","journal-title":"arXiv 1812 07692"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-013-0118-2"},{"key":"ref26","first-page":"74","article-title":"Scalarized and Pareto knowledge gradient for multi-objective multi-armed bandits","volume":"1","author":"yahyaa","year":"2014","journal-title":"Proc 6th Int Conf Agents Artif Intell (ICAART)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.1080.0314"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/9312710\/9445102-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09445102.pdf?arnumber=9445102","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:47:49Z","timestamp":1662670069000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9445102\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3085486","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2021]]}}}