{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:07:07Z","timestamp":1730297227320,"version":"3.28.0"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,11]],"date-time":"2020-10-11T00:00:00Z","timestamp":1602374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,11]],"date-time":"2020-10-11T00:00:00Z","timestamp":1602374400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,11]],"date-time":"2020-10-11T00:00:00Z","timestamp":1602374400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,11]]},"DOI":"10.1109\/smc42975.2020.9282858","type":"proceedings-article","created":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T21:44:48Z","timestamp":1607982288000},"page":"4073-4080","source":"Crossref","is-referenced-by-count":0,"title":["Distribution-based Regression Models for Semi-Bounded Data Analysis"],"prefix":"10.1109","author":[{"given":"Pantea","family":"Koochemeshkian","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nuha","family":"Zamzami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nizar","family":"Bouguila","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/34.993553"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2008.4813337"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/QRS.2017.41"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11265-7_7"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-7-1247-2014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1071\/WR99107"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.463"},{"year":"0","key":"ref36","article-title":"Utkface"},{"article-title":"Benchmarking machine learning technologies for software defect detection","year":"2015","author":"aleem","key":"ref35"},{"key":"ref34","volume":"222","author":"lyu","year":"1996","journal-title":"Handbook of Software Reliability Engineering"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(90)90118-D"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"2083","DOI":"10.1109\/TPAMI.2012.22","article-title":"A concatenational graph evolution aging model","volume":"34","author":"suo","year":"2012","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1214\/12-BA728"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5220\/0007708201580166"},{"key":"ref13","first-page":"77","article-title":"Modelling compositional data using dirichlet regression models","volume":"4","author":"hijazi","year":"2009","journal-title":"Journal of Applied Probability & Statistics"},{"key":"ref14","first-page":"156","article-title":"Statistical learning theory wiley","author":"vapnik","year":"1998","journal-title":"New York"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3389\/fendo.2017.00132"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1965.10480828"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.12.066"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1965.10480828"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1117\/12.179066"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s00265-010-1029-6"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.01.007"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.pan.a004873"},{"key":"ref3","volume":"344","author":"kaufman","year":"2009","journal-title":"Finding Groups in Data An Introduction to Cluster Analysis"},{"journal-title":"Statistical Methods for Categorical Data Analysis","year":"2008","author":"powers","key":"ref6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1177\/0049124104268644"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4236\/jsea.2013.63013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s00362-009-0291-z"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"bishop","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/03610910903391262"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1974.10489233"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2016.1154063"},{"year":"0","key":"ref46","article-title":"Hepatitis"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.08.063"},{"key":"ref45","first-page":"228","article-title":"Reducing the dimensionality of bag-of-words text representation used by learning algorithms","author":"martins","year":"2003","journal-title":"Proc of 3rd IASTED International Conference on Artificial Intelligence and Applications"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1201\/9781351077040","author":"fang","year":"2018","journal-title":"Symmetric Multivariate and Related Distributions"},{"year":"0","key":"ref47","article-title":"Hepatitis"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-012-1094-z"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2009.05.005"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/81.2.237"},{"journal-title":"IEEE Transactions on Software Engineering","article-title":"S. U. R. data set 1999","year":"1999","key":"ref41"},{"article-title":"Parameter estimation for the beta distribution","year":"2008","author":"owen","key":"ref23"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/s10044-010-0195-5","article-title":"Optimization of dependency and pruning usage in text classification","volume":"15","author":"\u00f6zg\u00fcr","year":"2012","journal-title":"Pattern Analysis and Applications"},{"key":"ref26","first-page":"13","article-title":"Improved maximum likelihood estimation in a new class of beta regression models","author":"vasconcellos","year":"2005","journal-title":"Brazilian Journal of Probability and Statistics"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2010.2103060"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"}],"event":{"name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start":{"date-parts":[[2020,10,11]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2020,10,14]]}},"container-title":["2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9282733\/9282811\/09282858.pdf?arnumber=9282858","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:09:15Z","timestamp":1656601755000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9282858\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,11]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/smc42975.2020.9282858","relation":{},"subject":[],"published":{"date-parts":[[2020,10,11]]}}}