{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T17:52:41Z","timestamp":1775065961707,"version":"3.50.1"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2016,12,1]],"date-time":"2016-12-01T00:00:00Z","timestamp":1480550400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/tcyb.2015.2492920","type":"journal-article","created":{"date-parts":[[2015,10,30]],"date-time":"2015-10-30T19:10:22Z","timestamp":1446232222000},"page":"2899-2910","source":"Crossref","is-referenced-by-count":18,"title":["Creating Discriminative Models for Time Series Classification and Clustering by HMM Ensembles"],"prefix":"10.1109","volume":"46","author":[{"given":"Nazanin","family":"Asadi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdolreza","family":"Mirzaei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ehsan","family":"Haghshenas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344136"},{"key":"ref38","first-page":"152","article-title":"Applying the hidden Markov model methodology for unsupervised learning of temporal data","volume":"6","author":"li","year":"2002","journal-title":"Int J Knowledge-Based Intell Eng Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347119"},{"key":"ref32","first-page":"648","article-title":"Clustering sequences with hidden Markov models","author":"smyth","year":"1997","journal-title":"Advances in neural information processing systems"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/29.52701"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1989.266451"},{"key":"ref37","article-title":"A Bayesian approach to temporal data clustering using the hidden Markov model methodology","author":"li","year":"2000"},{"key":"ref36","first-page":"543","article-title":"A Bayesian approach to temporal data clustering using hidden Markov models","author":"li","year":"2000","journal-title":"Proc 7th Int Conf Machine Learning"},{"key":"ref35","first-page":"14","article-title":"Clustering sequence data using hidden Markov model representation","volume":"3695","author":"li","year":"1999","journal-title":"Proc SPIE Int Soc Optical Eng"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2000.906046"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.11.021"},{"key":"ref27","first-page":"3","article-title":"Time series clustering based on different width time window partition","volume":"33","author":"guo","year":"2007","journal-title":"Comput Eng"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"281","DOI":"10.3233\/IDA-2002-6307","article-title":"Matryoshka: A HMM based temporal data clustering methodology for modeling system dynamics","volume":"6","author":"li","year":"2002","journal-title":"Intell Data Anal"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9904-1967-11751-8"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177699147"},{"key":"ref20","article-title":"Ensemble learning for hidden Markov models","author":"mackay","year":"1997"},{"key":"ref22","first-page":"273","article-title":"Gesture classification using hidden Markov models and Viterbi path counting","author":"liu","year":"2003","journal-title":"Proc 7th Int Conf Digital Image Comput Tech Appl"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2002.1048264"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2280179"},{"key":"ref23","first-page":"83","article-title":"Improved ensemble training for hidden Markov models using random relative node permutations","author":"davis","year":"2003","journal-title":"In Proceedings of the Workshop on Digital Image Computing WDIC"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45065-3_8"},{"key":"ref25","first-page":"89","article-title":"Improved classification using hidden Markov averaging from multiple observation sequences","author":"davis","year":"2002","journal-title":"Proc Workshop Signal Process Appl (WOSPA)"},{"key":"ref50","author":"keogh","year":"2011","journal-title":"The UCR Time Series Classification\/Clustering"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972740.2"},{"key":"ref10","first-page":"114","article-title":"Multiple alignment using hidden Markov models","volume":"3","author":"eddy","year":"1995","journal-title":"Proc Int Conf Intell Syst Mol Biol"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2011.6084089"},{"key":"ref40","first-page":"11","article-title":"Hidden Markov model induction by Bayesian model merging","author":"stolcke","year":"1993","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2013.6890353"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1998.678085"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2012.2207104"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.08.017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2004.11.015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/78.823977"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1983.tb03114.x"},{"key":"ref19","author":"rabiner","year":"1993","journal-title":"Fundamentals of speech recognition"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177697196"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2140\/pjm.1968.27.211"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/5.18626"},{"key":"ref5","first-page":"1","article-title":"An inequality and associated maximization technique in statistical estimation for probabilistic functions of Markov processes","volume":"3","author":"baum","year":"1970","journal-title":"Inequalities"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/027836499801700204"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2240450"},{"key":"ref49","article-title":"Clustering by means of medoids","author":"kaufman","year":"1987"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2014.6974094"},{"key":"ref46","first-page":"519","article-title":"AUC: A statistically consistent and more discriminating measure than accuracy","volume":"3","author":"ling","year":"2003","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44886-1_25"},{"key":"ref48","article-title":"Well-trained PETs: Improving probability estimation trees","author":"provost","year":"2000"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-47887-6_12"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1986.1169179"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-70659-3_77"},{"key":"ref44","author":"murphy","year":"1998","journal-title":"Hidden Markov model toolbox for Matlab"},{"key":"ref43","first-page":"245","author":"li","year":"1999","journal-title":"Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/7744634\/07312941.pdf?arnumber=7312941","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:45:38Z","timestamp":1642005938000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7312941\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":51,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2015.2492920","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12]]}}}