{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:32:16Z","timestamp":1767339136682},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"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":[[2019,6]]},"DOI":"10.1109\/qomex.2019.8743250","type":"proceedings-article","created":{"date-parts":[[2019,6,25]],"date-time":"2019-06-25T17:43:51Z","timestamp":1561484631000},"page":"1-6","source":"Crossref","is-referenced-by-count":4,"title":["Modeling Instantaneous Quality of Experience Using Machine Learning of Model Trees"],"prefix":"10.1109","author":[{"given":"Markus","family":"Fiedler","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Usha","family":"Chapala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sridhar","family":"Peteti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2017.7965689"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2768542"},{"journal-title":"Subjective video quality assessment methods for multimedia applications","year":"2008","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2014.6982310"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2312613"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ANTS.2016.7947804"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2729891"},{"key":"ref17","first-page":"343","article-title":"Learning with Continuous Classes","author":"quinlan","year":"1992","journal-title":"Proceedings of the 5th Australian Joint conference on Artificial Intelligence"},{"key":"ref18","article-title":"Induction of model trees for predicting continuous classes","author":"wang","year":"1997","journal-title":"Poster Papers of the 9th European Conference on Machine Learning"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/NOF.2017.8251212"},{"key":"ref4","first-page":"114","article-title":"Real-time anomalies monitoring for QoE indicators","author":"guyard","year":"2008","journal-title":"18th ITC Specialist Seminar on Quality of Experience"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2742601"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOMW.2013.6825154"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2790347"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2010.5501894"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s12243-009-0142-x"},{"year":"2014","key":"ref2","article-title":"Speech and multimedia Transmission Quality (STQ); Quality of Experience; A Monitoring Architecture"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2010.5430142"},{"key":"ref1","article-title":"Qualinet White Paper on Definitions of Quality of Experience","author":"le callet","year":"2013","journal-title":"European Network on Quality of Experience in Multimedia Systems and Services (COST Action IC 1003)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2017.7965687"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2161634"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/AINA.2018.00058"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CECNet.2012.6201751"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2012.6399003"},{"journal-title":"Online Appendix for Data Mining Practical Machine Learning Tools and Techniques","year":"2016","author":"frank","key":"ref25"}],"event":{"name":"2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)","start":{"date-parts":[[2019,6,5]]},"location":"Berlin, Germany","end":{"date-parts":[[2019,6,7]]}},"container-title":["2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8737813\/8743146\/08743250.pdf?arnumber=8743250","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T20:21:43Z","timestamp":1658262103000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8743250\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/qomex.2019.8743250","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}