{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T15:45:43Z","timestamp":1781883943590,"version":"3.54.5"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100005416","name":"Norges Forskningsrd","doi-asserted-by":"publisher","award":["2019\/34\/H\/ST6\/00599"],"award-info":[{"award-number":["2019\/34\/H\/ST6\/00599"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium fr Bildung und Forschung","doi-asserted-by":"publisher","award":["01IS17052"],"award-info":[{"award-number":["01IS17052"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium fr Bildung und Forschung","doi-asserted-by":"publisher","award":["01IS18025A"],"award-info":[{"award-number":["01IS18025A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium fr Bildung und Forschung","doi-asserted-by":"publisher","award":["01IS18037A"],"award-info":[{"award-number":["01IS18037A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tnsm.2022.3179924","type":"journal-article","created":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T19:35:29Z","timestamp":1654198529000},"page":"3516-3532","source":"Crossref","is-referenced-by-count":31,"title":["ML-Based QoE Estimation in 5G Networks Using Different Regression Techniques"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3705-7559","authenticated-orcid":false,"given":"Susanna","family":"Schwarzmann","sequence":"first","affiliation":[{"name":"Internet Network Architectures, Technische Universität Berlin, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clarissa Cassales","family":"Marquezan","sequence":"additional","affiliation":[{"name":"Advanced Wireless Technologies Lab, Huawei Technologies, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4190-5781","authenticated-orcid":false,"given":"Riccardo","family":"Trivisonno","sequence":"additional","affiliation":[{"name":"Advanced Wireless Technologies Lab, Huawei Technologies, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shinichi","family":"Nakajima","sequence":"additional","affiliation":[{"name":"Internet Network Architectures, Technische Universität Berlin, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincent","family":"Barriac","sequence":"additional","affiliation":[{"name":"Innovation\/Networks\/WNI\/IPN, Orange Innovation\/Networks, Lannion, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4179-4105","authenticated-orcid":false,"given":"Thomas","family":"Zinner","sequence":"additional","affiliation":[{"name":"Department of Information Security and Communication Technology, NTNU, Trondheim, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3339825.3394938"},{"key":"ref32","article-title":"Random features for large-scale kernel machines","volume":"20","author":"rahimi","year":"2008","journal-title":"Advances in neural information processing systems"},{"key":"ref31","article-title":"Using the Nyström method to speed up kernel machines","volume":"13","author":"williams","year":"2001","journal-title":"Advances in neural information processing systems"},{"key":"ref30","article-title":"Explanations can be manipulated and geometry is to blame","author":"dombrowski","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s12243-009-0142-x"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2010.5430142"},{"key":"ref10","first-page":"233","article-title":"In-network QoE and KPI monitoring of mobile YouTube traffic: Insights for encrypted iOS flows","author":"or\u0161oli?","year":"2018","journal-title":"Proc Int?l Conf Network and Service Management (CNSM)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2017.7996604"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2019.8743281"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JCN.2020.000019"},{"key":"ref14","first-page":"339","article-title":"Intelligent optimization and machine learning for 5G network control and management","author":"hern\u00e1ndez-chulde","year":"2019","journal-title":"Proc Int Conf Pract Appl Agents Multi-Agent Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3349611.3355547"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12331-3_3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5220\/0005040000590070"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SECON.2010.5508278"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1943552.1943572"},{"key":"ref28","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref3","year":"2021"},{"key":"ref27","year":"2021"},{"key":"ref6","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148685"},{"key":"ref8","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref7","first-page":"155","article-title":"Support vector regression machines","author":"drucker","year":"1997","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2012.6178831"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2987443.2987459"},{"key":"ref1","author":"brunnstr\u00f6m","year":"2013","journal-title":"Qualinet White Paper on Definitions of Quality of Experience"},{"key":"ref20","year":"2019","journal-title":"Parametric Bitstream-Based Quality Assessment of Progressive Download and Adaptive Audiovisual Streaming Services Over Reliable Transport—Video Quality Estimation Module"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2017.7965631"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3204949.3208124"},{"key":"ref24","year":"2015","journal-title":"The E-Model a computational model for use in transmission planning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2018.8463414"},{"key":"ref26","first-page":"1","article-title":"Speech quality of VoIP: Bursty packet loss revisited","author":"soloducha","year":"2014","journal-title":"Proc 11th Speech Commun ITG Symp"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX48832.2020.9123104"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/9917435\/09786853.pdf?arnumber=9786853","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T17:37:26Z","timestamp":1665769046000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9786853\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":35,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2022.3179924","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}