{"id":"https://openalex.org/W3018201762","doi":"https://doi.org/10.1109/qomex48832.2020.9123078","title":"Transformation of Mean Opinion Scores to Avoid Misleading of Ranked Based Statistical Techniques","display_name":"Transformation of Mean Opinion Scores to Avoid Misleading of Ranked Based Statistical Techniques","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3018201762","doi":"https://doi.org/10.1109/qomex48832.2020.9123078","mag":"3018201762"},"language":"en","primary_location":{"id":"doi:10.1109/qomex48832.2020.9123078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex48832.2020.9123078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.11490","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Babak Naderi","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Babak Naderi","raw_affiliation_strings":["Quality and Usability Lab, DFKI, Technische Universit\u00e4tt Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quality and Usability Lab, DFKI, Technische Universit\u00e4tt Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sebastian Moller","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Moller","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.36230000853538513,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.36230000853538513,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.31839999556541443,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6743999719619751},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5848000049591064},{"id":"https://openalex.org/keywords/rank-correlation","display_name":"Rank correlation","score":0.46650001406669617},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.44999998807907104},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.44020000100135803},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4325000047683716},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42649999260902405},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4140999913215637}],"concepts":[{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6743999719619751},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5848000049591064},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5453000068664551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5099999904632568},{"id":"https://openalex.org/C101601086","wikidata":"https://www.wikidata.org/wiki/Q3753228","display_name":"Rank correlation","level":2,"score":0.46650001406669617},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.44999998807907104},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4325000047683716},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3779999911785126},{"id":"https://openalex.org/C2987757206","wikidata":"https://www.wikidata.org/wiki/Q494735","display_name":"Statistical software","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.37290000915527344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3695000112056732},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3343999981880188},{"id":"https://openalex.org/C62897895","wikidata":"https://www.wikidata.org/wiki/Q1915482","display_name":"Mean opinion score","level":3,"score":0.3163999915122986},{"id":"https://openalex.org/C150670458","wikidata":"https://www.wikidata.org/wiki/Q4272815","display_name":"Data transformation","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C48057537","wikidata":"https://www.wikidata.org/wiki/Q3551145","display_name":"Statistical theory","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2630999982357025},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/qomex48832.2020.9123078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex48832.2020.9123078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.11490","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.11490","pdf_url":"https://arxiv.org/pdf/2004.11490","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.11490","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.11490","pdf_url":"https://arxiv.org/pdf/2004.11490","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,110],"rank":[1,51,111],"correlation":[2,112],"coefficients":[3,113],"and":[4,41,82,114],"the":[5,31,66,102,124,139,146],"ranked-based":[6,115],"statistical":[7,89,116],"tests":[8,117],"(as":[9],"a":[10,43,49,94],"subset":[11],"of":[12,45,68,87,141,148],"non-parametric":[13],"techniques)":[14],"might":[15,83],"be":[16,84,120],"misleading":[17,85],"when":[18,52],"they":[19,53],"are":[20],"applied":[21,122],"to":[22,47,96,123,137],"subjectively":[23],"collected":[24],"opinion":[25],"scores.":[26],"Those":[27],"techniques":[28],"assume":[29],"that":[30,65],"data":[32],"is":[33,74],"measured":[34],"at":[35,37],"least":[36],"an":[38,56],"ordinal":[39],"level":[40],"define":[42],"sequence":[44],"scores":[46],"represent":[48],"tied":[50,69],"have":[54],"precisely":[55],"equal":[57],"numeric":[58],"value.":[59],"In":[60],"this":[61,98],"paper,":[62],"we":[63,92],"show":[64],"definition":[67],"rank,":[70],"as":[71],"mentioned":[72],"above,":[73],"not":[75],"suitable":[76],"for":[77],"Mean":[78],"Opinion":[79],"Scores":[80],"(MOS)":[81],"conclusions":[86],"rank-based":[88],"techniques.":[90],"Furthermore,":[91],"introduce":[93],"method":[95,144],"overcome":[97],"issue":[99],"by":[100],"transforming":[101],"MOS":[103],"values":[104],"considering":[105],"their":[106],"95%":[107],"Confidence":[108],"Intervals.":[109],"can":[118],"then":[119],"safely":[121],"transformed":[125],"values.":[126],"We":[127],"also":[128],"provide":[129],"open-source":[130],"software":[131],"packages":[132],"in":[133,145],"different":[134],"programming":[135],"languages":[136],"utilize":[138],"application":[140],"our":[142],"transformation":[143],"quality":[147],"experience":[149],"domain.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-05-01T00:00:00"}
