{"id":"https://openalex.org/W3177921646","doi":"https://doi.org/10.1145/3453892.3461323","title":"Multi-Class Confusion Matrix Reduction method and its application on Net Promoter Score classification problem","display_name":"Multi-Class Confusion Matrix Reduction method and its application on Net Promoter Score classification problem","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W3177921646","doi":"https://doi.org/10.1145/3453892.3461323","mag":"3177921646"},"language":"en","primary_location":{"id":"doi:10.1145/3453892.3461323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453892.3461323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013771523","display_name":"Ioannis Markoulidakis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Markoulidakis","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052330700","display_name":"George Kopsiaftis","orcid":"https://orcid.org/0000-0003-3852-2667"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Kopsiaftis","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057865801","display_name":"Ioannis Rallis","orcid":"https://orcid.org/0000-0003-4491-5854"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Rallis","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076478937","display_name":"Ioannis Georgoulas","orcid":"https://orcid.org/0009-0005-8826-9112"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Georgoulas","raw_affiliation_strings":["National Technical University of Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":11.7202,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.99032812,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"412","last_page":"419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.8540076017379761},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.7686604261398315},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.709134578704834},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.7073322534561157},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6722085475921631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.614986002445221},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5727372169494629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.507850706577301},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4923361539840698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4686170220375061},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3558114171028137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34326475858688354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2640380263328552},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12168702483177185}],"concepts":[{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.8540076017379761},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.7686604261398315},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.709134578704834},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7073322534561157},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6722085475921631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614986002445221},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5727372169494629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.507850706577301},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4923361539840698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4686170220375061},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3558114171028137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34326475858688354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2640380263328552},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12168702483177185},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3453892.3461323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453892.3461323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1546777109","https://openalex.org/W1809873675","https://openalex.org/W1964061118","https://openalex.org/W1964357740","https://openalex.org/W1976193075","https://openalex.org/W2029758834","https://openalex.org/W2040895929","https://openalex.org/W2048537487","https://openalex.org/W2109553965","https://openalex.org/W2112538708","https://openalex.org/W2133702522","https://openalex.org/W2155632266","https://openalex.org/W2155824414","https://openalex.org/W2158698691","https://openalex.org/W2334231064","https://openalex.org/W2555827964","https://openalex.org/W2790335308","https://openalex.org/W2794284562","https://openalex.org/W2888728157","https://openalex.org/W2890479857","https://openalex.org/W2891519189","https://openalex.org/W2910439791","https://openalex.org/W2912584291","https://openalex.org/W2920312100","https://openalex.org/W3046324193","https://openalex.org/W3112281186","https://openalex.org/W3124429462","https://openalex.org/W4320914323"],"related_works":["https://openalex.org/W2964976023","https://openalex.org/W1982477181","https://openalex.org/W2403083015","https://openalex.org/W4285488523","https://openalex.org/W2011367623","https://openalex.org/W4366202965","https://openalex.org/W1969293528","https://openalex.org/W2349679704","https://openalex.org/W4389633859","https://openalex.org/W2570625548"],"abstract_inverted_index":{"The":[0,46,62],"paper":[1],"presents":[2],"a":[3,8,13,57,79],"novel":[4],"method":[5,48,64],"for":[6,39,68],"reducing":[7],"multi-class":[9],"Confusion":[10,59],"Matrix":[11,60],"into":[12],"2":[14,16],"\u00d7":[15],"version":[17],"enabling":[18],"the":[19,22,29,34,37,40,69],"use":[20],"of":[21,42,71],"relevant":[23],"performance":[24],"metrics":[25],"and":[26,33,54],"methods":[27],"like":[28],"Receiver":[30],"Operator":[31],"Characteristic":[32],"Area":[35],"Under":[36],"Curve":[38],"assessment":[41,70],"different":[43],"classification":[44],"algorithms.":[45],"reduction":[47],"is":[49,65],"based":[50],"on":[51,78],"class":[52],"grouping":[53],"leads":[55],"to":[56],"specific":[58],"type.":[61],"developed":[63],"then":[66],"exploited":[67],"several":[72],"state-of-the-art":[73],"machine":[74],"learning":[75],"algorithms":[76],"applied":[77],"customer":[80],"experience":[81],"metric.":[82]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":15}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}