{"id":"https://openalex.org/W3205787421","doi":"https://doi.org/10.1109/iisa52424.2021.9555514","title":"Prototype Selection and Generation with Minority Classes Preservation","display_name":"Prototype Selection and Generation with Minority Classes Preservation","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3205787421","doi":"https://doi.org/10.1109/iisa52424.2021.9555514","mag":"3205787421"},"language":"en","primary_location":{"id":"doi:10.1109/iisa52424.2021.9555514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa52424.2021.9555514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","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/A5078177435","display_name":"Konstantinos Xouveroudis","orcid":null},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Xouveroudis","raw_affiliation_strings":["International Hellenic University, Sindos, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Hellenic University, Sindos, Thessaloniki, Greece","institution_ids":["https://openalex.org/I183898223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043003448","display_name":"Stefanos Ougiaroglou","orcid":"https://orcid.org/0000-0003-1094-2520"},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stefanos Ougiaroglou","raw_affiliation_strings":["International Hellenic University, Sindos, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Hellenic University, Sindos, Thessaloniki, Greece","institution_ids":["https://openalex.org/I183898223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089769845","display_name":"Georgios Evangelidis","orcid":"https://orcid.org/0000-0003-1639-2152"},"institutions":[{"id":"https://openalex.org/I192756129","display_name":"University of Macedonia","ror":"https://ror.org/05fg6gr82","country_code":"GR","type":"education","lineage":["https://openalex.org/I192756129"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Evangelidis","raw_affiliation_strings":["School of Information Sciences University of Macedonia, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Sciences University of Macedonia, Thessaloniki, Greece","institution_ids":["https://openalex.org/I192756129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032970498","display_name":"Dimitris A. Dervos","orcid":"https://orcid.org/0000-0002-5441-0086"},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris A. Dervos","raw_affiliation_strings":["International Hellenic University, Sindos, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Hellenic University, Sindos, Thessaloniki, Greece","institution_ids":["https://openalex.org/I183898223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1465,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4092698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9991999864578247,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9771999716758728,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.7779088020324707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7586117386817932},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6640269160270691},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6118549704551697},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6099462509155273},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6048120260238647},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5961323976516724},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.5932915210723877},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5824790000915527},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5717294812202454},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5552569627761841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5300996899604797},{"id":"https://openalex.org/keywords/cost-reduction","display_name":"Cost reduction","score":0.41203656792640686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3315051198005676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14597734808921814}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7779088020324707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7586117386817932},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6640269160270691},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6118549704551697},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6099462509155273},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6048120260238647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5961323976516724},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.5932915210723877},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5824790000915527},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5717294812202454},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5552569627761841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5300996899604797},{"id":"https://openalex.org/C2778820799","wikidata":"https://www.wikidata.org/wiki/Q3454688","display_name":"Cost reduction","level":2,"score":0.41203656792640686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3315051198005676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14597734808921814},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa52424.2021.9555514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa52424.2021.9555514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W571200655","https://openalex.org/W1968933949","https://openalex.org/W1994410331","https://openalex.org/W2028391550","https://openalex.org/W2067098334","https://openalex.org/W2068514419","https://openalex.org/W2092617083","https://openalex.org/W2118978333","https://openalex.org/W2133990480","https://openalex.org/W2148143831","https://openalex.org/W2151537585","https://openalex.org/W2182722412","https://openalex.org/W2772832743","https://openalex.org/W2903362744","https://openalex.org/W2918408501"],"related_works":["https://openalex.org/W2786391746","https://openalex.org/W3132346564","https://openalex.org/W2991483587","https://openalex.org/W2087637582","https://openalex.org/W2914559142","https://openalex.org/W1570939702","https://openalex.org/W4226059458","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4210425385"],"abstract_inverted_index":{"Instance-based":[0],"classifiers":[1],"become":[2],"inefficient":[3],"when":[4,101],"the":[5,31,41,46,56,70,76,85,98,108,115],"size":[6],"of":[7,37,48,66,72,107],"their":[8],"training":[9,33,68],"dataset":[10],"or":[11,126],"model":[12],"is":[13,39,60,104],"large.":[14],"Therefore,":[15],"they":[16],"are":[17],"usually":[18],"applied":[19],"in":[20],"conjunction":[21],"with":[22,131],"a":[23],"Data":[24],"Reduction":[25],"Technique":[26],"that":[27,96,117,129],"collects":[28],"prototypes":[29,38,73],"from":[30],"available":[32],"data.":[34],"The":[35,134,143],"set":[36,43],"called":[40],"condensing":[42],"and":[44,122,160],"has":[45],"benefit":[47],"low":[49],"computational":[50],"cost":[51],"during":[52],"classification,":[53],"while,":[54],"at":[55],"same":[57],"time,":[58],"accuracy":[59],"not":[61],"negatively":[62],"affected.":[63],"In":[64],"case":[65],"imbalanced":[67,153],"data,":[69],"number":[71],"collected":[74],"for":[75],"minority":[77],"(rare)":[78],"classes":[79,87,100,121],"may":[80,88],"be":[81,89],"insufficient.":[82],"Even":[83],"worse,":[84],"rare":[86,99],"eliminated.":[90],"This":[91],"paper":[92],"presents":[93],"three":[94,144],"methods":[95,109,145],"preserve":[97],"data":[102,111,141],"reduction":[103,112,163],"applied.":[105],"Two":[106],"apply":[110],"only":[113],"on":[114,151],"instances":[116],"belong":[118],"to":[119],"common":[120],"avoid":[123],"costly":[124],"under-sampling":[125],"over-sampling":[127,139],"procedures":[128],"deal":[130],"class":[132],"imbalances.":[133],"third":[135],"method":[136],"utilizes":[137],"SMOTE":[138],"before":[140],"reduction.":[142],"were":[146],"tested":[147],"by":[148],"conducting":[149],"experiments":[150],"twelve":[152],"datasets.":[154],"Experimental":[155],"results":[156],"reveal":[157],"high":[158],"recall":[159],"very":[161],"good":[162],"rates.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}