{"id":"https://openalex.org/W3185165902","doi":"https://doi.org/10.1007/s10489-021-02671-1","title":"One-class ensemble classifier for data imbalance problems","display_name":"One-class ensemble classifier for data imbalance problems","publication_year":2021,"publication_date":"2021-07-27","ids":{"openalex":"https://openalex.org/W3185165902","doi":"https://doi.org/10.1007/s10489-021-02671-1","mag":"3185165902"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-021-02671-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02671-1","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","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/A5027599673","display_name":"Toshitaka Hayashi","orcid":"https://orcid.org/0000-0002-7599-4404"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toshitaka Hayashi","raw_affiliation_strings":["Faculty of Software and Information Science, Iwate Prefectural University, Takizawa, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7599-4404","affiliations":[{"raw_affiliation_string":"Faculty of Software and Information Science, Iwate Prefectural University, Takizawa, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042597849","display_name":"Hamido Fujita","orcid":"https://orcid.org/0000-0001-5256-210X"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hamido Fujita","raw_affiliation_strings":["Regional Research Center, Iwate Prefectural University, Takizawa, Japan","i-somet.org Incorporated Association, Morioka, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5256-210X","affiliations":[{"raw_affiliation_string":"Regional Research Center, Iwate Prefectural University, Takizawa, Japan","institution_ids":["https://openalex.org/I6090238"]},{"raw_affiliation_string":"i-somet.org Incorporated Association, Morioka, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027599673"],"corresponding_institution_ids":["https://openalex.org/I6090238"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":4.4314,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.95252076,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"52","issue":"15","first_page":"17073","last_page":"17089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.8987168073654175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8497709035873413},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7497174143791199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6905546188354492},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6418583393096924},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5964117646217346},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.47378063201904297},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.46910104155540466},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43745219707489014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43010014295578003},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41601794958114624}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8987168073654175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8497709035873413},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7497174143791199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6905546188354492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6418583393096924},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5964117646217346},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.47378063201904297},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46910104155540466},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43745219707489014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43010014295578003},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41601794958114624},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-021-02671-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02671-1","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3764764771","display_name":"Healthcare Risk Prediction on Data Streams Employing Cross Ensemble Deep Learning","funder_award_id":"20K11955","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W85350352","https://openalex.org/W1591261915","https://openalex.org/W2015245929","https://openalex.org/W2022477494","https://openalex.org/W2101234009","https://openalex.org/W2104933073","https://openalex.org/W2107686700","https://openalex.org/W2132791018","https://openalex.org/W2132870739","https://openalex.org/W2144182447","https://openalex.org/W2148143831","https://openalex.org/W2296719434","https://openalex.org/W2521200999","https://openalex.org/W2761075141","https://openalex.org/W2766123252","https://openalex.org/W2803674491","https://openalex.org/W2803697594","https://openalex.org/W2804316532","https://openalex.org/W2806416578","https://openalex.org/W2885193076","https://openalex.org/W2910453440","https://openalex.org/W2922656120","https://openalex.org/W2932812535","https://openalex.org/W2962981269","https://openalex.org/W2962984188","https://openalex.org/W3004442222","https://openalex.org/W3006123093","https://openalex.org/W3009384997","https://openalex.org/W3010795489","https://openalex.org/W3037788822","https://openalex.org/W3038625188","https://openalex.org/W3039775522","https://openalex.org/W3083667808","https://openalex.org/W3102638056","https://openalex.org/W3104279205","https://openalex.org/W3109072952","https://openalex.org/W3112652185","https://openalex.org/W3113069800","https://openalex.org/W3118096520","https://openalex.org/W3127276455","https://openalex.org/W3127303281","https://openalex.org/W3184441495","https://openalex.org/W6751494907"],"related_works":["https://openalex.org/W3196098778","https://openalex.org/W3211250490","https://openalex.org/W4360584310","https://openalex.org/W2981515171","https://openalex.org/W80466363","https://openalex.org/W2924282518","https://openalex.org/W3080872054","https://openalex.org/W3116557776","https://openalex.org/W3136871737","https://openalex.org/W2558685994"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}