{"id":"https://openalex.org/W4282919843","doi":"https://doi.org/10.1109/tpami.2022.3178914","title":"Deep Generative Mixture Model for Robust Imbalance Classification","display_name":"Deep Generative Mixture Model for Robust Imbalance Classification","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4282919843","doi":"https://doi.org/10.1109/tpami.2022.3178914","pmid":"https://pubmed.ncbi.nlm.nih.gov/35648874"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3178914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3178914","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100408892","display_name":"Xinyue Wang","orcid":"https://orcid.org/0009-0005-3851-5768"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyue Wang","raw_affiliation_strings":["Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069749738","display_name":"Liping Jing","orcid":"https://orcid.org/0000-0001-7578-3407"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Jing","raw_affiliation_strings":["Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054177342","display_name":"Yilin Lyu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Lyu","raw_affiliation_strings":["Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115444828","display_name":"Mingzhe Guo","orcid":"https://orcid.org/0000-0001-6399-9753"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhe Guo","raw_affiliation_strings":["Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072418170","display_name":"Jiaqi Wang","orcid":"https://orcid.org/0000-0003-0859-2584"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Wang","raw_affiliation_strings":["Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725633","display_name":"Huafeng Liu","orcid":"https://orcid.org/0000-0002-7914-6867"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huafeng Liu","raw_affiliation_strings":["Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101970582","display_name":"Jian Yu","orcid":"https://orcid.org/0009-0009-9041-7507"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yu","raw_affiliation_strings":["Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059443966","display_name":"Tieyong Zeng","orcid":"https://orcid.org/0000-0002-0688-202X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Tieyong Zeng","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, China","Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Computer and Information Technology, Beijing Jiaotong University, Haidian District, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100408892"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":3.0543,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92368336,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"45","issue":"3","first_page":"2897","last_page":"2912"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9983000159263611,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.7377298474311829},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6857585906982422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6666818261146545},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.6591576933860779},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6425356864929199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597003698348999},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5671855211257935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5386917591094971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4803401231765747},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4630017876625061},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.4312412440776825},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3926362991333008}],"concepts":[{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.7377298474311829},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6857585906982422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6666818261146545},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6591576933860779},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6425356864929199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597003698348999},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5671855211257935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5386917591094971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4803401231765747},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4630017876625061},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.4312412440776825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3926362991333008}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3178914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3178914","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:35648874","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35648874","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1634564638","display_name":null,"funder_award_id":"2017YFC1703506","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2326706895","display_name":null,"funder_award_id":"2020AAA0106800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3458297296","display_name":null,"funder_award_id":"2021YFE0203700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4118857521","display_name":null,"funder_award_id":"62176020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4382319879","display_name":null,"funder_award_id":"61822601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4682237683","display_name":null,"funder_award_id":"OEIP-O-202004","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G491925498","display_name":null,"funder_award_id":"61773050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5702522803","display_name":null,"funder_award_id":"NSFC/RGC N_CUHK 415/19","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G600048247","display_name":null,"funder_award_id":"Z180006","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G687880273","display_name":null,"funder_award_id":"61972132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G784055733","display_name":null,"funder_award_id":"14302920","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8249503733","display_name":null,"funder_award_id":"ITF MHP/038/20","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8333423527","display_name":null,"funder_award_id":"14301121","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8377820436","display_name":null,"funder_award_id":"2019JBZ110","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8689330525","display_name":null,"funder_award_id":"L211016","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G8863732217","display_name":null,"funder_award_id":"61632004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G887952432","display_name":null,"funder_award_id":"RGC 14300219","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1941659294","https://openalex.org/W1959608418","https://openalex.org/W2018186689","https://openalex.org/W2023847169","https://openalex.org/W2108598243","https://openalex.org/W2118978333","https://openalex.org/W2124685890","https://openalex.org/W2138621090","https://openalex.org/W2148143831","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2490420619","https://openalex.org/W2508932077","https://openalex.org/W2551446786","https://openalex.org/W2562319768","https://openalex.org/W2594477595","https://openalex.org/W2604968786","https://openalex.org/W2611650229","https://openalex.org/W2730106296","https://openalex.org/W2732026016","https://openalex.org/W2750384547","https://openalex.org/W2756182389","https://openalex.org/W2786532017","https://openalex.org/W2795144650","https://openalex.org/W2798869704","https://openalex.org/W2799504468","https://openalex.org/W2807992610","https://openalex.org/W2809316507","https://openalex.org/W2906792045","https://openalex.org/W2910171846","https://openalex.org/W2944624853","https://openalex.org/W2949736877","https://openalex.org/W2951751045","https://openalex.org/W2962895364","https://openalex.org/W2962933664","https://openalex.org/W2963166243","https://openalex.org/W2963212406","https://openalex.org/W2963351448","https://openalex.org/W2963469976","https://openalex.org/W2963566126","https://openalex.org/W2963765036","https://openalex.org/W2964110122","https://openalex.org/W2966095869","https://openalex.org/W2981515171","https://openalex.org/W2981942364","https://openalex.org/W2994088087","https://openalex.org/W3008812129","https://openalex.org/W3012805373","https://openalex.org/W3034561829","https://openalex.org/W3034601242","https://openalex.org/W3035524453","https://openalex.org/W3087124270","https://openalex.org/W3096688134","https://openalex.org/W3101156210","https://openalex.org/W3118608800","https://openalex.org/W3189075232","https://openalex.org/W4212863985","https://openalex.org/W4294562888","https://openalex.org/W6640963894","https://openalex.org/W6684578138","https://openalex.org/W6703116779","https://openalex.org/W6718140377","https://openalex.org/W6725434214","https://openalex.org/W6738027021","https://openalex.org/W6743688258","https://openalex.org/W6745136726","https://openalex.org/W6745312988","https://openalex.org/W6749904568","https://openalex.org/W6751794319","https://openalex.org/W6758366860","https://openalex.org/W6764214684","https://openalex.org/W6768920361","https://openalex.org/W6769565402","https://openalex.org/W6770979763","https://openalex.org/W6776700526","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2146591867","https://openalex.org/W2093104230","https://openalex.org/W4390874210","https://openalex.org/W4384918963","https://openalex.org/W2128027845","https://openalex.org/W4386184937","https://openalex.org/W2461917396","https://openalex.org/W2616125534","https://openalex.org/W2963987720","https://openalex.org/W2146310005"],"abstract_inverted_index":{"Discovering":[0],"hidden":[1],"pattern":[2],"from":[3,19,63],"imbalanced":[4,177,193],"data":[5,23,54,152,167],"is":[6,43,61,76,125],"a":[7,39,64,94,99,126,146],"critical":[8],"issue":[9,48],"in":[10,30,141],"various":[11],"real-world":[12],"applications.":[13],"Existing":[14],"classification":[15,194,198],"methods":[16],"usually":[17],"suffer":[18],"the":[20,57,79,83,109,133,154,161,183],"limitation":[21],"of":[22,82,111,151,185],"especially":[24],"for":[25],"minority":[26],"classes,":[27],"and":[28,33,53,113,165],"result":[29],"unstable":[31],"prediction":[32],"low":[34],"performance.":[35],"In":[36],"this":[37,47],"paper,":[38],"deep":[40,65],"generative":[41,59,149],"classifier":[42,60],"proposed":[44,58,187],"to":[45,77,107,119,128,137,159],"mitigate":[46],"via":[49],"both":[50],"model":[51,68,112,115,188],"perturbation":[52],"perturbation.":[55,168],"Specially,":[56],"derived":[62],"latent":[66,88,129,155,163],"variable":[67,75,124],"where":[69],"two":[70],"variables":[71,156],"are":[72,91,135,157],"involved.":[73],"One":[74],"capture":[78,160],"essential":[80],"information":[81],"original":[84],"data,":[85],"denoted":[86],"as":[87],"codes,":[89],"which":[90],"represented":[92],"by":[93,189],"probability":[95],"distribution":[96,105,164],"rather":[97],"than":[98],"single":[100],"fixed":[101],"value.":[102],"The":[103,122],"learnt":[104],"aims":[106],"enforce":[108],"uncertainty":[110],"implement":[114,166],"perturbation,":[116],"thus,":[117],"lead":[118],"stable":[120],"predictions.":[121],"other":[123],"prior":[127],"codes":[130,134],"so":[131],"that":[132],"restricted":[136],"lie":[138],"on":[139,174,196],"components":[140],"Gaussian":[142],"Mixture":[143],"Model.":[144],"As":[145],"confounder":[147],"affecting":[148],"processes":[150],"(feature/label),":[153],"supposed":[158],"discriminative":[162],"Extensive":[169],"experiments":[170],"have":[171],"been":[172],"conducted":[173],"widely-used":[175],"real":[176],"image":[178],"datasets.":[179],"Experimental":[180],"results":[181],"demonstrate":[182],"superiority":[184],"our":[186],"comparing":[190],"with":[191],"popular":[192],"baselines":[195],"imbalance":[197],"task.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}