{"id":"https://openalex.org/W4200262789","doi":"https://doi.org/10.1155/2021/6702625","title":"[Retracted] Relieving the Incompatibility of Network Representation and Classification for Long\u2010Tailed Data Distribution","display_name":"[Retracted] Relieving the Incompatibility of Network Representation and Classification for Long\u2010Tailed Data Distribution","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4200262789","doi":"https://doi.org/10.1155/2021/6702625","pmid":"https://pubmed.ncbi.nlm.nih.gov/34987568"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6702625","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6702625","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/6702625.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/6702625.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101861282","display_name":"Hao Hu","orcid":"https://orcid.org/0000-0002-9422-750X"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Hu","raw_affiliation_strings":["Postgraduate Department, China Academy of Railway Science, Beijing 100081, China"],"raw_orcid":"https://orcid.org/0000-0002-9422-750X","affiliations":[{"raw_affiliation_string":"Postgraduate Department, China Academy of Railway Science, Beijing 100081, China","institution_ids":["https://openalex.org/I4210141966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085272181","display_name":"Mengya Gao","orcid":"https://orcid.org/0000-0003-2736-6005"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengya Gao","raw_affiliation_strings":["Sensetime, Beijing 100080, China"],"raw_orcid":"https://orcid.org/0000-0003-2736-6005","affiliations":[{"raw_affiliation_string":"Sensetime, Beijing 100080, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001091951","display_name":"Ming-Sheng Wu","orcid":"https://orcid.org/0000-0003-1374-0684"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsheng Wu","raw_affiliation_strings":["Institute of Computing Technologies, China Academy of Railway Science Corporation Limited, Beijing 100081, China"],"raw_orcid":"https://orcid.org/0000-0003-1374-0684","affiliations":[{"raw_affiliation_string":"Institute of Computing Technologies, China Academy of Railway Science Corporation Limited, Beijing 100081, China","institution_ids":["https://openalex.org/I4210141966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085272181"],"corresponding_institution_ids":["https://openalex.org/I4210128910"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.2798,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65966342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2021","issue":"1","first_page":"6702625","last_page":"6702625"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9980000257492065,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.768458366394043},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.766159176826477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6806690692901611},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6704457998275757},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5377322435379028},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.483576238155365},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.436953067779541},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32636621594429016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.768458366394043},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.766159176826477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6806690692901611},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6704457998275757},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5377322435379028},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.483576238155365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.436953067779541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32636621594429016},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/6702625","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6702625","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/6702625.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:34987568","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34987568","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:0a9dbdbec8b54652b035fa76e59c3d1a","is_oa":true,"landing_page_url":"https://doaj.org/article/0a9dbdbec8b54652b035fa76e59c3d1a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8723848","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8723848","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2021/6702625","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6702625","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/6702625.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200262789.pdf","grobid_xml":"https://content.openalex.org/works/W4200262789.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1941659294","https://openalex.org/W2108598243","https://openalex.org/W2118978333","https://openalex.org/W2132791018","https://openalex.org/W2136903812","https://openalex.org/W2148143831","https://openalex.org/W2339172597","https://openalex.org/W2440599146","https://openalex.org/W2519882289","https://openalex.org/W2732026016","https://openalex.org/W2767106145","https://openalex.org/W2781292787","https://openalex.org/W2797977484","https://openalex.org/W2798836702","https://openalex.org/W2914727879","https://openalex.org/W2948672349","https://openalex.org/W2962895364","https://openalex.org/W2962933664","https://openalex.org/W2963026686","https://openalex.org/W2963351448","https://openalex.org/W2963703197","https://openalex.org/W2963910091","https://openalex.org/W2970084480","https://openalex.org/W3034601242","https://openalex.org/W3096121526","https://openalex.org/W3111252915","https://openalex.org/W3156223482","https://openalex.org/W3178492293","https://openalex.org/W3195087170","https://openalex.org/W3200862286","https://openalex.org/W4293390340","https://openalex.org/W6744066916"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2961085424","https://openalex.org/W2795079307","https://openalex.org/W2391251536","https://openalex.org/W4286629047","https://openalex.org/W2465918047","https://openalex.org/W2793058541","https://openalex.org/W2362198218","https://openalex.org/W2019521278","https://openalex.org/W1984922432"],"abstract_inverted_index":{"In":[0,91],"the":[1,40,50,58,64,72,82,100,108,142,154],"real-world":[2],"scenario,":[3],"data":[4,32,102],"often":[5],"have":[6],"a":[7,22,30,45,76,131],"long-tailed":[8,31,65,77,101,150],"distribution":[9,33,103],"and":[10,43,88,105,111,128],"training":[11,41],"deep":[12],"neural":[13],"networks":[14],"on":[15,49,56,147],"such":[16],"an":[17],"imbalanced":[18],"dataset":[19],"has":[20],"become":[21],"great":[23],"challenge.":[24],"The":[25],"main":[26],"problem":[27,84,104],"caused":[28],"by":[29],"is":[34,137],"that":[35],"common":[36],"classes":[37],"will":[38,80],"dominate":[39],"results":[42],"achieve":[44],"very":[46],"low":[47],"accuracy":[48],"rare":[51],"classes.":[52],"Recent":[53],"work":[54],"focuses":[55],"improving":[57],"network":[59,73,86,89,109,126],"representation":[60,87,110,127],"ability":[61],"to":[62,75,98,122,140],"overcome":[63],"problem,":[66],"while":[67],"it":[68],"always":[69],"ignores":[70],"adapting":[71],"classifier":[74,112],"case,":[78],"which":[79],"cause":[81],"\"incompatibility\"":[83],"of":[85,157],"classifier.":[90,129],"this":[92],"paper,":[93],"we":[94],"use":[95],"knowledge":[96,117,134],"distillation":[97,118,135],"solve":[99],"fully":[106],"optimize":[107],"simultaneously.":[113],"We":[114],"propose":[115],"multiexperts":[116],"with":[119],"class-balanced":[120],"sampling":[121],"jointly":[123],"learn":[124],"high-quality":[125],"Also,":[130],"channel":[132],"activation-based":[133],"method":[136],"also":[138],"proposed":[139],"improve":[141],"performance":[143,146],"further.":[144],"State-of-the-art":[145],"several":[148],"large-scale":[149],"classification":[151],"datasets":[152],"shows":[153],"superior":[155],"generalization":[156],"our":[158],"method.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}