{"id":"https://openalex.org/W3160285281","doi":"https://doi.org/10.1109/icpr48806.2021.9412182","title":"Minority Class Oriented Active Learning for Imbalanced Datasets","display_name":"Minority Class Oriented Active Learning for Imbalanced Datasets","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3160285281","doi":"https://doi.org/10.1109/icpr48806.2021.9412182","mag":"3160285281"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2202.00390","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073412594","display_name":"Umang Aggarwal","orcid":"https://orcid.org/0000-0002-3982-9284"},"institutions":[{"id":"https://openalex.org/I4387152683","display_name":"Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes","ror":"https://ror.org/03q29s414","country_code":null,"type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4387152683"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Umang Aggarwal","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, CentraleSup\u00e9lec, Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes, Gif-sur-Yvette, France","MICS - Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, CentraleSup\u00e9lec, Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954","https://openalex.org/I4387152683"]},{"raw_affiliation_string":"MICS - Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)","institution_ids":["https://openalex.org/I4387152683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037268828","display_name":"Adrian Popescu","orcid":"https://orcid.org/0000-0002-8099-824X"},"institutions":[{"id":"https://openalex.org/I4210148559","display_name":"\u00c9cole nationale sup\u00e9rieure de techniques avanc\u00e9es Bretagne","ror":"https://ror.org/059n54003","country_code":"FR","type":"education","lineage":["https://openalex.org/I201181511","https://openalex.org/I4210145102","https://openalex.org/I4210148559"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adrian Popescu","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, CEA","INFO - D\u00e9partement informatique (T\u00e9l\u00e9com Bretagne Technopole Brest Iroise CS 83818 29238 Brest Cedex 3 - France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, CEA","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"INFO - D\u00e9partement informatique (T\u00e9l\u00e9com Bretagne Technopole Brest Iroise CS 83818 29238 Brest Cedex 3 - France)","institution_ids":["https://openalex.org/I4210148559"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070164335","display_name":"C\u00e9line Hudelot","orcid":"https://orcid.org/0000-0003-3849-4133"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4387152683","display_name":"Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes","ror":"https://ror.org/03q29s414","country_code":null,"type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4387152683"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Celine Hudelot","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, CentraleSup\u00e9lec, Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes, Gif-sur-Yvette, France","MICS - Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, CentraleSup\u00e9lec, Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954","https://openalex.org/I4387152683"]},{"raw_affiliation_string":"MICS - Math\u00e9matiques et Informatique pour la Complexit\u00e9 et les Syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)","institution_ids":["https://openalex.org/I4387152683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073412594"],"corresponding_institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4387152683"],"apc_list":null,"apc_paid":null,"fwci":0.9799,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.802205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9920","last_page":"9927"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","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/T12072","display_name":"Machine Learning and Algorithms","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/T12535","display_name":"Machine Learning and Data Classification","score":0.9925000071525574,"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":0.9876999855041504,"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":0.8275506496429443},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.7303807735443115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7174524664878845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7106812596321106},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6182052493095398},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5547564625740051},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.546299934387207},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5439732670783997},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5194127559661865},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4969346821308136},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4787004292011261},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4469159245491028}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8275506496429443},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.7303807735443115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7174524664878845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7106812596321106},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6182052493095398},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5547564625740051},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.546299934387207},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5439732670783997},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5194127559661865},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4969346821308136},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4787004292011261},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4469159245491028},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2202.00390","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.00390","pdf_url":"https://arxiv.org/pdf/2202.00390","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:cea-04533119v1","is_oa":true,"landing_page_url":"https://cea.hal.science/cea-04533119","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9412182","raw_type":"Conference papers"},{"id":"pmh:oai:HAL:hal-04571474v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04571474","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2202.00390","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.00390","pdf_url":"https://arxiv.org/pdf/2202.00390","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W56793145","https://openalex.org/W199218251","https://openalex.org/W1979428660","https://openalex.org/W1997783035","https://openalex.org/W2003704098","https://openalex.org/W2019858993","https://openalex.org/W2041404167","https://openalex.org/W2042932437","https://openalex.org/W2062118960","https://openalex.org/W2085306757","https://openalex.org/W2117539524","https://openalex.org/W2117763124","https://openalex.org/W2118978333","https://openalex.org/W2131728141","https://openalex.org/W2149263498","https://openalex.org/W2152161678","https://openalex.org/W2194775991","https://openalex.org/W2471138382","https://openalex.org/W2548061775","https://openalex.org/W2562319768","https://openalex.org/W2597787948","https://openalex.org/W2750023899","https://openalex.org/W2765147099","https://openalex.org/W2767106145","https://openalex.org/W2774918944","https://openalex.org/W2798820905","https://openalex.org/W2903158431","https://openalex.org/W2909961873","https://openalex.org/W2951786554","https://openalex.org/W2954732411","https://openalex.org/W2963902936","https://openalex.org/W2993383518","https://openalex.org/W2995592331","https://openalex.org/W3009763662","https://openalex.org/W3118608800","https://openalex.org/W4243367342","https://openalex.org/W4250737575","https://openalex.org/W6600532368","https://openalex.org/W6608163104","https://openalex.org/W6681634217","https://openalex.org/W6735374517","https://openalex.org/W6747231328","https://openalex.org/W6765715182"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Active":[0],"learning":[1,44,96,113,140,153,189],"aims":[2],"to":[3,56,63,168,182],"optimize":[4],"the":[5,27,65,68,89,137,151,165,169,180,184],"dataset":[6,167],"annotation":[7],"process":[8],"when":[9],"resources":[10],"are":[11,16,35,162],"constrained.":[12],"Most":[13],"existing":[14],"methods":[15],"designed":[17,48],"for":[18,49,76,85,101,123],"balanced":[19],"datasets.":[20,51,133],"Their":[21],"practical":[22],"applicability":[23],"is":[24,47,109,127,175],"limited":[25],"by":[26,111],"fact":[28],"that":[29,136,150],"a":[30,41,73,106],"majority":[31],"of":[32,67,186],"real-life":[33],"datasets":[34],"actually":[36],"imbalanced.":[37],"Here,":[38],"we":[39],"introduce":[40],"new":[42],"active":[43,86,95,139,188],"method":[45,141],"which":[46,108],"imbalanced":[50,131],"It":[52],"favors":[53],"samples":[54],"likely":[55],"be":[57],"in":[58,93],"minority":[59],"classes":[60],"so":[61],"as":[62],"reduce":[64],"imbalance":[66],"labeled":[69],"subset":[70],"and":[71,104,114,119,177],"create":[72],"better":[74],"representation":[75],"these":[77],"classes.":[78],"We":[79],"also":[80,148],"compare":[81],"two":[82],"training":[83,154],"schemes":[84],"learning:":[87],"(1)":[88],"one":[90],"commonly":[91],"deployed":[92],"deep":[94,187],"using":[97],"model":[98,157],"fine":[99,158],"tuning":[100,159],"each":[102,124],"iteration":[103],"(2)":[105],"scheme":[107,155],"inspired":[110],"transfer":[112,152],"exploits":[115],"generic":[116,166],"pre-trained":[117],"models":[118],"train":[120],"shallow":[121],"classifiers":[122],"iteration.":[125],"Evaluation":[126],"run":[128],"with":[129],"three":[130],"image":[132],"Results":[134],"show":[135],"proposed":[138],"outperforms":[142,156],"competitive":[143],"baselines.":[144],"Equally":[145],"interesting,":[146],"they":[147],"indicate":[149],"if":[160],"features":[161],"transferable":[163],"from":[164],"unlabeled":[170],"one.":[171],"This":[172],"last":[173],"result":[174],"surprising":[176],"should":[178],"encourage":[179],"community":[181],"explore":[183],"design":[185],"methods.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
