{"id":"https://openalex.org/W2083551746","doi":"https://doi.org/10.1109/tnnls.2012.2228231","title":"Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification","display_name":"Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification","publication_year":2013,"publication_date":"2013-02-04","ids":{"openalex":"https://openalex.org/W2083551746","doi":"https://doi.org/10.1109/tnnls.2012.2228231","mag":"2083551746","pmid":"https://pubmed.ncbi.nlm.nih.gov/24808384"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2012.2228231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2012.2228231","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","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/A5075875631","display_name":"Minlong Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minlong Lin","raw_affiliation_strings":["Nature Inspired Computation and Applications Laboratory, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Nature Inspired Computation and Applications Laboratory, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021254405","display_name":"Ke Tang","orcid":"https://orcid.org/0000-0002-6236-2002"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Tang","raw_affiliation_strings":["Nature Inspired Computation and Applications Laboratory, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Nature Inspired Computation and Applications Laboratory, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["CERCIA, School of Computer Science, University of Birmingham, Edgbaston, UK","Nature Inspired Computation and Applications Laboratory, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"CERCIA, School of Computer Science, University of Birmingham, Edgbaston, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"Nature Inspired Computation and Applications Laboratory, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075875631"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":20.923,"has_fulltext":false,"cited_by_count":164,"citation_normalized_percentile":{"value":0.9937771,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":"4","first_page":"647","last_page":"660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.986299991607666,"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":0.9815999865531921,"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/boosting","display_name":"Boosting (machine learning)","score":0.7401459217071533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6967858672142029},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6795415878295898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6456563472747803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6241745352745056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6174319982528687},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5514774918556213},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.49880290031433105},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4558694064617157},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.43755829334259033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3901631236076355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20183488726615906},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1135832667350769}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7401459217071533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6967858672142029},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6795415878295898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6456563472747803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6241745352745056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6174319982528687},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5514774918556213},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.49880290031433105},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4558694064617157},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.43755829334259033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3901631236076355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20183488726615906},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1135832667350769},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","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}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2012.2228231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2012.2228231","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:24808384","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24808384","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W48170608","https://openalex.org/W167016754","https://openalex.org/W179756838","https://openalex.org/W1563938718","https://openalex.org/W1591261915","https://openalex.org/W1600199800","https://openalex.org/W1659842140","https://openalex.org/W1912982817","https://openalex.org/W1941659294","https://openalex.org/W1985442349","https://openalex.org/W2003381716","https://openalex.org/W2006475033","https://openalex.org/W2018186689","https://openalex.org/W2019858993","https://openalex.org/W2024223694","https://openalex.org/W2040010062","https://openalex.org/W2043080228","https://openalex.org/W2053724458","https://openalex.org/W2058732827","https://openalex.org/W2078885513","https://openalex.org/W2096235960","https://openalex.org/W2099550922","https://openalex.org/W2103614420","https://openalex.org/W2104933073","https://openalex.org/W2106479238","https://openalex.org/W2112076978","https://openalex.org/W2118978333","https://openalex.org/W2119168155","https://openalex.org/W2119191234","https://openalex.org/W2124710650","https://openalex.org/W2132791018","https://openalex.org/W2135493362","https://openalex.org/W2139393465","https://openalex.org/W2142279020","https://openalex.org/W2148143831","https://openalex.org/W2155653793","https://openalex.org/W2157825442","https://openalex.org/W2168020168","https://openalex.org/W2912934387","https://openalex.org/W3120740533","https://openalex.org/W4212883601","https://openalex.org/W4252684946","https://openalex.org/W6601964875","https://openalex.org/W6606837198","https://openalex.org/W6633571703","https://openalex.org/W6670295748","https://openalex.org/W6675634716","https://openalex.org/W6676769703","https://openalex.org/W6680391020","https://openalex.org/W6680919041"],"related_works":["https://openalex.org/W4239608116","https://openalex.org/W2002382339","https://openalex.org/W2592003259","https://openalex.org/W4300235460","https://openalex.org/W2964269045","https://openalex.org/W2154615742","https://openalex.org/W2018029919","https://openalex.org/W1558422673","https://openalex.org/W4376528628","https://openalex.org/W2470590370"],"abstract_inverted_index":{"Class":[0],"imbalance":[1,32],"learning":[2,5,122],"tackles":[3],"supervised":[4],"problems":[6,33],"where":[7],"some":[8],"classes":[9],"have":[10,99],"significantly":[11],"more":[12],"examples":[13],"than":[14],"others.":[15],"Most":[16],"of":[17,50,66],"the":[18,51,59,64,72,83,115],"existing":[19],"research":[20],"focused":[21],"only":[22],"on":[23,104],"binary-class":[24],"cases.":[25],"In":[26,45,85],"this":[27],"paper,":[28],"we":[29],"study":[30],"multiclass":[31,106],"and":[34,62,90,94,126],"propose":[35],"a":[36],"dynamic":[37],"sampling":[38],"method":[39],"(DyS)":[40],"for":[41,47,70],"multilayer":[42],"perceptrons":[43],"(MLP).":[44],"DyS,":[46],"each":[48],"epoch":[49],"training":[52,71],"process,":[53],"every":[54],"example":[55],"is":[56,74],"fed":[57],"to":[58,81,87],"current":[60],"MLP":[61,73],"then":[63],"probability":[65],"it":[67],"being":[68],"selected":[69],"estimated.":[75],"DyS":[76,89,112],"dynamically":[77],"selects":[78],"informative":[79],"data":[80,108],"train":[82],"MLP.":[84],"order":[86],"evaluate":[88],"understand":[91],"its":[92],"strength":[93],"weakness,":[95],"comprehensive":[96],"experimental":[97],"studies":[98],"been":[100],"carried":[101],"out.":[102],"Results":[103],"20":[105],"imbalanced":[107],"sets":[109],"show":[110],"that":[111],"can":[113],"outperform":[114],"compared":[116],"methods,":[117,120,123,125],"including":[118],"pre-sample":[119],"active":[121],"cost-sensitive":[124],"boosting-type":[127],"methods.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":19},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":5}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}