{"id":"https://openalex.org/W2115405795","doi":"https://doi.org/10.1142/s0129065709001859","title":"A COMPARATIVE STUDY OF DATA SAMPLING TECHNIQUES FOR CONSTRUCTING NEURAL NETWORK ENSEMBLES","display_name":"A COMPARATIVE STUDY OF DATA SAMPLING TECHNIQUES FOR CONSTRUCTING NEURAL NETWORK ENSEMBLES","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2115405795","doi":"https://doi.org/10.1142/s0129065709001859","mag":"2115405795","pmid":"https://pubmed.ncbi.nlm.nih.gov/19496204"},"language":"en","primary_location":{"id":"doi:10.1142/s0129065709001859","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065709001859","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural 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/A5043721074","display_name":"M. A. H. Akhand","orcid":"https://orcid.org/0000-0001-5465-8519"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"M. A. H. AKHAND","raw_affiliation_strings":["Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan","Graduate School of Engineering, University of Fukui 3-9-1, Bunkyo, Fukui, 910-8507, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui 3-9-1, Bunkyo, Fukui, 910-8507, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319150","display_name":"Md. Monirul Islam","orcid":"https://orcid.org/0000-0001-8510-0593"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"MD. MONIRUL ISLAM","raw_affiliation_strings":["Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan","Graduate School of Engineering, University of Fukui 3-9-1, Bunkyo, Fukui, 910-8507, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui 3-9-1, Bunkyo, Fukui, 910-8507, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018767527","display_name":"Kazuyuki Murase","orcid":"https://orcid.org/0000-0002-2358-995X"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"KAZUYUKI MURASE","raw_affiliation_strings":["Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan","Research and Education Program for Life Science, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan","institution_ids":["https://openalex.org/I111966504"]},{"raw_affiliation_string":"Research and Education Program for Life Science, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan","institution_ids":["https://openalex.org/I111966504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043721074"],"corresponding_institution_ids":["https://openalex.org/I111966504"],"apc_list":null,"apc_paid":null,"fwci":6.9789,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96943942,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"02","first_page":"67","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987999796867371,"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/T10320","display_name":"Neural Networks and Applications","score":0.9987999796867371,"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":0.9939000010490417,"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/T10057","display_name":"Face and Expression Recognition","score":0.992900013923645,"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/boosting","display_name":"Boosting (machine learning)","score":0.8227053880691528},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6981675028800964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.687475323677063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6818271279335022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6760027408599854},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.616075873374939},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5931465029716492},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5618950128555298},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5395106673240662},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4881187379360199},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.484237402677536},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41791605949401855},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4104830026626587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3705761432647705},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3657548427581787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19931071996688843}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8227053880691528},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6981675028800964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.687475323677063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6818271279335022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6760027408599854},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.616075873374939},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5931465029716492},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5618950128555298},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5395106673240662},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4881187379360199},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.484237402677536},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41791605949401855},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4104830026626587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3705761432647705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3657548427581787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19931071996688843},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001330","descriptor_name":"Electronic Data Processing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001330","descriptor_name":"Electronic Data Processing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001330","descriptor_name":"Electronic Data Processing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","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":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0129065709001859","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065709001859","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},{"id":"pmid:19496204","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19496204","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":"International journal of neural systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W51589798","https://openalex.org/W1482784728","https://openalex.org/W1536929369","https://openalex.org/W1556182636","https://openalex.org/W1580948147","https://openalex.org/W1596825420","https://openalex.org/W1992018127","https://openalex.org/W2005549996","https://openalex.org/W2026254555","https://openalex.org/W2026869578","https://openalex.org/W2061119986","https://openalex.org/W2067755824","https://openalex.org/W2084812512","https://openalex.org/W2100805904","https://openalex.org/W2105183740","https://openalex.org/W2106390255","https://openalex.org/W2109390841","https://openalex.org/W2112076978","https://openalex.org/W2113242816","https://openalex.org/W2115937354","https://openalex.org/W2116374865","https://openalex.org/W2117085409","https://openalex.org/W2124776405","https://openalex.org/W2134473739","https://openalex.org/W2152761983","https://openalex.org/W2168046285","https://openalex.org/W2285257517","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W3152294918","https://openalex.org/W4210925605","https://openalex.org/W6634263704"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W3108206494","https://openalex.org/W2905156999","https://openalex.org/W2739726746","https://openalex.org/W4229460275","https://openalex.org/W4242380336","https://openalex.org/W2052615004","https://openalex.org/W2073883415","https://openalex.org/W4296079469","https://openalex.org/W2089304832"],"abstract_inverted_index":{"Ensembles":[0],"with":[1],"several":[2],"classifiers":[3,27],"(such":[4],"as":[5,179],"neural":[6,85,107],"networks":[7,86,172],"or":[8,87,181],"decision":[9,88],"trees)":[10],"are":[11,82,92,154],"widely":[12],"used":[13],"to":[14,84,95,173,185],"improve":[15],"the":[16,74,126,150,160],"generalization":[17,129],"performance":[18],"over":[19],"a":[20,117],"single":[21],"classifier.":[22],"Proper":[23],"diversity":[24,131],"among":[25],"component":[26],"is":[28,58,132,177],"considered":[29],"an":[30],"important":[31],"parameter":[32],"for":[33,55,106],"ensemble":[34,68,135,152],"construction":[35],"so":[36],"that":[37,146,168,189],"failure":[38],"of":[39,67,76,98,159],"one":[40],"may":[41],"be":[42],"compensated":[43],"by":[44],"others.":[45],"Among":[46],"various":[47],"approaches,":[48],"data":[49,53,77,103],"sampling,":[50],"i.e.,":[51],"different":[52,56,171,174,192],"sets":[54],"classifiers,":[57],"found":[59,145],"more":[60],"effective":[61],"than":[62,157],"other":[63,161],"approaches.":[64],"A":[65],"number":[66],"methods":[69,136],"have":[70],"been":[71],"proposed":[72,162],"under":[73],"umbrella":[75],"sampling":[78,104],"in":[79],"which":[80],"some":[81],"constrained":[83],"trees":[89],"and":[90,110,124,130,148,187],"others":[91],"commonly":[93],"applicable":[94],"both":[96],"types":[97],"classifiers.":[99],"We":[100,144],"studied":[101],"prominent":[102],"techniques":[105],"network":[108],"ensembles,":[109],"then":[111],"experimentally":[112],"evaluated":[113],"their":[114],"effectiveness":[115],"on":[116,122,139],"common":[118],"test":[119],"ground.":[120],"Based":[121],"overlap":[123],"uncover,":[125],"relation":[127],"between":[128],"presented.":[133],"Eight":[134],"were":[137],"tested":[138],"30":[140],"benchmark":[141],"classification":[142],"problems.":[143],"bagging":[147,186],"boosting,":[149],"pioneer":[151],"methods,":[153],"still":[155],"better":[156,180],"most":[158],"methods.":[163],"However,":[164],"negative":[165],"correlation":[166],"learning":[167],"implicitly":[169],"encourages":[170],"training":[175,193],"spaces":[176],"shown":[178],"at":[182],"least":[183],"comparable":[184],"boosting":[188],"explicitly":[190],"create":[191],"spaces.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
