{"id":"https://openalex.org/W2101799834","doi":"https://doi.org/10.1109/ijcnn.2008.4634207","title":"Investigating the influence of RePART in ensemble systems designed by boosting","display_name":"Investigating the influence of RePART in ensemble systems designed by boosting","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2101799834","doi":"https://doi.org/10.1109/ijcnn.2008.4634207","mag":"2101799834"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5113792275","display_name":"Araken M. Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I94328231","display_name":"University of Rio Grande and Rio Grande Community College","ror":"https://ror.org/02sghbs34","country_code":"US","type":"education","lineage":["https://openalex.org/I94328231"]}],"countries":["BR","US"],"is_corresponding":true,"raw_author_name":"Araken M. Santos","raw_affiliation_strings":["Informatics and Applied Department, Federal University of Rio Grande do Norte, Brazil","Inf. & Appl. Dept., Fed. Univ. of Rio Grande do Norte, Rio Grande"],"affiliations":[{"raw_affiliation_string":"Informatics and Applied Department, Federal University of Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Inf. & Appl. Dept., Fed. Univ. of Rio Grande do Norte, Rio Grande","institution_ids":["https://openalex.org/I94328231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019144108","display_name":"Anne M. P. Canuto","orcid":"https://orcid.org/0000-0002-3684-3814"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]},{"id":"https://openalex.org/I94328231","display_name":"University of Rio Grande and Rio Grande Community College","ror":"https://ror.org/02sghbs34","country_code":"US","type":"education","lineage":["https://openalex.org/I94328231"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Anne M. P. Canuto","raw_affiliation_strings":["Informatics and Applied Department, Federal University of Rio Grande do Norte, Brazil","Inf. & Appl. Dept., Fed. Univ. of Rio Grande do Norte, Rio Grande"],"affiliations":[{"raw_affiliation_string":"Informatics and Applied Department, Federal University of Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Inf. & Appl. Dept., Fed. Univ. of Rio Grande do Norte, Rio Grande","institution_ids":["https://openalex.org/I94328231"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113792275"],"corresponding_institution_ids":["https://openalex.org/I35046152","https://openalex.org/I94328231"],"apc_list":null,"apc_paid":null,"fwci":1.7161,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87565422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2907","last_page":"2914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9824000000953674,"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":0.9673568606376648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6947293877601624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6649615168571472},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6525887250900269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6265692114830017}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9673568606376648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6947293877601624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6649615168571472},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6525887250900269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6265692114830017}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W166951565","https://openalex.org/W1479946730","https://openalex.org/W1512098439","https://openalex.org/W1558681987","https://openalex.org/W1591968186","https://openalex.org/W1693240635","https://openalex.org/W1984879178","https://openalex.org/W2015857587","https://openalex.org/W2024731684","https://openalex.org/W2084812512","https://openalex.org/W2118519362","https://openalex.org/W2125055259","https://openalex.org/W2147169507","https://openalex.org/W2155210259","https://openalex.org/W2166280719","https://openalex.org/W2187740483","https://openalex.org/W2487087946","https://openalex.org/W2494948262","https://openalex.org/W2747830857","https://openalex.org/W4211007335","https://openalex.org/W4244238212","https://openalex.org/W4253135636","https://openalex.org/W6633288356","https://openalex.org/W6677458693","https://openalex.org/W6742824934"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3082059448","https://openalex.org/W4313640622","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"investigation":[4],"of":[5,8,19,25,43],"the":[6,9,41,61],"influence":[7],"RePART":[10],"(Reward":[11],"and":[12,29],"Punishment":[13],"ARTmap)":[14],"neural":[15],"network":[16],"in":[17,67],"structures":[18],"ensembles":[20],"designed":[21],"by":[22],"three":[23],"variants":[24],"boosting:":[26],"Aggressive,":[27],"Conservative":[28],"Inverse":[30],"Boosting.":[31],"In":[32,51],"this":[33,44],"investigation,":[34],"it":[35,53],"is":[36,46,60],"aimed":[37],"to":[38,55,64],"analyze":[39],"whether":[40],"use":[42],"model":[45],"positive":[47],"for":[48],"ARTMAP-based":[49,68],"ensembles.":[50,69],"addition,":[52],"aims":[54],"define":[56],"which":[57],"boosting":[58],"strategy":[59],"most":[62],"suitable":[63],"be":[65],"used":[66]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
