{"id":"https://openalex.org/W2051670755","doi":"https://doi.org/10.1109/grc.2005.1547258","title":"Support vector machines with evolutionary interval neural networks for granular feature transformation in making effective biomedical data classification","display_name":"Support vector machines with evolutionary interval neural networks for granular feature transformation in making effective biomedical data classification","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2051670755","doi":"https://doi.org/10.1109/grc.2005.1547258","mag":"2051670755"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2005.1547258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Granular Computing","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/A5045821992","display_name":"Bo Jin","orcid":"https://orcid.org/0000-0001-9268-7134"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"B. Jin","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666809","display_name":"Yali Zhang","orcid":"https://orcid.org/0000-0002-9331-0168"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y.-Q. Zhang","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":null,"display_name":"X.T. Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"X.T. Hu","raw_affiliation_strings":["College of Information Science and Technology, Drexel University, Philadelphia, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045821992"],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11668062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"166 Vol. 1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9879999756813049,"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/support-vector-machine","display_name":"Support vector machine","score":0.736948549747467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692055344581604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6840893030166626},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6825524568557739},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6328188180923462},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6127580404281616},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5671396255493164},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.564874529838562},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5228819847106934},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5201449990272522},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46551111340522766},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.45279890298843384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3919869661331177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1605307161808014},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.1540014147758484}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.736948549747467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692055344581604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6840893030166626},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6825524568557739},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6328188180923462},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6127580404281616},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5671396255493164},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.564874529838562},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5228819847106934},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5201449990272522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46551111340522766},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.45279890298843384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3919869661331177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1605307161808014},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.1540014147758484},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2005.1547258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1597717349","https://openalex.org/W1653273292","https://openalex.org/W1965059296","https://openalex.org/W1975884452","https://openalex.org/W2014374971","https://openalex.org/W2084812512","https://openalex.org/W2097839764","https://openalex.org/W2109638028","https://openalex.org/W2113362355","https://openalex.org/W2119821739","https://openalex.org/W2142183404","https://openalex.org/W2148603752","https://openalex.org/W2149365847","https://openalex.org/W2150039764","https://openalex.org/W2156909104","https://openalex.org/W2170388968","https://openalex.org/W2544883878","https://openalex.org/W3165241807","https://openalex.org/W4236065546","https://openalex.org/W4239510810","https://openalex.org/W4255996415","https://openalex.org/W4301173492","https://openalex.org/W6674582357","https://openalex.org/W6676514679","https://openalex.org/W6676529941","https://openalex.org/W6682212985","https://openalex.org/W6685404504"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2126964472","https://openalex.org/W2396711959","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W3041827036","https://openalex.org/W1993493607","https://openalex.org/W2021957875"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"use":[4],"new":[5],"evolutionary":[6,22,52],"interval":[7,53],"neural":[8,19,54],"networks":[9,55],"to":[10,24],"do":[11],"granular":[12,17],"feature":[13],"transformation":[14],"based":[15],"on":[16],"computing,":[18],"computing":[20],"and":[21,33],"computation":[23],"alleviate":[25],"kernel's":[26],"burden":[27],"in":[28,63],"support":[29],"vector":[30],"machines":[31],"(SVMs)":[32],"help":[34],"SVMs":[35,49,62],"learn":[36],"knowledge":[37],"effectively.":[38],"Simulation":[39],"results":[40],"for":[41],"three":[42],"different":[43],"medical":[44],"data":[45],"sets":[46],"show":[47],"that":[48],"using":[50],"the":[51,60],"are":[56],"more":[57],"effective":[58],"than":[59],"traditional":[61],"terms":[64],"of":[65],"testing":[66],"accuracy.":[67]},"counts_by_year":[],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
