{"id":"https://openalex.org/W2115788596","doi":"https://doi.org/10.1109/ijcnn.2003.1223847","title":"Support vector machines for multi-class signal classification with unbalanced samples","display_name":"Support vector machines for multi-class signal classification with unbalanced samples","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2115788596","doi":"https://doi.org/10.1109/ijcnn.2003.1223847","mag":"2115788596"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5101615874","display_name":"Peng Xu","orcid":"https://orcid.org/0000-0001-5756-3494"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng Xu","raw_affiliation_strings":["Department of Electrical Engineering, Texas A and M University, College Station, TX, USA","Dept. of Electr Eng., Texas A&M Univ., College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Dept. of Electr Eng., Texas A&M Univ., College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103385729","display_name":"Andrew K. Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A.K. Chan","raw_affiliation_strings":["Department of Electrical Engineering, Texas A and M University, College Station, TX, USA","Dept. of Electr Eng., Texas A&M Univ., College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Dept. of Electr Eng., Texas A&M Univ., College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101615874"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.1217,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.78578363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2","issue":null,"first_page":"1116","last_page":"1119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9975000023841858,"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"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9257837533950806},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.7130871415138245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6786431670188904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6744153499603271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.637900710105896},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6333843469619751},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6271786093711853},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.5876655578613281},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47723010182380676},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.42963874340057373},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.42564114928245544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.395209401845932},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21206384897232056}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.9257837533950806},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.7130871415138245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6786431670188904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744153499603271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.637900710105896},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6333843469619751},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6271786093711853},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.5876655578613281},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47723010182380676},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.42963874340057373},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.42564114928245544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.395209401845932},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21206384897232056},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2169610","https://openalex.org/W1547701650","https://openalex.org/W1548139318","https://openalex.org/W1576520375","https://openalex.org/W2116444583","https://openalex.org/W2119821739","https://openalex.org/W2128869768","https://openalex.org/W2137346077","https://openalex.org/W2169542477","https://openalex.org/W2172000360","https://openalex.org/W4230674625","https://openalex.org/W4239510810","https://openalex.org/W6600089577","https://openalex.org/W6632694911","https://openalex.org/W6634442568","https://openalex.org/W6676996525","https://openalex.org/W6678899444","https://openalex.org/W6680235779"],"related_works":["https://openalex.org/W2565312173","https://openalex.org/W2186666570","https://openalex.org/W2104936869","https://openalex.org/W2122277321","https://openalex.org/W2206547991","https://openalex.org/W2143867687","https://openalex.org/W3144681993","https://openalex.org/W1948992892","https://openalex.org/W4311365199","https://openalex.org/W2364362706"],"abstract_inverted_index":{"Support":[0],"vector":[1],"machines":[2],"(SVMs)":[3],"were":[4],"originally":[5],"developed":[6],"for":[7],"binary":[8,29,42,61],"classification.":[9],"To":[10],"extend":[11],"it":[12],"to":[13,21,73,92],"multi-class":[14,76],"pattern":[15],"recognition,":[16],"one":[17],"popular":[18],"approach":[19],"is":[20,46,63,90],"consider":[22],"the":[23,54,75,80],"problem":[24,97],"as":[25],"a":[26,41,71,84],"collection":[27],"of":[28,35],"classification":[30,96],"problems,":[31],"so":[32],"that":[33,49],"each":[34,59],"them":[36],"may":[37],"be":[38],"solved":[39],"by":[40,78],"SVM.":[43],"However,":[44],"there":[45],"no":[47],"guarantee":[48],"these":[50],"SVMs":[51,77],"will":[52],"achieve":[53],"optimal":[55],"solution":[56],"even":[57],"though":[58],"individual":[60],"SVM":[62],"well":[64],"trained.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69],"propose":[70],"method":[72,89],"optimize":[74],"adjusting":[79],"penalty":[81],"parameters":[82],"using":[83],"genetic":[85],"algorithm":[86],"(GA).":[87],"The":[88],"applied":[91],"an":[93],"acoustic":[94],"signal":[95],"with":[98],"very":[99],"promising":[100],"results.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
