{"id":"https://openalex.org/W2325025403","doi":"https://doi.org/10.1515/jisys-2015-0087","title":"Multiclass Contour-Preserving Classification with Support Vector Machine (SVM)","display_name":"Multiclass Contour-Preserving Classification with Support Vector Machine (SVM)","publication_year":2016,"publication_date":"2016-02-27","ids":{"openalex":"https://openalex.org/W2325025403","doi":"https://doi.org/10.1515/jisys-2015-0087","mag":"2325025403"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2015-0087","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2015-0087","pdf_url":null,"source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1515/jisys-2015-0087","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086188922","display_name":"Piyabute Fuangkhon","orcid":"https://orcid.org/0000-0002-6935-3061"},"institutions":[{"id":"https://openalex.org/I115748381","display_name":"Assumption University","ror":"https://ror.org/03zmqc707","country_code":"TH","type":"education","lineage":["https://openalex.org/I115748381"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Piyabute Fuangkhon","raw_affiliation_strings":["Department of Business Information Systems, Assumption University, Samut Prakan 10540, Kingdom of Thailand","1Department of Business Information Systems, Assumption University, Samut Prakan 10540, Kingdom of Thailand"],"raw_orcid":"https://orcid.org/0000-0002-6935-3061","affiliations":[{"raw_affiliation_string":"Department of Business Information Systems, Assumption University, Samut Prakan 10540, Kingdom of Thailand","institution_ids":["https://openalex.org/I115748381"]},{"raw_affiliation_string":"1Department of Business Information Systems, Assumption University, Samut Prakan 10540, Kingdom of Thailand","institution_ids":["https://openalex.org/I115748381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5086188922"],"corresponding_institution_ids":["https://openalex.org/I115748381"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.8834,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8347988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"26","issue":"2","first_page":"323","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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":0.9984999895095825,"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":0.998199999332428,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9944000244140625,"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":0.834957480430603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7117419242858887},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.6911320686340332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6875617504119873},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.677838146686554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6020526885986328},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5687472820281982},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.5679293274879456},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.5490570068359375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5125527381896973},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5015337467193604},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4788910448551178},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4659838080406189},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46380069851875305},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3866456151008606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2049015760421753}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.834957480430603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7117419242858887},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.6911320686340332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6875617504119873},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.677838146686554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6020526885986328},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5687472820281982},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.5679293274879456},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.5490570068359375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5125527381896973},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5015337467193604},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4788910448551178},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4659838080406189},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46380069851875305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3866456151008606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2049015760421753},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2015-0087","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2015-0087","pdf_url":null,"source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d2c0e32875804d9987de7460ec6a89d0","is_oa":true,"landing_page_url":"https://doaj.org/article/d2c0e32875804d9987de7460ec6a89d0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Intelligent Systems, Vol 26, Iss 2, Pp 323-334 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2015-0087","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2015-0087","pdf_url":null,"source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W170971966","https://openalex.org/W563852649","https://openalex.org/W2018720693","https://openalex.org/W2118374199","https://openalex.org/W2119821739","https://openalex.org/W2153635508","https://openalex.org/W2161976581","https://openalex.org/W3120421331","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2215801697","https://openalex.org/W2377594824","https://openalex.org/W2098385475","https://openalex.org/W2181322573","https://openalex.org/W2039745824","https://openalex.org/W1537592868","https://openalex.org/W2470590370","https://openalex.org/W2606980027","https://openalex.org/W2367818765","https://openalex.org/W2509325231"],"abstract_inverted_index":{"Abstract":[0],"Multiclass":[1],"contour-preserving":[2],"classification":[3,19,147],"(MCOV)":[4],"has":[5],"been":[6],"used":[7],"to":[8],"preserve":[9],"the":[10,13,18,46,49,63,75,99,107,114,123,136,145],"contour":[11],"of":[12,21,30,48,55,65,68,98,106,116,133],"data":[14,111,142],"set":[15],"and":[16,39,71,92,109,122],"improve":[17,144],"accuracy":[20,148],"a":[22,60],"feed-forward":[23],"neural":[24],"network.":[25],"It":[26],"synthesizes":[27],"two":[28],"types":[29,97],"new":[31],"instances,":[32],"called":[33],"fundamental":[34],"multiclass":[35,41],"outpost":[36,42],"vector":[37,43,81],"(FMCOV)":[38],"additional":[40],"(AMCOV),":[44],"in":[45],"middle":[47],"decision":[50],"boundary":[51],"between":[52],"consecutive":[53],"classes":[54],"data.":[56],"This":[57],"paper":[58],"presents":[59],"comparison":[61],"on":[62,74,95,135],"generalization":[64],"an":[66,131],"inclusion":[67,132],"FMCOVs,":[69],"AMCOVs,":[70],"both":[72],"MCOVs":[73],"final":[76,100,137],"training":[77,101,138],"sets":[78,102,112,139],"with":[79],"support":[80],"machine":[82,119],"(SVM).":[83],"The":[84,126],"experiments":[85],"were":[86],"carried":[87],"out":[88],"using":[89],"MATLAB":[90],"R2015a":[91],"LIBSVM":[93],"v3.20":[94],"seven":[96],"generated":[103],"from":[104,113],"each":[105],"synthetic":[108],"real-world":[110],"University":[115],"California":[117],"Irvine":[118],"learning":[120],"repository":[121],"ELENA":[124],"project.":[125],"experimental":[127],"results":[128],"confirm":[129],"that":[130],"FMCOVs":[134],"having":[140],"raw":[141],"can":[143],"SVM":[146],"significantly.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-12-06T23:10:59.065948","created_date":"2016-06-24T00:00:00"}
