{"id":"https://openalex.org/W4285273009","doi":"https://doi.org/10.1109/tkde.2022.3182327","title":"Boundary-Focused Generative Adversarial Networks for Imbalanced and Multimodal Time Series","display_name":"Boundary-Focused Generative Adversarial Networks for Imbalanced and Multimodal Time Series","publication_year":2022,"publication_date":"2022-06-13","ids":{"openalex":"https://openalex.org/W4285273009","doi":"https://doi.org/10.1109/tkde.2022.3182327"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3182327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3182327","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5015351108","display_name":"Han Kyu Lee","orcid":"https://orcid.org/0000-0002-0949-3345"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Han Kyu Lee","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767320","display_name":"Jiyoon Lee","orcid":"https://orcid.org/0000-0003-0801-0193"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiyoon Lee","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058258354","display_name":"Seoung Bum Kim","orcid":"https://orcid.org/0000-0002-2205-8516"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seoung Bum Kim","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015351108"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":1.4588,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84596779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"34","issue":"9","first_page":"4102","last_page":"4118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9952999949455261,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9952999949455261,"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/T11309","display_name":"Music and Audio Processing","score":0.9868999719619751,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9740999937057495,"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/oversampling","display_name":"Oversampling","score":0.9473353624343872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7802245616912842},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5758193135261536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5174725651741028},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.504109263420105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5039791464805603},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.501237154006958},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4915381371974945},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48378846049308777},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.47716206312179565},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.45274457335472107},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43242311477661133}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9473353624343872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7802245616912842},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5758193135261536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5174725651741028},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.504109263420105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5039791464805603},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.501237154006958},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4915381371974945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48378846049308777},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.47716206312179565},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.45274457335472107},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43242311477661133},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3182327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3182327","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1879426595","display_name":null,"funder_award_id":"P0008691","funder_id":"https://openalex.org/F4320322064","funder_display_name":"Korea Institute for Advancement of Technology"}],"funders":[{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W218853445","https://openalex.org/W1517728993","https://openalex.org/W1522301498","https://openalex.org/W1565746575","https://openalex.org/W1591261915","https://openalex.org/W1904365287","https://openalex.org/W1964089172","https://openalex.org/W1977245551","https://openalex.org/W1993220166","https://openalex.org/W1997568535","https://openalex.org/W2006783944","https://openalex.org/W2015452969","https://openalex.org/W2015681982","https://openalex.org/W2039260438","https://openalex.org/W2040181375","https://openalex.org/W2041184937","https://openalex.org/W2049877533","https://openalex.org/W2053724458","https://openalex.org/W2088220893","https://openalex.org/W2104167780","https://openalex.org/W2104933073","https://openalex.org/W2107686700","https://openalex.org/W2110383222","https://openalex.org/W2125389028","https://openalex.org/W2128965734","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2149308034","https://openalex.org/W2155653793","https://openalex.org/W2156909104","https://openalex.org/W2164330572","https://openalex.org/W2173259274","https://openalex.org/W2285341434","https://openalex.org/W2470673105","https://openalex.org/W2490420619","https://openalex.org/W2565878800","https://openalex.org/W2756182389","https://openalex.org/W2774049169","https://openalex.org/W2794821752","https://openalex.org/W2800395558","https://openalex.org/W2804029648","https://openalex.org/W2884851420","https://openalex.org/W2950776302","https://openalex.org/W2962940403","https://openalex.org/W2963250052","https://openalex.org/W2963684088","https://openalex.org/W4295274059","https://openalex.org/W4301186107","https://openalex.org/W4412773435","https://openalex.org/W6603460400","https://openalex.org/W6608790104","https://openalex.org/W6631190155","https://openalex.org/W6637568146","https://openalex.org/W6640036494","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6685777725","https://openalex.org/W6718343364","https://openalex.org/W6729482032","https://openalex.org/W6736155344"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W2781247653","https://openalex.org/W4206637278","https://openalex.org/W4386005305","https://openalex.org/W3082051559","https://openalex.org/W1682621979","https://openalex.org/W4386214543","https://openalex.org/W1969988626","https://openalex.org/W2141301039","https://openalex.org/W3173198409"],"abstract_inverted_index":{"Class":[0],"imbalance":[1,19],"problems":[2],"have":[3],"been":[4],"reported":[5],"as":[6,149],"a":[7,47,75,79,89,99,115,122,133],"major":[8],"issue":[9],"in":[10,21,102,136],"various":[11],"applications.":[12],"Classification":[13],"becomes":[14],"further":[15],"complicated":[16],"when":[17,143],"an":[18,56,150,154],"occurs":[20],"time":[22,28,65,157],"series":[23,29,66,158],"data":[24,103,142,159],"sets.":[25],"To":[26],"address":[27],"data,":[30],"it":[31],"is":[32,46,147],"necessary":[33],"to":[34],"consider":[35,61],"their":[36],"characteristics":[37,63],"(i.e.,":[38],"high":[39,41],"dimensionality,":[40],"correlations,":[42],"and":[43,118],"multimodality).":[44],"Oversampling":[45],"well-known":[48],"approach":[49,57],"for":[50,94,153],"addressing":[51],"this":[52],"problem;":[53],"however,":[54],"such":[55],"does":[58],"not":[59],"appropriately":[60],"the":[62,96,106,137,140,144],"of":[64,98,139],"data.":[67],"This":[68],"paper":[69],"addresses":[70],"these":[71],"limitations":[72],"by":[73,120],"presenting":[74],"model-based":[76],"oversampling":[77,151],"approach,":[78],"boundary-focused":[80],"generative":[81],"adversarial":[82],"network":[83],"(BFGAN).":[84],"The":[85],"proposed":[86,145],"BFGAN":[87,107,146],"employs":[88],"specifically":[90],"designed":[91],"additional":[92],"label":[93],"reflecting":[95],"importance":[97,119],"sample's":[100,116],"position":[101],"space.":[104],"Furthermore,":[105],"generates":[108],"artificial":[109],"samples":[110],"after":[111],"taking":[112],"into":[113],"consideration":[114],"multimodality":[117],"using":[121],"suitable":[123],"modified":[124],"GAN":[125],"structure.":[126],"We":[127],"present":[128],"empirical":[129],"results":[130],"that":[131],"reveal":[132],"significant":[134],"improvement":[135],"quality":[138],"generated":[141],"used":[148],"algorithm":[152],"imbalanced":[155],"multimodal":[156],"set.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}