{"id":"https://openalex.org/W4243618146","doi":"https://doi.org/10.23919/icact.2018.8323670","title":"General labelled data generator framework for network machine learning","display_name":"General labelled data generator framework for network machine learning","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W4243618146","doi":"https://doi.org/10.23919/icact.2018.8323670"},"language":"en","primary_location":{"id":"doi:10.23919/icact.2018.8323670","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2018.8323670","pdf_url":null,"source":{"id":"https://openalex.org/S4363608106","display_name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","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/A5044712507","display_name":"Kwihoon Kim","orcid":"https://orcid.org/0000-0002-0798-1687"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kwihoon Kim","raw_affiliation_strings":["ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717144","display_name":"Yong-Geun Hong","orcid":"https://orcid.org/0000-0003-2974-3820"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong-Geun Hong","raw_affiliation_strings":["ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027634067","display_name":"Youn\u2010Hee Han","orcid":"https://orcid.org/0000-0002-5835-7972"},"institutions":[{"id":"https://openalex.org/I35886859","display_name":"Korea University of Technology and Education","ror":"https://ror.org/053nycv62","country_code":"KR","type":"education","lineage":["https://openalex.org/I35886859"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youn-Hee Han","raw_affiliation_strings":["KOREATECH, Cheonan-si, Chungcheongnam-do, Korea"],"affiliations":[{"raw_affiliation_string":"KOREATECH, Cheonan-si, Chungcheongnam-do, Korea","institution_ids":["https://openalex.org/I35886859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044712507"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.077,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51021635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908999800682068,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908999800682068,"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":0.9836000204086304,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9818000197410583,"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/computer-science","display_name":"Computer science","score":0.8232822418212891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7963624000549316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6791418790817261},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6201701760292053},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5365951061248779},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5182744860649109},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4611639380455017},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.4480496048927307},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08130785822868347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8232822418212891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7963624000549316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6791418790817261},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6201701760292053},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5365951061248779},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5182744860649109},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4611639380455017},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4480496048927307},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08130785822868347},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact.2018.8323670","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2018.8323670","pdf_url":null,"source":{"id":"https://openalex.org/S4363608106","display_name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325370","display_name":"National Research Council of Science and Technology","ror":"https://ror.org/058rymf81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2128569883","https://openalex.org/W2194775991","https://openalex.org/W2279025312","https://openalex.org/W2477563955","https://openalex.org/W2566425973","https://openalex.org/W2586024478","https://openalex.org/W2740817166","https://openalex.org/W2758296822","https://openalex.org/W3126135128","https://openalex.org/W6744749404","https://openalex.org/W6790608945"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W4375867731","https://openalex.org/W3151736118","https://openalex.org/W4362495644","https://openalex.org/W2611989081","https://openalex.org/W2962780935","https://openalex.org/W4387896177","https://openalex.org/W4385557855","https://openalex.org/W4287236333","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"technology":[3,14,19,150],"has":[4],"made":[5,58],"remarkable":[6],"achievements":[7],"in":[8,25,170],"various":[9],"fields.":[10],"Especially,":[11],"deep":[12],"learning":[13,103,149,185],"that":[15,51,72],"is":[16,94,109],"the":[17,64,105,165,173,182,189],"representative":[18],"of":[20,66,97,124,175,178,184],"AI,":[21],"showed":[22],"high":[23],"accuracy":[24],"speech":[26],"recognition,":[27,29,31],"image":[28],"pattern":[30],"natural":[32],"language":[33],"processing":[34],"and":[35,49,107,151,181,186],"translation.":[36],"In":[37,63,141],"addition,":[38],"there":[39,93,119,132],"are":[40,133,192],"many":[41],"interesting":[42],"research":[43],"results":[44,174,183],"such":[45],"as":[46],"art,":[47],"literature":[48],"music":[50],"cannot":[52],"be":[53,78],"distinguished":[54],"whether":[55],"it":[56,108],"was":[57],"by":[59],"human":[60],"or":[61,80],"AI.":[62],"field":[65],"networks,":[67],"attempts":[68],"to":[69,77,87,100,104,111,115,126,136,155],"solve":[70],"problems":[71,82],"have":[73,85,120],"not":[74],"been":[75,121],"able":[76],"solved":[79],"complex":[81],"using":[83],"AI":[84],"started":[86],"become":[88],"a":[89,95,122,138,153],"global":[90],"trend.":[91],"However,":[92],"lack":[96],"data":[98,158,166,180],"sets":[99],"apply":[101],"machine":[102,129,148,161],"network":[106,113,128,147,160],"difficult":[110],"know":[112],"problem":[114],"solve.":[116],"So":[117],"far,":[118],"lot":[123],"efforts":[125],"study":[127],"learning,":[130],"but":[131],"few":[134],"studies":[135],"make":[137],"necessary":[139],"dataset.":[140],"this":[142,171],"paper,":[143,172],"we":[144],"introduce":[145],"basic":[146],"propose":[152],"method":[154],"easily":[156],"generate":[157],"for":[159],"learning.":[162],"Based":[163],"on":[164],"generation":[167,177],"framework":[168],"proposed":[169],"automatic":[176],"labelled":[179],"inferencing":[187],"from":[188],"corresponding":[190],"dataset":[191],"also":[193],"provided.":[194]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
