{"id":"https://openalex.org/W2978586863","doi":"https://doi.org/10.1109/ijcnn.2019.8852095","title":"OCSVM-based Evaluation Method for Generative Neural Networks","display_name":"OCSVM-based Evaluation Method for Generative Neural Networks","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978586863","doi":"https://doi.org/10.1109/ijcnn.2019.8852095","mag":"2978586863"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5056828566","display_name":"Art\u00far I. K\u00e1roly","orcid":"https://orcid.org/0000-0002-2902-7253"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Artur Istvan Karoly","raw_affiliation_strings":["Doctoral School of Applied Informatics and Applied Mathematics, \u00d3buda University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Doctoral School of Applied Informatics and Applied Mathematics, \u00d3buda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021131513","display_name":"M\u00e1rta Tak\u00e1cs","orcid":"https://orcid.org/0009-0007-8087-3432"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Marta Takacs","raw_affiliation_strings":["John von Neumann Faculty of Informatics, \u00d3buda University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"John von Neumann Faculty of Informatics, \u00d3buda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068637872","display_name":"P\u00e9ter Galambos","orcid":"https://orcid.org/0000-0002-2319-0551"},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Peter Galambos","raw_affiliation_strings":["Doctoral School of Applied Informatics and Applied Mathematics, \u00d3buda University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Doctoral School of Applied Informatics and Applied Mathematics, \u00d3buda University, Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056828566"],"corresponding_institution_ids":["https://openalex.org/I103356709"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10636531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9991000294685364,"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/T10320","display_name":"Neural Networks and Applications","score":0.9904999732971191,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7757242918014526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7246444225311279},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6531117558479309},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6355180740356445},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6276155710220337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5956480503082275},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5648733377456665},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5641310811042786},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5380949378013611},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5292101502418518},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4690221846103668},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44005635380744934},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43510276079177856},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.426265150308609},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3142722547054291},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12498608231544495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757242918014526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7246444225311279},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6531117558479309},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6355180740356445},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6276155710220337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5956480503082275},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5648733377456665},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5641310811042786},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5380949378013611},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5292101502418518},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4690221846103668},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44005635380744934},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43510276079177856},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.426265150308609},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3142722547054291},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12498608231544495},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2101234009","https://openalex.org/W2105497548","https://openalex.org/W2112796928","https://openalex.org/W2119821739","https://openalex.org/W2125389028","https://openalex.org/W2133324003","https://openalex.org/W2173520492","https://openalex.org/W2485563723","https://openalex.org/W2687693326","https://openalex.org/W2786015036","https://openalex.org/W2786691175","https://openalex.org/W2951939904","https://openalex.org/W2953384591","https://openalex.org/W2962968835","https://openalex.org/W2963073614","https://openalex.org/W2963226019","https://openalex.org/W2963373786","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2963693826","https://openalex.org/W2963873275","https://openalex.org/W2963981733","https://openalex.org/W2964024144","https://openalex.org/W2964121744","https://openalex.org/W4239510810","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6675354045","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6713134421","https://openalex.org/W6718140377","https://openalex.org/W6718379498","https://openalex.org/W6727340567","https://openalex.org/W6729966448","https://openalex.org/W6730746255","https://openalex.org/W6735204497","https://openalex.org/W6740327194","https://openalex.org/W6747826573"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"Humanity":[0],"has":[1],"desired":[2],"to":[3,24,97,146],"create":[4,25],"machines":[5],"that":[6,22],"can":[7,28,136],"comprehend":[8],"fine":[9],"arts":[10],"for":[11,52,104,151],"a":[12,83,99,113,129],"long":[13],"while.":[14],"Recently,":[15],"several":[16],"articles":[17],"report":[18],"neural":[19,77],"network":[20],"models":[21,81],"managed":[23],"something":[26],"which":[27],"be":[29,137],"considered":[30],"as":[31,34,55,148],"art,":[32],"such":[33,54,108],"paintings":[35],"or":[36],"music.":[37],"Naturally,":[38],"these":[39,70],"proposals":[40],"are":[41,82],"also":[42],"leveraged":[43],"in":[44,62,141],"the":[45,73,105,152],"field":[46],"of":[47,68,75,89,107,131],"robotics":[48],"and":[49,59,85,101,139],"autonomous":[50],"vehicles":[51],"tasks":[53],"training":[56],"environment":[57],"generation":[58],"efficient":[60],"exploration":[61],"reinforcement":[63],"learning.":[64],"The":[65,121,133],"common":[66],"feature":[67],"all":[69],"approaches":[71],"is":[72,95,119,124],"utilization":[74],"generative":[76,80],"networks.":[78],"These":[79],"trendy":[84],"actively":[86],"researched":[87],"area":[88],"machine":[90],"learning":[91],"methods.":[92],"However,":[93],"it":[94],"hard":[96],"find":[98],"general":[100],"objective":[102],"metric":[103],"evaluation":[106],"models.":[109],"In":[110],"this":[111],"paper,":[112],"One-Class":[114],"Support":[115],"Vector":[116],"Machine-based":[117],"solution":[118],"proposed.":[120],"basic":[122],"concept":[123],"demonstrated":[125],"via":[126],"experiments":[127],"on":[128],"set":[130],"GANs.":[132],"presented":[134],"method":[135],"extended":[138],"refined":[140],"further,":[142],"more":[143],"exhaustive":[144],"studies":[145],"serve":[147],"an":[149],"alternative":[150],"current":[153],"state-of-the-art":[154],"procedures.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}