{"id":"https://openalex.org/W2871727123","doi":"https://doi.org/10.3233/jifs-169659","title":"Auto-encoder generative adversarial networks","display_name":"Auto-encoder generative adversarial networks","publication_year":2018,"publication_date":"2018-07-05","ids":{"openalex":"https://openalex.org/W2871727123","doi":"https://doi.org/10.3233/jifs-169659","mag":"2871727123"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169659","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169659","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5055866007","display_name":"Zhonghua Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhonghua Zhai","raw_affiliation_strings":["School of Mathematical Sciences, Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055866007"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.61394601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"3","first_page":"3043","last_page":"3049"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12357","display_name":"Digital Media Forensic Detection","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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9959999918937683,"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/generative-grammar","display_name":"Generative grammar","score":0.8350356817245483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366411685943604},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7310703992843628},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6874171495437622},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5902778506278992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5780246257781982},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4811059832572937},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.476754754781723},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45421019196510315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4290940761566162},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3452007472515106}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.8350356817245483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366411685943604},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7310703992843628},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6874171495437622},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5902778506278992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5780246257781982},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4811059832572937},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.476754754781723},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45421019196510315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4290940761566162},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3452007472515106},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-169659","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169659","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1834627138","https://openalex.org/W2072128103","https://openalex.org/W2100495367","https://openalex.org/W2101926813","https://openalex.org/W2147800946","https://openalex.org/W2163605009","https://openalex.org/W2173520492","https://openalex.org/W2342877626","https://openalex.org/W2521028896","https://openalex.org/W2949117887","https://openalex.org/W2963073614","https://openalex.org/W2963125871","https://openalex.org/W2963420272","https://openalex.org/W2963470893","https://openalex.org/W2963709863","https://openalex.org/W2964121744","https://openalex.org/W4231109964","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6638891565"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W2619203976"],"abstract_inverted_index":{"Generative":[0,26,37,46,84],"Adversarial":[1,27,38,47,85],"Networks":[2,28,48,86],"have":[3],"demonstrated":[4],"potential":[5],"on":[6],"a":[7,30,105,109],"variety":[8],"of":[9,52],"generative":[10],"tasks,":[11],"although":[12],"they":[13,20],"are":[14],"regarded":[15],"as":[16],"unstable":[17],"and":[18,55],"sometimes":[19],"miss":[21,53],"modes.":[22],"We":[23,74],"propose":[24],"Auto-encoder":[25,83],"-":[29],"convolutional":[31],"neural":[32],"network":[33],"combining":[34],"auto-encoders":[35],"with":[36],"Networks.":[39],"The":[40],"former":[41],"brings":[42],"more":[43,62],"information":[44],"to":[45,49,108],"reduce":[50],"problems":[51],"modes":[54,70],"the":[56,59,72],"latter":[57],"makes":[58],"picture":[60],"generated":[61],"coherent":[63],"because":[64],"it":[65,89],"can":[66,90,99],"better":[67],"handle":[68],"multiple":[69],"in":[71],"output.":[73],"also":[75],"show":[76],"that":[77,88],"image":[78],"composition":[79],"is":[80],"available":[81],"for":[82,93],"so":[87],"be":[91],"used":[92],"many":[94],"feature-based":[95],"tasks.":[96],"Besides,":[97],"we":[98],"generate":[100],"different":[101],"samples":[102],"by":[103],"adding":[104],"random":[106],"noise":[107],"feature":[110],"vector.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
