{"id":"https://openalex.org/W4323892469","doi":"https://doi.org/10.1007/978-3-031-26293-7_3","title":"ADEL: Adaptive Distribution Effective-Matching Method for\u00a0Guiding Generators of\u00a0GANs","display_name":"ADEL: Adaptive Distribution Effective-Matching Method for\u00a0Guiding Generators of\u00a0GANs","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323892469","doi":"https://doi.org/10.1007/978-3-031-26293-7_3"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-26293-7_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-26293-7_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5100452993","display_name":"Jung-Eun Kim","orcid":"https://orcid.org/0000-0002-5341-726X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jungeun Kim","raw_affiliation_strings":["Department of AI, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5341-726X","affiliations":[{"raw_affiliation_string":"Department of AI, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009113006","display_name":"Jeongeun Park","orcid":"https://orcid.org/0000-0001-9431-952X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongeun Park","raw_affiliation_strings":["Graduate School of Information, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9431-952X","affiliations":[{"raw_affiliation_string":"Graduate School of Information, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043961759","display_name":"Ha Young Kim","orcid":"https://orcid.org/0000-0001-5853-7589"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ha Young Kim","raw_affiliation_strings":["Graduate School of Information, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5853-7589","affiliations":[{"raw_affiliation_string":"Graduate School of Information, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100452993"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06455142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"53"},"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":0.9857000112533569,"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":0.9857000112533569,"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/T10028","display_name":"Topic Modeling","score":0.932200014591217,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9212999939918518,"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":0.8440888524055481},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5955329537391663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3734539747238159},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07390475273132324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06156355142593384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8440888524055481},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5955329537391663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3734539747238159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07390475273132324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06156355142593384}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-26293-7_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-26293-7_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2577946330","https://openalex.org/W2593414223","https://openalex.org/W2598991778","https://openalex.org/W2742658863","https://openalex.org/W2893749619","https://openalex.org/W2962770929","https://openalex.org/W2963248348","https://openalex.org/W2963684088","https://openalex.org/W2963800363","https://openalex.org/W2964057425","https://openalex.org/W2964121592","https://openalex.org/W2964121744","https://openalex.org/W2964135678","https://openalex.org/W2964201867","https://openalex.org/W2966145721","https://openalex.org/W3013117577","https://openalex.org/W3035574324","https://openalex.org/W3035687950","https://openalex.org/W3093990297","https://openalex.org/W3119012278","https://openalex.org/W3119106047","https://openalex.org/W4293320219","https://openalex.org/W4294568686","https://openalex.org/W4294596616","https://openalex.org/W4294643831","https://openalex.org/W4295274059","https://openalex.org/W4298289240","https://openalex.org/W4302023197","https://openalex.org/W4394668580","https://openalex.org/W4394670483"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
