{"id":"https://openalex.org/W3035591151","doi":"https://doi.org/10.1109/sam48682.2020.9104371","title":"Parametric Bootstrapping of Array Data with A Generative Adversarial Network","display_name":"Parametric Bootstrapping of Array Data with A Generative Adversarial Network","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3035591151","doi":"https://doi.org/10.1109/sam48682.2020.9104371","mag":"3035591151"},"language":"en","primary_location":{"id":"doi:10.1109/sam48682.2020.9104371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5004718675","display_name":"Peter Gerstoft","orcid":"https://orcid.org/0000-0002-0471-062X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peter Gerstoft","raw_affiliation_strings":["University of California San Diego, La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043485012","display_name":"Herbert Groll","orcid":"https://orcid.org/0000-0003-3724-2911"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Herbert Groll","raw_affiliation_strings":["University of California San Diego, La Jolla, CA"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014100872","display_name":"Christoph F. Mecklenbr\u00e4uker","orcid":"https://orcid.org/0000-0001-9571-0379"},"institutions":[{"id":"https://openalex.org/I4210122474","display_name":"Forschungszentrum Telekommunikation Wien","ror":"https://ror.org/026nftk33","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210122474"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Christoph F. Mecklenbrauker","raw_affiliation_strings":["Inst. of Telecommunications, Wien, Austria"],"affiliations":[{"raw_affiliation_string":"Inst. of Telecommunications, Wien, Austria","institution_ids":["https://openalex.org/I4210122474"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004718675"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.3983,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57582586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9972000122070312,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.728295624256134},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.7264221906661987},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6895716786384583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6541433930397034},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6297314167022705},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5890096426010132},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.48659002780914307},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4854179322719574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4653749167919159},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43234890699386597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3331241011619568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3272264003753662},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.24790403246879578},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2139931321144104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15618076920509338},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.14755097031593323}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.728295624256134},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.7264221906661987},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6895716786384583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6541433930397034},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6297314167022705},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5890096426010132},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.48659002780914307},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4854179322719574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4653749167919159},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43234890699386597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3331241011619568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3272264003753662},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.24790403246879578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2139931321144104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15618076920509338},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.14755097031593323},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam48682.2020.9104371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1518997799","https://openalex.org/W1710476689","https://openalex.org/W1961498716","https://openalex.org/W1978381974","https://openalex.org/W1993868872","https://openalex.org/W2031820479","https://openalex.org/W2045021643","https://openalex.org/W2064186236","https://openalex.org/W2119933098","https://openalex.org/W2809895662","https://openalex.org/W2917065813","https://openalex.org/W2962879692","https://openalex.org/W2987280934","https://openalex.org/W3010676838","https://openalex.org/W3104217244","https://openalex.org/W4295521014","https://openalex.org/W4298289240","https://openalex.org/W6637568146","https://openalex.org/W6735913928","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W2375771286","https://openalex.org/W69222743","https://openalex.org/W1913467779","https://openalex.org/W4229900761","https://openalex.org/W2149345204","https://openalex.org/W2888032422","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374"],"abstract_inverted_index":{"Since":[0],"the":[1,11,36,43,48,57],"number":[2],"of":[3,13,54,56],"independent":[4],"array":[5,76],"data":[6],"snapshots":[7],"is":[8,27,68],"limited":[9],"by":[10],"availability":[12],"real-world":[14,73],"data,":[15],"we":[16,46],"propose":[17],"a":[18,30],"parametric":[19,25],"bootstrap":[20,26],"for":[21],"resampling.":[22],"The":[23,66],"proposed":[24],"based":[28],"on":[29],"generative":[31,37],"adversarial":[32],"network":[33],"(GAN)":[34],"following":[35],"approach":[38,67],"to":[39,61],"machine":[40],"learning.":[41],"For":[42],"GAN":[44,50],"model":[45],"chose":[47],"Wasserstein":[49],"with":[51,59,70],"penalized":[52],"norm":[53],"gradient":[55],"critic":[58],"respect":[60],"its":[62],"input":[63],"(wGAN":[64],"gp).":[65],"demonstrated":[69],"synthetic":[71],"and":[72],"ocean":[74],"acoustic":[75],"data.":[77]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}