{"id":"https://openalex.org/W3195393058","doi":"https://doi.org/10.1109/ssp49050.2021.9513851","title":"Adaptive Learning With Surrogate Assisted Training Models Using Limited Labeled Acoustic Sample Sequences","display_name":"Adaptive Learning With Surrogate Assisted Training Models Using Limited Labeled Acoustic Sample Sequences","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3195393058","doi":"https://doi.org/10.1109/ssp49050.2021.9513851","mag":"3195393058"},"language":"en","primary_location":{"id":"doi:10.1109/ssp49050.2021.9513851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp49050.2021.9513851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Statistical Signal Processing Workshop (SSP)","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/A5008246932","display_name":"Guilherme Zucatelli","orcid":"https://orcid.org/0000-0001-7756-6342"},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"G. Zucatelli","raw_affiliation_strings":["Military Institute of Engineering (IME),Laboratory of Acoustic Signal Processing (lasp.ime.eb.br),Rio de Janeiro,Brazil","Laboratory of Acoustic Signal Processing (lasp.ime.eb.br), Military Institute of Engineering (IME), Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Military Institute of Engineering (IME),Laboratory of Acoustic Signal Processing (lasp.ime.eb.br),Rio de Janeiro,Brazil","institution_ids":["https://openalex.org/I41870"]},{"raw_affiliation_string":"Laboratory of Acoustic Signal Processing (lasp.ime.eb.br), Military Institute of Engineering (IME), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I41870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014941094","display_name":"R. Coelho","orcid":"https://orcid.org/0000-0002-8170-3992"},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"R. Coelho","raw_affiliation_strings":["Military Institute of Engineering (IME),Laboratory of Acoustic Signal Processing (lasp.ime.eb.br),Rio de Janeiro,Brazil","Laboratory of Acoustic Signal Processing (lasp.ime.eb.br), Military Institute of Engineering (IME), Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Military Institute of Engineering (IME),Laboratory of Acoustic Signal Processing (lasp.ime.eb.br),Rio de Janeiro,Brazil","institution_ids":["https://openalex.org/I41870"]},{"raw_affiliation_string":"Laboratory of Acoustic Signal Processing (lasp.ime.eb.br), Military Institute of Engineering (IME), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I41870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008246932"],"corresponding_institution_ids":["https://openalex.org/I41870"],"apc_list":null,"apc_paid":null,"fwci":0.6094,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66781609,"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":"21","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9984999895095825,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.683163583278656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6711561679840088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565905213356018},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6135420799255371},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.511819064617157},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4835202693939209},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42937353253364563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3557705283164978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23467731475830078},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10904514789581299}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.683163583278656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6711561679840088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565905213356018},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6135420799255371},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.511819064617157},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4835202693939209},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42937353253364563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3557705283164978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23467731475830078},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10904514789581299}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp49050.2021.9513851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp49050.2021.9513851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1480487340","https://openalex.org/W1975205701","https://openalex.org/W1975681346","https://openalex.org/W2010800877","https://openalex.org/W2037595167","https://openalex.org/W2047232605","https://openalex.org/W2084347883","https://openalex.org/W2109004813","https://openalex.org/W2135308089","https://openalex.org/W2135346934","https://openalex.org/W2136682440","https://openalex.org/W2138750690","https://openalex.org/W2160547390","https://openalex.org/W2509065397","https://openalex.org/W2668114903","https://openalex.org/W2909327627","https://openalex.org/W2944884170","https://openalex.org/W2963859210","https://openalex.org/W2984990275","https://openalex.org/W3017925328","https://openalex.org/W3098357269"],"related_works":["https://openalex.org/W3210877509","https://openalex.org/W4225360065","https://openalex.org/W4212852473","https://openalex.org/W4293525103","https://openalex.org/W4307883119","https://openalex.org/W3174196512","https://openalex.org/W2345184372","https://openalex.org/W3200179079","https://openalex.org/W3185455591","https://openalex.org/W2773500201"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"adaptive":[4,112],"learning":[5,113],"solution":[6,81],"based":[7],"on":[8,92],"surrogate":[9,18],"models":[10],"is":[11,21,32,49,71],"investigated":[12],"under":[13],"reverberant":[14],"scenarios.":[15,99],"A":[16],"new":[17],"selection":[19],"criteria":[20],"proposed,":[22],"leading":[23],"to":[24,51],"a":[25,35,90],"higher":[26],"discrimination":[27],"among":[28],"models.":[29],"The":[30],"method":[31],"evaluated":[33,72],"considering":[34],"classic":[36],"source":[37],"classification":[38,83,109],"approach":[39],"with":[40,73,102],"ROC":[41],"and":[42,85],"AUC":[43],"analysis.":[44],"Furthermore,":[45],"the":[46,53,59,63,74,79,108],"Bhattacharrya":[47],"distance":[48],"adopted":[50],"measure":[52],"separability":[54,87],"of":[55,67,111],"selected":[56,69],"signals":[57],"in":[58],"feature":[60,104],"domain,":[61],"whereas":[62],"sparse":[64,93],"coding":[65,94],"capability":[66],"each":[68],"model":[70],"K-SVD.":[75],"Results":[76],"show":[77],"that":[78],"proposed":[80],"improves":[82],"accuracy":[84,110],"class":[86],"while":[88],"providing":[89],"reduction":[91],"reconstruction":[95],"error":[96],"for":[97],"all":[98],"Further":[100],"experiments":[101],"pH":[103],"vector":[105],"fusion":[106],"improved":[107],"solutions.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}