{"id":"https://openalex.org/W2943321724","doi":"https://doi.org/10.1109/latw.2019.8704641","title":"Use of ensemble methods for indirect test of RF circuits: can it bring benefits?","display_name":"Use of ensemble methods for indirect test of RF circuits: can it bring benefits?","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2943321724","doi":"https://doi.org/10.1109/latw.2019.8704641","mag":"2943321724"},"language":"en","primary_location":{"id":"doi:10.1109/latw.2019.8704641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latw.2019.8704641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Latin American Test Symposium (LATS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-02338047","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076321673","display_name":"Hassan El Badawi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"H. El Badawi","raw_affiliation_strings":["LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040698879","display_name":"F. Aza\u0131\u0308s","orcid":"https://orcid.org/0000-0001-6458-5018"},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Azais","raw_affiliation_strings":["LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008580581","display_name":"Serge Bernard","orcid":"https://orcid.org/0000-0003-1772-0592"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Bernard","raw_affiliation_strings":["LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105465086","display_name":"Mariane Comte","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Comte","raw_affiliation_strings":["LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074570300","display_name":"Vincent Kerz\u00e9rho","orcid":"https://orcid.org/0000-0002-4387-0976"},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"V. Kerzerho","raw_affiliation_strings":["LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, University of Montpellier, CNRS, Montpellier Cedex, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101772674","display_name":"F. Lef\u00e8vre","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F. Lefevre","raw_affiliation_strings":["NXP Semiconductors, Caen, France"],"affiliations":[{"raw_affiliation_string":"NXP Semiconductors, Caen, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076321673"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I19894307","https://openalex.org/I4210101743"],"apc_list":null,"apc_paid":null,"fwci":2.8892,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90738325,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10187","display_name":"Radio Frequency Integrated Circuit Design","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.857940673828125},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.7359221577644348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6497891545295715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5663982629776001},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5038058161735535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4849300682544708},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4797574281692505},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.43735504150390625},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.4370338022708893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17120984196662903},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14132827520370483},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.11536484956741333}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.857940673828125},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7359221577644348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6497891545295715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5663982629776001},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5038058161735535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4849300682544708},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4797574281692505},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43735504150390625},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.4370338022708893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17120984196662903},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14132827520370483},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.11536484956741333},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/latw.2019.8704641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latw.2019.8704641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Latin American Test Symposium (LATS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:lirmm-02338047v1","is_oa":true,"landing_page_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-02338047","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://tima.univ-grenoble-alpes.fr/conferences/lats/2019/","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:lirmm-02338047v1","is_oa":true,"landing_page_url":"https://hal-lirmm.ccsd.cnrs.fr/lirmm-02338047","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://tima.univ-grenoble-alpes.fr/conferences/lats/2019/","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1977771380","https://openalex.org/W1981323949","https://openalex.org/W2000273829","https://openalex.org/W2016698587","https://openalex.org/W2104047485","https://openalex.org/W2108939487","https://openalex.org/W2116080338","https://openalex.org/W2155279251","https://openalex.org/W2810471131","https://openalex.org/W2998216295","https://openalex.org/W4232478844","https://openalex.org/W4285719527","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W4310224730","https://openalex.org/W3094138326","https://openalex.org/W4296079469"],"abstract_inverted_index":{"Indirect":[0],"testing":[1],"of":[2,17,59,76,119],"analog":[3],"and":[4,23,43,82,104,113],"RF":[5,117],"integrated":[6],"circuits":[7],"is":[8,29],"a":[9,36,120],"widely":[10],"studied":[11],"approach,":[12],"which":[13,123],"has":[14],"the":[15,48,57,90],"benefits":[16],"relaxing":[18],"requirements":[19],"on":[20,31,97,115],"test":[21,26,127],"equipment":[22],"reducing":[24],"industrial":[25],"cost.":[27],"It":[28],"based":[30,96],"machine-learning":[32],"algorithms":[33],"to":[34,47,69,88,106],"train":[35],"regression":[37,80],"model":[38,68],"that":[39],"maps":[40],"an":[41],"indirect":[42],"low-cost":[44],"measurement":[45],"space":[46],"performance":[49],"parameter":[50],"space.":[51],"In":[52],"this":[53],"work,":[54],"we":[55,124],"explore":[56],"benefit":[58],"using":[60,65],"ensemble":[61,73,94],"learning.":[62],"Rather":[63],"than":[64],"one":[66],"single":[67],"estimate":[70],"targeted":[71],"parameters,":[72],"learning":[74],"consists":[75],"training":[77],"multiple":[78],"individual":[79,108],"models":[81],"combining":[83],"their":[84],"outputs":[85],"in":[86],"order":[87],"improve":[89],"predictive":[91],"power.":[92],"Different":[93],"methods":[95],"bagging,":[98],"boosting":[99],"or":[100],"stacking":[101],"are":[102,111],"investigated":[103],"compared":[105],"classical":[107],"models.":[109],"Results":[110],"illustrated":[112],"discussed":[114],"three":[116],"performances":[118],"LNA":[121],"for":[122],"have":[125],"production":[126],"data.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
