{"id":"https://openalex.org/W4292971449","doi":"https://doi.org/10.3390/s22166206","title":"Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits Perception","display_name":"Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits Perception","publication_year":2022,"publication_date":"2022-08-18","ids":{"openalex":"https://openalex.org/W4292971449","doi":"https://doi.org/10.3390/s22166206","pmid":"https://pubmed.ncbi.nlm.nih.gov/36015967"},"language":"en","primary_location":{"id":"doi:10.3390/s22166206","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22166206","pdf_url":"https://www.mdpi.com/1424-8220/22/16/6206/pdf?version=1660896690","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/16/6206/pdf?version=1660896690","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020648242","display_name":"Effat Jalaeian Zaferani","orcid":"https://orcid.org/0000-0002-5403-3751"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Effat Jalaeian Zaferani","raw_affiliation_strings":["Electrical & Computer Engineering Faculty, K. N. Toosi University of Technology, Tehran 19967-15433, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Faculty, K. N. Toosi University of Technology, Tehran 19967-15433, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089396669","display_name":"Mohammad Teshnehlab","orcid":"https://orcid.org/0000-0003-2498-9653"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Teshnehlab","raw_affiliation_strings":["Electrical & Computer Engineering Faculty, K. N. Toosi University of Technology, Tehran 19967-15433, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Faculty, K. N. Toosi University of Technology, Tehran 19967-15433, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055129735","display_name":"Amirreza Khodadadian","orcid":"https://orcid.org/0000-0003-2374-0557"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Amirreza Khodadadian","raw_affiliation_strings":["Institute of Applied Mathematics, Leibniz University of Hannover, 30167 Hannover, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2374-0557","affiliations":[{"raw_affiliation_string":"Institute of Applied Mathematics, Leibniz University of Hannover, 30167 Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037749602","display_name":"Clemens Heitzinger","orcid":"https://orcid.org/0000-0003-1613-5164"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]},{"id":"https://openalex.org/I161878677","display_name":"Austrian Research Institute for Artificial Intelligence","ror":"https://ror.org/04j47vk14","country_code":"AT","type":"facility","lineage":["https://openalex.org/I161878677","https://openalex.org/I4210107880"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Clemens Heitzinger","raw_affiliation_strings":["Center for Artificial Intelligence and Machine Learning (CAIML), TU Wien, 1040 Vienna, Austria","Institute of Analysis and Scientific Computing, TU Wien, 1040 Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence and Machine Learning (CAIML), TU Wien, 1040 Vienna, Austria","institution_ids":["https://openalex.org/I161878677","https://openalex.org/I145847075"]},{"raw_affiliation_string":"Institute of Analysis and Scientific Computing, TU Wien, 1040 Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031933180","display_name":"Mansour Vali","orcid":"https://orcid.org/0000-0003-3498-9016"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mansour Vali","raw_affiliation_strings":["Electrical & Computer Engineering Faculty, K. N. Toosi University of Technology, Tehran 19967-15433, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Faculty, K. N. Toosi University of Technology, Tehran 19967-15433, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020508945","display_name":"Nima Noii","orcid":"https://orcid.org/0000-0002-8358-7745"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nima Noii","raw_affiliation_strings":["Institute of Continuum Mechanics, Leibniz University of Hannover, 30823 Garbsen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Continuum Mechanics, Leibniz University of Hannover, 30823 Garbsen, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010756889","display_name":"Thomas Wick","orcid":"https://orcid.org/0000-0002-1102-6332"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wick","raw_affiliation_strings":["Institute of Applied Mathematics, Leibniz University of Hannover, 30167 Hannover, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1102-6332","affiliations":[{"raw_affiliation_string":"Institute of Applied Mathematics, Leibniz University of Hannover, 30167 Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5055129735"],"corresponding_institution_ids":["https://openalex.org/I114112103"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.1177,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78710866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"22","issue":"16","first_page":"6206","last_page":"6206"},"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":0.9987999796867371,"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":0.9987999796867371,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9922000169754028,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9909999966621399,"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":0.6464501619338989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6095393896102905},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5816221833229065},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.537169873714447},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5279544591903687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.517922580242157},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.505420446395874},{"id":"https://openalex.org/keywords/parameter-space","display_name":"Parameter space","score":0.43857407569885254},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.4338671565055847},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4319098889827728},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4237458407878876},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4201197624206543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37305688858032227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3531549572944641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21543633937835693},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14494484663009644},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11845347285270691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6464501619338989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6095393896102905},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5816221833229065},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.537169873714447},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5279544591903687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.517922580242157},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.505420446395874},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.43857407569885254},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.4338671565055847},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4319098889827728},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4237458407878876},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4201197624206543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37305688858032227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3531549572944641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21543633937835693},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14494484663009644},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11845347285270691},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010465","descriptor_name":"Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010465","descriptor_name":"Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010465","descriptor_name":"Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010551","descriptor_name":"Personality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010551","descriptor_name":"Personality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010551","descriptor_name":"Personality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22166206","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22166206","pdf_url":"https://www.mdpi.com/1424-8220/22/16/6206/pdf?version=1660896690","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36015967","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36015967","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:9925640a0d21458ba11619100d1f6590","is_oa":true,"landing_page_url":"https://doaj.org/article/9925640a0d21458ba11619100d1f6590","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 16, p 6206 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/16/6206/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22166206","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 16; Pages: 6206","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9413006","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9413006","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22166206","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22166206","pdf_url":"https://www.mdpi.com/1424-8220/22/16/6206/pdf?version=1660896690","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292971449.pdf","grobid_xml":"https://content.openalex.org/works/W4292971449.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1593308619","https://openalex.org/W2012316161","https://openalex.org/W2050433171","https://openalex.org/W2054912984","https://openalex.org/W2100495367","https://openalex.org/W2119401655","https://openalex.org/W2128539437","https://openalex.org/W2165312226","https://openalex.org/W2182548411","https://openalex.org/W2403817006","https://openalex.org/W2407212869","https://openalex.org/W2528939255","https://openalex.org/W2611159092","https://openalex.org/W2736494118","https://openalex.org/W2745457036","https://openalex.org/W2792059711","https://openalex.org/W2807962012","https://openalex.org/W2887063112","https://openalex.org/W2907227550","https://openalex.org/W2921441866","https://openalex.org/W2963527567","https://openalex.org/W2973118640","https://openalex.org/W2973268792","https://openalex.org/W2982126231","https://openalex.org/W2999561309","https://openalex.org/W3000027300","https://openalex.org/W3000643483","https://openalex.org/W3011131643","https://openalex.org/W3011974631","https://openalex.org/W3013482090","https://openalex.org/W3020796509","https://openalex.org/W3041367289","https://openalex.org/W3042823408","https://openalex.org/W3043787446","https://openalex.org/W3045004532","https://openalex.org/W3081439660","https://openalex.org/W3088313083","https://openalex.org/W3091722161","https://openalex.org/W3092589772","https://openalex.org/W3132645184","https://openalex.org/W3138358913","https://openalex.org/W3157808961","https://openalex.org/W3163594393","https://openalex.org/W3170836419","https://openalex.org/W3172951206","https://openalex.org/W3173655634","https://openalex.org/W3185832719","https://openalex.org/W3206031967","https://openalex.org/W3217142402","https://openalex.org/W4200321320","https://openalex.org/W4210327430","https://openalex.org/W4211116959","https://openalex.org/W4213308398","https://openalex.org/W4220663638","https://openalex.org/W4220733905","https://openalex.org/W4225654593","https://openalex.org/W4280575138","https://openalex.org/W4281385421","https://openalex.org/W4281614423","https://openalex.org/W4281625216","https://openalex.org/W4283582502","https://openalex.org/W4285125811","https://openalex.org/W6677985667","https://openalex.org/W6713083005","https://openalex.org/W6768265617","https://openalex.org/W6838425062","https://openalex.org/W6838566574"],"related_works":["https://openalex.org/W4299455866","https://openalex.org/W2995097707","https://openalex.org/W3034393045","https://openalex.org/W1603259840","https://openalex.org/W3123386130","https://openalex.org/W2804361238","https://openalex.org/W2990886677","https://openalex.org/W2127655891","https://openalex.org/W1504188355","https://openalex.org/W2967696502"],"abstract_inverted_index":{"In":[0,16,106],"this":[1,61,107,129],"work,":[2,18],"a":[3,111,209],"method":[4,115,138,160,184],"for":[5,193],"automatic":[6,194],"hyper-parameter":[7,32,48],"tuning":[8,33],"of":[9,83,91,125,157,175,189],"the":[10,19,72,80,89,118,123,146,155,158,165,173,176,201,220],"stacked":[11],"asymmetric":[12,191],"auto-encoder":[13,192],"is":[14,39,50,75],"proposed.":[15],"previous":[17,233],"deep":[20,56,84],"learning":[21,44,57,85],"ability":[22,166],"to":[23,79,127,164,167,185,203,213,231,240],"extract":[24],"personality":[25,195,243],"perception":[26,244],"from":[27,169],"speech":[28],"was":[29,34,225],"shown,":[30],"but":[31],"attained":[35],"by":[36,227],"trial-and-error,":[37],"which":[38,87],"time-consuming":[40],"and":[41,52,122,144,172,205,216,235],"requires":[42],"machine":[43],"knowledge.":[45],"Therefore,":[46],"obtaining":[47],"values":[49],"challenging":[51],"places":[53],"limits":[54],"on":[55,101,117,139],"usage.":[58],"To":[59],"address":[60],"challenge,":[62],"researchers":[63],"have":[64,98],"applied":[65,182],"optimization":[66,104,114,142],"methods.":[67,105],"Although":[68],"there":[69],"were":[70],"successes,":[71],"search":[73,128],"space":[74,131],"very":[76],"large":[77,81,130],"due":[78,163],"number":[82],"hyper-parameters,":[86],"increases":[88],"probability":[90],"getting":[92],"stuck":[93],"in":[94],"local":[95,170],"optima.":[96],"Researchers":[97],"also":[99],"focused":[100],"improving":[102],"global":[103,113],"regard,":[108],"we":[109,135,181,207],"suggest":[110],"novel":[112,210],"based":[116],"cultural":[119],"algorithm,":[120],"multi-island":[121],"concept":[124],"parallelism":[126],"smartly.":[132],"At":[133],"first,":[134],"evaluated":[136],"our":[137,183,232],"three":[140],"well-known":[141],"benchmarks":[143],"compared":[145,230,239],"results":[147,177],"with":[148],"recently":[149],"published":[150,242],"papers.":[151],"Results":[152],"indicate":[153],"that":[154],"convergence":[156],"proposed":[159],"speeds":[161],"up":[162],"escape":[168],"optima,":[171],"precision":[174],"improves":[178],"dramatically.":[179],"Afterward,":[180],"optimize":[186],"five":[187],"hyper-parameters":[188,199],"an":[190],"perception.":[196],"Since":[197],"inappropriate":[198],"lead":[200],"network":[202],"over-fitting":[204,215],"under-fitting,":[206],"used":[208],"cost":[211],"function":[212],"prevent":[214],"under-fitting.":[217],"As":[218],"observed,":[219],"unweighted":[221],"average":[222],"recall":[223],"(accuracy)":[224],"improved":[226],"6.52%":[228],"(9.54%)":[229],"work":[234],"had":[236],"remarkable":[237],"outcomes":[238],"other":[241],"works.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2022-08-24T00:00:00"}