{"id":"https://openalex.org/W3047024021","doi":"https://doi.org/10.1007/s00521-020-05234-6","title":"Selecting data adaptive learner from multiple deep learners using Bayesian networks","display_name":"Selecting data adaptive learner from multiple deep learners using Bayesian networks","publication_year":2020,"publication_date":"2020-08-04","ids":{"openalex":"https://openalex.org/W3047024021","doi":"https://doi.org/10.1007/s00521-020-05234-6","mag":"3047024021"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-020-05234-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-05234-6","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.07709","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017691149","display_name":"Shusuke Kobayashi","orcid":"https://orcid.org/0000-0003-1529-9343"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shusuke Kobayashi","raw_affiliation_strings":["Department of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, 260-8670, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1529-9343","affiliations":[{"raw_affiliation_string":"Department of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, 260-8670, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025487523","display_name":"Susumu Shirayama","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Susumu Shirayama","raw_affiliation_strings":["Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8656, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017691149"],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.1519,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43126509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"33","issue":"9","first_page":"4229","last_page":"4241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958000183105469,"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/T10320","display_name":"Neural Networks and Applications","score":0.992900013923645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.660880446434021},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6468315124511719},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6311848163604736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5820087790489197},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.579353928565979},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4980950355529785},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.45673489570617676},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.44581204652786255},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4438212215900421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42780449986457825},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.42060959339141846},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.32956260442733765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.660880446434021},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6468315124511719},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6311848163604736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5820087790489197},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.579353928565979},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4980950355529785},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.45673489570617676},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.44581204652786255},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4438212215900421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42780449986457825},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.42060959339141846},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.32956260442733765},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00521-020-05234-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-05234-6","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2008.07709","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.07709","pdf_url":"https://arxiv.org/pdf/2008.07709","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.07709","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.07709","pdf_url":"https://arxiv.org/pdf/2008.07709","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1585610988","https://openalex.org/W1593114658","https://openalex.org/W1901374694","https://openalex.org/W1911299338","https://openalex.org/W1958088497","https://openalex.org/W1980618358","https://openalex.org/W2078524519","https://openalex.org/W2083022762","https://openalex.org/W2097039814","https://openalex.org/W2097998348","https://openalex.org/W2110798204","https://openalex.org/W2125126592","https://openalex.org/W2128088446","https://openalex.org/W2131241448","https://openalex.org/W2147768505","https://openalex.org/W2149337551","https://openalex.org/W2150884987","https://openalex.org/W2154036191","https://openalex.org/W2158063174","https://openalex.org/W2163605009","https://openalex.org/W2293634267","https://openalex.org/W2333292935","https://openalex.org/W2344075909","https://openalex.org/W2560370080","https://openalex.org/W2581624817","https://openalex.org/W2582180708","https://openalex.org/W2622999711","https://openalex.org/W2726140679","https://openalex.org/W2746969437","https://openalex.org/W2949536823","https://openalex.org/W2950182411","https://openalex.org/W2953250761","https://openalex.org/W2963254338","https://openalex.org/W2963280294","https://openalex.org/W2963290226","https://openalex.org/W3005335434","https://openalex.org/W4248401077","https://openalex.org/W4293718192","https://openalex.org/W4293872269"],"related_works":["https://openalex.org/W299368792","https://openalex.org/W2372988341","https://openalex.org/W2025423151","https://openalex.org/W4214872087","https://openalex.org/W2068793003","https://openalex.org/W2161970884","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2100539273","https://openalex.org/W3081214562"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-08-10T00:00:00"}