{"id":"https://openalex.org/W3176607346","doi":"https://doi.org/10.1109/cybconf51991.2021.9464151","title":"Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables","display_name":"Evaluation of the Neural-network-based Method to Discover Sets and Representatives of Nonlinearly Dependent Variables","publication_year":2021,"publication_date":"2021-06-08","ids":{"openalex":"https://openalex.org/W3176607346","doi":"https://doi.org/10.1109/cybconf51991.2021.9464151","mag":"3176607346"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf51991.2021.9464151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf51991.2021.9464151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th IEEE International Conference on Cybernetics (CYBCONF)","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/A5024098357","display_name":"Miho Ohsaki","orcid":"https://orcid.org/0000-0002-6766-2928"},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miho Ohsaki","raw_affiliation_strings":["Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109076380","display_name":"Hayato Sasaki","orcid":null},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hayato Sasaki","raw_affiliation_strings":["Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065730498","display_name":"Naoya Kishimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoya Kishimoto","raw_affiliation_strings":["Doshisha University, Kyotanabe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Doshisha University, Kyotanabe, Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027443847","display_name":"Shigeru Katagiri","orcid":"https://orcid.org/0000-0003-4738-5385"},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeru Katagiri","raw_affiliation_strings":["Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102967261","display_name":"Kei Ohnishi","orcid":"https://orcid.org/0000-0001-7965-4135"},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Ohnishi","raw_affiliation_strings":["Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016708564","display_name":"Yakub Sebastian","orcid":"https://orcid.org/0000-0003-0499-6565"},"institutions":[{"id":"https://openalex.org/I29894533","display_name":"Charles Darwin University","ror":"https://ror.org/048zcaj52","country_code":"AU","type":"education","lineage":["https://openalex.org/I29894533"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yakub Sebastian","raw_affiliation_strings":["College of Engineering, Information Technology and Environment, Charles Darwin University, Casuarina, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Information Technology and Environment, Charles Darwin University, Casuarina, Australia","institution_ids":["https://openalex.org/I29894533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025080623","display_name":"Patrick Then","orcid":"https://orcid.org/0000-0002-6079-2527"},"institutions":[{"id":"https://openalex.org/I96413208","display_name":"Swinburne University of Technology Sarawak Campus","ror":"https://ror.org/014cjmc76","country_code":"MY","type":"education","lineage":["https://openalex.org/I57093077","https://openalex.org/I96413208"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Patrick Then","raw_affiliation_strings":["Faculty of Engineering, Computing and Science, Swinburne University of Technology, Sarawak, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Computing and Science, Swinburne University of Technology, Sarawak, Malaysia","institution_ids":["https://openalex.org/I96413208"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08601106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9944000244140625,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9562000036239624,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9506999850273132,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.771748960018158},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6339787244796753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6095001101493835},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5864684581756592},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5863086581230164},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.576626718044281},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.559770941734314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5271120667457581},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.5218937993049622},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47962483763694763},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.475236177444458},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4461357891559601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43832120299339294},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4263834059238434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41416746377944946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29064178466796875},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23896881937980652},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09232300519943237}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.771748960018158},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6339787244796753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6095001101493835},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5864684581756592},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5863086581230164},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.576626718044281},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.559770941734314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5271120667457581},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.5218937993049622},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47962483763694763},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.475236177444458},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4461357891559601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43832120299339294},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4263834059238434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41416746377944946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29064178466796875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23896881937980652},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09232300519943237},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf51991.2021.9464151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf51991.2021.9464151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th IEEE International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W1638081485","https://openalex.org/W2063698478","https://openalex.org/W2145979309","https://openalex.org/W2165700458","https://openalex.org/W2730619644","https://openalex.org/W2787225914","https://openalex.org/W2912074260","https://openalex.org/W3106063097","https://openalex.org/W4213099427"],"related_works":["https://openalex.org/W1515021623","https://openalex.org/W3155171010","https://openalex.org/W2119862467","https://openalex.org/W1615597061","https://openalex.org/W4363647291","https://openalex.org/W2548314626","https://openalex.org/W4375841781","https://openalex.org/W31220157","https://openalex.org/W4311072340","https://openalex.org/W4211248549"],"abstract_inverted_index":{"It":[0,62],"is":[1],"desired":[2],"in":[3,58,102,119],"a":[4,27,30,43,65,96],"variety":[5],"of":[6,23,33,68,80],"fields":[7],"to":[8,130,149],"identify":[9],"which":[10],"variables":[11,73],"are":[12],"dependent,":[13],"and":[14,52,74,78,123,125,133],"variable":[15],"dependence":[16,35],"measures":[17,25],"have":[18],"been":[19,56,89],"studied.":[20],"The":[21,115,136],"majority":[22],"such":[24],"detect":[26,64],"linear":[28],"or":[29],"certain":[31],"range":[32,67],"nonlinear":[34,69],"between":[36],"paired":[37],"variables.":[38],"To":[39],"go":[40],"beyond":[41],"them,":[42],"method":[44,117,143],"based":[45],"on":[46],"Neural":[47],"Network":[48],"Regression,":[49],"Group":[50],"Lasso,":[51],"Information":[53],"Aggregation":[54],"has":[55,87],"proposed":[57,116,142],"our":[59],"past":[60],"study.":[61],"can":[63],"wide":[66],"dependences":[70],"among":[71],"multi":[72,113,151],"discover":[75],"the":[76,81,103,121,141],"sets":[77,122],"representatives":[79],"detected":[82],"dependences.":[83,114,152],"Its":[84],"fundamental":[85],"effectiveness":[86],"already":[88],"examined":[90],"using":[91,110],"synthesized":[92],"artificial":[93],"datasets":[94],"containing":[95,112],"single":[97],"dependence.":[98],"For":[99],"further":[100],"evaluation":[101],"present":[104],"study,":[105],"we":[106],"conducted":[107],"an":[108],"experiment":[109],"those":[111],"succeeded":[118],"discovering":[120],"representatives,":[124],"its":[126],"performance":[127],"was":[128],"robust":[129],"data":[131],"size":[132],"noise":[134],"rate.":[135],"experimental":[137],"results":[138],"suggested":[139],"that":[140],"works":[144],"well":[145],"for":[146],"difficult":[147],"tasks":[148],"handle":[150]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
