{"id":"https://openalex.org/W4285046208","doi":"https://doi.org/10.1016/j.patcog.2022.108896","title":"Multivariate multi-layer classifier","display_name":"Multivariate multi-layer classifier","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4285046208","doi":"https://doi.org/10.1016/j.patcog.2022.108896"},"language":"en","primary_location":{"id":"doi:10.1016/j.patcog.2022.108896","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.patcog.2022.108896","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-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/A5039180194","display_name":"Huanze Zeng","orcid":"https://orcid.org/0000-0002-6068-2854"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Huanze Zeng","raw_affiliation_strings":["Graduate Institute of Industrial Engineering, National Taiwan University, Taipei 104, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-6068-2854","affiliations":[{"raw_affiliation_string":"Graduate Institute of Industrial Engineering, National Taiwan University, Taipei 104, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078294576","display_name":"Argon Chen","orcid":"https://orcid.org/0000-0002-7951-9950"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Argon Chen","raw_affiliation_strings":["Department of Mechanical Engineering, National Taiwan University, Taipei 104, Taiwan","Graduate Institute of Industrial Engineering, National Taiwan University, Taipei 104, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-7951-9950","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, National Taiwan University, Taipei 104, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Graduate Institute of Industrial Engineering, National Taiwan University, Taipei 104, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078294576"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":null,"fwci":0.2775,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62027285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"131","issue":null,"first_page":"108896","last_page":"108896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9965000152587891,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9965000152587891,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9843000173568726,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/interpretability","display_name":"Interpretability","score":0.7545541524887085},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6680248975753784},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6165167689323425},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5741730332374573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5661380290985107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5623562932014465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5410062670707703},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5301799774169922},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.45846685767173767},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.44978272914886475},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.44238099455833435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35595786571502686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.343999981880188},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2326177954673767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22242602705955505},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.1329037845134735}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7545541524887085},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6680248975753784},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6165167689323425},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5741730332374573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5661380290985107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5623562932014465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5410062670707703},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5301799774169922},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.45846685767173767},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.44978272914886475},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.44238099455833435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35595786571502686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.343999981880188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2326177954673767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22242602705955505},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.1329037845134735},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.patcog.2022.108896","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.patcog.2022.108896","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6100000143051147,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8878487719","display_name":null,"funder_award_id":"NSC-95-2221-E-002-348","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W94571269","https://openalex.org/W1519043595","https://openalex.org/W1565746575","https://openalex.org/W1584935767","https://openalex.org/W1594031697","https://openalex.org/W1967387730","https://openalex.org/W1967610656","https://openalex.org/W2015677718","https://openalex.org/W2016023958","https://openalex.org/W2017986871","https://openalex.org/W2033371754","https://openalex.org/W2036620881","https://openalex.org/W2079109804","https://openalex.org/W2125055259","https://openalex.org/W2148239836","https://openalex.org/W2150780222","https://openalex.org/W2155653793","https://openalex.org/W2156809732","https://openalex.org/W2163358443","https://openalex.org/W2182722412","https://openalex.org/W2188236168","https://openalex.org/W2760693722","https://openalex.org/W2810818231","https://openalex.org/W2951539267","https://openalex.org/W3010411193","https://openalex.org/W3012551633","https://openalex.org/W3032957505","https://openalex.org/W3037260875","https://openalex.org/W3127803508","https://openalex.org/W4206926249","https://openalex.org/W4232714830","https://openalex.org/W4236137412","https://openalex.org/W4248455063","https://openalex.org/W4252684946","https://openalex.org/W6603851545","https://openalex.org/W6698146022"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4293151273","https://openalex.org/W34167563","https://openalex.org/W4389889055","https://openalex.org/W4313424649","https://openalex.org/W3127117601","https://openalex.org/W4311326873","https://openalex.org/W4293093830"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}