{"id":"https://openalex.org/W2799401777","doi":"https://doi.org/10.1007/s11280-018-0576-z","title":"Co-regularized kernel ensemble regression","display_name":"Co-regularized kernel ensemble regression","publication_year":2018,"publication_date":"2018-04-27","ids":{"openalex":"https://openalex.org/W2799401777","doi":"https://doi.org/10.1007/s11280-018-0576-z","mag":"2799401777"},"language":"en","primary_location":{"id":"doi:10.1007/s11280-018-0576-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11280-018-0576-z","pdf_url":null,"source":{"id":"https://openalex.org/S129236917","display_name":"World Wide Web","issn_l":"1386-145X","issn":["1386-145X","1573-1413"],"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":"World Wide Web","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/A5090125504","display_name":"Dickson Keddy Wornyo","orcid":"https://orcid.org/0000-0003-2520-6876"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]},{"id":"https://openalex.org/I2865155307","display_name":"Data Link Institute of Business and Technology","ror":"https://ror.org/05svjc560","country_code":"GH","type":"nonprofit","lineage":["https://openalex.org/I2865155307"]}],"countries":["CN","GH"],"is_corresponding":false,"raw_author_name":"Dickson Keddy Wornyo","raw_affiliation_strings":["Datalink Institute, Tema, Ghana","JiangSu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Datalink Institute, Tema, Ghana","institution_ids":["https://openalex.org/I2865155307"]},{"raw_affiliation_string":"JiangSu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015596649","display_name":"Xiang\u2010Jun Shen","orcid":"https://orcid.org/0000-0002-3359-8972"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang-Jun Shen","raw_affiliation_strings":["JiangSu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JiangSu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001417607","display_name":"Yong Dong","orcid":"https://orcid.org/0000-0002-6073-9849"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Dong","raw_affiliation_strings":["JiangSu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JiangSu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103006502","display_name":"Liangjun Wang","orcid":"https://orcid.org/0000-0002-0991-4437"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangjun Wang","raw_affiliation_strings":["JiangSu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JiangSu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083070890","display_name":"Shucheng Huang","orcid":"https://orcid.org/0000-0002-5435-5961"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-Cheng Huang","raw_affiliation_strings":["Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015596649"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.1199,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83599664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"2","first_page":"717","last_page":"734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9995999932289124,"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/T12676","display_name":"Machine Learning and ELM","score":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9976000189781189,"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/kernel-regression","display_name":"Kernel regression","score":0.6553552150726318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6328673362731934},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5902451276779175},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5898956060409546},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5898489952087402},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5829789638519287},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5579692721366882},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5447975993156433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.518749475479126},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5068457722663879},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.42595288157463074},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"Principal component regression","score":0.42444461584091187},{"id":"https://openalex.org/keywords/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.4138833284378052},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41134411096572876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39084723591804504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3519890308380127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3162129521369934},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31225305795669556},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.18082627654075623}],"concepts":[{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.6553552150726318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6328673362731934},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5902451276779175},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5898956060409546},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5898489952087402},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5829789638519287},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5579692721366882},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5447975993156433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.518749475479126},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5068457722663879},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.42595288157463074},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.42444461584091187},{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.4138833284378052},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41134411096572876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39084723591804504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3519890308380127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3162129521369934},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31225305795669556},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.18082627654075623},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11280-018-0576-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11280-018-0576-z","pdf_url":null,"source":{"id":"https://openalex.org/S129236917","display_name":"World Wide Web","issn_l":"1386-145X","issn":["1386-145X","1573-1413"],"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":"World Wide Web","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1504880242","display_name":null,"funder_award_id":"61601202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3773958305","display_name":"\u9762\u5411\u79fb\u52a8\u89c6\u9891\u70b9\u64ad\u7684\u5185\u5bb9\u5206\u6790\u6280\u672f\u7814\u7a76","funder_award_id":"61572240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4015214511","display_name":null,"funder_award_id":"BK20140571","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W22229905","https://openalex.org/W45362603","https://openalex.org/W1484412132","https://openalex.org/W1493879008","https://openalex.org/W1503398984","https://openalex.org/W1510073064","https://openalex.org/W1560724230","https://openalex.org/W1805346680","https://openalex.org/W1908139891","https://openalex.org/W1968315006","https://openalex.org/W1988195734","https://openalex.org/W2001647046","https://openalex.org/W2006991759","https://openalex.org/W2008056655","https://openalex.org/W2033018833","https://openalex.org/W2057101772","https://openalex.org/W2069222105","https://openalex.org/W2076063813","https://openalex.org/W2076365336","https://openalex.org/W2096032893","https://openalex.org/W2101457442","https://openalex.org/W2107180520","https://openalex.org/W2108318847","https://openalex.org/W2108995755","https://openalex.org/W2112076978","https://openalex.org/W2126052291","https://openalex.org/W2137226992","https://openalex.org/W2137894166","https://openalex.org/W2146766088","https://openalex.org/W2148603752","https://openalex.org/W2169278871","https://openalex.org/W2192479274","https://openalex.org/W2291068538","https://openalex.org/W2291445757","https://openalex.org/W2302881059","https://openalex.org/W2318806991","https://openalex.org/W2326111428","https://openalex.org/W2373319735","https://openalex.org/W2398252148","https://openalex.org/W2402655168","https://openalex.org/W2511507017","https://openalex.org/W2525863168","https://openalex.org/W2551492216","https://openalex.org/W2555759795","https://openalex.org/W2574111200","https://openalex.org/W2610681481","https://openalex.org/W2610732438","https://openalex.org/W2611868724","https://openalex.org/W2613557745","https://openalex.org/W2614690018","https://openalex.org/W2751445731","https://openalex.org/W2790124101","https://openalex.org/W2797532987","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2950325406","https://openalex.org/W2952030901","https://openalex.org/W2963745697","https://openalex.org/W3144619878","https://openalex.org/W4230452299","https://openalex.org/W4298876635","https://openalex.org/W6600280466","https://openalex.org/W6603795323","https://openalex.org/W6676769703"],"related_works":["https://openalex.org/W4248396893","https://openalex.org/W2803426353","https://openalex.org/W3124083798","https://openalex.org/W3118393464","https://openalex.org/W1975708617","https://openalex.org/W4243330733","https://openalex.org/W3101749733","https://openalex.org/W1649547938","https://openalex.org/W3131787954","https://openalex.org/W2890196891"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
