{"id":"https://openalex.org/W3008569663","doi":"https://doi.org/10.1109/tcyb.2020.2972956","title":"Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency","display_name":"Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency","publication_year":2020,"publication_date":"2020-03-23","ids":{"openalex":"https://openalex.org/W3008569663","doi":"https://doi.org/10.1109/tcyb.2020.2972956","mag":"3008569663","pmid":"https://pubmed.ncbi.nlm.nih.gov/32203041"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.2972956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2972956","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.bournemouth.ac.uk/33426/7/bare_jrnlONE%20-%20final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000386328","display_name":"Jianyuan Sun","orcid":"https://orcid.org/0000-0001-8605-8825"},"institutions":[{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianyuan Sun","raw_affiliation_strings":["National Centre for Computer Animation, Bournemouth University, Bournemouth, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8605-8825","affiliations":[{"raw_affiliation_string":"National Centre for Computer Animation, Bournemouth University, Bournemouth, U.K","institution_ids":["https://openalex.org/I9300472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006580423","display_name":"Hui Yu","orcid":"https://orcid.org/0000-0002-7655-9228"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]},{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hui Yu","raw_affiliation_strings":["National Centre for Computer Animation, Bournemouth University, Bournemouth, U.K","School of Creative Technologies, University of Portsmouth, Portsmouth, U.K"],"raw_orcid":"https://orcid.org/0000-0002-7655-9228","affiliations":[{"raw_affiliation_string":"National Centre for Computer Animation, Bournemouth University, Bournemouth, U.K","institution_ids":["https://openalex.org/I9300472"]},{"raw_affiliation_string":"School of Creative Technologies, University of Portsmouth, Portsmouth, U.K","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046728432","display_name":"Guoqiang Zhong","orcid":"https://orcid.org/0000-0002-2952-6642"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Zhong","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-2952-6642","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-7012-2087","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748676","display_name":"Shu Zhang","orcid":"https://orcid.org/0000-0002-5873-634X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5873-634X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011845255","display_name":"Hongchuan Yu","orcid":"https://orcid.org/0000-0002-8508-7488"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]},{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hongchuan Yu","raw_affiliation_strings":["National Centre for Computer Animation, Bournemouth University, Bournemouth, U.K","School of Creative Technologies, University of Portsmouth, Portsmouth, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8508-7488","affiliations":[{"raw_affiliation_string":"National Centre for Computer Animation, Bournemouth University, Bournemouth, U.K","institution_ids":["https://openalex.org/I9300472"]},{"raw_affiliation_string":"School of Creative Technologies, University of Portsmouth, Portsmouth, U.K","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.8376,"has_fulltext":true,"cited_by_count":69,"citation_normalized_percentile":{"value":0.97325783,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"52","issue":"1","first_page":"205","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.989799976348877,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.989799976348877,"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"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.972100019454956,"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/shapley-value","display_name":"Shapley value","score":0.9105380773544312},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7688284516334534},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.601377546787262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5983291268348694},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5941005945205688},{"id":"https://openalex.org/keywords/cooperative-game-theory","display_name":"Cooperative game theory","score":0.5716748237609863},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4429927468299866},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.41256874799728394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4074832797050476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3729810416698456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36451971530914307},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3465145230293274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2599623203277588},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.10352867841720581},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07290500402450562}],"concepts":[{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.9105380773544312},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7688284516334534},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.601377546787262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5983291268348694},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5941005945205688},{"id":"https://openalex.org/C2781416736","wikidata":"https://www.wikidata.org/wiki/Q105354050","display_name":"Cooperative game theory","level":3,"score":0.5716748237609863},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4429927468299866},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.41256874799728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4074832797050476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3729810416698456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36451971530914307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3465145230293274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2599623203277588},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.10352867841720581},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07290500402450562},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"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":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/tcyb.2020.2972956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2972956","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:32203041","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32203041","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":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:eprints.bournemouth.ac.uk:33426","is_oa":true,"landing_page_url":null,"pdf_url":"http://eprints.bournemouth.ac.uk/33426/7/bare_jrnlONE%20-%20final.pdf","source":{"id":"https://openalex.org/S4306400187","display_name":"Bournemouth University Research Online (Bournemouth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9300472","host_organization_name":"Bournemouth University","host_organization_lineage":["https://openalex.org/I9300472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/9a9fd442-0b2c-457c-b5d3-87c6c3311974","is_oa":false,"landing_page_url":"https://researchportal.port.ac.uk/portal/en/publications/random-shapley-forests-cooperative-game-based-random-forests-with-consistency(9a9fd442-0b2c-457c-b5d3-87c6c3311974).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:eprints.bournemouth.ac.uk:33426","is_oa":true,"landing_page_url":null,"pdf_url":"http://eprints.bournemouth.ac.uk/33426/7/bare_jrnlONE%20-%20final.pdf","source":{"id":"https://openalex.org/S4306400187","display_name":"Bournemouth University Research Online (Bournemouth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9300472","host_organization_name":"Bournemouth University","host_organization_lineage":["https://openalex.org/I9300472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.75,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1334863613","display_name":null,"funder_award_id":"41706010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3008569663.pdf","grobid_xml":"https://content.openalex.org/works/W3008569663.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1564947197","https://openalex.org/W1565746575","https://openalex.org/W1573647811","https://openalex.org/W1599882347","https://openalex.org/W1605688901","https://openalex.org/W1642657809","https://openalex.org/W1868705743","https://openalex.org/W1930624869","https://openalex.org/W2004670864","https://openalex.org/W2016023958","https://openalex.org/W2026925128","https://openalex.org/W2035104901","https://openalex.org/W2044442377","https://openalex.org/W2052825782","https://openalex.org/W2059989526","https://openalex.org/W2070018446","https://openalex.org/W2075766392","https://openalex.org/W2080791146","https://openalex.org/W2084812512","https://openalex.org/W2089367555","https://openalex.org/W2099111195","https://openalex.org/W2102152964","https://openalex.org/W2107327607","https://openalex.org/W2113242816","https://openalex.org/W2135293965","https://openalex.org/W2139564957","https://openalex.org/W2149446614","https://openalex.org/W2153635508","https://openalex.org/W2155806188","https://openalex.org/W2172156083","https://openalex.org/W2192578595","https://openalex.org/W2214916291","https://openalex.org/W2259808229","https://openalex.org/W2263289545","https://openalex.org/W2267727210","https://openalex.org/W2413700323","https://openalex.org/W2481401919","https://openalex.org/W2487898712","https://openalex.org/W2543147921","https://openalex.org/W2574702625","https://openalex.org/W2586833486","https://openalex.org/W2613375858","https://openalex.org/W2668279377","https://openalex.org/W2739341114","https://openalex.org/W2779422599","https://openalex.org/W2782673423","https://openalex.org/W2885605338","https://openalex.org/W2911964244","https://openalex.org/W2913830405","https://openalex.org/W2949588583","https://openalex.org/W2987569362","https://openalex.org/W2997833137","https://openalex.org/W3023496898","https://openalex.org/W3099478002","https://openalex.org/W3145128584","https://openalex.org/W4211220176","https://openalex.org/W4241832412","https://openalex.org/W4246219036","https://openalex.org/W6634147026","https://openalex.org/W6674809721","https://openalex.org/W6682020064","https://openalex.org/W6688612899","https://openalex.org/W6692433135"],"related_works":["https://openalex.org/W3204498529","https://openalex.org/W2187416006","https://openalex.org/W1981630704","https://openalex.org/W1894585900","https://openalex.org/W2006581498","https://openalex.org/W2120220542","https://openalex.org/W2004258443","https://openalex.org/W2013832345","https://openalex.org/W1998066849","https://openalex.org/W4400489929"],"abstract_inverted_index":{"The":[0,65,160],"original":[1,178],"random":[2,56],"forests":[3,58],"(RFs)":[4],"algorithm":[5],"has":[6,11],"been":[7,158],"widely":[8],"used":[9],"and":[10,18,44,153,180],"achieved":[12],"excellent":[13],"performance":[14],"for":[15],"the":[16,22,25,39,42,45,62,71,75,82,91,97,102,113,116,124,131,134,141,144,173,177],"classification":[17],"regression":[19],"tasks.":[20],"However,":[21],"research":[23],"on":[24,61,148],"theory":[26,46],"of":[27,47,70,84,93,104,133,143],"RFs":[28,53,136],"lags":[29],"far":[30],"behind":[31],"its":[32],"applications.":[33],"In":[34,90,120],"this":[35],"article,":[36],"to":[37,100,139],"narrow":[38],"gap":[40],"between":[41],"applications":[43],"RFs,":[48,176,179],"we":[49,128],"propose":[50],"a":[51,88,181],"new":[52],"algorithm,":[54,146],"called":[55],"Shapley":[57,63,66,98],"(RSFs),":[59],"based":[60],"value.":[64],"value":[67,99],"is":[68],"one":[69],"well-known":[72],"solutions":[73],"in":[74,87],"cooperative":[76],"game,":[77],"which":[78],"can":[79],"fairly":[80],"assess":[81],"power":[83],"each":[85,105,108],"player":[86],"game.":[89],"construction":[92],"RSFs,":[94],"RSFs":[95,164],"use":[96],"evaluate":[101],"importance":[103],"feature":[106,118],"at":[107,169],"tree":[109],"node":[110],"by":[111,123],"computing":[112],"dependency":[114],"among":[115],"possible":[117],"coalitions.":[119],"particular,":[121],"inspired":[122],"existing":[125,174],"consistency":[126,132],"theory,":[127],"have":[129,157],"proved":[130],"proposed":[135,145],"algorithm.":[137],"Moreover,":[138],"verify":[140],"effectiveness":[142],"experiments":[147],"eight":[149],"UCI":[150],"benchmark":[151],"datasets":[152,156],"four":[154],"real-world":[155],"conducted.":[159],"results":[161],"show":[162],"that":[163],"perform":[165],"better":[166],"than":[167],"or":[168],"least":[170],"comparable":[171],"with":[172],"consistent":[175],"classic":[182],"classifier,":[183],"support":[184],"vector":[185],"machines.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}