{"id":"https://openalex.org/W2283168383","doi":"https://doi.org/10.3390/rs8020157","title":"The Fisher Kernel Coding Framework for High Spatial Resolution Scene Classification","display_name":"The Fisher Kernel Coding Framework for High Spatial Resolution Scene Classification","publication_year":2016,"publication_date":"2016-02-19","ids":{"openalex":"https://openalex.org/W2283168383","doi":"https://doi.org/10.3390/rs8020157","mag":"2283168383"},"language":"en","primary_location":{"id":"doi:10.3390/rs8020157","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8020157","pdf_url":"https://www.mdpi.com/2072-4292/8/2/157/pdf?version=1455896995","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/8/2/157/pdf?version=1455896995","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004831778","display_name":"Bei Zhao","orcid":"https://orcid.org/0000-0002-0206-1427"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Bei Zhao","raw_affiliation_strings":["Department of Geography and Resource Management, The Chinese University of Hong Kong, Sha Tin, Hong Kong","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0002-0206-1427","affiliations":[{"raw_affiliation_string":"Department of Geography and Resource Management, The Chinese University of Hong Kong, Sha Tin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673827","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0003-4891-5309"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705731","display_name":"Bo Huang","orcid":"https://orcid.org/0000-0002-5063-3522"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bo Huang","raw_affiliation_strings":["Department of Geography and Resource Management, The Chinese University of Hong Kong, Sha Tin, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Resource Management, The Chinese University of Hong Kong, Sha Tin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100754351"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":9.6851,"has_fulltext":true,"cited_by_count":109,"citation_normalized_percentile":{"value":0.98586122,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":"2","first_page":"157","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.989300012588501,"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/codebook","display_name":"Codebook","score":0.8504725098609924},{"id":"https://openalex.org/keywords/bag-of-words-model-in-computer-vision","display_name":"Bag-of-words model in computer vision","score":0.8350032567977905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.765514612197876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.710196852684021},{"id":"https://openalex.org/keywords/fisher-kernel","display_name":"Fisher kernel","score":0.6046141386032104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5957682132720947},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.5777608156204224},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48115742206573486},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4745814800262451},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.4193277060985565},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.41214561462402344},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3590394854545593},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33718523383140564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2137938141822815},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.19275087118148804},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.16302558779716492},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16183987259864807},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07122007012367249}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.8504725098609924},{"id":"https://openalex.org/C167611913","wikidata":"https://www.wikidata.org/wiki/Q6884747","display_name":"Bag-of-words model in computer vision","level":5,"score":0.8350032567977905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765514612197876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.710196852684021},{"id":"https://openalex.org/C207798031","wikidata":"https://www.wikidata.org/wiki/Q8563425","display_name":"Fisher kernel","level":5,"score":0.6046141386032104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5957682132720947},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.5777608156204224},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48115742206573486},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4745814800262451},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.4193277060985565},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.41214561462402344},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3590394854545593},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33718523383140564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2137938141822815},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.19275087118148804},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.16302558779716492},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16183987259864807},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07122007012367249}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs8020157","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8020157","pdf_url":"https://www.mdpi.com/2072-4292/8/2/157/pdf?version=1455896995","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1472fc4efb214126bc9816619eb6fa31","is_oa":true,"landing_page_url":"https://doaj.org/article/1472fc4efb214126bc9816619eb6fa31","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 8, Iss 2, p 157 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/8/2/157/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs8020157","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 8; Issue 2; Pages: 157","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs8020157","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs8020157","pdf_url":"https://www.mdpi.com/2072-4292/8/2/157/pdf?version=1455896995","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1158088358","display_name":null,"funder_award_id":"2015-KF-02","funder_id":"https://openalex.org/F4320323659","funder_display_name":"State Key Laboratory of Earth Surface Processes and Resource Ecology"},{"id":"https://openalex.org/G1787015647","display_name":null,"funder_award_id":"41431175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3260307232","display_name":null,"funder_award_id":"IRT1278","funder_id":"https://openalex.org/F4320338204","funder_display_name":"Program for Changjiang Scholars and Innovative Research Team in University"},{"id":"https://openalex.org/G3677477879","display_name":null,"funder_award_id":"41371344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4894970740","display_name":null,"funder_award_id":"2015CFA002","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G8055003176","display_name":null,"funder_award_id":"Grant No. 2015CFA002","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320323659","display_name":"State Key Laboratory of Earth Surface Processes and Resource Ecology","ror":"https://ror.org/022k4wk35"},{"id":"https://openalex.org/F4320338204","display_name":"Program for Changjiang Scholars and Innovative Research Team in University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2283168383.pdf","grobid_xml":"https://content.openalex.org/works/W2283168383.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1157380099","https://openalex.org/W1515999713","https://openalex.org/W1526295910","https://openalex.org/W1606858007","https://openalex.org/W1625255723","https://openalex.org/W1880262756","https://openalex.org/W1963500125","https://openalex.org/W1968591910","https://openalex.org/W1973724465","https://openalex.org/W1974524700","https://openalex.org/W1980038761","https://openalex.org/W1991360699","https://openalex.org/W2001123951","https://openalex.org/W2002273623","https://openalex.org/W2003022533","https://openalex.org/W2005112351","https://openalex.org/W2005368619","https://openalex.org/W2006603039","https://openalex.org/W2017448754","https://openalex.org/W2020912318","https://openalex.org/W2033809692","https://openalex.org/W2044465660","https://openalex.org/W2046017387","https://openalex.org/W2055662012","https://openalex.org/W2066921105","https://openalex.org/W2067178723","https://openalex.org/W2070452328","https://openalex.org/W2077689834","https://openalex.org/W2085625911","https://openalex.org/W2086866337","https://openalex.org/W2101365302","https://openalex.org/W2103079830","https://openalex.org/W2105032938","https://openalex.org/W2107640820","https://openalex.org/W2121915926","https://openalex.org/W2137027839","https://openalex.org/W2147238549","https://openalex.org/W2151103935","https://openalex.org/W2152449524","https://openalex.org/W2153635508","https://openalex.org/W2162915993","https://openalex.org/W2174706414","https://openalex.org/W2294802479","https://openalex.org/W2325982591","https://openalex.org/W4231510805","https://openalex.org/W6636494156","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W2158102958","https://openalex.org/W2086564093","https://openalex.org/W2945387402","https://openalex.org/W1995462736","https://openalex.org/W2938717424","https://openalex.org/W2028757524","https://openalex.org/W2548286644","https://openalex.org/W2548326535","https://openalex.org/W2555554385","https://openalex.org/W4365503698"],"abstract_inverted_index":{"High":[0],"spatial":[1],"resolution":[2],"(HSR)":[3],"image":[4,176],"scene":[5,177,187,206],"classification":[6,38,178,188,207],"is":[7,22,45,108,171],"aimed":[8],"at":[9],"bridging":[10],"the":[11,28,41,48,54,59,72,88,102,112,117,126,130,140,147,153,156,159,166,174,185,191,198,210,214],"semantic":[12,19,56],"gap":[13],"between":[14],"low-level":[15,64,89,118],"features":[16,65,90,119],"and":[17,143,201],"high-level":[18,55],"concepts,":[20],"which":[21,81,133],"a":[23,97,121,136,204],"challenging":[24],"task":[25],"due":[26],"to":[27,52,66,110],"complex":[29],"distribution":[30],"of":[31,47,87,125,146,158,165],"ground":[32,160],"objects":[33,161],"in":[34,71,91,129,135,139,155,162],"HSR":[35,92,175],"images.":[36,93],"Scene":[37],"based":[39,212],"on":[40,213],"bag-of-visual-words":[42],"(BOVW)":[43],"model":[44,61,114],"one":[46],"most":[49],"successful":[50],"ways":[51],"acquire":[53],"concepts.":[57],"However,":[58],"BOVW":[60,113,131,216],"assigns":[62],"local":[63,168],"their":[67],"closest":[68],"visual":[69],"words":[70],"\u201cvisual":[73],"vocabulary\u201d":[74],"(the":[75],"codebook":[76,141,148],"obtained":[77],"by":[78,115],"k-means":[79],"clustering),":[80],"discards":[82],"too":[83],"many":[84],"useful":[85],"details":[86],"In":[94],"this":[95],"paper,":[96],"feature":[98],"coding":[99,106,193],"method":[100],"under":[101,190],"Fisher":[103],"kernel":[104],"(FK)":[105],"framework":[107,194],"introduced":[109],"extend":[111],"characterizing":[116],"with":[120],"gradient":[122],"vector":[123],"instead":[124],"count":[127],"statistics":[128],"model,":[132],"results":[134,182],"significant":[137],"decrease":[138],"size":[142],"an":[144],"acceleration":[145],"learning":[149],"process.":[150],"By":[151],"considering":[152],"differences":[154],"distributions":[157],"different":[163],"regions":[164],"images,":[167],"FK":[169,192],"(LFK)":[170],"proposed":[172,186],"for":[173],"method.":[179],"The":[180],"experimental":[181],"show":[183],"that":[184],"methods":[189,211],"can":[195,202],"greatly":[196],"reduce":[197],"computational":[199],"cost,":[200],"obtain":[203],"better":[205],"accuracy":[208],"than":[209],"traditional":[215],"model.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":6}],"updated_date":"2026-08-10T07:06:39.071514","created_date":"2025-10-10T00:00:00"}
