{"id":"https://openalex.org/W2904551296","doi":"https://doi.org/10.1609/aaai.v33i01.33015508","title":"Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization","display_name":"Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904551296","doi":"https://doi.org/10.1609/aaai.v33i01.33015508","mag":"2904551296"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33015508","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015508","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4491/4369","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4491/4369","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007169238","display_name":"Yuying Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuying Xing","raw_affiliation_strings":["Southwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027082940","display_name":"Guoxian Yu","orcid":"https://orcid.org/0000-0002-1667-6705"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxian Yu","raw_affiliation_strings":["Southwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090148962","display_name":"Carlotta Domeniconi","orcid":"https://orcid.org/0000-0003-2140-9596"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlotta Domeniconi","raw_affiliation_strings":["George Mason University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384838","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-9515-076X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Southwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103140089","display_name":"Zili Zhang","orcid":"https://orcid.org/0000-0003-1204-1857"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zili Zhang","raw_affiliation_strings":["Southwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079800756","display_name":"Maozu Guo","orcid":"https://orcid.org/0000-0001-6228-6276"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maozu Guo","raw_affiliation_strings":["Beijing University of Civil Engineering and Architecture"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Civil Engineering and Architecture","institution_ids":["https://openalex.org/I62853816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"5508","last_page":"5515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9990000128746033,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9990000128746033,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9648000001907349,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9381999969482422,"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/computer-science","display_name":"Computer science","score":0.7564243078231812},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6539865136146545},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6088916063308716},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5388765931129456},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5166173577308655},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5061256289482117},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4848407506942749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.466068297624588},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4231097400188446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4073430895805359},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3855149447917938},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3854571282863617},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3544642925262451},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14065435528755188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7564243078231812},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6539865136146545},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6088916063308716},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5388765931129456},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5166173577308655},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5061256289482117},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4848407506942749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.466068297624588},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4231097400188446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4073430895805359},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3855149447917938},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3854571282863617},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3544642925262451},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14065435528755188},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v33i01.33015508","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015508","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4491/4369","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30130716","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20738395","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Multi-view_multi-instance_multi-label_learning_based_on_collaborative_matrix_factorization/20738395","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Conference contribution"},{"id":"pmh:oai:ojs.aaai.org:article/4491","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33015508","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015508","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4491/4369","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G3508012632","display_name":null,"funder_award_id":"61741217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3605984960","display_name":null,"funder_award_id":"XDJK2019B024","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5035564973","display_name":null,"funder_award_id":"XDJK2019D019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5564147583","display_name":"\u9762\u5411\u53ef\u53d8\u526a\u63a5\u5f02\u6784\u4f53\u529f\u80fd\u9884\u6d4b\u7684\u6570\u636e\u6574\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G659245102","display_name":null,"funder_award_id":"61873214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7148930410","display_name":"\u4e2a\u4f53-\u7fa4\u4f53\u65f6\u7a7a\u6d3b\u52a8\u8f68\u8ff9\u6316\u6398\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G957024074","display_name":null,"funder_award_id":"cstc2016jcyjA0351","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321550","display_name":"Chongqing Science and Technology Commission","ror":"https://ror.org/05w9erc61"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904551296.pdf","grobid_xml":"https://content.openalex.org/works/W2904551296.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W79050221","https://openalex.org/W125678093","https://openalex.org/W385466589","https://openalex.org/W1565746575","https://openalex.org/W1670132599","https://openalex.org/W2027266161","https://openalex.org/W2029517229","https://openalex.org/W2034445978","https://openalex.org/W2045156863","https://openalex.org/W2071860674","https://openalex.org/W2104290444","https://openalex.org/W2114315281","https://openalex.org/W2135029798","https://openalex.org/W2137917285","https://openalex.org/W2141303268","https://openalex.org/W2293549417","https://openalex.org/W2320656788","https://openalex.org/W2340479377","https://openalex.org/W2574410245","https://openalex.org/W2588158124","https://openalex.org/W2604680822","https://openalex.org/W2741306150","https://openalex.org/W2808239701","https://openalex.org/W2885692647","https://openalex.org/W2907192597","https://openalex.org/W2964127439","https://openalex.org/W2997701990","https://openalex.org/W4231510805","https://openalex.org/W6603231919","https://openalex.org/W6631340511","https://openalex.org/W6639619044","https://openalex.org/W6657622170","https://openalex.org/W6657696509","https://openalex.org/W6661751889","https://openalex.org/W6677222910","https://openalex.org/W6680012447","https://openalex.org/W6736095516","https://openalex.org/W6741960989","https://openalex.org/W6752228462"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2378211422","https://openalex.org/W2988126442","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W1974414866","https://openalex.org/W2130974462"],"abstract_inverted_index":{"Multi-view":[0],"Multi-instance":[1],"Multi-label":[2],"Learning":[3],"(M3L)":[4],"deals":[5],"with":[6,13,19],"complex":[7],"objects":[8,34],"encompassing":[9],"diverse":[10],"instances,":[11,37,80,116],"represented":[12],"different":[14,85],"feature":[15],"views,":[16],"and":[17,38,81,117,119,138,161],"annotated":[18],"multiple":[20,90],"labels.":[21],"Existing":[22],"M3L":[23],"solutions":[24,156],"only":[25],"partially":[26],"explore":[27],"the":[28,96,100,111,122,133,141,159],"inter":[29],"or":[30],"intra":[31],"relations":[32,88],"between":[33,114],"(or":[35],"bags),":[36],"labels,":[39,82,118],"which":[40],"can":[41],"convey":[42],"important":[43],"contextual":[44],"information":[45],"for":[46],"M3L.":[47],"As":[48],"such,":[49],"they":[50],"may":[51],"have":[52],"a":[53,61,72],"compromised":[54],"performance.\\":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"propose":[60],"collaborative":[62],"matrix":[63],"factorization":[64],"based":[65],"solution":[66],"called":[67],"M3Lcmf.":[68],"M3Lcmf":[69,103,151],"first":[70],"uses":[71],"heterogeneous":[73],"network":[74],"composed":[75],"of":[76,78,87,99],"nodes":[77],"bags,":[79,115],"to":[83,131,139],"encode":[84],"types":[86],"via":[89],"relational":[91],"data":[92,101,123],"matrices.":[93,124],"To":[94],"preserve":[95],"intrinsic":[97],"structure":[98],"matrices,":[102,109],"collaboratively":[104],"factorizes":[105],"them":[106],"into":[107,136],"low-rank":[108],"explores":[110],"latent":[112],"relationships":[113],"selectively":[120],"merges":[121],"An":[125,143],"aggregation":[126],"scheme":[127],"is":[128],"further":[129],"introduced":[130],"aggregate":[132],"instance-level":[134,160],"labels":[135],"bag-level":[137,162],"guide":[140],"factorization.":[142],"empirical":[144],"study":[145],"on":[146],"benchmark":[147],"datasets":[148],"show":[149],"that":[150],"outperforms":[152],"other":[153],"related":[154],"competitive":[155],"both":[157],"in":[158],"prediction.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}