{"id":"https://openalex.org/W2758581632","doi":"https://doi.org/10.15439/2017f564","title":"An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classi\ufb01cation","display_name":"An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classi\ufb01cation","publication_year":2017,"publication_date":"2017-09-24","ids":{"openalex":"https://openalex.org/W2758581632","doi":"https://doi.org/10.15439/2017f564","mag":"2758581632"},"language":"en","primary_location":{"id":"doi:10.15439/2017f564","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2017f564","pdf_url":"https://annals-csis.org/proceedings/2017/drp/pdf/564.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2017/drp/pdf/564.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068509694","display_name":"Quang Hieu Vu","orcid":"https://orcid.org/0009-0008-8404-4153"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Quang Hieu Vu","raw_affiliation_strings":["Zalora, Singapore"],"affiliations":[{"raw_affiliation_string":"Zalora, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037726482","display_name":"Dymitr Ruta","orcid":"https://orcid.org/0000-0003-1060-6375"},"institutions":[{"id":"https://openalex.org/I4210141355","display_name":"EBTIC","ror":"https://ror.org/050mver74","country_code":"AE","type":"other","lineage":["https://openalex.org/I4210141355"]},{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Dymitr Ruta","raw_affiliation_strings":["EBTIC, Khalifa University, UAE"],"affiliations":[{"raw_affiliation_string":"EBTIC, Khalifa University, UAE","institution_ids":["https://openalex.org/I176601375","https://openalex.org/I4210141355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108056229","display_name":"Ling Cen","orcid":"https://orcid.org/0000-0002-1674-1052"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]},{"id":"https://openalex.org/I4210141355","display_name":"EBTIC","ror":"https://ror.org/050mver74","country_code":"AE","type":"other","lineage":["https://openalex.org/I4210141355"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ling Cen","raw_affiliation_strings":["EBTIC, Khalifa University, UAE"],"affiliations":[{"raw_affiliation_string":"EBTIC, Khalifa University, UAE","institution_ids":["https://openalex.org/I176601375","https://openalex.org/I4210141355"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068509694"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4153,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69147203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"149","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9902999997138977,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9902999997138977,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9839000105857849,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7668132781982422},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7010490894317627},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6839478611946106},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.654640793800354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6245898604393005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5444106459617615},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5392851233482361},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5389026403427124},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4719597101211548},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.43041783571243286},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3811352252960205},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21606159210205078},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08682495355606079}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7668132781982422},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7010490894317627},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6839478611946106},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.654640793800354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245898604393005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5444106459617615},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5392851233482361},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5389026403427124},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4719597101211548},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.43041783571243286},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3811352252960205},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21606159210205078},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08682495355606079},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.15439/2017f564","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2017f564","pdf_url":"https://annals-csis.org/proceedings/2017/drp/pdf/564.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.15439/2017f564","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2017f564","pdf_url":"https://annals-csis.org/proceedings/2017/drp/pdf/564.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2758581632.pdf","grobid_xml":"https://content.openalex.org/works/W2758581632.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W122568889","https://openalex.org/W1678356000","https://openalex.org/W1955600018","https://openalex.org/W1988301422","https://openalex.org/W2108263314","https://openalex.org/W2469469599","https://openalex.org/W2912934387","https://openalex.org/W3175417087"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W2891633941","https://openalex.org/W3202800081","https://openalex.org/W3101614107","https://openalex.org/W1909207154","https://openalex.org/W4390971112","https://openalex.org/W3036530763","https://openalex.org/W1514365828","https://openalex.org/W3149839747","https://openalex.org/W3204228978"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"an":[3],"ensemble":[4,58,105],"model":[5,83,106,130],"that":[6,75],"solves":[7],"the":[8,14,19,34,52,57,101,109,113,135,140],"binary":[9],"classification":[10,98],"problem":[11,110],"by":[12,134],"incorporating":[13],"basic":[15],"Logistic":[16],"Regression":[17],"with":[18],"two":[20],"recent":[21],"advanced":[22],"paradigms:":[23],"extreme":[24],"gradient":[25],"boosted":[26],"decision":[27],"trees":[28],"(xgboost)":[29],"and":[30,46,65,85,93],"deep":[31],"learning.To":[32],"obtain":[33],"best":[35],"result":[36],"when":[37],"integrating":[38],"sub-models,":[39],"we":[40,60],"introduce":[41],"a":[42,62,72,117],"solution":[43],"to":[44,56,77,88,107],"split":[45],"select":[47],"sets":[48],"of":[49,82,97,103,111,115,128],"features":[50],"for":[51,70],"sub-model":[53],"training.In":[54],"addition":[55],"model,":[59],"propose":[61],"flexible":[63],"robust":[64],"highly":[66],"scalable":[67],"new":[68],"scheme":[69],"building":[71],"composite":[73],"classifier":[74],"tries":[76],"simultaneously":[78],"implement":[79],"multiple":[80],"layers":[81],"decomposition":[84],"outputs":[86],"aggregation":[87],"maximally":[89],"reduce":[90],"both":[91],"bias":[92],"variance":[94],"(spread)":[95],"components":[96],"errors.We":[99],"demonstrate":[100],"power":[102],"our":[104,129],"solve":[108],"predicting":[112],"outcome":[114],"Hearthstone,":[116],"turn-based":[118],"computer":[119],"game,":[120],"based":[121],"on":[122],"game":[123],"state":[124],"information.Excellent":[125],"predictive":[126],"performance":[127],"has":[131],"been":[132],"acknowledged":[133],"second":[136],"place":[137],"scored":[138],"in":[139],"final":[141],"ranking":[142],"among":[143],"188":[144],"competing":[145],"teams.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}