{"id":"https://openalex.org/W3000502729","doi":"https://doi.org/10.1109/taai48200.2019.8959831","title":"Using novel noise filtering techniques to ensemble classifiers for credit scoring: Using noise filtering techniques to ensemble classifiers for credit scoring","display_name":"Using novel noise filtering techniques to ensemble classifiers for credit scoring: Using noise filtering techniques to ensemble classifiers for credit scoring","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3000502729","doi":"https://doi.org/10.1109/taai48200.2019.8959831","mag":"3000502729"},"language":"en","primary_location":{"id":"doi:10.1109/taai48200.2019.8959831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taai48200.2019.8959831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Technologies and Applications of Arti\ufb01cial Intelligence (TAAI)","raw_type":"proceedings-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/A5101989452","display_name":"Th\u1ecb Ng\u1ecdc Anh Nguy\u1ec5n","orcid":"https://orcid.org/0000-0002-6555-9740"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Ngoc Anh Nguyen-Thi","raw_affiliation_strings":["CMC Institute of science and technology, Hanoi university of science and technology,Hanoi,Vietnam","CMC Institute of science and technology, Hanoi university of science and technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"CMC Institute of science and technology, Hanoi university of science and technology,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"CMC Institute of science and technology, Hanoi university of science and technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055751357","display_name":"Quynh Pham-Nhu","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Quynh Pham-Nhu","raw_affiliation_strings":["CMC Institute of science and technology, Hanoi university of science and technology,Hanoi,Vietnam","CMC Institute of science and technology, Hanoi university of science and technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"CMC Institute of science and technology, Hanoi university of science and technology,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"CMC Institute of science and technology, Hanoi university of science and technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004502158","display_name":"Son Luong-Ngoc","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Son Luong-Ngoc","raw_affiliation_strings":["CMC Institute of science and technology, Hanoi university of science and technology,Hanoi,Vietnam","CMC Institute of science and technology, Hanoi university of science and technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"CMC Institute of science and technology, Hanoi university of science and technology,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"CMC Institute of science and technology, Hanoi university of science and technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065796896","display_name":"Nam Vu-Thanh","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nam Vu-Thanh","raw_affiliation_strings":["CMC Institute of science and technology, Hanoi university of science and technology,Hanoi,Vietnam","CMC Institute of science and technology, Hanoi university of science and technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"CMC Institute of science and technology, Hanoi university of science and technology,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"CMC Institute of science and technology, Hanoi university of science and technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101989452"],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.1456,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61224991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9993000030517578,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9979000091552734,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9801999926567078,"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/computer-science","display_name":"Computer science","score":0.7507278919219971},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.7288557291030884},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.6549733877182007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6335619688034058},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5964402556419373},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.5860916972160339},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5706024169921875},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5661131739616394},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5659545660018921},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5391585826873779},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5119549036026001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44492557644844055},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3892383873462677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507278919219971},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.7288557291030884},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.6549733877182007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6335619688034058},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5964402556419373},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.5860916972160339},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5706024169921875},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5661131739616394},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5659545660018921},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5391585826873779},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5119549036026001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44492557644844055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3892383873462677},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taai48200.2019.8959831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taai48200.2019.8959831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Technologies and Applications of Arti\ufb01cial Intelligence (TAAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2092747527","https://openalex.org/W2149706766","https://openalex.org/W2156909104","https://openalex.org/W2273893358","https://openalex.org/W2278519563","https://openalex.org/W2616541616","https://openalex.org/W2761700016","https://openalex.org/W2767094803","https://openalex.org/W2767543837","https://openalex.org/W2793304295","https://openalex.org/W2805274166","https://openalex.org/W2886014727","https://openalex.org/W2887596728","https://openalex.org/W2892703179","https://openalex.org/W2963730760","https://openalex.org/W3100570787","https://openalex.org/W4236137412","https://openalex.org/W6754011484","https://openalex.org/W6785690361"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2052615004","https://openalex.org/W2407804800","https://openalex.org/W2913388591","https://openalex.org/W2905430408","https://openalex.org/W2375074607","https://openalex.org/W206413454","https://openalex.org/W2979309038"],"abstract_inverted_index":{"Credit":[0],"scoring":[1,65,102,119],"using":[2],"ensemble":[3,31,61,86,98],"classifications":[4,10,87,99],"has":[5],"been":[6],"applied":[7],"widely.":[8],"Ensemble":[9],"benefit":[11],"from":[12,142],"each":[13],"single":[14],"models,":[15],"however":[16],"biased":[17],"models":[18,141],"and":[19,60,97,107],"miss-classification":[20],"happens":[21],"because":[22],"of":[23,30,45,77,128],"noisy":[24],"data.":[25],"To":[26,111],"improve":[27],"the":[28,33,37,43,46,70,73,92,104,108,129,134,139],"performance":[29,127],"classifications,":[32],"proposed":[34,130],"model":[35,54,131],"extends":[36],"noise":[38,57,76,94],"filtering":[39,58,95],"technique":[40],"that":[41],"increases":[42],"accuracy":[44],"deployed":[47],"classifier.":[48],"In":[49,69],"addition,":[50],"a":[51],"new":[52,74],"hybrid":[53,71],"combines":[55],"novel":[56,93],"techniques":[59,96],"classification":[62],"methods":[63],"for":[64,100,117],"based":[66],"on":[67],"voting.":[68],"model,":[72],"label":[75],"data":[78,115],"is":[79,136],"assigned":[80],"by":[81,133],"support":[82],"vector":[83],"machine,":[84],"then":[85],"to":[88,123,144],"score":[89],"noise.":[90],"Using":[91],"credit":[101,118],"obtains":[103],"high":[105],"robustness":[106],"superior":[109],"performance.":[110],"be":[112],"fair,":[113],"some":[114],"sets":[116],"problem":[120],"are":[121],"executed":[122],"compare":[124],"results.":[125],"The":[126],"implemented":[132],"experiment":[135],"better":[137],"than":[138],"other":[140],"1%":[143],"2%.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}
