{"id":"https://openalex.org/W4375867006","doi":"https://doi.org/10.14445/22315381/ijett-v71i4p206","title":"A Novel Multi-Stage Stacked Ensemble Classifier using Heterogeneous Base Learners","display_name":"A Novel Multi-Stage Stacked Ensemble Classifier using Heterogeneous Base Learners","publication_year":2023,"publication_date":"2023-04-25","ids":{"openalex":"https://openalex.org/W4375867006","doi":"https://doi.org/10.14445/22315381/ijett-v71i4p206"},"language":"en","primary_location":{"id":"doi:10.14445/22315381/ijett-v71i4p206","doi":"https://doi.org/10.14445/22315381/ijett-v71i4p206","is_oa":true,"landing_page_url":"http://dx.doi.org/10.14445/22315381/ijett-v71i4p206","pdf_url":"https://ijettjournal.org/Volume-71/Issue-4/IJETT-V71I4P206.pdf","source":{"id":"https://openalex.org/S4210182968","display_name":"International Journal of Engineering Trends and Technology","issn_l":"2231-5381","issn":["2231-5381","2349-0918"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering Trends and Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ijettjournal.org/Volume-71/Issue-4/IJETT-V71I4P206.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046226499","display_name":"N Pavitha","orcid":"https://orcid.org/0000-0002-0577-8722","observed_orcids":["https://orcid.org/0000-0002-0577-8722"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pavitha N","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033392289","display_name":"Shounak Rushikesh Sugave","orcid":"https://orcid.org/0000-0002-2643-8751","observed_orcids":["https://orcid.org/0000-0002-2643-8751"]},"institutions":[{"id":"https://openalex.org/I4210088227","display_name":"MIT World Peace University","ror":"https://ror.org/004ymxd45","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210088227"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shounak Sugave","raw_affiliation_strings":["School of Computer Engineering and Technology , MIT World Peace University , Pune , Maharashtra , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Technology , MIT World Peace University , Pune , Maharashtra , India","institution_ids":["https://openalex.org/I4210088227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9876,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74121624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"71","issue":"4","first_page":"65","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.00930000003427267,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.00039999998989515007,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/credit-risk-assessment","display_name":"credit risk assessment","score":0.8659999966621399},{"id":"https://openalex.org/keywords/stacking-ensemble","display_name":"stacking ensemble","score":0.8299999833106995},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9940000176429749},{"id":"https://openalex.org/keywords/credit-scoring","display_name":"credit scoring","score":0.5490000247955322},{"id":"https://openalex.org/keywords/emerging-markets","display_name":"emerging markets","score":0.6489999890327454},{"id":"https://openalex.org/keywords/financial-ai","display_name":"financial AI","score":0.6150000095367432}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.636012077331543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139183044433594},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4970989525318146},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.47879061102867126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4620268940925598},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4286593794822693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4141221046447754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35263383388519287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13170397281646729},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1019255518913269},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14445/22315381/ijett-v71i4p206","doi":"https://doi.org/10.14445/22315381/ijett-v71i4p206","is_oa":true,"landing_page_url":"http://dx.doi.org/10.14445/22315381/ijett-v71i4p206","pdf_url":"https://ijettjournal.org/Volume-71/Issue-4/IJETT-V71I4P206.pdf","source":{"id":"https://openalex.org/S4210182968","display_name":"International Journal of Engineering Trends and Technology","issn_l":"2231-5381","issn":["2231-5381","2349-0918"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering Trends and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.14445/22315381/ijett-v71i4p206","doi":"https://doi.org/10.14445/22315381/ijett-v71i4p206","is_oa":true,"landing_page_url":"http://dx.doi.org/10.14445/22315381/ijett-v71i4p206","pdf_url":"https://ijettjournal.org/Volume-71/Issue-4/IJETT-V71I4P206.pdf","source":{"id":"https://openalex.org/S4210182968","display_name":"International Journal of Engineering Trends and Technology","issn_l":"2231-5381","issn":["2231-5381","2349-0918"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering Trends and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4375867006.pdf","grobid_xml":"https://content.openalex.org/works/W4375867006.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4396543739","https://openalex.org/W4403697700","https://openalex.org/W4285588387","https://openalex.org/W7214097266","https://openalex.org/W4391436932","https://openalex.org/W2253923269","https://openalex.org/W2761700016","https://openalex.org/W4385525189","https://openalex.org/W7138967041","https://openalex.org/W4387193480"],"abstract_inverted_index":{"The":[0],"assessment":[1],"of":[2,35,39,51,95],"credit":[3,21,25,43,84],"risk":[4,22,44],"is":[5],"essential":[6],"to":[7,19,63,101,116],"contemporary":[8],"economies.":[9],"Historically,":[10],"statistical":[11],"techniques":[12],"and":[13,56,127],"manual":[14],"auditing":[15],"have":[16,47],"been":[17],"used":[18,115,130],"measure":[20],"associated":[23],"with":[24],"grants.":[26],"Recent":[27],"developments":[28],"in":[29,92],"financial":[30],"AI":[31],"are":[32,114,129],"the":[33,93,96],"result":[34],"a":[36,49,74,89],"new":[37],"generation":[38],"machine":[40],"learning":[41],"(ML)-driven":[42],"models":[45],"that":[46],"drawn":[48],"lot":[50],"interest":[52],"from":[53,110],"both":[54],"business":[55],"academia.":[57],"In":[58],"this":[59],"research,":[60],"we":[61,72],"aimed":[62],"improve":[64],"ML":[65,80,104],"algorithms'":[66],"performance":[67,94],"by":[68],"optimizing":[69],"hyperparameters.":[70],"Also,":[71],"proposed":[73,97],"novel":[75],"multi-stage":[76],"heterogeneous":[77],"stacked":[78],"ensemble":[79],"algorithm":[81,98],"for":[82,131],"predicting":[83],"risk.":[85],"Experimental":[86],"results":[87],"show":[88],"significant":[90],"improvement":[91],"as":[99],"compared":[100],"other":[102],"hyperparameter-optimized":[103],"algorithms.":[105],"Two":[106],"real-time":[107],"data":[108],"sets":[109],"emerging":[111],"market":[112],"economies":[113],"evaluate":[117],"our":[118],"model.":[119],"Different":[120],"evaluation":[121],"metrics,":[122],"namely":[123],"precision,":[124],"recall,":[125],"f1-score":[126],"accuracy,":[128],"evaluating":[132],"model":[133],"performance.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2023-05-10T00:00:00"}