{"id":"https://openalex.org/W2018140955","doi":"https://doi.org/10.1109/ijcnn.2014.6889760","title":"Augmented Neural Networks for modelling consumer indebtness","display_name":"Augmented Neural Networks for modelling consumer indebtness","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2018140955","doi":"https://doi.org/10.1109/ijcnn.2014.6889760","mag":"2018140955"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11343/241193","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098090284","display_name":"Alexandras Ladas","orcid":null},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexandras Ladas","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Nottingham, UK","School of Computer Science; University of Nottingham; Nottingham UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"School of Computer Science; University of Nottingham; Nottingham UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040516036","display_name":"Jonathan M. Garibaldi","orcid":"https://orcid.org/0000-0002-9690-7074"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jon Garibaldi","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Nottingham, UK","School of Computer Science; University of Nottingham; Nottingham UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"School of Computer Science; University of Nottingham; Nottingham UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060723028","display_name":"Rodrigo Arnaldo Scarpel","orcid":"https://orcid.org/0000-0002-1669-7872"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rodrigo Scarpel","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Nottingham, UK","School of Computer Science; University of Nottingham; Nottingham UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"School of Computer Science; University of Nottingham; Nottingham UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002768704","display_name":"Uwe Aickelin","orcid":"https://orcid.org/0000-0002-2679-2275"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Uwe Aickelin","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Nottingham, UK","School of Computer Science; University of Nottingham; Nottingham UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"School of Computer Science; University of Nottingham; Nottingham UK","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"3086","last_page":"3093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9976000189781189,"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":0.9976000189781189,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7567719221115112},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6995068192481995},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6808174848556519},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6024195551872253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.529079258441925},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4850670397281647},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.449527382850647},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32906001806259155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10598286986351013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567719221115112},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6995068192481995},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6808174848556519},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6024195551872253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.529079258441925},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4850670397281647},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.449527382850647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32906001806259155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10598286986351013},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/241193","is_oa":true,"landing_page_url":"http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000371465703029&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c","pdf_url":"http://hdl.handle.net/11343/241193","source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Neural Networks (IJCNN)","raw_type":"Conference Paper"},{"id":"pmh:oai:nottingham-repository.worktribe.com:737026","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/737026","pdf_url":"https://nottingham-repository.worktribe.com/preview/737038/Augmented-Neural-Networks-for-Modelling-Consumer-Indebtness.pdf","source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"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":null,"raw_type":"Presentation / Conference Contribution"}],"best_oa_location":{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/241193","is_oa":true,"landing_page_url":"http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000371465703029&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c","pdf_url":"http://hdl.handle.net/11343/241193","source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Joint Conference on Neural Networks (IJCNN)","raw_type":"Conference Paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2018140955.pdf","grobid_xml":"https://content.openalex.org/works/W2018140955.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W94052953","https://openalex.org/W1555218895","https://openalex.org/W1599871777","https://openalex.org/W1823564171","https://openalex.org/W1973363437","https://openalex.org/W1977775666","https://openalex.org/W1991041654","https://openalex.org/W2009984852","https://openalex.org/W2044982043","https://openalex.org/W2067057029","https://openalex.org/W2081346407","https://openalex.org/W2093145627","https://openalex.org/W2097752063","https://openalex.org/W2101664201","https://openalex.org/W2137983211","https://openalex.org/W2163303570","https://openalex.org/W2911964244","https://openalex.org/W3123417660","https://openalex.org/W3124946654","https://openalex.org/W3146803896","https://openalex.org/W4406235617"],"related_works":["https://openalex.org/W4236696095","https://openalex.org/W3143779693","https://openalex.org/W2626808643","https://openalex.org/W2004064826","https://openalex.org/W3103727510","https://openalex.org/W97045569","https://openalex.org/W1527069879","https://openalex.org/W2946179579","https://openalex.org/W2348021072","https://openalex.org/W1871370349"],"abstract_inverted_index":{"Consumer":[0,124],"Debt":[1],"has":[2,31,63],"risen":[3],"to":[4,19,89,122,130],"be":[5,128],"an":[6,60,119],"important":[7],"problem":[8],"of":[9,15,23,97],"modern":[10],"societies,":[11],"generating":[12],"a":[13,48],"lot":[14],"research":[16],"in":[17,81,102,111],"order":[18],"understand":[20],"the":[21,57,78,91,98,103,106],"nature":[22],"consumer":[24,83],"indebtness,":[25,84],"which":[26],"so":[27],"far":[28],"its":[29],"modelling":[30,82],"been":[32],"carried":[33],"out":[34],"by":[35],"statistical":[36],"models.":[37],"In":[38,69],"this":[39],"work":[40],"we":[41],"show":[42],"that":[43,52,126],"Computational":[44],"Intelligence":[45],"can":[46,127],"offer":[47,110],"more":[49,54],"holistic":[50],"approach":[51],"is":[53],"suitable":[55],"for":[56],"complex":[58],"relationships":[59],"indebtness":[61,125],"dataset":[62],"and":[64,93],"Linear":[65],"Regression":[66],"cannot":[67],"uncover.":[68],"particular,":[70],"as":[71],"our":[72],"results":[73,96],"show,":[74],"Neural":[75,108],"Networks":[76,109],"achieve":[77],"best":[79],"performance":[80],"especially":[85],"when":[86],"they":[87],"manage":[88],"incorporate":[90],"significant":[92],"experimentally":[94],"verified":[95],"Data":[99],"Mining":[100],"process":[101],"model,":[104],"exploiting":[105],"flexibility":[107],"designing":[112],"their":[113],"topology.":[114],"This":[115],"novel":[116],"method":[117],"forms":[118],"elaborate":[120],"framework":[121],"model":[123],"extended":[129],"any":[131],"other":[132],"real":[133],"world":[134],"application.":[135]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}