Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector

Detalles Bibliográficos
Autores: Kandi, Kianeh, García Dopico, Antonio|||0000-0001-7373-7853
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:92918
Acceso en línea:https://oa.upm.es/92918/
Access Level:acceso abierto
Palabra clave:Deep Convolutional Neural Network
Support Vector Regression
Synthetic Minority Oversampling Technique
Imbalanced dataset
Machine Learning
Creditworthiness Prediction.
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spelling Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial SectorKandi, KianehGarcía Dopico, Antonio|||0000-0001-7373-7853Deep Convolutional Neural NetworkSupport Vector RegressionSynthetic Minority Oversampling TechniqueImbalanced datasetMachine LearningCreditworthiness Prediction.20252025-06-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/92918/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:929182026-06-21T12:45:07Z
dc.title.none.fl_str_mv Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector
title Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector
spellingShingle Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector
Kandi, Kianeh
Deep Convolutional Neural Network
Support Vector Regression
Synthetic Minority Oversampling Technique
Imbalanced dataset
Machine Learning
Creditworthiness Prediction.
title_short Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector
title_full Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector
title_fullStr Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector
title_full_unstemmed Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector
title_sort Evaluating the Performance of Deep Convolutional Neural Networks and Support Vector Regression for Creditworthiness Prediction in the Financial Sector
dc.creator.none.fl_str_mv Kandi, Kianeh
García Dopico, Antonio|||0000-0001-7373-7853
author Kandi, Kianeh
author_facet Kandi, Kianeh
García Dopico, Antonio|||0000-0001-7373-7853
author_role author
author2 García Dopico, Antonio|||0000-0001-7373-7853
author2_role author
dc.subject.none.fl_str_mv Deep Convolutional Neural Network
Support Vector Regression
Synthetic Minority Oversampling Technique
Imbalanced dataset
Machine Learning
Creditworthiness Prediction.
topic Deep Convolutional Neural Network
Support Vector Regression
Synthetic Minority Oversampling Technique
Imbalanced dataset
Machine Learning
Creditworthiness Prediction.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/92918/
url https://oa.upm.es/92918/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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