Relevant bibliographies by topics / Modelo de scoring

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Modelo de scoring'

Author: Grafiati
Published: 4 September 2021
Last updated: 29 July 2025

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Journal articles on the topic "Modelo de scoring"

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Eric, Bacconi Gonçalves, Carlos Barbosa dos Santos Francisco, and César Bontempo Paulo. "Collection Score e as Oportunidades no Mercado de Non-Performing Loans." Revista JRG de Estudos Acadêmicos 4, no. 9 (2021): 377–88. https://doi.org/10.5281/zenodo.7702425.

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Na literatura acad&ecirc;mica, modelos aplicados &agrave; &aacute;rea de cr&eacute;dito (chamados de <em>credit scoring</em>) s&atilde;o largamente explorados, ao passo que modelos aplicados &agrave; cobran&ccedil;a (chamados de <em>collection scoring</em>) s&atilde;o pouco abordados; da mesma maneira existem poucos artigos que tratam o mercado brasileiro de empr&eacute;stimos banc&aacute;rios n&atilde;o pagos ou mais comumente chamados de <em>non-performing-loans</em>. Este trabalho traz como principais contribui&ccedil;&otilde;es: a utiliza&ccedil;&atilde;o de modelos de <em>scoring</em> na
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Lobato, Tarcísio da Costa, and Brena do Nascimento Carvalho. "PROPOSTA DE UM MODELO ENSEMBLE PARA CREDIT SCORING / PROPOSAL FOR AN ENSEMBLE MODEL FOR CREDIT SCORING." Brazilian Journal of Development 7, no. 3 (2021): 24280–97. http://dx.doi.org/10.34117/bjdv7n3-232.

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Calderón Romero, Lizardo. "El modelo credit scoring como alternativa de evaluación crediticia en Agrobanco." Quipukamayoc 25, no. 49 (2018): 101. http://dx.doi.org/10.15381/quipu.v25i49.14285.

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En los últimos años el Perú atraviesa un fuerte crecimiento en el sector financiero, principalmente enfocado en el sector de los créditos, los cuales han permitido dinamizar la economía, lo cual no sucede para los créditos orientados al sector agropecuario por su nivel de riesgo, motivo por el cual el Estado peruano crea Agrobanco como una entidad enfocada al sector agropecuario por medio de la colocación de créditos agropecuarios. El objetivo de la investigación es desarrollar un modelo Credit Scoring que permita apoyar la evaluación inmediata del crédito agropecuario, debido a la deficiente
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Santos, José Odálio dos, and Rubens Famá. "Avaliação da aplicabilidade de um modelo de credit scoring com varíaveis sistêmicas e não-sistêmicas em carteiras de crédito bancário rotativo de pessoas físicas." Revista Contabilidade & Finanças 18, no. 44 (2007): 105–17. http://dx.doi.org/10.1590/s1519-70772007000200009.

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As concessões de crédito rotativo às pessoas físicas (cheque especial e cartão de crédito) vêm crescendo significativamente nos últimos anos, o que, em parte, é explicado pela relativa estabilização da economia, maior geração de empregos e êxito no controle da inflação - fatores que interferem diretamente na capacidade de pagamento dos tomadores. Paralelamente, observa-se uma maior exposição histórica dos Bancos ao risco de inadimplência, ou seja, o do não-recebimento (parcial ou total) de créditos rotativos utilizados pelas pessoas físicas. Considerando o tamanho e a importância desse mercado
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Quiroz Calderón, Milagro Baldemar. "CREDIT SCORING UNA HERRAMIENTA PARA MINIMIZAR EL RIESGO DE CRÉDITO DE LAS INSTITUCIONES MICROFINANCIERAS-PERÚ." Quipukamayoc 28, no. 56 (2020): 69–75. http://dx.doi.org/10.15381/quipu.v28i56.17697.

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Objetivo: Plantear un modelo de Credit Scoring para la cartera de microcréditos de una Caja Municipal de la ciudad de Piura. Método: Se aplicó la Regresión Logística Binaria como técnica para plantear un modelo cuya variable respuesta o dependiente es una variable discreta dicotómica. Resultados: El tratamiento de la base de datos de la cartera de microcréditos de la Caja Municipal de la ciudad de Piura, mediante el módulo de regresión logística binaria del Software SPSS versión 24, se obtuvo como resultado la probabilidad de default. Conclusiones: Se logra obtener un modelo de calificación es
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Delgado-Vaquero, David, José Morales-Díaz, and Constancio Zamora-Ramírez. "IFRS 9 Expected Loss: A Model Proposal for Estimating the Probability of Default for non-rated companies." Revista de Contabilidad 23, no. 2 (2020): 180–96. http://dx.doi.org/10.6018/rcsar.370951.

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Bajo el modelo de provisiones por riesgo de crédito de la NIIF 9, las empresas deben estimar una Probabilidad de Default o quiebra (PD) para todos los activos financieros (y otros elementos) no valorados a valor razonable con cambios en la cuenta de resultados. Existen varias metodologías para estimar dicha PD utilizando información histórica o de mercado. No obstante, en algunos casos las empresas no disponen de información histórica o de mercado acerca de una contraparte. Para estos casos proponemos un modelo denominado Financial Ratios Scoring (FRS), a través del cual la entidad puede obten
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Rayo Cantón, Salvador, Juan Lara Rubio, and David Camino Blasco. "Un modelo de credit scoring para instituciones de microfinanzas en el marco de Basilea II." Cuadernos de difusión 15, no. 28 (2010): 89–124. http://dx.doi.org/10.46631/jefas.2010.v15n28.04.

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The growth of microcredit worldwide along with international rules on capital requirements (Basel II) are increasing the competition between microfinance institutions (MFIs) and banks for this business segment. The bank system traditionally has relied on adequate credit scoring models to analyze the risk of payment failures, but this has not been the case in supervised MFIs. The objective of this research is to design a credit scoring model for any institution subjected to supervision and specialized in microcredit as the Development Agency for Small and Micro Enterprise (Entidad de Desarrollo
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Pedroso, Carla, Istefani Carísio de Paula, and Joana Siqueira de Souza. "Análise comparativa de ferramentas de gestão de portfólio: um estudo de caso na indústria alimentícia." Production 22, no. 4 (2012): 637–50. http://dx.doi.org/10.1590/s0103-65132012005000078.

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A gestão de portfólio (GP) é uma importante atividade dentro do processo de desenvolvimento de produtos. Ela envolve a tomada de decisão sobre os produtos da empresa, a qual reflete, em última análise, as decisões do negócio. Existem na literatura diferentes modelos e ferramentas que podem ser usados na GP. No presente trabalho são avaliados os resultados da aplicação de duas ferramentas de GP, uma que se fundamenta no modelo de pontuação (scoring model) e outra fundamentada no modelo econômico-financeiro. O estudo foi realizado em uma empresa de pequeno porte do setor alimentício onde a aplic
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Ferreira, Gabriel Almeida, and Adriano Kamimura Suzuki. "Adaptations of Extreme Gradient Boosting for Imbalanced Datasets with Application in Credit Scoring." Sigmae 13, no. 4 (2024): 165–78. https://doi.org/10.29327/2520355.13.4-16.

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O Credit Scoring pode ser visto como um problema de classificação binária, no qual o objetivo é aprender um modelo que classifique clientes como bons ou maus pagadores. Todavia, as bases de dados utilizadas no contexto de Credit Scoring possuem poucos exemplos de maus pagadores, o que pode levar ao erro de classificar um mau pagador como bom pagador e, portanto, gerar prejuízo ao credor. Nesse sentido, este trabalho apresenta o estudo de duas alternativas para lidar com o problema do desbalanceamento das classes: a adaptação dos algoritmos de aprendizado supervisionado, por meio do Extreme Gra
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Martínez Sánchez, José Francisco, and María Teresa Martínez Palacios. "FACTIBILIDAD TÉCNICA Y FINANCIERA DE UN MODELO DE CREDIT SCORING PARA LAS ENTIDADES DE AHORRO Y CRÉDITO POPULAR." PANORAMA ECONÓMICO 10, no. 20 (2017): 29. http://dx.doi.org/10.29201/pe-ipn.v10i20.38.

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El sistema bancario actual no cubre las necesidades de los servicios financieros y en particular las de los créditos a los sectores más desfavorecidos de la sociedad. La presencia bancaria se localiza fundamentalmente en las ciudades y regiones con actividad económica importante. Para atender a estos sectores excluidos se han creado de forma natural, pero sin supervisión ni soporte de la autoridad, entidades financieras como las cajas populares, cooperativas, sociedades financieras populares, entre otras, que en conjunto se denominan entidades de ahorro y crédito popular. Sin embargo, la mayor
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Dissertations / Theses on the topic "Modelo de scoring"

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Lima, Evanessa Maria Barbosa de Castro. "AnÃlise de determinantes da inadimplÃncia (pessoa fÃsica) tomadores de crÃdito: uma abordagem economÃtrica." Universidade Federal do CearÃ, 2004. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=1480.

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nÃo hÃ<br>Sendo a intermediaÃÃo financeira a principal atividade dos bancos, alocando recursos de clientes superavitÃrios a clientes deficitÃrios, Ã na incerteza quanto ao carÃter e a capacidade de pagamento dos clientes que se estabelece o risco e com ele a necessidade de se buscar novas alternativas para se proteger de perdas potenciais, que podem refletir em menores lucros para as instituiÃÃes. AlÃm da subjetividade dos analistas de crÃdito, o uso de modelos quantitativos, baseados em prÃticas estatÃsticas, economÃtricas e matemÃticas, vÃm cada vez mais se firmando nos mercados como ferrame
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González, López Pedro Pablo. "Desarrollo de modelo Credit Scoring para admisión de facturas en factoring." Tesis, Universidad de Chile, 2018. http://repositorio.uchile.cl/handle/2250/149160.

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Ingeniero Civil Industrial<br>La presente memoria consiste en el desarrollo de un modelo estadístico que permita predecir el default en el pago de créditos del producto factoring. La empresa solicitante del proyecto es una institución financiera no bancaria líder en el segmento de Pymes. En toda empresa que presta servicios financieros, incluyendo todo tipo de créditos, la gestión del riesgo es de los aspectos más relevantes. Por eso es pertinente contar con una herramienta que permita discriminar rápidamente y de manera automática entre buenos y malos pagadores. De lo anterior se define com
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Siqueira, Vânia Rosatti de. "Um modelo de credit scoring para microcrédito: uma inovação no mercado brasileiro." Universidade Presbiteriana Mackenzie, 2011. http://tede.mackenzie.br/jspui/handle/tede/546.

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Made available in DSpace on 2016-03-15T19:25:42Z (GMT). No. of bitstreams: 1 Vania Rosatti de Siqueira.pdf: 636275 bytes, checksum: a16be8a6db840089b4bb3645148a7376 (MD5) Previous issue date: 2011-02-10<br>The Grameen Bank experiences with microcredit operations have been imitated in various countries, mainly the ones related to the two great innovations in this market: the credit agent s role and the solidary group mechanism. The massification of the operations and the reduction in their costs become vital for economies of scale to be achieved, as well as a greater appetite for the MFIs to
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Machado, Aline Rodrigues. "Collection scoring via regressão logística e modelo de riscos proporcionais de Cox." reponame:Repositório Institucional da UnB, 2015. http://repositorio.unb.br/handle/10482/19575.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Estatística, 2015.<br>Submitted by Fernanda Percia França (fernandafranca@bce.unb.br) on 2015-12-17T15:38:56Z No. of bitstreams: 1 2015_AlineRodriguesMachado.pdf: 8301687 bytes, checksum: 6ba181b94d324ca852b02987ddd55181 (MD5)<br>Approved for entry into archive by Marília Freitas(marilia@bce.unb.br) on 2016-02-25T13:33:57Z (GMT) No. of bitstreams: 1 2015_AlineRodriguesMachado.pdf: 8301687 bytes, checksum: 6ba181b94d324ca852b02987ddd55181 (MD5)<br>Made available in DSpace on 2016-02-25T13:33:57Z (GMT
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Serralheiro, Silvana Oliveira. "Construção de um processo de monitorização de modelo de scoring de crédito hipotecário para concessão." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/21649.

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Mestrado em Mathematical Finance<br>O crédito hipotecário abrange créditos destinados à aquisição, construção, arrendamento e/ou manutenção de habitação. O modelo de scoring permite distinguir os bons e maus créditos, através do perfil de risco dos clientes, seguindo-se a decisão de conceder ou não crédito. O objetivo deste trabalho foi desenvolver um processo de monitorização aplicado ao modelo de scoring de crédito hipotecário para concessão da Caixa Geral de Depósitos. O propósito desta monitorização é verificar se o modelo, implementado em junho de 2018, mantém uma boa capacidade pred
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Duarte, Nádia Filipa Cunha. "Análise dos procedimentos de rating de um banco privado." Master's thesis, FEUC, 2015. http://hdl.handle.net/10316/29671.

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Relatório de estágio do mestrado em Economia (Economia Financeira), apresentado à Faculdade de Economia da Universidade de Coimbra, sob a orientação de Helder Sebastião.<br>sistema financeiro tem sido fundamental para o desenvolvimento da atividade económica. Com a crise de 2008 verificou-se que quando um choque negativo atinge o sistema financeiro poderá por a economia em risco. Tornou-se então imprescindível uma revisão das normas de supervisão das instituições financeiras de forma a tornar o sistema financeiro mais robusto e capaz de sobreviver a choques externos. De todas as normas de supe
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Neves, Isabel Perdigão. "A utilização do modelo Z-scoring na análise do risco de crédito para empresas portuguesas." Master's thesis, FEUC, 2014. http://hdl.handle.net/10316/26595.

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Relatório de estágio do mestrado em Economia (Economia Financeira), apresentado à Faculdade de Economia da Universidade de Coimbra, sob a orientação de Fátima Sol e Rui Ferreira.<br>O presente relatório tem como objetivo a apresentação de um estágio curricular que integra o Mestrado de Economia na Faculdade de Economia da Universidade de Coimbra. Este estágio foi realizado na Direção Comercial de Empresas do Santander Totta em Coimbra e teve a duração de 16 semanas. Este relatório encontra-se repartido em três secções. Na primeira irá ser apresentada de forma sucinta a entidade de acolhim
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Souza, Ródnei Bernardino de. "O modelo de collection scoring como ferramenta para a gestão estratégica do risco de crédito." reponame:Repositório Institucional do FGV, 2000. http://hdl.handle.net/10438/5723.

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Made available in DSpace on 2010-04-20T20:20:30Z (GMT). No. of bitstreams: 0 Previous issue date: 2000-07-03T00:00:00Z<br>Trata do gerenciamento da carteira de inadimplentes no mercado de crédito ao consumidor, em especial no de cartões de crédito. Foca a concepção, desenvolvimento e manutenção do modelo de collection scoring como ferramenta para a administração da carteira de inadimplentes, considerada fundamental na gestão estratégica e profissional do risco de crédito ao consumidor. Caracteriza o problema da inadimplência, tanto no mercado de crédito ao consumidor como no de cartões de c
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Sotelo, Becerra Ceferino Anibal. "Rediseño de proceso modelo venta proveedor en BancoEstado Microempresas." Tesis, Universidad de Chile, 2014. http://repositorio.uchile.cl/handle/2250/115581.

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Magíster en Ingeniería de Negocios con Tecnología de Información<br>Chile se encuentra inmerso en el complejo fenómeno de la globalización. Uno de los aspectos que destaca en este escenario es la coexistencia de empresas locales y extranjeras, las cuales tienen grandes diferencias operativas, causadas principalmente por el desnivel que existe en el desarrollo económico, industrial, tecnológico, de investigación y desarrollo (I+D) entre el país de origen y el nuestro. Es por ello que la innovación y el cambio tecnológico se consideran como factores clave para el crecimiento económico de los pa
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Rettig, Infante Trinidad Sofia. "Modelo de predicción de default tributario de contribuyentes del segmento de micro y pequeña empresa del Servicio de Impuestos Internos de Chile." Tesis, Universidad de Chile, 2013. http://www.repositorio.uchile.cl/handle/2250/115243.

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Ingeniera Civil Industrial<br>En Chile, durante los últimos años, ha habido un aumento en la tasa de evasión de impuestos, observándose que, en particular para el IVA esta cifra ha crecido un 8,5% con respecto el año 2007. Cada punto porcentual se traduce en una pérdida de recaudación de 350 millones de dólares, por lo que se hace necesario el diseño de un plan que revierta este efecto. La presente memoria consiste en el desarrollo de un modelo estadístico que permita predecir el default en la declaración y pago de IVA para los contribuyentes de Micro y Pequeña empresa. Teniendo como resultad
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Books on the topic "Modelo de scoring"

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Thomas, L. C. Consumer credit models: Pricing, profit, and portfolios. Oxford University Press, 2009.

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Simkus, Gail. Maple: A scoring model for forest research priority setting. Great Lakes Forestry Centre, 1996.

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Hanson, Bradley A. Method of moments estimates for the four-parameter beta compound binomial model and the calculation of classification consistency indexes. American College Testing Program, 1991.

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L, Simpson John. A regression model of international banking risk and risk scoring. School of Economics & Finance, Curtin University of Technology, 1998.

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Mankiw, N. Gregory. Dynamic scoring: A back-of-the-envelope guide. National Bureau of Economic Research, 2004.

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Mankiw, N. Gregory. Dynamic scoring: A back-of-the-envelope guide. National Bureau of Economic Research, 2004.

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Lee, Won-Chan. Procedures for computing classification consistency and accuracy indices with multiple categories. ACT, Inc., 2000.

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Allen, Patrick D. Situational force scoring: Accounting for combined arms effect in aggregate combat models. RAND, 1992.

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Go, Imelda C. An empirical investigation of the accuracy of a step-up method for estimating test score conditional variances. American College Testing Program, 1996.

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David, Trawick, and United States. National Aeronautics and Space Administration., eds. Syntactic error modeling and scoring normalization in speech recognition: Final report. National Aeronautics and Space Administration, 1991.

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Book chapters on the topic "Modelo de scoring"

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Klebanov, Beata Beigman, and Nitin Madnani. "Models." In Automated Essay Scoring. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-02182-4_4.

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Gass, Saul I., and Carl M. Harris. "Scoring model." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_927.

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Roncalli, Thierry. "Credit Scoring Models." In Handbook of Financial Risk Management. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781315144597-15.

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Koski, Timo. "Alignment and Scoring." In Hidden Markov Models for Bioinformatics. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0612-5_5.

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McCarthy, Richard V., Mary M. McCarthy, Wendy Ceccucci, and Leila Halawi. "Model Comparisons and Scoring." In Applying Predictive Analytics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14038-0_7.

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McCarthy, Richard V., Mary M. McCarthy, and Wendy Ceccucci. "Model Comparisons and Scoring." In Applying Predictive Analytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83070-0_7.

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Vasandani, Juily, Saumya Bharti, Deepankar Singh, and Shreeansh Priyadarshi. "Improving Model Accuracy with Probability Scoring Machine Learning Models." In Advances in Data Science and Information Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71704-9_34.

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Asazuma, Yuya, Hiroaki Funayama, Yuichiroh Matsubayashi, Tomoya Mizumoto, Paul Reisert, and Kentaro Inui. "Take No Shortcuts! Stick to the Rubric: A Method for Building Trustworthy Short Answer Scoring Models." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67351-1_23.

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AbstractThis paper introduces a new strategy to enhance the trustworthiness of Short Answer Scoring (SAS) systems used in educational settings. Although the development of scoring models with high accuracy has become feasible due to advancements in machine learning methods, particularly recent Transformers, there is a risk of shortcut learning using superficial cues present in training data, leading to behaviors that contradict rubric standards and thus raising issues of model trustworthiness. To address this issue, we introduce an efficient strategy that aligns the features of responses with
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Giudici, Paolo. "Scoring Models for Operational Risks." In Operational Risk Management. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470972571.ch7.

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Porath, Daniel. "Scoring Models for Retail Exposures." In The Basel II Risk Parameters. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16114-8_3.

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Conference papers on the topic "Modelo de scoring"

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Khokhar, Maham, Burcu Bakir-Gungor, and Malik Yousef. "Enhancing the Efficiency of the Grouping-Scoring-Modeling Framework with Statistical Pre-Scoring Component for Transcriptomic Data Analysis." In 16th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013192600003911.

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Ru Teh, Jocelyn Shuang, Eng Keong Koay, Shin Wei Lim, et al. "Adaptive Composite Accuracy Scoring for Domainspecific LLM Evaluation." In 2024 2nd International Conference on Foundation and Large Language Models (FLLM). IEEE, 2024. https://doi.org/10.1109/fllm63129.2024.10852484.

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Shukla, Deepa, and Sunil Gupta. "Feature Engineering Techniques to Enhance Credit Scoring Models." In 2024 6th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE). IEEE, 2024. https://doi.org/10.1109/icecie63774.2024.10815675.

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Dadi, Ramesh, and Suresh Kumar Sanampudi. "A Robust Model for Automated Essay Scoring System." In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025. https://doi.org/10.1109/iciscn64258.2025.10934551.

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Krishna, Kaivaram Sivarama, Bommala Deepak Kumar, Morumpalli Deekshith Reddy, Ch Saketh, and Manju Venugopalan. "Credit Scoring for Loan Applicants Using Machine Learning Models." In 2024 4th International Conference on Intelligent Technologies (CONIT). IEEE, 2024. http://dx.doi.org/10.1109/conit61985.2024.10626212.

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Shah, Asif Hussain, and Sultan Alotaibi. "Fire Risk Assessment with Scoring System Using Fuzzy Analytic Hierarchy." In 2024 Conference on Renewable Energy Technologies and Modern Communications Systems: Future and Challenges. IEEE, 2024. https://doi.org/10.1109/ieeeconf63577.2024.10881391.

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Liu, Yiwen, Wenyu Xing, Chao He, and Mingbo Zhao. "Domain Knowledge-Enhanced Integrated Model for LUS Video Scoring." In 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS). IEEE, 2024. https://doi.org/10.1109/uffc-js60046.2024.10793904.

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Pasaribu, Novalanza Grecea, Gelar Budiman, and Indrarini Dyah Irawati. "NasNet Model for Image-Based Essay Scoring Deep Learning." In 2024 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD). IEEE, 2024. http://dx.doi.org/10.1109/icoabcd63526.2024.10704301.

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Ziaur Rahaman, Shah Md, Afra Anika, and A. K. M. Muzahidul Islam. "Credit Scoring Model Development: Taking Advantage of Credit History." In 2024 IEEE Region 10 Symposium (TENSYMP). IEEE, 2024. http://dx.doi.org/10.1109/tensymp61132.2024.10752316.

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Edwards, Diego, Silvia Pérez, Mónica Giuliano, and Cecilia Gargano. "Modelos de scoring para detectar potencial de abandono en carreras de ingeniería." In Advances in Statistics Education: Developments, Experiences, and Assessments. International Association for Statistical Education, 2015. http://dx.doi.org/10.52041/srap.15714.

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El objetivo de este trabajo es mostrar resultados preliminares de un estudio para identificar factores que inciden en la deserción o abandono de carrera de los alumnos de carreras de Ingeniería de una universidad pública argentina. Se busca desarrollar un modelo de scoring para identificar el potencial de abandono en el primer año de carrera.
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Reports on the topic "Modelo de scoring"

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Yaroshchuk, Svitlana O., Nonna N. Shapovalova, Andrii M. Striuk, Olena H. Rybalchenko, Iryna O. Dotsenko, and Svitlana V. Bilashenko. Credit scoring model for microfinance organizations. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3683.

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The purpose of the work is the development and application of models for scoring assessment of microfinance institution borrowers. This model allows to increase the efficiency of work in the field of credit. The object of research is lending. The subject of the study is a direct scoring model for improving the quality of lending using machine learning methods. The objective of the study: to determine the criteria for choosing a solvent borrower, to develop a model for an early assessment, to create software based on neural networks to determine the probability of a loan default risk. Used rese
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Conser, Erik. Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5767.

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Yu, Beibei, Yongfeng Zhang, and Shouping Gong. Effects of miRNA-modified exosomes alleviate cerebral ischemic reperfusion injury in Pre-clinical Studies: A Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0062.

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Review question / Objective: The purpose of this study was to investigate the effect of miRNA-modified exosomes in alleviating cerebral ischemic reperfusion injury compared with the non-treatment group. The research object is an animal model of middle cerebral artery occlusion. The research method is a controlled study. The primary outcome of this study was infarct volume, and the secondary outcome was neurobehavioral performance. Main outcome(s): The primary outcome of this study was Infarct volumes，which was measured by 2,3,5-triphenyltetranzolium chloride (TTC) staining. And it was calculat
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Mallory, Richard E. Service Quality Standards for the Public Sector. Asian Productivity Organization, 2025. https://doi.org/10.61145/szra3943.

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Governments around the world are seeking new ways to deliver efficient, effective, and transparent services. A new P-Insights report, Service Quality Standards for the Public Sector, introduces the ASQ/ANSI G1:2021 standard as a practical framework for improving service quality across all levels of government. The report explains how ANSI G1 enables public agencies to evaluate performance objectively using measurable outcomes, maturity scoring, and best practice workflows. Unlike traditional models such as ISO 9001, this approach allows for detailed analysis at the unit level, helping leaders
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Giadedi, Abdulhakim. A Scoring Model to Evaluate Offshore Oil Projects: Case of Eni and Mellitah Oil & Gas. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7473.

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Lavoie, Joao. A Scoring Model to Assess Organizations' Technology Transfer Capabilities: The Case of a Power Utility in the Northwest USA. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6871.

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Appleyard, Bruce, Mario Carbajal, Madison Swayne, Nell Ahangarfabrik, and Megan Honey. Ten Years Forward: An Evaluation of California’s Active Transportation Program. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2230.

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California’s Active Transportation Program (ATP) is a competitive, grant-based program that serves as a major funding stream for active transportation infrastructure in California. The program has six goals based on increasing nonmotorized transportation, safety, equity, sustainability, and health. Evaluation of the ATP’s administrative and scoring processes is crucial to ensure goals are met as equitably and efficiently as possible. Additionally, establishing a methodology for evaluating the safety impacts of active transportation projects is critically important. Through a series of intervie
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Klinger, Bailey, Lucio Castro, Paula Szenkman, and Asim Khwaja. Unlocking SME Finance in Argentina with Psychometrics. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0009112.

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Access to finance remains a challenge for Small and Medium Enterprises (SMEs) in Argentina. It is a particularly acute problem among newly created SMEs that have a scant credit record and frequently lack collateral. The authors of this paper carried out a pilot test of an innovative psychometric tool aimed at evaluating credit risk among SME clients of Banco Ciudad de Buenos Aires (BCBA), one of the top three public banks of Argentina. SME responses were compared to their historical repayment records to determine if psychometric-based credit scoring models could help ameliorate the constraints
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Loecker, Florian, Amanah Ramadiah, and Kimmo Soramäki. Countering Consumer Fraud and Scams with National Fraud Portals. FNA, 2024. http://dx.doi.org/10.69701/oppl1525.

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In this paper, we argue that setting up a new Digital Public Infrastructure - a National Fraud Portal (NFP) - is the only way to address fraud and consumer scams efficiently. NFPs provide a technological solution as a shared facility for banks, law enforcement, the Financial Intelligence Unit (FIU), the central bank, the conduct supervisor, and other stakeholders. Further down the line, NFPs can connect to one another as cross-border criminal activity increases (a likely consequence of suppressing fraud domestically). The National Fraud Portal (NFP) enables: The real-time tracing and tracking
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Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3241.

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The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business
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