Listar por autoría "37a6e7ab-f6b2-432d-a43e-df4b40d17fa6"
Mostrando ítems 1-20 de 20
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A literature review on the application of evolutionary computing to credit scoring
Marqués Marzal, Ana Isabel; García, Vicente; Sánchez Garreta, Josep Salvador Palgrave Macmillan (2013)The last years have seen the development of many credit scoring models for assessing the creditworthiness of loan applicants. Traditional credit scoring methodology has involved the use of statistical and mathematical ... -
A regression model based on the nearest centroid neighborhood
García, Vicente; Sánchez Garreta, Josep Salvador; Marqués Marzal, Ana Isabel; Martínez-Peláez, Rafael Springer Verlag (2018)The renowned k-nearest neighbor decision rule is widely used for classification tasks, where the label of any new sample is estimated based on a similarity criterion defined by an appropriate distance function. It has also ... -
An insight into the experimental design for credit risk and corporate bankruptcy prediction systems
García, Vicente; Marqués Marzal, Ana Isabel; Sánchez Garreta, Josep Salvador Springer (2015-02)Over the last years, it has been observed an increasing interest of the finance and business communities in any application tool related to the prediction of credit and bankruptcy risk, probably due to the need of more ... -
Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods
Sánchez Garreta, Josep Salvador; García, Vicente; Marqués Marzal, Ana Isabel Springer Berlin Heidelberg (2012)A wide range of classification models have been explored for financial risk prediction, but conclusions on which technique behaves better may vary when different performance evaluation measures are employed. Accordingly, ... -
El cambiante mundo de las organizaciones. Hacia una organización saludable
Grandío_Botella, Antonio; Gimeno Navarro, Miguel Ángel; Marqués Marzal, Ana Isabel Universitat Rovira i Virgili (2013)Nuestro modelo actual de sociedad se halla inmerso en un profundo cambio (re-evolución), que nos está conduciendo hacia un mundo «enredado». Las organizaciones, como subsistemas fundamentales de esa sociedad, tienen el ... -
Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction
García, Vicente; Marqués Marzal, Ana Isabel; Sánchez Garreta, Josep Salvador; Ochoa Domínguez, Humberto de Jesús Springer (2019-03)Bankruptcy prediction has acquired great relevance for financial institutions due to the complexity of global economies and the growing number of corporate failures, especially since the world financial crisis of 2008. In ... -
Estudio de la incidencia de los factores psicosociales en la salud de la organización y de sus miembros
Gimeno Navarro, Miguel Ángel; Grandío_Botella, Antonio; Marqués Marzal, Ana Isabel Asociación Científica de Economía y Dirección de la Empresa (ACEDE) (2018-06)El objetivo principal de este trabajo es analizar el papel de los factores psicosociales en el desarrollo/obstaculización del potencial de las organizaciones y de sus miembros, y poder avanzar en la construcción de entornos ... -
Exploring the behaviour of base classifiers in credit scoring ensembles
Marqués Marzal, Ana Isabel; García, Vicente; Sánchez Garreta, Josep Salvador Elsevier (2012)Many techniques have been proposed for credit risk assessment, from statistical models to artificial intelligence methods. During the last few years, different approaches to classifier ensembles have successfully been ... -
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
García, Vicente; Marqués Marzal, Ana Isabel; Sánchez Garreta, Josep Salvador Elsevier (2018-07)Credit risk and corporate bankruptcy prediction has widely been studied as a binary classification problem using both advanced statistical and machine learning models. Ensembles of classifiers have demonstrated their ... -
Financial distress prediction using the hybrid associative memory with translation
Cleofás Sánchez, Laura; García, Vicente; Marqués Marzal, Ana Isabel; Sánchez Garreta, Josep Salvador Elsevier (2016)This paper presents an alternative technique for financial distress prediction systems. The method is based on a type of neural network, which is called hybrid associative memory with translation. While many different ... -
Implementation of a project-based learning to the coordination of subjects in the Agrifood and Rural Engineering Bachelor
Scalschi, Loredana; Lapeña, Leonor; Máñez Pitarch, María Jesús; Marqués Marzal, Ana Isabel; Camañes, Gemma; Aguilar-Fenollosa, Ernestina; Rodríguez-Sánchez, Alma; Llorens, Eugenio; Pina, Tatiana; Jaques , Josep A.; Fernández Crespo, Emma; Vicedo, Begonya Red Estatal de Docencia Universitaria (2015-10)The Bachelor’s Degree in Agrifood and Rural Engineering at Universitat Jaume I of Castelló has implemented in the second academic year a multidisciplinary project using a Project-Based Learning as the teaching method. ... -
Improving Risk Predictions by Preprocessing Imbalanced Credit Data
García, Vicente; Marqués Marzal, Ana Isabel; Sánchez Garreta, Josep Salvador Springer Berlin Heidelberg (2012)Imbalanced credit data sets refer to databases in which the class of defaulters is heavily under-represented in comparison to the class of non-defaulters. This is a very common situation in real-life credit scoring ... -
Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings
García, Vicente; Marqués Marzal, Ana Isabel; Cleofás Sánchez, Laura; Sánchez Garreta, Josep Salvador Springer International Publishing (2016)Many models have been explored for financial distress prediction, but no consistent conclusions have been drawn on which method shows the best behavior when different performance evaluation measures are employed. Accordingly, ... -
On the suitability of resampling techniques for the class imbalance problem in credit scoring
Marqués Marzal, Ana Isabel; García, Vicente; Sánchez Garreta, Josep Salvador Palgrave Macmillan (2013)In real-life credit scoring applications, the case in which the class of defaulters is under-represented in comparison with the class of non-defaulters is a very common situation, but it has still received little attention. ... -
On the use of data filtering techniques for credit risk prediction with instance-based models
García, Vicente; Sánchez Garreta, Josep Salvador; Marqués Marzal, Ana Isabel Elsevier (2012)Many techniques have been proposed for credit risk prediction, from statistical models to artificial intelligence methods. However, very few research efforts have been devoted to deal with the presence of noise and outliers ... -
Prácticas organizativas saludables frente a la violencia en el trabajo. Estudio de su incidencia
Grandío_Botella, Antonio; Marqués Marzal, Ana Isabel; Gimeno Navarro, Miguel Ángel Pontificia Universidad Católica del Perú (2012-07)Violence at work is a growing problem for organizations. It involves significant costs for the organization, its members and the community. In its various dimensions, organized violence is one of the least investigated. ... -
Ranking-based MCDM models in financial management applications: analysis and emerging challenges
Marqués Marzal, Ana Isabel; García, Vicente; Sánchez Garreta, Josep Salvador Springer (2020)Over the last decades, the academic and professional communities have paid much attention toward the use of multi-criteria decision-making methods in a range of business and financial problems due to the variety and ... -
Synergetic Application of Multi-Criteria Decision-Making Models to Credit Granting Decision Problems
García, Vicente; Sánchez Garreta, Josep Salvador; Marqués Marzal, Ana Isabel (2019-11-22)Although various algorithms have widely been studied for bankruptcy and credit risk prediction, conclusions regarding the best performing method are divergent when using different performance assessment metrics. As a ... -
Two-level classifier ensembles for credit risk assessment
Marqués Marzal, Ana Isabel; García, Vicente; Sánchez Garreta, Josep Salvador Elsevier (2012)Many techniques have been proposed for credit risk assessment, from statistical models to artificial intelligence methods. During the last few years, different approaches to classifier ensembles have successfully been ... -
Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data
García, Vicente; Sánchez Garreta, Josep Salvador; Marqués Marzal, Ana Isabel; Florencia, R.; Rivera, G. Elsevier (2020-11-15)Data plays a key role in the design of expert and intelligent systems and therefore, data preprocessing appears to be a critical step to produce high-quality data and build accurate machine learning models. Over the past ...