• openAccess   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 ...
    • openAccess   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 ...
    • openAccess   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 ...
    • openAccess   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. ...
    • closedAccess   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 ...
    • closedAccess   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 ...