Visualitza LSI_Articles per autoria "29ad7020-7011-4b86-adf7-0ea2240eb747"
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A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
Alejo Eleuterio, Roberto; Valdovinos Rosas, Rosa María; García, Vicente; Pacheco Sánchez, J. H. Elsevier (2013)Class imbalance and class overlap are two of the major problems in data mining and machine learning. Several studies have shown that these data complexities may affect the performance or behavior of artificial neural ... -
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 ... -
Back propagation with balanced MSE cost Function and nearest neighbor editing for handling class overlap and class imbalance
Alejo Eleuterio, Roberto; Martínez Sotoca, José; García, Vicente; Valdovinos Rosas, Rosa María Springer (2011)The class imbalance problem has been considered a critical factor for designing and constructing the supervised classifiers. In the case of artificial neural networks, this complexity negatively affects the generalization ... -
Classification of high dimensional and imbalanced hyperspectral imagery data
García, Vicente; Sánchez Garreta, Josep Salvador; Mollineda, Ramón A. Springer (2011)The present paper addresses the problem of the classification of hyperspectral images with multiple imbalanced classes and very high dimensionality. Class imbalance is handled by resampling the data set, whereas PCA is ... -
Exploring synergetic effects of dimensionality reduction and resampling tools on hyperspectral imagery data classification
Sánchez Garreta, Josep Salvador; García, Vicente; Mollineda, Ramón A. Springer (2011)The present paper addresses the problem of the classification of hyperspectral images with multiple imbalanced classes and very high dimensionality. Class imbalance is handled by resampling the data set, whereas PCA and a ... -
Exploring the performance of resampling strategies for the class imbalance problem
García, Vicente; Sánchez Garreta, Josep Salvador; Mollineda, Ramón A. Springer Verlag (2010)The present paper studies the influence of two distinct factors on the performance of some resampling strategies for handling imbalanced data sets. In particular, we focus on the nature of the classifier used, along with ... -
Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory
Cleofás Sánchez, Laura; Sánchez Garreta, Josep Salvador; García, Vicente Springer Verlag (2019)In general, gene expression microarrays consist of a vast number of genes and very few samples, which represents a critical challenge for disease prediction and diagnosis. This paper develops a two-stage algorithm that ... -
Index of balanced accuracy: a performance measure for skewed class distributions
García, Vicente; Mollineda, Ramón A.; Sánchez Garreta, Josep Salvador Springer Verlag (Germany) (2009)This paper introduces a new metric, named Index of Balanced Accuracy, for evaluating learning processes in two-class imbalanced domains. The method combines an unbiased index of its overall accuracy and a measure about how ... -
Melodic track identification in MIDI files considering the imbalanced context
Martín Félez, Raúl; Mollineda, Ramón A.; García, Vicente Springer Verlag (Germany) (2009)In this paper, the problem of identifying the melodic track of a MIDI file in imbalanced scenarios is addressed. A polyphonic MIDI file is a digital score that consists of a set of tracks where usually only one of them ... -
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. ... -
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 ... -
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 ... -
Use of ensemble based on GA for imbalance problem
Cleofás Sánchez, Laura; Valdovinos Rosas, Rosa María; García, Vicente; Alejo Eleuterio, Roberto Springer Verlag (Germany) (2009)In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifier performance, in particular with patterns ...