Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification. - José Salvador Sánchez 001; Ricardo Barandela; A. I. Marqués; Roberto Alejo (SIBGRAPI, 2001)

Analysis of new techniques to obtain quality training sets. - José Salvador Sánchez 001; Ricardo Barandela; A. I. Marqués; Roberto Alejo; Jorge Badenas (Pattern Recognit. Lett., 2003)

An LVQ-based adaptive algorithm for learning from very small codebooks. - José Salvador Sánchez 001; A. I. Marqués (Neurocomputing, 2006)

Improving Risk Predictions by Preprocessing Imbalanced Credit Data. - Vicente García 001; Ana Isabel Marqués; José Salvador Sánchez 001 (ICONIP (2), 2012)

Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods. - José Salvador Sánchez 001; Vicente García 001; Ana Isabel Marqués (ICONIP (2), 2012)

Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring. - Vicente García 001; A. I. Marqués; J. Salvador Sánchez 001 (IS-MiS, 2012)

On the use of data filtering techniques for credit risk prediction with instance-based models. - Vicente García 001; A. I. Marqués; José Salvador Sánchez 001 (Expert Syst. Appl., 2012)

Exploring the behaviour of base classifiers in credit scoring ensembles. - A. I. Marqués; Vicente García 001; José Salvador Sánchez 001 (Expert Syst. Appl., 2012)

Two-level classifier ensembles for credit risk assessment. - A. I. Marqués; Vicente García 001; José Salvador Sánchez 001 (Expert Syst. Appl., 2012)

On the suitability of resampling techniques for the class imbalance problem in credit scoring. - Ana Isabel Marqués; Vicente García 001; José Salvador Sánchez 001 (J. Oper. Res. Soc., 2013)

A literature review on the application of evolutionary computing to credit scoring. - A. I. Marqués; Vicente García 001; José Salvador Sánchez 001 (J. Oper. Res. Soc., 2013)

An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. - Vicente García 001; Ana Isabel Marqués; José Salvador Sánchez 001 (J. Intell. Inf. Syst., 2015)

Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings. - Vicente García 001; Ana Isabel Marqués; Laura Cleofas-Sánchez; José Salvador Sánchez 001 (HAIS, 2016)

Financial distress prediction using the hybrid associative memory with translation. - Laura Cleofas-Sánchez; Vicente García 001; A. I. Marqués; José Salvador Sánchez 001 (Appl. Soft Comput., 2016)

A regression model based on the nearest centroid neighborhood. - Vicente García 001; J. Salvador Sánchez 001; A. I. Marqués; Rafael Martínez-Peláez (Pattern Anal. Appl., 2018)

Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction. - Vicente García 001; Ana Isabel Marqués; J. Salvador Sánchez 001 (Inf. Fusion, 2019)

Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data. - Vicente García 001; J. Salvador Sánchez 001; A. I. Marqués; Rogelio Florencia Juárez; Gilberto Rivera Zárate (Expert Syst. Appl., 2020)

Ranking-based MCDM models in financial management applications: analysis and emerging challenges. - Ana Isabel Marqués; Vicente García 001; José Salvador Sánchez 001 (Prog. Artif. Intell., 2020)