A. I. Marqués

发表

On the use of data filtering techniques for credit risk prediction with instance-based models

José Salvador Sánchez, Vicente García, A. I. Marqués, 2012, Expert Syst. Appl..

Making Accurate Credit Risk Predictions with Cost-Sensitive MLP Neural Networks

José Salvador Sánchez, Vicente García, A. I. Marqués, 2013 .

A literature review on the application of evolutionary computing to credit scoring

José Salvador Sánchez, Vicente García, A. I. Marqués, 2013, J. Oper. Res. Soc..

Analysis of new techniques to obtain quality training sets

Roberto Alejo, José Salvador Sánchez, Ricardo Barandela, 2003, Pattern Recognit. Lett..

A regression model based on the nearest centroid neighborhood

Vicente García, A. I. Marqués, J. Salvador Sánchez, 2018, Pattern Analysis and Applications.

An LVQ-based adaptive algorithm for learning from very small codebooks

José Salvador Sánchez, A. I. Marqués, J. S. Sánchez, 2006, Neurocomputing.

Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data

Rogelio Florencia Juárez, A. I. Marqués, Vicente García, 2020, Expert Syst. Appl..

CONSOLIDATION OF A MULTIDISCIPLINARY PROJECT FOR THE COORDINATION OF DIFFERENT SUBJECTS OF THE BACHELORS’ DEGREE IN AGRIFOOD AND RURAL ENGINEERING OF UNIVERSITAT JAUME I

A. I. Marqués, Gemma Camañes, Begonya Vicedo, 2014 .

Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring

Vicente García, A. I. Marqués, J. Salvador Sánchez, 2012, IS-MiS.

Performance evaluation of prototype selection algorithms for nearest neighbor classification

Roberto Alejo, José Salvador Sánchez, Ricardo Barandela, 2001, Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing.

Improving Risk Predictions by Preprocessing Imbalanced Credit Data

José Salvador Sánchez, A. I. Marqués, Vicente García, 2012, ICONIP.

Two-level classifier ensembles for credit risk assessment

José Salvador Sánchez, Vicente García, A. I. Marqués, 2012, Expert Syst. Appl..

Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings

José Salvador Sánchez, A. I. Marqués, Vicente García, 2016, HAIS.

Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods

José Salvador Sánchez, Vicente García, A. I. Marqués, 2012, ICONIP.

On the suitability of resampling techniques for the class imbalance problem in credit scoring

José Salvador Sánchez, A. I. Marqués, Vicente García, 2013, J. Oper. Res. Soc..

Enhanced Neighbourhood Specifications for Pattern Classification

José Salvador Sánchez, A. I. Marqués, J. S. Sánchez, 2003 .

Synergetic Application of Multi-Criteria Decision-Making Models to Credit Granting Decision Problems

A. I. Marqués, Vicente García, J. Salvador Sánchez, 2019, Applied Sciences.

Exploring the behaviour of base classifiers in credit scoring ensembles

A. I. Marqués, J. S. Sánchez, V. García, 2012, Expert Syst. Appl..

An insight into the experimental design for credit risk and corporate bankruptcy prediction systems

José Salvador Sánchez, Vicente García, A. I. Marqués, 2014, Journal of Intelligent Information Systems.

Financial distress prediction using the hybrid associative memory with translation

José Salvador Sánchez, Vicente García, A. I. Marqués, 2016, Appl. Soft Comput..

Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction

Vicente García, A. I. Marqués, J. Salvador Sánchez, 2019, Inf. Fusion.

An insight into the experimental design for credit risk and corporate bankruptcy prediction systems

A. I. Marqués, V. García, J. S. Sánchez, 2015, Journal of Intelligent Information Systems.

Vicente García, A. I. Marqués, J. Salvador Sánchez, 2017, Computational Economics.

Ranking-based MCDM models in financial management applications: analysis and emerging challenges

A. I. Marqués, V. García, J. S. Sánchez, 2020, Progress in Artificial Intelligence.

A. I. Marqués, V. García, J. S. Sánchez, 2017, Computational Economics.

A regression model based on the nearest centroid neighborhood

A. I. Marqués, V. García, R. Martínez-Peláez, 2018, Pattern Analysis and Applications.

Ranking-based MCDM models in financial management applications: analysis and emerging challenges

A. I. Marqués, Vicente García, J. Salvador Sánchez, 2020, Progress in Artificial Intelligence.