A. I. Marqués

According to our database, A. I. Marqués authored at least 18 papers between 2001 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

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

Ana Isabel Marqués, Vicente García, José Salvador Sánchez

Prog. Artif. Intell., 2020

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

Vicente García, J. Salvador Sánchez, A. I. Marqués, Rogelio Florencia Juárez, Gilberto Rivera Zárate

Expert Syst. Appl., 2020

2019

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

Vicente García, Ana Isabel Marqués, J. Salvador Sánchez

Inf. Fusion, 2019

2018

A regression model based on the nearest centroid neighborhood.

Vicente García, J. Salvador Sánchez, A. I. Marqués, Rafael Martínez-Peláez

Pattern Anal. Appl., 2018

2016

Financial distress prediction using the hybrid associative memory with translation.

Laura Cleofas-Sánchez, Vicente García, A. I. Marqués, José Salvador Sánchez

Appl. Soft Comput., 2016

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

Vicente García, Ana Isabel Marqués, Laura Cleofas-Sánchez, José Salvador Sánchez

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015

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

Vicente García, Ana Isabel Marqués, José Salvador Sánchez

J. Intell. Inf. Syst., 2015

2013

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

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

J. Oper. Res. Soc., 2013

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

Ana Isabel Marqués, Vicente García, José Salvador Sánchez

J. Oper. Res. Soc., 2013

2012

Two-level classifier ensembles for credit risk assessment.

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

Expert Syst. Appl., 2012

Exploring the behaviour of base classifiers in credit scoring ensembles.

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

Expert Syst. Appl., 2012

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

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

Expert Syst. Appl., 2012

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

Vicente García, A. I. Marqués, J. Salvador Sánchez

Proceedings of the Management Intelligent Systems - First International Symposium, 2012

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

José Salvador Sánchez, Vicente García, Ana Isabel Marqués

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Improving Risk Predictions by Preprocessing Imbalanced Credit Data.

Vicente García, Ana Isabel Marqués, José Salvador Sánchez

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2006

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

José Salvador Sánchez, A. I. Marqués

Neurocomputing, 2006

2003

Analysis of new techniques to obtain quality training sets.

José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo, Jorge Badenas

Pattern Recognit. Lett., 2003

2001

Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification.

José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo

Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001