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ORCIDA. I. Marqués
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2020 – today
- 2020
[j13]Vicente García
, J. Salvador Sánchez, A. I. Marqués, Rogelio Florencia Juárez, Gilberto Rivera Zárate:
Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data. Expert Syst. Appl. 158: 113026 (2020)- [j12]Ana Isabel Marqués, Vicente García, José Salvador Sánchez:
Ranking-based MCDM models in financial management applications: analysis and emerging challenges. Prog. Artif. Intell. 9(3): 171-193 (2020)
2010 – 2019
- 2019
- [j11]Vicente García, Ana Isabel Marqués, J. Salvador Sánchez:
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction. Inf. Fusion 47: 88-101 (2019) - 2018
- [j10]Vicente García, J. Salvador Sánchez, A. I. Marqués, Rafael Martínez-Peláez:
A regression model based on the nearest centroid neighborhood. Pattern Anal. Appl. 21(4): 941-951 (2018) - 2016
- [j9]Laura Cleofas-Sánchez, Vicente García, A. I. Marqués, José Salvador Sánchez:
Financial distress prediction using the hybrid associative memory with translation. Appl. Soft Comput. 44: 144-152 (2016) - [c5]Vicente García, Ana Isabel Marqués, Laura Cleofas-Sánchez, José Salvador Sánchez:
Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings. HAIS 2016: 524-535 - 2015
- [j8]Vicente García, Ana Isabel Marqués, José Salvador Sánchez:
An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. J. Intell. Inf. Syst. 44(1): 159-189 (2015) - 2013
- [j7]Ana Isabel Marqués, Vicente García, José Salvador Sánchez:
On the suitability of resampling techniques for the class imbalance problem in credit scoring. J. Oper. Res. Soc. 64(7): 1060-1070 (2013) - [j6]A. I. Marqués, Vicente García, José Salvador Sánchez:
A literature review on the application of evolutionary computing to credit scoring. J. Oper. Res. Soc. 64(9): 1384-1399 (2013) - 2012
- [j5]A. I. Marqués, Vicente García, José Salvador Sánchez:
Exploring the behaviour of base classifiers in credit scoring ensembles. Expert Syst. Appl. 39(11): 10244-10250 (2012) - [j4]A. I. Marqués, Vicente García, José Salvador Sánchez:
Two-level classifier ensembles for credit risk assessment. Expert Syst. Appl. 39(12): 10916-10922 (2012) - [j3]Vicente García, A. I. Marqués, José Salvador Sánchez:
On the use of data filtering techniques for credit risk prediction with instance-based models. Expert Syst. Appl. 39(18): 13267-13276 (2012) - [c4]José Salvador Sánchez, Vicente García, Ana Isabel Marqués:
Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods. ICONIP (2) 2012: 60-67 - [c3]Vicente García, Ana Isabel Marqués, José Salvador Sánchez:
Improving Risk Predictions by Preprocessing Imbalanced Credit Data. ICONIP (2) 2012: 68-75 - [c2]Vicente García, A. I. Marqués, J. Salvador Sánchez:
Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring. IS-MiS 2012: 263-272
2000 – 2009
- 2006
- [j2]José Salvador Sánchez, A. I. Marqués:
An LVQ-based adaptive algorithm for learning from very small codebooks. Neurocomputing 69(7-9): 922-927 (2006) - 2003
- [j1]José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo, Jorge Badenas:
Analysis of new techniques to obtain quality training sets. Pattern Recognit. Lett. 24(7): 1015-1022 (2003) - 2001
- [c1]José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo:
Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification. SIBGRAPI 2001: 44-50
Coauthor Index
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