Vicente García
Title
Cited by
Cited by
Year
Strategies for learning in class imbalance problems
R Barandela, JS Sánchez, V García, E Rangel
Pattern Recognition 36 (3), 849-851, 2003
5412003
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance
V García, JS Sánchez, RA Mollineda
Knowledge-Based Systems 25 (1), 13-21, 2012
2092012
On the k-NN performance in a challenging scenario of imbalance and overlapping
V García, RA Mollineda, JS Sánchez
Pattern Analysis and Applications 11 (3-4), 269-280, 2008
1642008
The class imbalance problem in pattern classification and learning
V García, JS Sánchez, RA Mollineda, JM Sotoca, R Alejo
II Congreso Español de Informática, 2007
135*2007
Exploring the behaviour of base classifiers in credit scoring ensembles
AI Marqués, V García, JS Sánchez
Expert Systems with Applications 39 (11), 10244-10250, 2012
1052012
On the suitability of resampling techniques for the class imbalance problem in credit scoring
AI Marqués, V García, JS Sánchez
Journal of the Operational Research Society 64 (7), 1060-1070, 2013
942013
Two-level classifier ensembles for credit risk assessment
AI Marqués, V García, JS Sánchez
Expert Systems with Applications 39 (12), 10916-10922, 2012
862012
A literature review on the application of evolutionary computing to credit scoring
AI Marqués, V García, JS Sánchez
Journal of the Operational Research Society 64 (9), 1384-1399, 2013
812013
An empirical study of the behavior of classifiers on imbalanced and overlapped data sets
V García, J Sánchez, R Mollineda
Iberoamerican Congress on Pattern Recognition, 397-406, 2007
762007
Index of balanced accuracy: A performance measure for skewed class distributions
V García, RA Mollineda, JS Sánchez
Iberian Conference on Pattern Recognition and Image Analysis, 441-448, 2009
652009
An insight into the experimental design for credit risk and corporate bankruptcy prediction systems
V García, AI Marqués, JS Sánchez
Journal of Intelligent Information Systems 44 (1), 159-189, 2015
552015
Improving the performance of the RBF neural networks trained with imbalanced samples
R Alejo, V García, JM Sotoca, RA Mollineda, JS Sánchez
Proceedings of the 9th international work conference on Artificial neural …, 2007
462007
Combined effects of class imbalance and class overlap on instance-based classification
V García, R Alejo, JS Sánchez, JM Sotoca, RA Mollineda
International Conference on Intelligent Data Engineering and Automated …, 2006
452006
Theoretical Analysis of a Performance Measure for Imbalanced Data
V Garcıa, RA Mollineda, JS Sánchez
2010 20th International Conference on Pattern Recognition (ICPR), 617-620, 2010
372010
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
R Alejo, RM Valdovinos, V García, JH Pacheco-Sanchez
Pattern Recognition Letters 34 (1), 380-388, 2013
352013
On the use of data filtering techniques for credit risk prediction with instance-based models
V García, AI Marqués, JS Sánchez
Expert Systems with Applications 39 (18), 13267–13276, 2012
332012
Financial distress prediction using the hybrid associative memory with translation
L Cleofas-Sánchez, V García, AI Marqués, JS Sánchez
Applied Soft Computing 44, 144–152, 2016
282016
Improving the classification accuracy of RBF and MLP neural networks trained with imbalanced samples
R Alejo, V Garcia, JM Sotoca, RA Mollineda, JS Sánchez
International Conference on Intelligent Data Engineering and Automated …, 2006
252006
Mapping microarray gene expression data into dissimilarity spaces for tumor classification
V García, JS Sánchez
Information Sciences 294, 362-375, 2015
242015
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets
V García, JS Sánchez, R Martín-Félez, RA Mollineda
Progress in Artificial Intelligence, 1-16, 2012
242012
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Articles 1–20