Ramón Alberto Mollineda Cárdenas
Ramón Alberto Mollineda Cárdenas
Associate Professor, University Jaume I
Verified email at
Cited by
Cited by
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
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), 269-280, 2008
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
The class imbalance problem in pattern classification and learning
V Garcia, JS Sanchez, RA Mollineda, R Alejo, JM Sotoca
Data Engineering, 283-291, 2007
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
An analysis of how training data complexity affects the nearest neighbor classifiers
JS Sánchez, RA Mollineda, JM Sotoca
Pattern Analysis and Applications 10 (3), 189-201, 2007
An efficient prototype merging strategy for the condensed 1-NN rule through class-conditional hierarchical clustering
RA Mollineda, FJ Ferri, E Vidal
Pattern Recognition 35 (12), 2771-2782, 2002
Data characterization for effective prototype selection
RA Mollineda, JS Sánchez, JM Sotoca
Iberian Conference on Pattern Recognition and Image Analysis, 27-34, 2005
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
Theoretical analysis of a performance measure for imbalanced data
V García, RA Mollineda, JS Sánchez
2010 20th International Conference on Pattern Recognition, 617-620, 2010
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets
V García, JS Sánchez, R Martín-Félez, RA Mollineda
Progress in Artificial Intelligence 1 (4), 347-362, 2012
Cyclic sequence alignments: approximate versus optimal techniques
RA Mollineda, E Vidal, F Casacuberta
International Journal of Pattern Recognition and Artificial Intelligence 16 …, 2002
Improving the performance of the RBF neural networks trained with imbalanced samples
R Alejo, V García, JM Sotoca, RA Mollineda, JS Sánchez
International work-conference on artificial neural networks, 162-169, 2007
The class imbalance problem in pattern classification and learning
R Mollineda, R Alejo, J Sotoca
II Congreso Espanol de Informática (CEDI 2007). ISBN, 978-84, 2007
A meta-learning framework for pattern classication by means of data complexity measures
JM Sotoca, RA Mollineda, JS Sánchez
Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial …, 2006
A review of data complexity measures and their applicability to pattern classification problems
JM Sotoca, JS Sánchez, RA Mollineda
Actas del III Taller Nacional de Mineria de Datos y Aprendizaje. TAMIDA, 77-83, 2005
Vision-based gait impairment analysis for aided diagnosis
J Ortells, MT Herrero-Ezquerro, RA Mollineda
Medical & biological engineering & computing 56 (9), 1553-1564, 2018
Face gender classification: A statistical study when neutral and distorted faces are combined for training and testing purposes
Y Andreu, P García-Sevilla, RA Mollineda
Image and Vision Computing 32 (1), 27-36, 2014
A relative approach to hierarchical clustering
RA Mollineda, E Vidal
Pattern Recognition and Applications 56, 19-28, 2000
A bias correction function for classification performance assessment in two-class imbalanced problems
V García, RA Mollineda, JS Sánchez
Knowledge-Based Systems 59, 66-74, 2014
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