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, 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
An empirical study of the behavior of classifiers on imbalanced and overlapped data sets
V García, J Sánchez, R Mollineda
Progress in Pattern Recognition, Image Analysis and Applications: 12th …, 2007
The class imbalance problem in pattern classification and learning
V Garcia, JS Sanchez, RAM Cardenas, RA Eleuterio, JM Sotoca
Actas del IV Taller de Minería de Datos y Aprendizaje:[TAMIDA 2007], 283-292, 2007
An analysis of how training data complexity affects the nearest neighbor classifiers
JS Sánchez, RA Mollineda, JM Sotoca
Pattern Analysis and Applications 10, 189-201, 2007
Data characterization for effective prototype selection
RA Mollineda, JS Sánchez, JM Sotoca
Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA …, 2005
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
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
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets
V García, JS Sánchez, R Martín-Félez, RA Mollineda
Progress in Artificial Intelligence 1, 347-362, 2012
Combined effects of class imbalance and class overlap on instance-based classification
V García, R Alejo, JS Sánchez, JM Sotoca, RA Mollineda
Intelligent Data Engineering and Automated Learning–IDEAL 2006: 7th …, 2006
Improving the performance of the RBF neural networks trained with imbalanced samples
R Alejo, V García, JM Sotoca, RA Mollineda, JS Sánchez
Computational and Ambient Intelligence: 9th International Work-Conference on …, 2007
Cyclic sequence alignments: Approximate versus optimal techniques
RA Mollineda, E Vidal, F Casacuberta
International Journal of Pattern Recognition and Artificial Intelligence 16 …, 2002
Vision-based gait impairment analysis for aided diagnosis
J Ortells, MT Herrero-Ezquerro, RA Mollineda
Medical & biological engineering & computing 56, 1553-1564, 2018
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 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
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
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
Exploring the performance of resampling strategies for the class imbalance problem
V García, JS Sánchez, RA Mollineda
Trends in Applied Intelligent Systems: 23rd International Conference on …, 2010
The system can't perform the operation now. Try again later.
Articles 1–20