Spremljaj
Ramón Alberto Mollineda Cárdenas
Ramón Alberto Mollineda Cárdenas
Associate Professor, University Jaume I
Preverjeni e-poštni naslov na uji.es
Naslov
Navedeno
Navedeno
Leto
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
4442012
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
2812008
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
2582009
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
1672007
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
1382007
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
1212007
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
992010
Data characterization for effective prototype selection
RA Mollineda, JS Sánchez, JM Sotoca
Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA …, 2005
902005
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
842002
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
762012
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
722006
Vision-based gait impairment analysis for aided diagnosis
J Ortells, MT Herrero-Ezquerro, RA Mollineda
Medical & biological engineering & computing 56, 1553-1564, 2018
622018
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
622007
Cyclic sequence alignments: Approximate versus optimal techniques
RA Mollineda, E Vidal, F Casacuberta
International Journal of Pattern Recognition and Artificial Intelligence 16 …, 2002
612002
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
572007
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 1, 18-44, 2005
502005
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
452006
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
392010
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
362014
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
352014
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