| 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 | 430 | 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 | 272 | 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 | 248 | 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 | 153 | 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 | 136 | 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 | 125 | 2007 |
| 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 | 90 | 2010 |
| Data characterization for effective prototype selection RA Mollineda, JS Sánchez, JM Sotoca Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA …, 2005 | 87 | 2005 |
| 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 | 83 | 2002 |
| 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 | 75 | 2006 |
| 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 | 74 | 2012 |
| Vision-based gait impairment analysis for aided diagnosis J Ortells, MT Herrero-Ezquerro, RA Mollineda Medical & biological engineering & computing 56, 1553-1564, 2018 | 60 | 2018 |
| Cyclic sequence alignments: Approximate versus optimal techniques RA Mollineda, E Vidal, F Casacuberta International Journal of Pattern Recognition and Artificial Intelligence 16 …, 2002 | 59 | 2002 |
| 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 | 58 | 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 | 54 | 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, 2005 | 50 | 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 | 43 | 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 | 36 | 2014 |
| A relative approach to hierarchical clustering RA Mollineda, E Vidal Pattern Recognition and Applications 56, 19-28, 2000 | 35 | 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 | 33 | 2010 |
Josep Salvador Sánchez GarretaFull Professor of Computer Science, Universitat Jaume I, Castelló, SpainEmail verificata su uji.es
