A comprehensive survey on support vector machine classification: Applications, challenges and trends J Cervantes, F Garcia-Lamont, L Rodríguez-Mazahua, A Lopez Neurocomputing 408, 189-215, 2020 | 1847 | 2020 |
A general perspective of Big Data: applications, tools, challenges and trends L Rodríguez-Mazahua, CA Rodríguez-Enríquez, JL Sánchez-Cervantes, ... The Journal of Supercomputing 72, 3073-3113, 2016 | 238 | 2016 |
Segmentation of images by color features: A survey F Garcia-Lamont, J Cervantes, A López, L Rodriguez Neurocomputing 292, 1-27, 2018 | 228 | 2018 |
Support vector machine classification for large data sets via minimum enclosing ball clustering J Cervantes, X Li, W Yu, K Li Neurocomputing 71 (4-6), 611-619, 2008 | 194 | 2008 |
PSO-based method for SVM classification on skewed data sets J Cervantes, F Garcia-Lamont, L Rodriguez, A López, J Ruiz-Castilla, T A. Neurocomputing 228 (8), Pages 187-197, 2017 | 115 | 2017 |
Data selection based on decision tree for SVM classification on large data sets J Cervantes, FG Lamont, A López-Chau, LR Mazahua, JS Ruíz Applied Soft Computing 37, 787-798, 2015 | 96 | 2015 |
Recognition of Mexican banknotes via their color and texture features F García-Lamont, J Cervantes, A López Expert Systems with applications 39 (10), 9651-9660, 2012 | 84 | 2012 |
Support vector machine classification based on fuzzy clustering for large data sets J Cervantes, X Li, W Yu MICAI 2006: Advances in Artificial Intelligence: 5th Mexican International …, 2006 | 75 | 2006 |
Fisher’s decision tree A López-Chau, J Cervantes, L López-García, FG Lamont Expert Systems with Applications 40 (16), 6283-6291, 2013 | 67 | 2013 |
Fruit classification by extracting color chromaticity, shape and texture features: towards an application for supermarkets F Garcia, J Cervantes, A López, M Alvarado IEEE Latin America Transactions 14 (7), 3434-3443, 2016 | 50 | 2016 |
SVM classification for large data sets by considering models of classes distribution J Cervantes, X Li, W Yu 2007 Sixth Mexican International Conference on Artificial Intelligence …, 2007 | 44 | 2007 |
Análisis comparativo de las técnicas utilizadas en un sistema de reconocimiento de hojas de planta J Cervantes, J Taltempa, F García Lamont, JS Ruiz Castilla, ... Revista Iberoamericana de Automática e Informática industrial 14 (1), 104-114, 2017 | 36 | 2017 |
Mexican sign language segmentation using color based neuronal networks to detect the individual skin color J Espejel-Cabrera, J Cervantes, F García-Lamont, JSR Castilla, LD Jalili Expert Systems with Applications 183, 115295, 2021 | 27 | 2021 |
Imbalanced data classification via support vector machines and genetic algorithms J Cervantes, X Li, W Yu Connection Science 26 (4), 335-348, 2014 | 24 | 2014 |
A novel SVM classification method for large data sets X Li, J Cervantes, W Yu 2010 IEEE International Conference on Granular Computing, 297-302, 2010 | 24 | 2010 |
Two-stage svm classification for large data sets via randomly reducing and recovering training data X Li, J Cervantes, W Yu 2007 IEEE International Conference on Systems, Man and Cybernetics, 3633-3638, 2007 | 24 | 2007 |
Using genetic algorithm to improve classification accuracy on imbalanced data J Cervantes, X Li, W Yu 2013 IEEE international conference on systems, man, and cybernetics, 2659-2664, 2013 | 23 | 2013 |
Fast classification for large data sets via random selection clustering and support vector machines X Li, J Cervantes, W Yu Intelligent Data Analysis 16 (6), 897-914, 2012 | 20 | 2012 |
Support vector classification for large data sets by reducing training data with change of classes J Cervantes, X Li, Y Wen 2008 IEEE international conference on systems, man and cybernetics, 2609-2614, 2008 | 18 | 2008 |
A comprehensive survey on segmentation techniques for retinal vessel segmentation J Cervantes, J Cervantes, F García-Lamont, A Yee-Rendon, JE Cabrera, ... Neurocomputing 556, 126626, 2023 | 17 | 2023 |