Roberto Alejo
Roberto Alejo
Profesor Investigador, Instituto Tecnológico de Toluca
Dirección de correo verificada de toluca.tecnm.mx - Página principal
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Analysis of new techniques to obtain quality training sets
JS Sánchez, R Barandela, AI Marqués, R Alejo, J Badenas
Pattern Recognition Letters 24 (7), 1015-1022, 2003
1762003
The class imbalance problem in pattern classification and learning
V Garcia, JS Sanchez, RA Mollineda, R Alejo, JM Sotoca
II Congreso Español de Informática, 283-291, 2007
147*2007
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
492007
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
492006
A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
R Alejo, RM Valdovinos, V García, JH Pacheco-Sanchez
Pattern Recognition Letters 34 (4), 380-388, 2013
432013
Improving the classification accuracy of RBF and MLP neural networks trained with imbalanced samples
R Alejo, V Garcia, JM Sotoca, RA Mollineda, JS Sánchez
International Conference on Intelligent Data Engineering and Automated …, 2006
262006
An empirical study for the multi-class imbalance problem with neural networks
R Alejo, JM Sotoca, GA Casañ
Iberoamerican Congress on Pattern Recognition, 479-486, 2008
212008
When overlapping unexpectedly alters the class imbalance effects
V García, RA Mollineda, JS Sánchez, R Alejo, JM Sotoca
Iberian Conference on Pattern Recognition and Image Analysis, 499-506, 2007
212007
An efficient over-sampling approach based on mean square error back-propagation for dealing with the multi-class imbalance problem
R Alejo, V García, JH Pacheco-Sánchez
Neural Processing Letters 42 (3), 603-617, 2015
182015
Making accurate credit risk predictions with cost-sensitive mlp neural networks
R Alejo, V García, AI Marqués, JS Sánchez, JA Antonio-Velázquez
Management intelligent systems, 1-8, 2013
152013
Empirical analysis of assessments metrics for multi-class imbalance learning on the back-propagation context
JP Sánchez-Crisostomo, R Alejo, E López-González, RM Valdovinos, ...
International Conference in Swarm Intelligence, 17-23, 2014
122014
Minería de datos aplicada para la identificación de factores de riesgo en alumnos
A Reyes-Nava, A Flores-Fuentes, R Alejo, E Rendón-Lara, ...
Research in Computing Science, ISSN 1870-4069 139, 177--189, 2017
112017
A selective dynamic sampling back-propagation approach for handling the two-class imbalance problem
R Alejo, J Monroy-de-Jesús, JH Pacheco-Sánchez, E López-González, ...
Applied Sciences 6 (7), 200, 2016
112016
Edited nearest neighbor rule for improving neural networks classifications
R Alejo, JM Sotoca, RM Valdovinos, P Toribio
International Symposium on Neural Networks, 303-310, 2010
112010
Correcting the training data
R Barandela, E Gasca, R Alejo
Pattern Recognition and String Matching, 1-41, 2003
10*2003
The multi-class imbalance problem: Cost functions with modular and non-modular neural networks
R Alejo, JM Sotoca, RM Valdovinos, GA Casan
The Sixth International Symposium on Neural Networks (ISNN 2009), 421-431, 2009
92009
Performance evaluation of prototype selection algorithms for nearest neighbor classification
JS Sánchez, R Barandela, R Alejo, AI Marques
Proceedings XIV Brazilian Symposium on Computer Graphics and Image …, 2001
92001
Assessments metrics for multi-class imbalance learning: A preliminary study
R Alejo, JA Antonio, RM Valdovinos, JH Pacheco-Sánchez
Mexican Conference on Pattern Recognition, 335-343, 2013
82013
Performance analysis of deep neural networks for classification of gene-expression microarrays
A Reyes-Nava, JS Sánchez, R Alejo, AA Flores-Fuentes, E Rendón-Lara
Mexican Conference on Pattern Recognition, 105-115, 2018
72018
An improved dynamic sampling back-propagation algorithm based on mean square error to face the multi-class imbalance problem
R Alejo, J Monroy-de-Jesús, JC Ambriz-Polo, JH Pacheco-Sánchez
Neural Computing and Applications 28 (10), 2843-2857, 2017
72017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20