Yaile Caballero Mota
Yaile Caballero Mota
Dirección de correo verificada de reduc.edu.cu
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SMOTE-RSB*: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
E Ramentol, Y Caballero, R Bello, F Herrera
Knowledge and information systems 33 (2), 245-265, 2012
Online and non-parametric drift detection methods based on Hoeffding’s bounds
I Frías-Blanco, J del Campo-Ávila, G Ramos-Jimenez, R Morales-Bueno, ...
IEEE Transactions on Knowledge and Data Engineering 27 (3), 810-823, 2014
IFROWANN: imbalanced fuzzy-rough ordered weighted average nearest neighbor classification
E Ramentol, S Vluymans, N Verbiest, Y Caballero, R Bello, C Cornelis, ...
IEEE Transactions on Fuzzy Systems 23 (5), 1622-1637, 2014
Correcting noisy ratings in collaborative recommender systems
RY Toledo, YC Mota, L Martínez
Knowledge-Based Systems 76, 96-108, 2015
A method to build similarity relations into extended Rough Set Theory
Y Filiberto, Y Caballero, R Larrua, R Bello
2010 10th International Conference on Intelligent Systems Design and …, 2010
Using PSO and RST to predict the resistant capacity of connections in composite structures
Y Filiberto, R Bello, Y Caballero, R Larrua
Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), 359-370, 2010
SMOTE-FRST: a new resampling method using fuzzy rough set theory
E Ramentol, N Verbiest, R Bello, Y Caballero, C Cornelis, F Herrera
Uncertainty Modeling in Knowledge Engineering and Decision Making, 800-805, 2012
Feature selection algorithms using rough set theory
Y Caballero, D Alvarez, R Bello, MM Garcia
Seventh International Conference on Intelligent Systems Design and …, 2007
A model based on ant colony system and rough set theory to feature selection
R Bello, A Nowe, Y Caballero, Y Gómez, P Vrancx
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm
E Ramentol, I Gondres, S Lajes, R Bello, Y Caballero, C Cornelis, ...
Engineering Applications of Artificial Intelligence 48, 134-139, 2016
An e-learning collaborative filtering approach to suggest problems to solve in programming online judges
RY Toledo, YC Mota
International Journal of Distance Education Technologies (IJDET) 12 (2), 51-65, 2014
Semiótica y ciencias humanas
D Blanco
Letras (Lima) 77 (111-112), 59-73, 2006
Algoritmo para el aprendizaje de reglas de clasificación basado en la teoría de los conjuntos aproximados extendida
Y Filiberto, R Bello, Y Caballero, M Frías
Dyna 78 (169), 62-70, 2011
Two new feature selection algorithms with Rough Sets Theory
Y Caballero, R Bello, D Alvarez, MM Garcia
IFIP International Conference on Artificial Intelligence in Theory and …, 2006
Using ACO and rough set theory to feature selection.
R Bello, A Nowe, Y Gomezd, Y Caballero
WSEAS Transactions on Information Science and Applications 2 (5), 512-517, 2005
Aplicación de la teoría de los conjuntos aproximados en el preprocesamiento de los conjuntos de entrenamiento para algoritmos de aprendizaje automatizado
Y Caballeros Mota
Universidad Central" Marta Abreu" de Las Villas. Facultad de Matemática …, 2007
A method to edit training set based on rough sets
Y Caballero, R Bello, Y Salgado, MM García
International Journal of Computational Intelligence Research 3 (3), 219-229, 2007
Fast adapting ensemble: A new algorithm for mining data streams with concept drift
A Ortíz Díaz, J del Campo-Ávila, G Ramos-Jiménez, I Frías Blanco, ...
The Scientific World Journal 2015, 2015
An analysis about the measure quality of similarity and its applications in machine learning
Y Filiberto, R Bello, Y Caballero, M Frias
Fourth International Workshop on Knowledge Discovery, Knowledge Management …, 2013
Improving the MLP learning by using a method to calculate the initial weights of the network based on the quality of similarity measure
YF Cabrera, RB Pérez, YC Mota, GR Jimenez
Mexican International Conference on Artificial Intelligence, 351-362, 2011
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