Yaile Caballero

18 papers A 1C 5Misc 1Journal 4Unranked 5
YearRankTypeTitle / Venue / Authors
2022 — ch.
Applications of Computational Intelligence in the Studies of Covid-19.
Computational Intelligence Methodologies Applied to Sustainable Development Goals
Rafael Bello, María M. García, Yaile Caballero, Alejandro Rosete, Yanela Rodríguez
2017 — conf
A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges.
MICAI (1)
Raciel Yera, Yaile Caballero
2016 J jnl
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm.
Eng. Appl. Artif. Intell.
Enislay Ramentol, I. Gondres, S. Lajes, Rafael Bello, Yaile Caballero, Chris Cornelis, Francisco Herrera
2015 J jnl
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification.
IEEE Trans. Fuzzy Syst.
Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera
2012 J jnl
SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory.
Knowl. Inf. Syst.
Enislay Ramentol, Yaile Caballero, Rafael Bello, Francisco Herrera
2010 C conf
A method to build similarity relations into extended Rough Set Theory.
ISDA
Yaima Filiberto, Yaile Caballero, Rafael Larrua, Rafael Bello
2010 — ch.
Knowledge Discovery Using Rough Set Theory.
Advances in Machine Learning I
Yaile Caballero, Rafael Bello, Leticia Arco, María M. García, Enislay Ramentol
2010 — conf
Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures.
NICSO
Yaima Filiberto, Rafael Bello, Yaile Caballero, Rafael Larrua
2007 C conf
Feature Selection Algorithms Using Rough Set Theory.
ISDA
Yaile Caballero, Delia Alvarez, Rafael Bello, María M. García
2007 J jnl
La Teoría de los Conjuntos Aproximados y las técnicas de Boostrap para la Edición de Conjuntos de Entrenamiento. Su aplicación en el pronóstico metereológico.
Rev. Avances en Sistemas Informática
Beitmantt Cárdenas, Yaile Caballero, Rafael Bello
2007 — conf
New Measures for Evaluating Decision Systems Using Rough Set Theory: The Application in Seasonal Weather Forecasting.
ITEE
Yaile Caballero, Leticia Arco, Rafael Bello, Jorge Marx Gómez
2007 C conf
Rough Set Theory Measures to Knowledge Generation.
ISDA
Yaile Caballero, Rafael Bello, Leticia Arco, María M. García
2006 Misc conf
A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality.
SYNASC
Yaile Caballero, Rafael Bello, Alberto Taboada-Crispí, Ann Nowé, María M. García, Gladys Casas
2006 — conf
Improving the k-NN method: Rough Set in edit training set.
IFIP PPAI
Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García, Yaimara Pizano
2006 — conf
Two new feature selection algorithms with Rough Sets Theory.
IFIP AI
Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García
2005 A conf
A model based on ant colony system and rough set theory to feature selection.
GECCO
Rafael Bello, Ann Nowé, Yaile Caballero, Yudel Gómez, Peter Vrancx
2005 C conf
Using rough sets to edit training set in k-NN method.
ISDA
Yaile Caballero, Simone Joseph, Yuniesky Lezcano, Rafael Bello, María M. García, Yaimara Pizano
2003 C conf
Two New Metrics for Feature Selection in Pattern Recognition.
CIARP
Pedro Y. Piñero, Leticia Arco, María M. García, Yaile Caballero, Raykenler Yzquierdo, Alfredo Morales