Two New Metrics for Feature Selection in Pattern Recognition. - Pedro Y. Piñero; Leticia Arco; María M. García; Yaile Caballero; Raykenler Yzquierdo; Alfredo Morales (CIARP, 2003)

A model based on ant colony system and rough set theory to feature selection. - Rafael Bello 001; Ann Nowé; Yaile Caballero; Yudel Gómez; Peter Vrancx (GECCO, 2005)

Using rough sets to edit training set in k-NN method. - Yaile Caballero; Simone Joseph; Yuniesky Lezcano; Rafael Bello 001; María M. García; Yaimara Pizano (ISDA, 2005)

Two new feature selection algorithms with Rough Sets Theory. - Yaile Caballero; Rafael Bello 001; Delia Alvarez; María M. García (IFIP AI, 2006)

Improving the k-NN method: Rough Set in edit training set. - Yaile Caballero; Rafael Bello 001; Delia Alvarez; María M. García; Yaimara Pizano (IFIP PPAI, 2006)

A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality. - Yaile Caballero; Rafael Bello 001; Alberto Taboada-Crispí; Ann Nowé; María M. García; Gladys Casas (SYNASC, 2006)

Feature Selection Algorithms Using Rough Set Theory. - Yaile Caballero; Delia Alvarez; Rafael Bello 001; María M. García (ISDA, 2007)

Rough Set Theory Measures to Knowledge Generation. - Yaile Caballero; Rafael Bello 001; Leticia Arco; María M. García (ISDA, 2007)

New Measures for Evaluating Decision Systems Using Rough Set Theory: The Application in Seasonal Weather Forecasting. - Yaile Caballero; Leticia Arco; Rafael Bello 001; Jorge Marx Gómez (ITEE, 2007)

La Teoría de los Conjuntos Aproximados y las técnicas de Boostrap para la Edición de Conjuntos de Entrenamiento. Su aplicación en el pronóstico metereológico. - Beitmantt Cárdenas; Yaile Caballero; Rafael Bello 001 (Rev. Avances en Sistemas Informática, 2007)

A method to build similarity relations into extended Rough Set Theory. - Yaima Filiberto; Yaile Caballero; Rafael Larrua; Rafael Bello 001 (ISDA, 2010)

Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures. - Yaima Filiberto; Rafael Bello 001; Yaile Caballero; Rafael Larrua (NICSO, 2010)

Clasificadores y multiclasificadores con cambio de concepto basados en árboles de decisión. - Isvani Inocencio Frías Blanco; Agustín Alejandro Ortiz Díaz; Gonzalo Ramos-Jiménez; Rafael Morales Bueno; Yailé Caballero Mota (Inteligencia Artif., 2010)

Knowledge Discovery Using Rough Set Theory. - Yaile Caballero; Rafael Bello 001; Leticia Arco; María M. García; Enislay Ramentol (Advances in Machine Learning I, 2010)

Improving the MLP Learning by Using a Method to Calculate the Initial Weights of the Network Based on the Quality of Similarity Measure. - Yaima Filiberto Cabrera; Rafael Bello Pérez; Yailé Caballero Mota; Gonzalo Ramos-Jiménez (MICAI (2), 2011)

Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification. - Yenny Villuendas-Rey; Yailé Caballero Mota; María Matilde García Lorenzo (CIARP, 2012)

Prototype Selection with Compact Sets and Extended Rough Sets. - Yenny Villuendas-Rey; Yailé Caballero Mota; María Matilde García Lorenzo (IBERAMIA, 2012)

Nearest Prototype Classification of Special School Families Based on Hierarchical Compact Sets Clustering. - Yenny Villuendas-Rey; Carmen F. Rey-Benguría; Yailé Caballero Mota; María Matilde García Lorenzo (IBERAMIA, 2012)

Intelligent Feature and Instance Selection to Improve Nearest Neighbor Classifiers. - Yenny Villuendas-Rey; Yailé Caballero Mota; María Matilde García Lorenzo (MICAI (1), 2012)

SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory. - Enislay Ramentol; Yaile Caballero; Rafael Bello 001; Francisco Herrera (Knowl. Inf. Syst., 2012)

Managing natural noise in collaborative recommender systems. - Raciel Yera Toledo; Luis Martínez-López 001; Yailé Caballero Mota (IFSA/NAFIPS, 2013)

Improving the family orientation process in Cuban Special Schools trough Nearest Prototype classification. - Yenny Villuendas-Rey; Carmen F. Rey-Benguría; Yailé Caballero Mota; María Matilde García Lorenzo (Int. J. Interact. Multim. Artif. Intell., 2013)

A Regularity-Based Preprocessing Method for Collaborative Recommender Systems. - Raciel Yera Toledo; Yailé Caballero Mota; Milton García-Borroto (J. Inf. Process. Syst., 2013)

Aprendiendo con detección de cambio online. - Isvani Inocencio Frías Blanco; José del Campo-Ávila; Gonzalo Ramos-Jiménez; Rafael Morales Bueno; Agustín Alejandro Ortiz Díaz; Yailé Caballero Mota (Computación y Sistemas, 2014)

An e-Learning Collaborative Filtering Approach to Suggest Problems to Solve in Programming Online Judges. - Raciel Yera Toledo; Yailé Caballero Mota (Int. J. Distance Educ. Technol., 2014)

An Approach for Prototype Generation based on Similarity Relations for Problems of Classification. - Yumilka B. Fernandez Hernandez; Rafael Bello 001; Yaima Filiberto; Mabel Frias Dominguez; Lenniet Coello Blanco; Yailé Caballero Mota (Computación y Sistemas, 2015)

Correcting noisy ratings in collaborative recommender systems. - Raciel Yera Toledo; Yailé Caballero Mota; Luis Martínez-López 001 (Knowl. Based Syst., 2015)

IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. - Enislay Ramentol; Sarah Vluymans; Nele Verbiest; Yaile Caballero; Rafael Bello 001; Chris Cornelis; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2015)

Online and Non-Parametric Drift Detection Methods Based on Hoeffding's Bounds. - Isvani Inocencio Frías Blanco; José del Campo-Ávila; Gonzalo Ramos-Jiménez; Rafael Morales Bueno; Agustín Alejandro Ortiz Díaz; Yailé Caballero Mota (IEEE Trans. Knowl. Data Eng., 2015)

Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. - Enislay Ramentol; I. Gondres; S. Lajes; Rafael Bello 001; Yaile Caballero; Chris Cornelis; Francisco Herrera (Eng. Appl. Artif. Intell., 2016)

An Approach to Solve Classification Problems on Domains with Hubness Using Rough Sets and Nearest Prototype. - Yanela Rodríguez Alvarez; Yailé Caballero Mota; Rafael Bello Pérez; Yaima Filiberto Cabrera; Yumilka B. Fernandez Hernandez; Mabel Frias Dominguez (MICAI (Special Session), 2017)

A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges. - Raciel Yera; Yaile Caballero (MICAI (1), 2017)

Fuzzy Design of Nearest Prototype Classifier. - Yanela Rodríguez Alvarez; Rafael Bello Pérez; Yailé Caballero Mota; Yaima Filiberto Cabrera; Yumilka B. Fernandez Hernandez; Mabel Frias Dominguez (MICAI (1), 2018)

A Recommender System for Programming Online Judges Using Fuzzy Information Modeling. - Raciel Yera Toledo; Yailé Caballero Mota; Luis Martínez-López 001 (Informatics, 2018)

Using Numerical Modelling and Artificial Intelligence for Predicting the Degradation of the Resistance to Vertical Shear in Steel - Concrete Composite Beams Under Fire. - Rafael Larrua Quevedo; Yisel Larrua Pardo; Valdir Pignatta Silva; Yaima Filiberto Cabrera; Yailé Caballero Mota (WEA, 2020)

Fuzzy prototype selection-based classifiers for imbalanced data. Case study. - Yanela Rodríguez Alvarez; María Matilde García Lorenzo; Yailé Caballero Mota; Yaima Filiberto Cabrera; Isabel M. García Hilarión; Daniela Machado Montes de Oca; Rafael Bello Pérez (Pattern Recognit. Lett., 2022)

Applications of Computational Intelligence in the Studies of Covid-19. - Rafael Bello 001; María M. García; Yaile Caballero; Alejandro Rosete; Yanela Rodríguez (Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022)

Exploring content-based group recommendation for suggesting restaurants in Havana City. - Yilena Pérez-Almaguer; Edianny Carballo-Cruz; Yailé Caballero Mota; Raciel Yera (J. Univers. Comput. Sci., 2024)