Yailé Caballero Mota

According to our database, Yailé Caballero Mota authored at least 38 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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., January, 2024

2022

Applications of Computational Intelligence in the Studies of Covid-19.

Rafael Bello, María M. García, Yaile Caballero, Alejandro Rosete, Yanela Rodríguez

Proceedings of the Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022

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

2020

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

Proceedings of the Applied Computer Sciences in Engineering, 2020

2018

A Recommender System for Programming Online Judges Using Fuzzy Information Modeling.

Raciel Yera Toledo, Yailé Caballero Mota, Luis Martínez-López

Informatics, 2018

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

Proceedings of the Advances in Soft Computing, 2018

2017

A Fuzzy Approach for Recommending Problems to Solve in Programming Online Judges.

Raciel Yera, Yaile Caballero

Proceedings of the Advances in Soft Computing, 2017

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

Proceedings of the Sixteenth Mexican International Conference on Artificial Intelligence, 2017

2016

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, Yaile Caballero, Chris Cornelis, Francisco Herrera

Eng. Appl. Artif. Intell., 2016

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

IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification.

Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera

IEEE Trans. Fuzzy Syst., 2015

Correcting noisy ratings in collaborative recommender systems.

Raciel Yera Toledo, Yailé Caballero Mota, Luis Martínez-López

Knowl. Based Syst., 2015

An Approach for Prototype Generation based on Similarity Relations for Problems of Classification.

Yumilka B. Fernandez Hernandez, Rafael Bello, Yaima Filiberto, Mabel Frias Dominguez, Lenniet Coello Blanco, Yailé Caballero Mota

Computación y Sistemas, 2015

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

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

2013

A Regularity-Based Preprocessing Method for Collaborative Recommender Systems.

Raciel Yera Toledo, Yailé Caballero Mota, Milton García-Borroto

J. Inf. Process. Syst., 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

Managing natural noise in collaborative recommender systems.

Raciel Yera Toledo, Luis Martínez-López, Yailé Caballero Mota

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

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, Francisco Herrera

Knowl. Inf. Syst., 2012

Intelligent Feature and Instance Selection to Improve Nearest Neighbor Classifiers.

Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo

Proceedings of the Advances in Artificial Intelligence, 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

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Prototype Selection with Compact Sets and Extended Rough Sets.

Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification.

Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011

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

Proceedings of the Advances in Soft Computing, 2011

2010

Knowledge Discovery Using Rough Set Theory.

Yaile Caballero, Rafael Bello, Leticia Arco, María M. García, Enislay Ramentol

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 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

Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures.

Yaima Filiberto, Rafael Bello, Yaile Caballero, Rafael Larrua

Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010

A method to build similarity relations into extended Rough Set Theory.

Yaima Filiberto, Yaile Caballero, Rafael Larrua, Rafael Bello

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

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

Rev. Avances en Sistemas Informática, 2007

New Measures for Evaluating Decision Systems Using Rough Set Theory: The Application in Seasonal Weather Forecasting.

Yaile Caballero, Leticia Arco, Rafael Bello, Jorge Marx Gómez

Proceedings of the Information Technologies in Environmental Engineering, 2007

Rough Set Theory Measures to Knowledge Generation.

Yaile Caballero, Rafael Bello, Leticia Arco, María M. García

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Feature Selection Algorithms Using Rough Set Theory.

Yaile Caballero, Delia Alvarez, Rafael Bello, María M. García

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

2006

A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality.

Yaile Caballero, Rafael Bello, Alberto Taboada-Crispí, Ann Nowé, María M. García, Gladys Casas

Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006

Improving the k-NN method: Rough Set in edit training set.

Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García, Yaimara Pizano

Proceedings of the Toward Category-Level Object Recognition, 2006

Two new feature selection algorithms with Rough Sets Theory.

Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García

Proceedings of the Artificial Intelligence in Theory and Practice, 2006

2005

Using rough sets to edit training set in k-NN method.

Yaile Caballero, Simone Joseph, Yuniesky Lezcano, Rafael Bello, María M. García, Yaimara Pizano

Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

A model based on ant colony system and rough set theory to feature selection.

Rafael Bello, Ann Nowé, Yaile Caballero, Yudel Gómez, Peter Vrancx

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2003

Two New Metrics for Feature Selection in Pattern Recognition.

Pedro Y. Piñero, Leticia Arco, María M. García, Yaile Caballero, Raykenler Yzquierdo, Alfredo Morales

Proceedings of the Progress in Pattern Recognition, 2003