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Yailé Caballero Mota
- > Home > Persons > Yailé Caballero Mota
Publications
- 2022
- [j14]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:
Fuzzy prototype selection-based classifiers for imbalanced data. Case study. Pattern Recognit. Lett. 163: 183-190 (2022) - [p2]Rafael Bello, María M. García, Yaile Caballero, Alejandro Rosete, Yanela Rodríguez:
Applications of Computational Intelligence in the Studies of Covid-19. Computational Intelligence Methodologies Applied to Sustainable Development Goals 2022: 63-80 - 2013
- [j5]Yenny Villuendas-Rey, Carmen F. Rey-Benguría, Yailé Caballero Mota, María Matilde García Lorenzo:
Improving the family orientation process in Cuban Special Schools trough Nearest Prototype classification. Int. J. Interact. Multim. Artif. Intell. 2(1): 12-22 (2013) - 2012
- [c16]Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo:
Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification. CIARP 2012: 300-307 - [c15]Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo:
Prototype Selection with Compact Sets and Extended Rough Sets. IBERAMIA 2012: 159-168 - [c14]Yenny Villuendas-Rey, Carmen F. Rey-Benguría, Yailé Caballero Mota, María Matilde García Lorenzo:
Nearest Prototype Classification of Special School Families Based on Hierarchical Compact Sets Clustering. IBERAMIA 2012: 662-671 - [c13]Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo:
Intelligent Feature and Instance Selection to Improve Nearest Neighbor Classifiers. MICAI (1) 2012: 27-38 - 2010
- [p1]Yaile Caballero, Rafael Bello, Leticia Arco, María M. García, Enislay Ramentol:
Knowledge Discovery Using Rough Set Theory. Advances in Machine Learning I 2010: 367-383 - 2007
- [c9]Yaile Caballero, Rafael Bello, Leticia Arco, María M. García:
Rough Set Theory Measures to Knowledge Generation. ISDA 2007: 401-406 - [c8]Yaile Caballero, Delia Alvarez, Rafael Bello, María M. García:
Feature Selection Algorithms Using Rough Set Theory. ISDA 2007: 407-411 - 2006
- [c6]Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García, Yaimara Pizano:
Improving the k-NN method: Rough Set in edit training set. IFIP PPAI 2006: 21-30 - [c5]Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García:
Two new feature selection algorithms with Rough Sets Theory. IFIP AI 2006: 209-216 - [c4]Yaile Caballero, Rafael Bello, Alberto Taboada-Crispí, Ann Nowé, María M. García, Gladys Casas:
A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality. SYNASC 2006: 133-140 - 2005
- [c2]Yaile Caballero, Simone Joseph, Yuniesky Lezcano, Rafael Bello, María M. García, Yaimara Pizano:
Using rough sets to edit training set in k-NN method. ISDA 2005: 456-463 - 2003
- [c1]Pedro Y. Piñero, Leticia Arco, María M. García, Yaile Caballero, Raykenler Yzquierdo, Alfredo Morales:
Two New Metrics for Feature Selection in Pattern Recognition. CIARP 2003: 488-497
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