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Yailé Caballero Mota

◀ ▶ joint publications with María Matilde García Lorenzo

> Home > Persons > Yailé Caballero Mota

Publications

2022
[j14]
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  - journals/prl/AlvarezLMCHOP22
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  - https://dblp.org/rec/journals/prl/AlvarezLMCHOP22
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]
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  - series/sci/0001GCRR22
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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]
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  - journals/ijimai/Villuendas-ReyRML13
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  - https://dblp.org/rec/journals/ijimai/Villuendas-ReyRML13
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]
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  - conf/ciarp/Villuendas-ReyML12
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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]
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  - conf/iberamia/Villuendas-ReyML12
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Yenny Villuendas-Rey, Yailé Caballero Mota, María Matilde García Lorenzo:
Prototype Selection with Compact Sets and Extended Rough Sets. IBERAMIA 2012: 159-168
[c14]
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  - conf/iberamia/Villuendas-ReyRML12
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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]
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  - conf/micai/Villuendas-ReyML12
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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]
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  - series/sci/CaballeroBAGR10
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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]
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  - conf/isda/CaballeroBAG07
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Yaile Caballero, Rafael Bello, Leticia Arco, María M. García:
Rough Set Theory Measures to Knowledge Generation. ISDA 2007: 401-406
[c8]
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  - conf/isda/CaballeroABG07
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Yaile Caballero, Delia Alvarez, Rafael Bello, María M. García:
Feature Selection Algorithms Using Rough Set Theory. ISDA 2007: 407-411
2006
[c6]
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  - conf/ifip12/CaballeroBAGP06
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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]
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  - conf/ifip12/CaballeroBAG06
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Yaile Caballero, Rafael Bello, Delia Alvarez, María M. García:
Two new feature selection algorithms with Rough Sets Theory. IFIP AI 2006: 209-216
[c4]
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  - conf/synasc/CaballeroBTNGC06
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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]
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  - conf/isda/CaballeroJLBGP05
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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]
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  - conf/ciarp/PineroAGCYM03
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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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