Selecting Objects for ALVOT. - Miguel Angel Medina-Pérez; Milton García-Borroto; Yenny Villuendas-Rey; José Ruiz-Shulcloper (CIARP, 2006)

Simultaneous Features and Objects Selection for Mixed and Incomplete Data. - Yenny Villuendas-Rey; Milton García-Borroto; Miguel Angel Medina-Pérez; José Ruiz-Shulcloper (CIARP, 2006)

Selecting Features and Objects for Mixed and Incomplete Data. - Yenny Villuendas-Rey; Milton García-Borroto; José Ruiz-Shulcloper (CIARP, 2008)

Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers. - Milton García-Borroto; Yenny Villuendas-Rey; Jesús Ariel Carrasco-Ochoa; José Francisco Martínez Trinidad (CIARP, 2009)

Finding Small Consistent Subset for the Nearest Neighbor Classifier Based on Support Graphs. - Milton García-Borroto; Yenny Villuendas-Rey; Jesús Ariel Carrasco-Ochoa; José Francisco Martínez Trinidad (CIARP, 2009)

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)

Mixed Data Balancing through Compact Sets Based Instance Selection. - Yenny Villuendas-Rey; María Matilde García Lorenzo (CIARP (1), 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)

Selección de atributos y casos para el clasificador NN a través de conjuntos aproximados y algoritmos inspirados en la naturaleza. - Yenny Villuendas-Rey; María Matilde García Lorenzo (Computación y Sistemas, 2014)

Assessing the Protective Activity of a Recently Discovered Phenolic Compound against Oxidative Stress Using Computational Chemistry. - Yenny Villuendas-Rey; Juan Raúl Alvarez-Idaboy; Annia Galano (J. Chem. Inf. Model., 2015)

Instance Selection in the Performance of Gamma Associative Classifier. - Jarvin A. Antón Vargas; Yenny Villuendas-Rey; Itzamá López-Yáñez; Abril V. Uriarte-García (Res. Comput. Sci., 2015)

Instance Selection to Improve Gamma Classifier. - Jarvin A. Antón Vargas; Yenny Villuendas-Rey; Itzamá López-Yáñez (Polibits, 2016)

Clustering Techniques for Document Classification. - Julio Fernández; Jarvin A. Antón Vargas; Yenny Villuendas-Rey; José F. Cabrera-Venegas; Yusbel Chávez; Amadeo José Argüelles-Cruz (Res. Comput. Sci., 2016)

Mammogram Image Segmentation Using Bioinspired Novel Bat Swarm Clustering. - David González-Patiño; Yenny Villuendas-Rey; Amadeo José Argüelles-Cruz (Res. Comput. Sci., 2016)

Telemarketing Success: Evaluation of Supervised Classifiers. - Yosimar O. Serrano-Silva; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez (Res. Comput. Sci., 2016)

Instance-based ontology matching for e-learning material using an associative pattern classifier. - Sergio Cerón-Figueroa; Itzamá López-Yáñez; Wadee Alhalabi; Oscar Camacho Nieto; Yenny Villuendas-Rey; Mario Aldape-Pérez; Cornelio Yáñez-Márquez (Comput. Hum. Behav., 2017)

The Naïve Associative Classifier (NAC): A novel, simple, transparent, and accurate classification model evaluated on financial data. - Yenny Villuendas-Rey; Carmen F. Rey-Benguría; Ángel Ferreira-Santiago; Oscar Camacho Nieto; Cornelio Yáñez-Márquez (Neurocomputing, 2017)

Electoral Preferences Prediction of the YouGov Social Network Users Based on Computational Intelligence Algorithms. - Sonia Ortiz-Ángeles; Yenny Villuendas-Rey; Itzamá López-Yáñez; Oscar Camacho Nieto; Cornelio Yáñez-Márquez (J. Univers. Comput. Sci., 2017)

Simultaneous instance and feature selection for improving prediction in special education data. - Yenny Villuendas-Rey; Carmen F. Rey-Benguría; Miltiadis D. Lytras; Cornelio Yáñez-Márquez; Oscar Camacho Nieto (Program, 2017)

Computational Intelligence Algorithms Applied to the Pre-diagnosis of Chronic Diseases. - Mariana Dayanara Alanis-Tamez; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez (Res. Comput. Sci., 2017)

Experimental Comparison of Bioinspired Segmentation Algorithms Applied to Segmentation of Digital Mammographies. - David González-Patiño; Yenny Villuendas-Rey; Amadeo José Argüelles-Cruz (Res. Comput. Sci., 2017)

The Potential Use of Bioinspired Algorithms Applied in the Segmentation of Mammograms. - David González-Patiño; Yenny Villuendas-Rey; Amadeo José Argüelles-Cruz (KDIR, 2018)

Experimental Platform for Intelligent Computing (EPIC). - Javier A. Hernández-Castaño; Oscar Camacho Nieto; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez (Computación y Sistemas, 2018)

Automatic feature weighting for improving financial Decision Support Systems. - Yosimar O. Serrano-Silva; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez (Decis. Support Syst., 2018)

Improving the Performance of an Associative Classifier by Gamma Rough Sets Based Instance Selection. - Jarvin A. Antón Vargas; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Oscar Camacho Nieto (Int. J. Pattern Recognit. Artif. Intell., 2018)

Medical Diagnosis of Chronic Diseases Based on a Novel Computational Intelligence Algorithm. - Yenny Villuendas-Rey; Mariana Dayanara Alanis-Tamez; Carmen F. Rey-Benguría; Cornelio Yáñez-Márquez; Oscar Camacho Nieto (J. Univers. Comput. Sci., 2018)

Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications. - Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Mario Aldape-Pérez; Oscar Camacho Nieto; Amadeo José Argüelles-Cruz; Yenny Villuendas-Rey (Neural Process. Lett., 2018)

Credit Assignment: Using Resampling Methods for Dealing with the Class Imbalance Problem. - Víctor D. de la Cruz-Galarza; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez (Res. Comput. Sci., 2018)

Synesthetic Musical Composition using Computational Intelligence. - Alan Garcia-Zambrano; Yenny Villuendas-Rey; Oscar Camacho Nieto (Res. Comput. Sci., 2018)

Selecting an Optimization Algorithm for the Administration of Human Resources Process in the Production Line of a Textile Enterprise. - Alejandro-Ernesto González-Alegrant; Yenny Villuendas-Rey; Jarvin-Alberto Antón-Vargas; Cornelio Yáñez-Márquez (Res. Comput. Sci., 2018)

A New Experimentation Module for the EPIC Software. - Javier A. Hernández-Castaño; Yenny Villuendas-Rey; Oscar Camacho Nieto; Carmen F. Rey-Benguría (Res. Comput. Sci., 2018)

NACOD: A Naïve Associative Classifier for Online Data. - Yenny Villuendas-Rey; Javier A. Hernández-Castaño; Oscar Camacho Nieto; Cornelio Yáñez-Márquez; Itzamá López-Yáñez (IEEE Access, 2019)

An Extension of the Gamma Associative Classifier for Dealing With Hybrid Data. - Yenny Villuendas-Rey; Cornelio Yáñez-Márquez; Jarvin A. Antón Vargas; Itzamá López-Yáñez (IEEE Access, 2019)

Prediction of Cancer using Microarrays Analysis by Machine Learning Algorithms. - José Luis Velázquez-Rodríguez; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez (Res. Comput. Sci., 2019)

Maximal similarity granular rough sets for mixed and incomplete information systems. - Yenny Villuendas-Rey (Soft Comput., 2019)

The Naïve Associative Classifier With Epsilon Disambiguation. - Adolfo Rangel-Dìaz De La Vega; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez; Oscar Camacho Nieto (IEEE Access, 2020)

Granulation in Rough Set Theory: A novel perspective. - José Luis Velázquez-Rodríguez; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Oscar Camacho Nieto (Int. J. Approx. Reason., 2020)

Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects. - Cuauhtémoc López Martín; Yenny Villuendas-Rey; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (J. Syst. Softw., 2020)

Undersampling Instance Selection for Hybrid and Incomplete Imbalanced Data. - Oscar Camacho Nieto; Cornelio Yáñez-Márquez; Yenny Villuendas-Rey (J. Univers. Comput. Sci., 2020)

Generic extended multigranular sets for mixed and incomplete information systems. - Yenny Villuendas-Rey; Cornelio Yáñez-Márquez; José Luis Velázquez-Rodríguez (Soft Comput., 2020)

RoPM: An Algorithm for Computing Typical Testors Based on Recursive Reductions of the Basic Matrix. - Joel Pino Gómez; Fidel Ernesto Hernández Montero; Joel Charles Sotelo; Julio César Gomez-Mancilla; Yenny Villuendas-Rey (IEEE Access, 2021)

Hybrid data selection with preservation rough sets. - Yenny Villuendas-Rey (Soft Comput., 2022)

Evolutionary feature selection for imbalanced data. - Claudia C. Tusell Rey; Viridiana Salinas García; Yenny Villuendas-Rey (ENC, 2023)

Complexity Measurement for Multitask Classification Problems in Machine Learning. - Yenny Villuendas-Rey; R. Andrew Taylor (ISCMI, 2023)

Random forest Algorithm for the Classification of Spectral Data of Astronomical Objects. - José-Luis Solorio-Ramírez; Raúl Jiménez-Cruz; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez (Algorithms, 2023)

Non Verbal Tourists. - Claudia C. Tussell-Rey; Ricardo Tejeida-Padilla; Oscar Camacho-Nieto; Yenny Villuendas-Rey; Cornelio Yáñez-Márquez (UCI Machine Learning Repository, 2023)

Evaluative Customized Naïve Associative Classifier: Promoting Equity in AI for the Selection and Promotion of Human Resources. - Claudia C. Tusell Rey; Joel Pino Gómez; Yenny Villuendas-Rey (IDEAL (2), 2024)

RESTful API for Intent Recognition Based on RASA. - Vicente Samuel Garófalo-Jerez; Wenny Hojas-Mazo; Mailyn Moreno-Espino; Yenny Villuendas-Rey; Ariel López González; Francisco Maciá Pérez; José Vicente Berná-Martínez (MICAI (2), 2024)

Ant-Based Feature and Instance Selection for Multiclass Imbalanced Data. - Yenny Villuendas-Rey; Cornelio Yáñez-Márquez; Oscar Camacho-Nieto (IEEE Access, 2024)

KraKen: Dietary Behavior and Preferences-based Food Recommender System. - Martha Tinoco-Lara; Yenny Villuendas-Rey; Juan Ignacio Vilchis García; Amadeo Argüelles (Computación y Sistemas (CyS), 2024)

Respiratory Disease Pre-diagnosis through a Novel Pattern Classification Algorithm based on Associative Memories. - Osvaldo David Velazquez-Gonzalez; Yenny Villuendas-Rey (Computación y Sistemas (CyS), 2024)

Bioinspired Hybrid and Incomplete Data Clustering. - Yenny Villuendas-Rey; Claudia C. Tusell Rey; Oscar Camacho-Nieto; Viridiana Salinas García (Int. J. Comb. Optim. Probl. Informatics, 2024)

Mejoramiento del agrupamiento de datos mezclados e incompletos mediante algoritmos bioinspirados. - Claudia C. Tusell Rey; Yenny Villuendas-Rey; Oscar Camacho-Nieto; Viridiana Salinas García (Res. Comput. Sci., 2024)

Improving Leadership in the Digital Era: A Case Study from Rural Mexico. - Jonatan Mireles-Hernández; Carmen F. Rey-Benguría; María L. Macedo-Lavanderos; Yenny Villuendas-Rey; Mario Aldape-Pérez (Syst., 2024)

Instance Selection for Hybrid and Incomplete Data based on Clustering. - Claudia C. Tusell Rey; Yenny Villuendas-Rey; Viridiana Salinas García; Oscar Camacho-Nieto; Cornelio Yáñez-Márquez (Int. J. Comb. Optim. Probl. Informatics, 2025)

Axolotl inspired metaheuristic for software implementation effort prediction. - Cuauhtémoc López Martín; Yenny Villuendas-Rey; Ali Bou Nassif; Noé Oswaldo Rodríguez-Rodríguez (J. Supercomput., 2025)

Multitask classification: assessing data complexity and determining correlations with classifier performance. - Yenny Villuendas-Rey; R. Andrew Taylor (Neural Comput. Appl., 2025)