Yenny Villuendas-Rey

Orcid: 0000-0001-9889-3924

According to our database1, Yenny Villuendas-Rey authored at least 52 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Bioinspired Hybrid and Incomplete Data Clustering.
Int. J. Comb. Optim. Probl. Informatics, 2024

Respiratory Disease Pre-diagnosis through a Novel Pattern Classification Algorithm based on Associative Memories.
Computación y Sistemas (CyS), 2024

Ant-Based Feature and Instance Selection for Multiclass Imbalanced Data.
IEEE Access, 2024

RESTful API for Intent Recognition Based on RASA.
Proceedings of the Advances in Soft Computing, 2024

2023

Random forest Algorithm for the Classification of Spectral Data of Astronomical Objects.
Algorithms, June, 2023

Evolutionary feature selection for imbalanced data.
Proceedings of the Mexican International Conference on Computer Science, 2023

2022
Hybrid data selection with preservation rough sets.
Soft Comput., 2022

2021
RoPM: An Algorithm for Computing Typical Testors Based on Recursive Reductions of the Basic Matrix.
IEEE Access, 2021

2020
Generic extended multigranular sets for mixed and incomplete information systems.
Soft Comput., 2020

Undersampling Instance Selection for Hybrid and Incomplete Imbalanced Data.
J. Univers. Comput. Sci., 2020

Transformed <i>k</i>-nearest neighborhood output distance minimization for predicting the defect density of software projects.
J. Syst. Softw., 2020

Granulation in Rough Set Theory: A novel perspective.
Int. J. Approx. Reason., 2020

The Naïve Associative Classifier With Epsilon Disambiguation.
IEEE Access, 2020

2019
Maximal similarity granular rough sets for mixed and incomplete information systems.
Soft Comput., 2019

Prediction of Cancer using Microarrays Analysis by Machine Learning Algorithms.
Res. Comput. Sci., 2019

An Extension of the Gamma Associative Classifier for Dealing With Hybrid Data.
IEEE Access, 2019

NACOD: A Naïve Associative Classifier for Online Data.
IEEE Access, 2019

2018
A New Experimentation Module for the EPIC Software.
Res. Comput. Sci., 2018

Selecting an Optimization Algorithm for the Administration of Human Resources Process in the Production Line of a Textile Enterprise.
Res. Comput. Sci., 2018

Synesthetic Musical Composition using Computational Intelligence.
Res. Comput. Sci., 2018

Credit Assignment: Using Resampling Methods for Dealing with the Class Imbalance Problem.
Res. Comput. Sci., 2018

Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications.
Neural Process. Lett., 2018

Medical Diagnosis of Chronic Diseases Based on a Novel Computational Intelligence Algorithm.
J. Univers. Comput. Sci., 2018

Improving the Performance of an Associative Classifier by Gamma Rough Sets Based Instance Selection.
Int. J. Pattern Recognit. Artif. Intell., 2018

Automatic feature weighting for improving financial Decision Support Systems.
Decis. Support Syst., 2018

Experimental Platform for Intelligent Computing (EPIC).
Computación y Sistemas, 2018

The Potential Use of Bioinspired Algorithms Applied in the Segmentation of Mammograms.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

2017
Experimental Comparison of Bioinspired Segmentation Algorithms Applied to Segmentation of Digital Mammographies.
Res. Comput. Sci., 2017

Computational Intelligence Algorithms Applied to the Pre-diagnosis of Chronic Diseases.
Res. Comput. Sci., 2017

Simultaneous instance and feature selection for improving prediction in special education data.
Program, 2017

Electoral Preferences Prediction of the YouGov Social Network Users Based on Computational Intelligence Algorithms.
J. Univers. Comput. Sci., 2017

The Naïve Associative Classifier (NAC): A novel, simple, transparent, and accurate classification model evaluated on financial data.
Neurocomputing, 2017

Instance-based ontology matching for e-learning material using an associative pattern classifier.
Comput. Hum. Behav., 2017

2016
Telemarketing Success: Evaluation of Supervised Classifiers.
Res. Comput. Sci., 2016

Mammogram Image Segmentation Using Bioinspired Novel Bat Swarm Clustering.
Res. Comput. Sci., 2016

Clustering Techniques for Document Classification.
Res. Comput. Sci., 2016

Instance Selection to Improve Gamma Classifier.
Polibits, 2016

2015
Instance Selection in the Performance of Gamma Associative Classifier.
Res. Comput. Sci., 2015

Assessing the Protective Activity of a Recently Discovered Phenolic Compound against Oxidative Stress Using Computational Chemistry.
J. Chem. Inf. Model., 2015

2014
Selección de atributos y casos para el clasificador NN a través de conjuntos aproximados y algoritmos inspirados en la naturaleza.
Computación y Sistemas, 2014

2013
Improving the family orientation process in Cuban Special Schools trough Nearest Prototype classification.
Int. J. Interact. Multim. Artif. Intell., 2013

Mixed Data Balancing through Compact Sets Based Instance Selection.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Intelligent Feature and Instance Selection to Improve Nearest Neighbor Classifiers.
Proceedings of the Advances in Artificial Intelligence, 2012

Nearest Prototype Classification of Special School Families Based on Hierarchical Compact Sets Clustering.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Prototype Selection with Compact Sets and Extended Rough Sets.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2009
Finding Small Consistent Subset for the Nearest Neighbor Classifier Based on Support Graphs.
Proceedings of the Progress in Pattern Recognition, 2009

Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers.
Proceedings of the Progress in Pattern Recognition, 2009

2008
Selecting Features and Objects for Mixed and Incomplete Data.
Proceedings of the Progress in Pattern Recognition, 2008

2006
Simultaneous Features and Objects Selection for Mixed and Incomplete Data.
Proceedings of the Progress in Pattern Recognition, 2006

Selecting Objects for ALVOT.
Proceedings of the Progress in Pattern Recognition, 2006


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