Cornelio Yáñez-Márquez

发表

Toward the Bleaching of the Black Boxes: Minimalist Machine Learning

Cornelio Yáñez-Márquez, 2020, IT Professional.

Generic extended multigranular sets for mixed and incomplete information systems

Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, José Luis Velázquez-Rodríguez, 2020, Soft Computing.

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

Oscar Camacho Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, 2017, Neurocomputing.

Associative Memories Based on Cellular Automata: An Application to Pattern Recognition

B. Luna-Benoso, R. Flores-Carapia, Cornelio Yáñez-Márquez, 2013 .

Alpha-Beta Bidirectional Associative Memories Based Translator

Cornelio Yáñez-Márquez, María Elena Acevedo-Mosqueda, Itzamá López-Yáñez, 2006 .

Improving the Performance of an Associative Classifier by Gamma Rough Sets Based Instance Selection

Oscar Camacho Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, 2018, Int. J. Pattern Recognit. Artif. Intell..

Prediction of High Capabilities in the Development of Kindergarten Children

Oscar Camacho-Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, 2020, Applied Sciences.

One-Hot Vector Hybrid Associative Classifier for Medical Data Classification

Cornelio Yáñez-Márquez, Abril Valeria Uriarte-Arcia, Itzamá López-Yáñez, 2014, PloS one.

An Extension of the Gamma Associative Classifier for Dealing With Hybrid Data

Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, Itzamá López-Yáñez, 2019, IEEE Access.

A Simple Model for the Entropy of a System With Interacting Particles

Cornelio Yáñez-Márquez, Benjamín López-Carrera, C. Yáñez-Márquez, 2019, IEEE Access.

A new tool for engineering education: hepatitis diagnosis using associative memories

Oscar Camacho Nieto, Amadeo José Argüelles-Cruz, Cornelio Yáñez-Márquez, 2012 .

Computing geometric moments using morphological erosions

Juan Humberto Sossa Azuela, S. JuanLuisDíaz-de-León, Cornelio Yáñez-Márquez, 2001, Pattern Recognit..

Feature Selection using Associative Memory Paradigm and Parallel Computing

Oscar Camacho-Nieto, Cornelio Yáñez-Márquez, Mario Aldape-Pérez, 2013 .

Generación de combinaciones de valores de pruebas utilizando metaheurísticas

Cornelio Yáñez-Márquez, Martha Dunia Delgado-Dapena, Alejandro Rosete-Suárez, 2016 .

The Naïve Associative Classifier With Epsilon Disambiguation

Oscar Camacho-Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, 2020, IEEE Access.

Mobile System Surveillance for Vehicular Pollutants Emission, Based on Wi-Fi Ad-Hoc Network

Amadeo José Argüelles-Cruz, Cornelio Yáñez-Márquez, Mario Matamoros de Luis, 2013, UCAmI.

An associative memory approach to medical decision support systems

Oscar Camacho Nieto, Amadeo José Argüelles-Cruz, Cornelio Yáñez-Márquez, 2012, Comput. Methods Programs Biomed..

Prediction of Cancer using Microarrays Analysis by Machine Learning Algorithms

Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, José Luis Velázquez-Rodríguez, 2019, Res. Comput. Sci..

A Transfer Learning Method for Pneumonia Classification and Visualization

Oscar Camacho-Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, 2020, Applied Sciences.

NACOD: A Naïve Associative Classifier for Online Data

Oscar Camacho-Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, 2019, IEEE Access.

A Novel and Simple Mathematical Transform Improves the Perfomance of Lernmatrix in Pattern Classification

Oscar Camacho-Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, 2020, Mathematics.

Morphological Transform for Image Compression

Enrique Guzmán, Oleksiy B. Pogrebnyak, Luis Pastor Sánchez Fernández, 2008, EURASIP J. Adv. Signal Process..

AISAC: An Artificial Immune System for Associative Classification Applied to Breast Cancer Detection

Amadeo José Argüelles-Cruz, Oscar Camacho-Nieto, Cornelio Yáñez-Márquez, 2020 .

Associative Models for Storing and Retrieving Concept Lattices

Cornelio Yáñez-Márquez, Marco Antonio Acevedo, María Elena Acevedo, 2010 .

Impact of Imbalanced Datasets Preprocessing in the Performance of Associative Classifiers

Oscar Camacho-Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, 2020, Applied Sciences.

Granulation in Rough Set Theory: A novel perspective

Oscar Camacho Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, 2020, Int. J. Approx. Reason..

Alpha–Beta bidirectional associative memories: theory and applications

Cornelio Yáñez-Márquez, María Elena Acevedo-Mosqueda, Itzamá López-Yáñez, 2007, Neural Processing Letters.

A non-invasive glucose level estimation in a multi-sensing health care monitoring system.

Cornelio Yáñez-Márquez, Antonio Alarcón-Paredes, Zaic Rebolledo-Nandi, 2018, Technology and health care : official journal of the European Society for Engineering and Medicine.