Cornelio Yáñez-Márquez

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 38

Top Topics

Computational Intelligence

Feature Selection

Top Venues

Res. Comput. Sci.

Comput. Hum. Behav.

J. Univers. Comput. Sci.

Publications

Alvaro Salazar-Urbina, Elías Ventura-Molina, Cornelio Yáñez-Márquez, Mario Aldape-Pérez, Itzamá López-Yáñez
MiniCovid-Unet: CT-Scan Lung Images Segmentation for COVID-19 Identification. Computación y Sistemas (CyS) 28 (1) (2024)
Karen Pamela López-Medina, Abril Valeria Uriarte-Arcia, Cornelio Yáñez-Márquez
Data Stream Classification Based on an Associative Classifier. Computación y Sistemas (CyS) 28 (2) (2024)
Sergio Damián, Brian Herrera, David Vázquez, Hiram Calvo, Edgardo Manuel Felipe Riverón, Cornelio Yáñez-Márquez
DSVS at PAN 2024: Ensemble Approach of Transformer-based Language Models for Analyzing Conspiracy Theories Against Critical Thinking Narratives. CLEF (Working Notes) (2024)
José-Luis Solorio-Ramírez, Raúl Jiménez-Cruz, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez
Random forest Algorithm for the Classification of Spectral Data of Astronomical Objects. Algorithms 16 (6) (2023)
Juan Eduardo Luján-García, Marco A. Cardoso-Moreno, Cornelio Yáñez-Márquez, Hiram Calvo
BEC-1D: Biosignal-Based Emotions Classification with 1D ConvNet. MICAI (2) (2023)
Marco A. Cardoso-Moreno, Cesar Macias, Tania Alcántara, Miguel Soto, Hiram Calvo, Cornelio Yáñez-Márquez
Convolving Emotions: A Compact CNN for EEG-Based Emotion Recognition. SSCI (2023)
Daniel Mejía Ocampo, Julio César Salgado Ramírez, Cornelio Yáñez-Márquez, Guo-Hua Sun
Entanglement measures of a pentapartite W-class state in the noninertial frame. Quantum Inf. Process. 21 (2) (2022)
Sergio Cerón-Figueroa, Cuauhtémoc López Martín, Cornelio Yáñez-Márquez
Stochastic gradient boosting for predicting the maintenance effort of software-intensive systems. IET Softw. 14 (2) (2020)
Oscar Camacho Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey
Undersampling Instance Selection for Hybrid and Incomplete Imbalanced Data. J. Univers. Comput. Sci. 26 (6) (2020)
Cornelio Yáñez-Márquez
Toward the Bleaching of the Black Boxes: Minimalist Machine Learning. IT Prof. 22 (4) (2020)
Adolfo Rangel-Dìaz De La Vega, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, Oscar Camacho Nieto
The Naïve Associative Classifier With Epsilon Disambiguation. IEEE Access 8 (2020)
José Luis Velázquez-Rodríguez, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Oscar Camacho Nieto
Granulation in Rough Set Theory: A novel perspective. Int. J. Approx. Reason. 124 (2020)
Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, José Luis Velázquez-Rodríguez
Generic extended multigranular sets for mixed and incomplete information systems. Soft Comput. 24 (8) (2020)
Andrés García-Floriano, Ángel Ferreira-Santiago, Oscar Camacho Nieto, Cornelio Yáñez-Márquez
A machine learning approach to medical image classification: Detecting age-related macular degeneration in fundus images. Comput. Electr. Eng. 75 (2019)
Benjamín López-Carrera, Cornelio Yáñez-Márquez
A Simple Model for the Entropy of a System With Interacting Particles. IEEE Access 7 (2019)
Yenny Villuendas-Rey, Javier A. Hernández-Castaño, Oscar Camacho Nieto, Cornelio Yáñez-Márquez, Itzamá López-Yáñez
NACOD: A Naïve Associative Classifier for Online Data. IEEE Access 7 (2019)
Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, Jarvin A. Antón Vargas, Itzamá López-Yáñez
An Extension of the Gamma Associative Classifier for Dealing With Hybrid Data. IEEE Access 7 (2019)
José Luis Velázquez-Rodríguez, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez
Prediction of Cancer using Microarrays Analysis by Machine Learning Algorithms. Res. Comput. Sci. 148 (10) (2019)
Elías Ventura-Molina, Antonio Alarcón Paredes, Mario Aldape-Pérez, Cornelio Yáñez-Márquez, Gustavo Adolfo Alonso-Silverio
Gene selection for enhanced classification on microarray data using a weighted k-NN based algorithm. Intell. Data Anal. 23 (1) (2019)
Yosimar O. Serrano-Silva, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez
Automatic feature weighting for improving financial Decision Support Systems. Decis. Support Syst. 107 (2018)
Andrés García-Floriano, Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Alain Abran
Support vector regression for predicting software enhancement effort. Inf. Softw. Technol. 97 (2018)
Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Mario Aldape-Pérez, Oscar Camacho Nieto, Amadeo José Argüelles-Cruz, Yenny Villuendas-Rey
Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications. Neural Process. Lett. 48 (2) (2018)
Víctor D. de la Cruz-Galarza, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez
Credit Assignment: Using Resampling Methods for Dealing with the Class Imbalance Problem. Res. Comput. Sci. 147 (12) (2018)
Yenny Villuendas-Rey, Mariana Dayanara Alanis-Tamez, Carmen F. Rey-Benguría, Cornelio Yáñez-Márquez, Oscar Camacho Nieto
Medical Diagnosis of Chronic Diseases Based on a Novel Computational Intelligence Algorithm. J. Univers. Comput. Sci. 24 (6) (2018)
Rosa Leonor Ulloa-Cazarez, Cuauhtémoc López Martín, Alain Abran, Cornelio Yáñez-Márquez
Prediction of Online Students Performance by Means of Genetic Programming. Appl. Artif. Intell. 32 (9-10) (2018)
Javier A. Hernández-Castaño, Oscar Camacho Nieto, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez
Experimental Platform for Intelligent Computing (EPIC). Computación y Sistemas 22 (1) (2018)
Alejandro-Ernesto González-Alegrant, Yenny Villuendas-Rey, Jarvin-Alberto Antón-Vargas, Cornelio Yáñez-Márquez
Selecting an Optimization Algorithm for the Administration of Human Resources Process in the Production Line of a Textile Enterprise. Res. Comput. Sci. 147 (12) (2018)
Jarvin A. Antón Vargas, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Oscar Camacho Nieto
Improving the Performance of an Associative Classifier by Gamma Rough Sets Based Instance Selection. Int. J. Pattern Recognit. Artif. Intell. 32 (1) (2018)
Mario Aldape-Pérez, Antonio Alarcón Paredes, Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Oscar Camacho Nieto
An Associative Memory Approach to Healthcare Monitoring and Decision Making. Sensors 18 (8) (2018)
Mariana Dayanara Alanis-Tamez, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez
Computational Intelligence Algorithms Applied to the Pre-diagnosis of Chronic Diseases. Res. Comput. Sci. 138 (2017)
Yenny Villuendas-Rey, Carmen F. Rey-Benguría, Miltiadis D. Lytras, Cornelio Yáñez-Márquez, Oscar Camacho Nieto
Simultaneous instance and feature selection for improving prediction in special education data. Program 51 (3) (2017)
Rogelio Ramírez-Rubio, Mario Aldape-Pérez, Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Oscar Camacho Nieto
Pattern classification using smallest normalized difference associative memory. Pattern Recognit. Lett. 93 (2017)
Sonia Ortiz-Ángeles, Yenny Villuendas-Rey, Itzamá López-Yáñez, Oscar Camacho Nieto, Cornelio Yáñez-Márquez
Electoral Preferences Prediction of the YouGov Social Network Users Based on Computational Intelligence Algorithms. J. Univers. Comput. Sci. 23 (3) (2017)
Cuauhtémoc López Martín, Shadi Banitaan, Andrés García-Floriano, Cornelio Yáñez-Márquez
Support Vector Regression for Predicting the Enhancement Duration of Software Projects. ICMLA (2017)
Sergio Cerón-Figueroa, Itzamá López-Yáñez, Wadee Alhalabi, Oscar Camacho Nieto, Yenny Villuendas-Rey, Mario Aldape-Pérez, Cornelio Yáñez-Márquez
Instance-based ontology matching for e-learning material using an associative pattern classifier. Comput. Hum. Behav. 69 (2017)
Yenny Villuendas-Rey, Carmen F. Rey-Benguría, Ángel Ferreira-Santiago, Oscar Camacho Nieto, Cornelio Yáñez-Márquez
The Naïve Associative Classifier (NAC): A novel, simple, transparent, and accurate classification model evaluated on financial data. Neurocomputing 265 (2017)
Yosimar O. Serrano-Silva, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez
Telemarketing Success: Evaluation of Supervised Classifiers. Res. Comput. Sci. 118 (2016)
Ángel Ferreira-Santiago, Cuauhtémoc López Martín, Cornelio Yáñez-Márquez
Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects. Neural Comput. Appl. 27 (8) (2016)
J. R. Caro Vásquez, Isaac Chairez Oria, Cornelio Yáñez-Márquez
Metodología de clasificación de señales electromiográficas. Res. Comput. Sci. 105 (2015)
Mario Aldape-Pérez, Cornelio Yáñez-Márquez, Oscar Camacho Nieto, Itzamá López-Yáñez, Amadeo José Argüelles-Cruz
Collaborative learning based on associative models: Application to pattern classification in medical datasets. Comput. Hum. Behav. 51 (2015)
Miltiadis D. Lytras, Hassan I. Mathkour, Hassan Ismail Abdalla, Wadee Al-Halabi, Cornelio Yáñez-Márquez, Sean Wolfgand Matsui Siqueira
An emerging - Social and emerging computing enabled philosophical paradigm for collaborative learning systems: Toward high effective next generation learning systems for the knowledge society. Comput. Hum. Behav. 51 (2015)
Itzamá López-Yáñez, Cornelio Yáñez-Márquez, Oscar Camacho Nieto, Mario Aldape-Pérez, Amadeo José Argüelles-Cruz
Collaborative learning in postgraduate level courses. Comput. Hum. Behav. 51 (2015)
Mario Matamoros de Luis, Amadeo José Argüelles-Cruz, Abril Valeria Uriarte-Arcia, Cornelio Yáñez-Márquez
Green Information Technology influence on car owners' behavior: Considerations for their operative support in collaborative eLearning and social networks. Comput. Hum. Behav. 51 (2015)
Miltiadis D. Lytras, Hassan Mathkour, Hassan Ismail Abdalla, Cornelio Yáñez-Márquez, Patricia Ordóñez de Pablos
The Social Media in Academia and EducationResearch R-evolutions and a Paradox: Advanced Next Generation Social Learning Innovation. J. Univers. Comput. Sci. 20 (15) (2014)
Omar Shatagua Jurado-Sánchez, Cornelio Yáñez-Márquez, Oscar Camacho Nieto, Itzamá López-Yáñez
Currency Exchange Rate Forecasting using Associative Models. Res. Comput. Sci. 78 (2014)
Itzamá López-Yáñez, Leonid Sheremetov, Cornelio Yáñez-Márquez
A novel associative model for time series data mining. Pattern Recognit. Lett. 41 (2014)
Ángel Ferreira-Santiago, Cornelio Yáñez-Márquez, Mario Aldape-Pérez, Itzamá López-Yáñez
Evolutionary Approach to Feature Selection with Associative Models. Res. Comput. Sci. 78 (2014)
Jesús Emmanuel Velázquez-Cruz, Itzamá López-Yáñez, Amadeo José Argüelles-Cruz, Cornelio Yáñez-Márquez
Risk Detection of Malignant Tumors in Mammograms using Unconventional Computing. Res. Comput. Sci. 78 (2014)
Mario Aldape-Pérez, Cornelio Yáñez-Márquez, Oscar Camacho Nieto, Ángel Ferreira-Santiago
Selección de características utilizando el paradigma de memoria asociativa y computación paralela. Computación y Sistemas 17 (1) (2013)
Itzamá López-Yáñez, Leonid Sheremetov, Cornelio Yáñez-Márquez
Associative Model for the Forecasting of Time Series Based on the Gamma Classifier. MCPR (2013)
María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Marco Antonio Acevedo-Mosqueda
Bidirectional associative memories: Different approaches. ACM Comput. Surv. 45 (2) (2013)
Amadeo José Argüelles-Cruz, Mario Matamoros de Luis, Paulina Elizabeth Moreno Aguilera, Cornelio Yáñez-Márquez
Mobile System Surveillance for Vehicular Pollutants Emission, Based on Wi-Fi Ad-Hoc Network. UCAmI (2013)
Mario Aldape-Pérez, Cornelio Yáñez-Márquez, Oscar Camacho Nieto, Amadeo José Argüelles-Cruz
An associative memory approach to medical decision support systems. Comput. Methods Programs Biomed. 106 (3) (2012)
Rolando Flores-Carapia, Víctor Manuel Silva García, Cornelio Yáñez-Márquez, Oscar Camacho Nieto
Una evidencia robusta de que el algoritmo DES fortalecido con una permutación inicial variable es eficiente. Computación y Sistemas 16 (2) (2012)
Edgar Armando Catalán-Salgado, Cornelio Yáñez-Márquez, Jesús Figueroa-Nazuno
Significative Learning Using Alpha-Beta Associative Memories. CIARP (2012)
Benjamín Luna Benoso, Cornelio Yáñez-Márquez
Autómatas celulares alfa-beta. Computación y Sistemas 16 (4) (2012)
Itzamá López-Yáñez, Amadeo José Argüelles-Cruz, Oscar Camacho Nieto, Cornelio Yáñez-Márquez
Pollutants Time-Series Prediction using the Gamma Classifier. Int. J. Comput. Intell. Syst. 4 (4) (2011)
Antonio Hernández Zavala, Oscar Camacho Nieto, Cornelio Yáñez-Márquez
Soft-core implementation for centre of Slice Area Average defuzzifier. FUZZ-IEEE (2011)
José Francisco Solís Villarreal, Cornelio Yáñez-Márquez, Sergio Suárez Guerra
Reconocimiento automático de voz emotiva con memorias asociativas Alfa-Beta SVM. Polibits 44 (2011)
Mario Aldape-Pérez, Cornelio Yáñez-Márquez, Amadeo José Argüelles-Cruz
FPGA Implementation of Parallel Alpha-Beta Associative Memories. ICIAR (2008)
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes, Edgardo Manuel Felipe Riverón
Adequacy Checking of Personal Software Development Effort Estimation Models Based upon Fuzzy Logic: A Replicated Experiment. Computación y Sistemas 11 (4) (2008)
Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Guadalupe de la Luz Sáenz Morales
Analysis and Prediction of Air Quality Data with the Gamma Classifier. CIARP (2008)
Enrique Guzmán, Oleksiy B. Pogrebnyak, Luis Sánchez Fernández, Cornelio Yáñez-Márquez
A Fast Search Algorithm for Vector Quantization Based on Associative Memories. CIARP (2008)
Luis Octavio López-Leyva, Cornelio Yáñez-Márquez, Rolando Flores-Carapia, Oscar Camacho Nieto
Handwritten Digit Classification Based on Alpha-Beta Associative Model. CIARP (2008)
Prudenciano Moreno-Moreno, Cornelio Yáñez-Márquez
The New Informatics Technologies in Education Debate. WSKS (2) (2008)
Enrique Guzmán, Oleksiy B. Pogrebnyak, Cornelio Yáñez-Márquez, Luis Pastor Sánchez Fernández
Morphological Transform for Image Compression. EURASIP J. Adv. Signal Process. 2008 (2008)
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes
Predictive accuracy comparison of fuzzy models for software development effort of small programs. J. Syst. Softw. 81 (6) (2008)
Israel Román-Godínez, Cornelio Yáñez-Márquez
Complete Recall on Alpha-Beta Heteroassociative Memory. MICAI (2007)
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes
An Empirical Validation of the Relationship Between MRE and Effort on Small Programs. Software Engineering Research and Practice (2007)
María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Itzamá López-Yáñez
Alpha-Beta bidirectional associative memories: theory and applications. Neural Process. Lett. 26 (1) (2007)
María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Itzamá López-Yáñez
A New Model of BAM: Alpha-Beta Bidirectional Associative Memories. J. Comput. 2 (4) (2007)
Cornelio Yáñez-Márquez, María Elena Cruz-Meza, Flavio Arturo Sánchez-Garfias, Itzamá López-Yáñez
Using Alpha-Beta Associative Memories to Learn and Recall RGB Images. ISNN (3) (2007)
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes
Fuzzy Models for Software Development Effort Estimation of Small Programs: A Comparison Based Upon MMER as Well as Heteroscedasticity. Software Engineering Research and Practice (2007)
Israel Román-Godínez, Itzamá López-Yáñez, Cornelio Yáñez-Márquez
Perfect Recall on the Lernmatrix. ISNN (2) (2007)
Mario Aldape-Pérez, Cornelio Yáñez-Márquez, Amadeo José Argüelles-Cruz
Optimized Associative Memories for Feature Selection. IbPRIA (1) (2007)
María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Itzamá López-Yáñez
A New Model of BAM: Alpha-Beta Bidirectional Associative Memories. ISCIS (2006)
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes
A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level. MICAI (2006)
Luis Pastor Sánchez Fernández, Cornelio Yáñez-Márquez, Oleksiy B. Pogrebnyak
Neural Network Based Industrial Processes Monitoring. ISNN (2) (2006)
María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Itzamá López-Yáñez
Complexity of Alpha-Beta Bidirectional Associative Memories. MICAI (2006)
Cornelio Yáñez-Márquez, Luis Pastor Sánchez Fernández, Itzamá López-Yáñez
Alpha-Beta Associative Memories for Gray Level Patterns. ISNN (1) (2006)
María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez
Alpha-Beta Bidirectional Associative Memories. Computación y Sistemas 10 (1) (2006)
Luis Pastor Sánchez Fernández, Oleksiy B. Pogrebnyak, Cornelio Yáñez-Márquez
Neural Network and Trend Prediction for Technological Processes Monitoring. MICAI (2005)
Cuauhtémoc López Martín, Jérôme Leboeuf Pasquier, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes
Software Development Effort Estimation Using Fuzzy Logic: A Case Study. ENC (2005)
Flavio Arturo Sánchez-Garfias, Juan Luis Díaz-de-León S., Cornelio Yáñez-Márquez
Lernmatrix de Steinbuch: Avances Teóricos. Computación y Sistemas 7 (3) (2004)
Cornelio Yáñez-Márquez, Juan Luis Díaz-de-León S.
Memorias Asociativas Basadas en Relaciones de Orden y Operaciones Binarias. Computación y Sistemas 6 (4) (2003)
Oscar Camacho Nieto, Luis A. Villa Vargas, Juan Luis Díaz-de-León S., Cornelio Yáñez-Márquez
Diseño de Sistemas de Memoria Cache de Alto Rendimiento aplicando Algoritmos de Acceso Seudo-Especulativo. Computación y Sistemas 7 (2) (2003)
Juan Humberto Sossa Azuela, Cornelio Yáñez-Márquez, Juan Luis Díaz-de-León S.
Computing geometric moments using morphological erosions. Pattern Recognit. 34 (2) (2001)