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2020 – today
- 2026
[j101]Rodolfo Salgado-Rivera, Jorge Emmanuel Zamora-Zamora, Oscar Camacho-Nieto, Cornelio Yáñez, Antonio Alarcón Paredes:
Detecting Non-CXR Inputs via Validation-Calibrated Thresholds in a Three-Level Convolutional Autoencoder for Chest Radiographs. Computación y Sistemas (CyS) 30(1) (2026)- [j100]Jorge Emmanuel Zamora-Zamora, Rodolfo Salgado-Rivera, Gustavo Adolfo Alonso-Silverio, Cornelio Yáñez-Márquez, Antonio Alarcón Paredes:
Radiology-Assisted Detection of Pleural Effusion Using a Balanced Baseline Model. Computación y Sistemas (CyS) 30(1) (2026) - [j99]Noé Oswaldo Rodríguez-Rodríguez
, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, Antonio Alarcón Paredes:
Minimalist Machine Learning: Classifying Patterns with a Single Attribute. J. Adv. Comput. Intell. Intell. Informatics 30(1): 258-266 (2026) - [j98]Marco A. Cardoso-Moreno, Juan Eduardo Luján-García, Cornelio Yáñez-Márquez:
ELINA: Emotion low-resources INference algorithm based on 1D ConvNets. J. Intell. Fuzzy Syst. 50(2): 198-206 (2026) - [c38]Gerardo Acevedo-Sánchez, Jorge Pacheco-Senard, Antonio Alarcón Paredes, Oscar Camacho-Nieto, Cornelio Yáñez-Márquez:
Comprehensive Validation of BREX Sequential Classifier Model for Robust Pattern Recognition. MCPR 2026: 91-102 - 2025
- [j97]Wenny Hojas-Mazo, Mailyn Moreno-Espino, Francisco Maciá Pérez, José Vicente Berná-Martínez, Cornelio Yáñez-Márquez:
An Auto-Tuning Goal-Oriented Dynamic Feature Selection for Non-Stationary Message Stream Classification Using a Multi-Agent Approach. IEEE Access 13: 7483-7501 (2025) - [j96]Yenny Villuendas-Rey, Cuauhtémoc López Martín, José Luis Velázquez-Rodríguez, Cornelio Yáñez-Márquez:
Swarm Intelligence for Predicting Software Development Effort. IEEE Access 13: 207448-207463 (2025) - [j95]Nayma Cepero-Pérez, Mailyn Moreno-Espino, Eduardo F. Morales, Ariel López González, Cornelio Yáñez-Márquez, Juan Pavón:
A proactive approach for random forest. Appl. Intell. 55(6): 432 (2025) - [j94]Gerardo Acevedo-Sánchez, Antonio Alarcón Paredes, Cornelio Yáñez-Márquez:
Effect of agriculture-related dataset complexity on classical machine learning and deep learning classifiers performance. Comput. Electron. Agric. 239: 110941 (2025) - [j93]Jorge Alberto Pacheco-Senard, Mailyn Moreno-Espino, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, Oscar Camacho-Nieto:
Minimalist Machine Learning with Metaheuristic Optimization for Explainable Spam Filtering. Computación y Sistemas (CyS) 29(4): 1979 (2025) - [j92]Gerardo Acevedo-Sánchez, Jorge Pacheco-Senard, Moisés Ramírez-Meraz, Reinaldo Méndez-Aguilar, Elvia Becerra-Martínez, Antonio Alarcón Paredes, Cornelio Yáñez-Márquez:
Machine Learning-Based Classification of Habanero Pepper Yield Using Mixed Metabolomic and Phenotypic Profile Features. Computación y Sistemas (CyS) 29(4): 2195 (2025) - [j91]Raúl Jiménez-Cruz, Cornelio Yáñez-Márquez, Miguel González-Mendoza, Yenni Villuendas-Rey, Raúl Monroy:
Spherical model for Minimalist Machine Learning paradigm in handling complex databases. Frontiers Artif. Intell. 8 (2025) - [j90]Osvaldo David Velazquez-Gonzalez, Antonio Alarcón Paredes, Cornelio Yáñez-Márquez:
Medical pattern classification using a novel binary similarity approach based on an associative classifier. Frontiers Artif. Intell. 8 (2025) - [j89]Claudia C. Tusell Rey, Yenny Villuendas-Rey, Viridiana Salinas García, Oscar Camacho-Nieto, Cornelio Yáñez-Márquez:
Instance Selection for Hybrid and Incomplete Data based on Clustering. Int. J. Comb. Optim. Probl. Informatics 16(3): 405-419 (2025) - [j88]José-Luis Solorio-Ramírez, Oscar Camacho-Nieto, Cornelio Yáñez-Márquez:
Minimalist Machine Learning: Binary Classification of Medical Datasets with Matrix Transformations. J. Adv. Comput. Intell. Intell. Informatics 29(2): 277-286 (2025) - [c37]David Vázquez-Santana, Sergio Damián-Sandoval, Cornelio Yáñez-Márquez, Edgardo Manuel Felipe-Riverón:
DSVS at REST-MEX 2025: A Multitask Approach for Sentiment, Place Type, and Town Classification in Spanish Reviews. IberLEF@SEPLN 2025 - 2024
- [j87]Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, Oscar Camacho-Nieto:
Ant-Based Feature and Instance Selection for Multiclass Imbalanced Data. IEEE Access 12: 133952-133968 (2024) - [j86]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) - [j85]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) - [c36]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: 2554-2565 - [c35]Sergio Damián, David Vázquez, Edgardo Manuel Felipe-Riverón, Cornelio Yáñez-Márquez:
DSVS at HOMO-MEX24: Multi-Class and Multi-Label Hate Speech Detection using Transformer-Based Models. IberLEF@SEPLN 2024 - 2023
- [j84]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): 293 (2023) - [j83]Juan Eduardo Luján-García, Areli Yesareth Guerrero Estrada, Cornelio Yáñez-Márquez:
XDApp: Clasificación de radiografías por medio de una aplicación móvil. Res. Comput. Sci. 152(9): 135-145 (2023) - [c34]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: 189-200 - [c33]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: 1472-1476 - [d1]Claudia C. Tussell-Rey, Ricardo Tejeida-Padilla, Oscar Camacho-Nieto, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez:
Non Verbal Tourists. UCI-MLR, 2023
- 2022
- [j82]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): 46 (2022) - [j81]Marco Antonio Cardoso Moreno, Francisco Hiram Calvo Castro, Cornelio Yáñez-Márquez:
Linguistic Elements Selection from a BCI Matrix Using Intelligent Computing. Res. Comput. Sci. 151(10): 129-140 (2022) - 2020
- [j80]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: 51862-51870 (2020) - [j79]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): 82-87 (2020) - [j78]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: 27-39 (2020) - [j77]Cornelio Yáñez-Márquez:
Toward the Bleaching of the Black Boxes: Minimalist Machine Learning. IT Prof. 22(4): 51-56 (2020) - [j76]Oscar Camacho Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey:
Undersampling Instance Selection for Hybrid and Incomplete Imbalanced Data. J. Univers. Comput. Sci. 26(6): 698-719 (2020) - [j75]Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, José Luis Velázquez-Rodríguez:
Generic extended multigranular sets for mixed and incomplete information systems. Soft Comput. 24(8): 6119-6137 (2020)
2010 – 2019
- 2019
- [j74]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: 64198-64205 (2019) - [j73]Benjamín López-Carrera, Cornelio Yáñez-Márquez:
A Simple Model for the Entropy of a System With Interacting Particles. IEEE Access 7: 108969-108979 (2019) - [j72]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: 117761-117767 (2019) - [j71]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: 218-229 (2019) - [j70]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): 241-253 (2019) - [j69]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): 199-208 (2019) - 2018
- [j68]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): 858-881 (2018) - [j67]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) - [j66]Yosimar O. Serrano-Silva, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez:
Automatic feature weighting for improving financial Decision Support Systems. Decis. Support Syst. 107: 78-87 (2018) - [j65]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): 1860009:1-1860009:32 (2018) - [j64]Andrés García-Floriano, Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Alain Abran:
Support vector regression for predicting software enhancement effort. Inf. Softw. Technol. 97: 99-109 (2018) - [j63]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): 775-796 (2018) - [j62]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): 811-847 (2018) - [j61]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): 97-106 (2018) - [j60]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): 161-170 (2018) - [j59]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): 2690 (2018) - 2017
- [j58]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: 218-225 (2017) - [j57]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: 105-115 (2017) - [j56]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): 304-326 (2017) - [j55]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: 104-112 (2017) - [j54]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): 278-297 (2017) - [j53]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: 41-50 (2017) - [c32]Cuauhtémoc López Martín, Shadi Banitaan, Andrés García-Floriano, Cornelio Yáñez-Márquez:
Support Vector Regression for Predicting the Enhancement Duration of Software Projects. ICMLA 2017: 562-567 - 2016
- [j52]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): 2229-2240 (2016) - [j51]Yosimar O. Serrano-Silva, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez:
Telemarketing Success: Evaluation of Supervised Classifiers. Res. Comput. Sci. 118: 157-166 (2016) - [j50]Cornelio Yáñez-Márquez, Yenny Villuendas-Rey, Yosimar O. Serrano-Silva:
An Experimental Comparison of Credit Risk Classification. Res. Comput. Sci. 119: 33-42 (2016) - [j49]Cornelio Yáñez-Márquez, Mario Aldape-Pérez, Oscar Camacho-Nieto, Rogelio Ramírez-Rubio, Sonia L. Valencia-Ortíz:
A new associative classification approach to Parkinson pre diagnosis. Res. Comput. Sci. 119: 67-78 (2016) - 2015
- [j48]Miltiadis D. Lytras, Hassan I. Mathkour, Hassan I. 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: 557-561 (2015) - [j47]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: 771-779 (2015) - [j46]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: 792-802 (2015) - [j45]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: 938-944 (2015) - [j44]Cornelio Yáñez-Márquez, Eduardo Solórzano-Alor, Mario Aldape-Pérez, Rogelio Ramírez-Rubio:
Feature Selection on Associative Models using Single Board Computer Paradigm. Res. Comput. Sci. 98: 9-20 (2015) - [j43]Antonio Ramírez-Ramírez, Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Yenny Villuendas-Rey:
Improving Parameters of the Gamma Associative Classifier using Differential Evolution. Res. Comput. Sci. 98: 59-72 (2015) - [j42]Cornelio Yáñez-Márquez, Jarvin A. Antón Vargas, José F. Cabrera-Venegas, Yenny Villuendas-Rey:
New Unsupervised Classification Scheme for Datasets with presence of noise. Res. Comput. Sci. 98: 107-116 (2015) - [j41]J. R. Caro Vásquez, Isaac Chairez Oria, Cornelio Yáñez-Márquez:
Metodología de clasificación de señales electromiográficas. Res. Comput. Sci. 105: 139-145 (2015) - 2014
- [j40]Iván Salgado, Oscar Camacho Nieto, Cornelio Yáñez, Isaac Chairez:
Proportional derivative fuzzy control supplied with second order sliding mode differentiation. Eng. Appl. Artif. Intell. 35: 84-94 (2014) - [j39]Miltiadis D. Lytras, Hassan Mathkour, Hassan I. 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): 1987-1994 (2014) - [j38]Itzamá López-Yáñez, Leonid Sheremetov, Cornelio Yáñez-Márquez:
A novel associative model for time series data mining. Pattern Recognit. Lett. 41: 23-33 (2014) - [j37]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: 55-66 (2014) - [j36]Omar Shatagua Jurado-Sánchez, Cornelio Yáñez-Márquez, Oscar Camacho Nieto, Itzamá López-Yáñez:
Currency Exchange Rate Forecasting using Associative Models. Res. Comput. Sci. 78: 67-76 (2014) - [j35]Ángel Ferreira-Santiago, Cornelio Yáñez-Márquez, Mario Aldape-Pérez, Itzamá López-Yáñez:
Evolutionary Approach to Feature Selection with Associative Models. Res. Comput. Sci. 78: 111-122 (2014) - 2013
- [j34]María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Marco Antonio Acevedo-Mosqueda:
Bidirectional associative memories: Different approaches. ACM Comput. Surv. 45(2): 18:1-18:30 (2013) - [j33]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) - [c31]Iván Salgado, Oscar Camacho Nieto, Isaac Chairez, Cornelio Yáñez:
Adaptive control of discrete-time nonlinear systems by recurrent neural networks in a Quasi Sliding mode regime. IJCNN 2013: 1-8 - [c30]Itzamá López-Yáñez, Leonid Sheremetov, Cornelio Yáñez-Márquez:
Associative Model for the Forecasting of Time Series Based on the Gamma Classifier. MCPR 2013: 304-313 - [c29]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: 294-302 - 2012
- [j32]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): 287-307 (2012) - [j31]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) - [j30]Benjamín Luna Benoso, Cornelio Yáñez-Márquez:
Autómatas celulares alfa-beta. Computación y Sistemas 16(4) (2012) - [c28]Edgar Armando Catalán-Salgado, Cornelio Yáñez-Márquez, Jesús Figueroa-Nazuno:
Significative Learning Using Alpha-Beta Associative Memories. CIARP 2012: 535-542 - 2011
- [j29]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): 680-711 (2011) - [j28]José Francisco Solís Villarreal, Cornelio Yáñez-Márquez, Sergio Suárez Guerra:
Reconocimiento automático de voz emotiva con memorias asociativas Alfa-Beta SVM. Polibits 44: 19-23 (2011) - [c27]Antonio Hernández Zavala, Oscar Camacho Nieto, Cornelio Yáñez-Márquez:
Soft-core implementation for centre of Slice Area Average defuzzifier. FUZZ-IEEE 2011: 910-916 - [c26]Amadeo José Argüelles-Cruz, Cornelio Yáñez, Itzamá López-Yáñez, Oscar Camacho Nieto:
Prediction of CO and NOx Levels in Mexico City Using Associative Models. AIAI 2011: 313-322
2000 – 2009
- 2009
- [j27]Amadeo José Argüelles-Cruz, Cornelio Yáñez-Márquez, Mario Aldape-Pérez:
Delta Associative Memory: An Efficient.Pattern Classifier. Res. Comput. Sci. 42: 79-90 (2009) - [c25]Enrique Guzmán, Oleksiy B. Pogrebnyak, Cornelio Yáñez, Pablo Manrique:
Vector Quantization Algorithm Based on Associative Memories. MICAI 2009: 324-336 - [p1]Israel Román-Godínez, Itzamá López-Yáñez, Cornelio Yáñez-Márquez:
Classifying Patterns in Bioinformatics Databases by Using Alpha-Beta Associative Memories. Biomedical Data and Applications 2009: 187-210 - 2008
- [j26]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés, 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) - [j25]Enrique Guzmán, Oleksiy B. Pogrebnyak, Cornelio Yáñez-Márquez, Luis Pastor Sánchez Fernández:
Morphological Transform for Image Compression. EURASIP J. Adv. Signal Process. 2008 (2008) - [j24]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés:
Predictive accuracy comparison of fuzzy models for software development effort of small programs. J. Syst. Softw. 81(6): 949-960 (2008) - [j23]Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Víctor Manuel Silva García:
Using Binary Decision Diagrams to Efficiently Represent Morphological Associative Memories. Res. Comput. Sci. 34: 47-58 (2008) - [j22]Cornelio Yáñez-Márquez, Mario Aldape-Pérez, Oscar Camacho Nieto:
Efficient Pattern Recalling Using Parallel Alpha-Beta Associative Memories. Res. Comput. Sci. 35: 147-156 (2008) - [c24]Luis Octavio López-Leyva, Cornelio Yáñez-Márquez, Rolando Flores-Carapia, Oscar Camacho Nieto:
Handwritten Digit Classification Based on Alpha-Beta Associative Model. CIARP 2008: 437-444 - [c23]Enrique Guzmán, Oleksiy B. Pogrebnyak, Luis Sánchez Fernández, Cornelio Yáñez-Márquez:
A Fast Search Algorithm for Vector Quantization Based on Associative Memories. CIARP 2008: 487-495 - [c22]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: 651-658 - [c21]Mario Aldape-Pérez, Cornelio Yáñez-Márquez, Amadeo José Argüelles-Cruz:
FPGA Implementation of Parallel Alpha-Beta Associative Memories. ICIAR 2008: 1081-1090 - [c20]Prudenciano Moreno-Moreno, Cornelio Yáñez-Márquez:
The New Informatics Technologies in Education Debate. WSKS (2) 2008: 291-296 - 2007
- [j21]María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Itzamá López-Yáñez:
A New Model of BAM: Alpha-Beta Bidirectional Associative Memories. J. Comput. 2(4): 49-56 (2007) - [j20]María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Itzamá López-Yáñez:
Alpha-Beta bidirectional associative memories: theory and applications. Neural Process. Lett. 26(1): 1-40 (2007) - [j19]Cornelio Yáñez-Márquez, Jorge Isaac Chairez Oria, Victor Hugo Ortiz:
Skull Fractures Detection by Finite Element Method. Res. Comput. Sci. 29: 100-109 (2007) - [j18]Amadeo José Argüelles-Cruz, Cornelio Yáñez-Márquez, Mario Aldape-Pérez:
FPGA Implementation of Alfa Beta Associative Memories. Res. Comput. Sci. 30: 27-36 (2007) - [c19]Mario Aldape-Pérez, Cornelio Yáñez-Márquez, Amadeo José Argüelles-Cruz:
Optimized Associative Memories for Feature Selection. IbPRIA (1) 2007: 435-442 - [c18]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: 828-833 - [c17]Israel Román-Godínez, Itzamá López-Yáñez, Cornelio Yáñez-Márquez:
Perfect Recall on the Lernmatrix. ISNN (2) 2007: 835-841 - [c16]Israel Román-Godínez, Cornelio Yáñez-Márquez:
Complete Recall on Alpha-Beta Heteroassociative Memory. MICAI 2007: 193-202 - [c15]Enrique Guzmán, Oleksiy B. Pogrebnyak, Cornelio Yáñez:
Design of an Evolutionary Codebook Based on Morphological Associative Memories. MICAI 2007: 601-611 - [c14]Enrique Guzmán, Selene Alvarado, Oleksiy B. Pogrebnyak, Luis Pastor Sánchez Fernández, Cornelio Yáñez:
Hardware Implementation of Image Recognition System Based on Morphological Associative Memories and Discrete Wavelet Transform. PSIVT 2007: 664-677 - [c13]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés:
An Empirical Validation of the Relationship Between MRE and Effort on Small Programs. Software Engineering Research and Practice 2007: 364-370 - [c12]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés:
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: 430-436 - 2006
- [j17]María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez:
Alpha-Beta Bidirectional Associative Memories. Computación y Sistemas 10(1) (2006) - [j16]Cornelio Yáñez-Márquez, Luis Octavio López-Leyva, Mario Adalpe Pérez:
Omptimized Implementation of a Pattern Classifier Using Feature Set Reduction. Res. Comput. Sci. 24: 11-20 (2006) - [j15]Antonio Hernández Zavala, Cornelio Yáñez-Márquez, Oscar Camacho Nieto, Osvaldo Espinosa-Sosa:
Low Cost Multi-Channel Data Acquisition System with Graphical HMI. Res. Comput. Sci. 24: 85-94 (2006) - [c11]Enrique Guzmán, Oleksiy B. Pogrebnyak, Cornelio Yáñez, José A. Moreno:
Image Compression Algorithm Based on Morphological Associative Memories. CIARP 2006: 519-528 - [c10]Cornelio Yáñez, Edgardo Manuel Felipe-Riverón, Itzamá López-Yáñez, Rolando Flores-Carapia:
A Novel Approach to Automatic Color Matching. CIARP 2006: 529-538 - [c9]Pedro Sánchez, Cornelio Yáñez, Jonathan Pecero, Apolinar Ramírez-Saldivar:
Egomotion Estimation as an Appearance-Based Classification Problem. CIARP 2006: 743-752 - [c8]María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Itzamá López-Yáñez:
A New Model of BAM: Alpha-Beta Bidirectional Associative Memories. ISCIS 2006: 286-295 - [c7]Cornelio Yáñez-Márquez, Luis Pastor Sánchez Fernández, Itzamá López-Yáñez:
Alpha-Beta Associative Memories for Gray Level Patterns. ISNN (1) 2006: 818-823 - [c6]Luis Pastor Sánchez Fernández, Cornelio Yáñez-Márquez, Oleksiy B. Pogrebnyak:
Neural Network Based Industrial Processes Monitoring. ISNN (2) 2006: 933-938 - [c5]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés:
A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level. MICAI 2006: 122-133 - [c4]María Elena Acevedo-Mosqueda, Cornelio Yáñez-Márquez, Itzamá López-Yáñez:
Complexity of Alpha-Beta Bidirectional Associative Memories. MICAI 2006: 357-366 - 2005
- [j14]Cornelio Yáñez-Márquez, Rolando Flores-Carapia:
Minkowski's Metrics-Based k-NN Classifier Algorithm: A Comparative Study. Res. Comput. Sci. 14: 191-202 (2005) - [c3]Cuauhtémoc López Martín, Jérôme Leboeuf Pasquier, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés:
Software Development Effort Estimation Using Fuzzy Logic: A Case Study. ENC 2005: 113-120 - [c2]Luis Pastor Sánchez Fernández, Oleksiy B. Pogrebnyak, Cornelio Yáñez-Márquez:
Neural Network and Trend Prediction for Technological Processes Monitoring. MICAI 2005: 731-740 - 2004
- [j13]Flavio Arturo Sánchez-Garfias, Juan Luis Díaz-de-León-Santiago, Cornelio Yáñez-Márquez:
Lernmatrix de Steinbuch: Avances Teóricos. Computación y Sistemas 7(3) (2004) - [j12]Luis Pastor Sánchez Fernández, Juan Luis Díaz-de-León-Santiago, Cornelio Yáñez, Roberto Herrera Charles:
Cuantificación del Error en las Mediciones Debido a la Frecuencia de Muestreo. Computación y Sistemas 8(2) (2004) - [j11]Cornelio Yáñez-Márquez, Flavio Arturo Sánchez-Garfias, Juan Luis Díaz-de-León-Santiago:
New Results on the Lernmatrix Properties. Res. Comput. Sci. 10: 91-102 (2004) - [c1]Juan Luis Díaz-de-León-Santiago, Cornelio Yáñez, Giovanni Guzmán:
Thinning Algorithm to Generate k-Connected Skeletons. CIARP 2004: 605-612 - 2003
- [j10]Cornelio Yáñez-Márquez, Juan Luis Díaz-de-León-Santiago:
Memorias Asociativas Basadas en Relaciones de Orden y Operaciones Binarias. Computación y Sistemas 6(4) (2003) - [j9]Oscar Camacho Nieto, Luis A. Villa Vargas, Juan Luis Díaz-de-León-Santiago, Cornelio Yáñez-Márquez:
Diseño de Sistemas de Memoria Cache de Alto Rendimiento aplicando Algoritmos de Acceso Seudo-Especulativo. Computación y Sistemas 7(2) (2003) - [j8]Cornelio Yáñez-Márquez, Giovanni Guzmán, Juan Luis Díaz-de-León-Santiago:
Algoritmos para Generar Esqueletos k-conectados Basados en Criterios de Conectividad. Res. Comput. Sci. 3: 165-170 (2003) - [j7]Cornelio Yáñez-Márquez, Flavio Arturo Sánchez-Garfias, Juan Luis Díaz-de-León-Santiago:
Lernmatrix de Steinbuh: Avances Teóricos. Res. Comput. Sci. 3: 236-244 (2003) - [j6]Raúl Santiago-Montero, Cornelio Yáñez-Márquez, Juan Luis Díaz-de-León-Santiago:
Clasificador Asociativo de Patrones: Avances Teóricos. Res. Comput. Sci. 3: 257-267 (2003) - [j5]Cornelio Yáñez-Márquez, Juan Luis Díaz-de-León-Santiago, Luis Octavio López-Leyva:
Diseño y Construcción de la CPU del Equipo MULTIMAT del Sistema de Transporte Colectivo (METRO). Res. Comput. Sci. 3: 300-318 (2003) - [j4]Cornelio Yáñez-Márquez, Juan Luis Díaz-de-León-Santiago:
Introducción a las Memorias Asociativas. Res. Comput. Sci. 6: 1-136 (2003) - 2002
- [j3]Flavio Arturo Sánchez-Garfias, Juan Luis Díaz-de-León-Santiago, Cornelio Yáñez-Márquez:
Lernmatrix de Steinbuch: Condiciones Necesarias y Suficientes para Reuperación Perfecta. Res. Comput. Sci. 1: 437-448 (2002) - [j2]Cornelio Yáñez-Márquez, R. Santiago-Montero, Juan Luis Díaz-de-León-Santiago:
Clasificador Híbrido de Patrones basado en la Lernmatrix de Steinbuch y el Linear Associator de Anderson-Kohonen. Res. Comput. Sci. 1: 449-460 (2002) - 2001
- [j1]Juan Humberto Sossa Azuela, Cornelio Yáñez-Márquez, Juan Luis Díaz-de-León-Santiago:
Computing geometric moments using morphological erosions. Pattern Recognit. 34(2): 271-276 (2001)
Coauthor Index
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