Computing geometric moments using morphological erosions. - Juan Humberto Sossa Azuela; Cornelio Yáñez-Márquez; Juan Luis Díaz-de-León S. (Pattern Recognit., 2001)

Diseño de Sistemas de Memoria Cache de Alto Rendimiento aplicando Algoritmos de Acceso Seudo-Especulativo. - Oscar Camacho Nieto; Luis A. Villa Vargas; Juan Luis Díaz-de-León S.; Cornelio Yáñez-Márquez (Computación y Sistemas, 2003)

Memorias Asociativas Basadas en Relaciones de Orden y Operaciones Binarias. - Cornelio Yáñez-Márquez; Juan Luis Díaz-de-León S. (Computación y Sistemas, 2003)

Thinning Algorithm to Generate k-Connected Skeletons. - Juan Luis Díaz-de-León S.; Cornelio Yáñez; Giovanni Guzmán (CIARP, 2004)

Cuantificación del Error en las Mediciones Debido a la Frecuencia de Muestreo. - Luis Pastor Sánchez Fernández; Juan Luis Díaz-de-León S.; Cornelio Yáñez; Roberto Herrera (Computación y Sistemas, 2004)

Lernmatrix de Steinbuch: Avances Teóricos. - Flavio Arturo Sánchez-Garfias; Juan Luis Díaz-de-León S.; Cornelio Yáñez-Márquez (Computación y Sistemas, 2004)

Software Development Effort Estimation Using Fuzzy Logic: A Case Study. - Cuauhtémoc López Martín; Jérôme Leboeuf Pasquier; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (ENC, 2005)

Neural Network and Trend Prediction for Technological Processes Monitoring. - Luis Pastor Sánchez Fernández; Oleksiy B. Pogrebnyak; Cornelio Yáñez-Márquez (MICAI, 2005)

Image Compression Algorithm Based on Morphological Associative Memories. - Enrique Guzmán 001; Oleksiy B. Pogrebnyak; Cornelio Yáñez; José A. Moreno (CIARP, 2006)

Egomotion Estimation as an Appearance-Based Classification Problem. - Pedro Sánchez; Cornelio Yáñez; Jonathan Pecero; Apolinar Ramírez (CIARP, 2006)

A Novel Approach to Automatic Color Matching. - Cornelio Yáñez; Edgardo Manuel Felipe Riverón; Itzamá López-Yáñez; Rolando Flores-Carapia (CIARP, 2006)

A New Model of BAM: Alpha-Beta Bidirectional Associative Memories. - María Elena Acevedo-Mosqueda; Cornelio Yáñez-Márquez; Itzamá López-Yáñez (ISCIS, 2006)

Neural Network Based Industrial Processes Monitoring. - Luis Pastor Sánchez Fernández; Cornelio Yáñez-Márquez; Oleksiy B. Pogrebnyak (ISNN (2), 2006)

Alpha-Beta Associative Memories for Gray Level Patterns. - Cornelio Yáñez-Márquez; Luis Pastor Sánchez Fernández; Itzamá López-Yáñez (ISNN (1), 2006)

Complexity of Alpha-Beta Bidirectional Associative Memories. - María Elena Acevedo-Mosqueda; Cornelio Yáñez-Márquez; Itzamá López-Yáñez (MICAI, 2006)

A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (MICAI, 2006)

Alpha-Beta Bidirectional Associative Memories. - María Elena Acevedo-Mosqueda; Cornelio Yáñez-Márquez (Computación y Sistemas, 2006)

Optimized Associative Memories for Feature Selection. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Amadeo José Argüelles-Cruz (IbPRIA (1), 2007)

Perfect Recall on the Lernmatrix. - Israel Román-Godínez; Itzamá López-Yáñez; Cornelio Yáñez-Márquez (ISNN (2), 2007)

Using Alpha-Beta Associative Memories to Learn and Recall RGB Images. - Cornelio Yáñez-Márquez; María Elena Cruz-Meza; Flavio Arturo Sánchez-Garfias; Itzamá López-Yáñez (ISNN (3), 2007)

Design of an Evolutionary Codebook Based on Morphological Associative Memories. - Enrique Guzmán 001; Oleksiy B. Pogrebnyak; Cornelio Yáñez (MICAI, 2007)

Complete Recall on Alpha-Beta Heteroassociative Memory. - Israel Román-Godínez; Cornelio Yáñez-Márquez (MICAI, 2007)

Hardware Implementation of Image Recognition System Based on Morphological Associative Memories and Discrete Wavelet Transform. - Enrique Guzmán 001; Selene Alvarado; Oleksiy B. Pogrebnyak; Luis Pastor Sánchez Fernández; Cornelio Yáñez (PSIVT, 2007)

An Empirical Validation of the Relationship Between MRE and Effort on Small Programs. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (Software Engineering Research and Practice, 2007)

Fuzzy Models for Software Development Effort Estimation of Small Programs: A Comparison Based Upon MMER as Well as Heteroscedasticity. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (Software Engineering Research and Practice, 2007)

Alpha-Beta bidirectional associative memories: theory and applications. - María Elena Acevedo-Mosqueda; Cornelio Yáñez-Márquez; Itzamá López-Yáñez (Neural Process. Lett., 2007)

A Fast Search Algorithm for Vector Quantization Based on Associative Memories. - Enrique Guzmán 001; Oleksiy B. Pogrebnyak; Luis Sánchez Fernández 002; Cornelio Yáñez-Márquez (CIARP, 2008)

Handwritten Digit Classification Based on Alpha-Beta Associative Model. - Luis Octavio López-Leyva; Cornelio Yáñez-Márquez; Rolando Flores-Carapia; Oscar Camacho Nieto (CIARP, 2008)

Analysis and Prediction of Air Quality Data with the Gamma Classifier. - Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Guadalupe de la Luz Sáenz Morales (CIARP, 2008)

FPGA Implementation of Parallel Alpha-Beta Associative Memories. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Amadeo José Argüelles-Cruz (ICIAR, 2008)

The New Informatics Technologies in Education Debate. - Prudenciano Moreno-Moreno; Cornelio Yáñez-Márquez (WSKS (2), 2008)

Adequacy Checking of Personal Software Development Effort Estimation Models Based upon Fuzzy Logic: A Replicated Experiment. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes; Edgardo Manuel Felipe Riverón (Computación y Sistemas, 2008)

Morphological Transform for Image Compression. - Enrique Guzmán 001; Oleksiy B. Pogrebnyak; Cornelio Yáñez-Márquez; Luis Pastor Sánchez Fernández (EURASIP J. Adv. Signal Process., 2008)

Predictive accuracy comparison of fuzzy models for software development effort of small programs. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (J. Syst. Softw., 2008)

Vector Quantization Algorithm Based on Associative Memories. - Enrique Guzmán 001; Oleksiy B. Pogrebnyak; Cornelio Yáñez; Pablo Manrique (MICAI, 2009)

Classifying Patterns in Bioinformatics Databases by Using Alpha-Beta Associative Memories. - Israel Román-Godínez; Itzamá López-Yáñez; Cornelio Yáñez-Márquez (Biomedical Data and Applications, 2009)

Soft-core implementation for centre of Slice Area Average defuzzifier. - Antonio Hernández Zavala; Oscar Camacho Nieto; Cornelio Yáñez-Márquez (FUZZ-IEEE, 2011)

Prediction of CO and NOx Levels in Mexico City Using Associative Models. - Amadeo José Argüelles-Cruz; Cornelio Yáñez; Itzamá López-Yáñez; Oscar Camacho Nieto (AIAI, 2011)

Pollutants Time-Series Prediction using the Gamma Classifier. - Itzamá López-Yáñez; Amadeo José Argüelles-Cruz; Oscar Camacho Nieto; Cornelio Yáñez-Márquez (Int. J. Comput. Intell. Syst., 2011)

Reconocimiento automático de voz emotiva con memorias asociativas Alfa-Beta SVM. - José Francisco Solís Villarreal; Cornelio Yáñez-Márquez; Sergio Suárez Guerra (Polibits, 2011)

Significative Learning Using Alpha-Beta Associative Memories. - Edgar Armando Catalán-Salgado; Cornelio Yáñez-Márquez; Jesús Figueroa-Nazuno (CIARP, 2012)

An associative memory approach to medical decision support systems. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Oscar Camacho Nieto; Amadeo José Argüelles-Cruz (Comput. Methods Programs Biomed., 2012)

Autómatas celulares alfa-beta. - Benjamín Luna Benoso; Cornelio Yáñez-Márquez (Computación y Sistemas, 2012)

Una evidencia robusta de que el algoritmo DES fortalecido con una permutación inicial variable es eficiente. - Rolando Flores-Carapia; Víctor Manuel Silva García; Cornelio Yáñez-Márquez; Oscar Camacho Nieto (Computación y Sistemas, 2012)

Adaptive control of discrete-time nonlinear systems by recurrent neural networks in a Quasi Sliding mode regime. - Iván Salgado 001; Oscar Camacho Nieto; Isaac Chairez 001; Cornelio Yáñez (IJCNN, 2013)

Associative Model for the Forecasting of Time Series Based on the Gamma Classifier. - Itzamá López-Yáñez; Leonid Sheremetov; Cornelio Yáñez-Márquez (MCPR, 2013)

Mobile System Surveillance for Vehicular Pollutants Emission, Based on Wi-Fi Ad-Hoc Network. - Amadeo José Argüelles-Cruz; Mario Matamoros de Luis; Paulina Elizabeth Moreno Aguilera; Cornelio Yáñez-Márquez (UCAmI, 2013)

Bidirectional associative memories: Different approaches. - María Elena Acevedo-Mosqueda; Cornelio Yáñez-Márquez; Marco Antonio Acevedo-Mosqueda (ACM Comput. Surv., 2013)

Selección de características utilizando el paradigma de memoria asociativa y computación paralela. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Oscar Camacho Nieto; Ángel Ferreira-Santiago (Computación y Sistemas, 2013)

Proportional derivative fuzzy control supplied with second order sliding mode differentiation. - Iván Salgado 001; Oscar Camacho Nieto; Cornelio Yáñez; Isaac Chairez 001 (Eng. Appl. Artif. Intell., 2014)

The Social Media in Academia and EducationResearch R-evolutions and a Paradox: Advanced Next Generation Social Learning Innovation. - Miltiadis D. Lytras; Hassan Mathkour; Hassan I. Abdalla; Cornelio Yáñez-Márquez; Patricia Ordóñez de Pablos (J. Univers. Comput. Sci., 2014)

A novel associative model for time series data mining. - Itzamá López-Yáñez; Leonid Sheremetov; Cornelio Yáñez-Márquez (Pattern Recognit. Lett., 2014)

Evolutionary Approach to Feature Selection with Associative Models. - Ángel Ferreira-Santiago; Cornelio Yáñez-Márquez; Mario Aldape-Pérez; Itzamá López-Yáñez (Res. Comput. Sci., 2014)

Currency Exchange Rate Forecasting using Associative Models. - Omar Shatagua Jurado-Sánchez; Cornelio Yáñez-Márquez; Oscar Camacho Nieto; Itzamá López-Yáñez (Res. Comput. Sci., 2014)

Risk Detection of Malignant Tumors in Mammograms using Unconventional Computing. - Jesús Emmanuel Velázquez-Cruz; Itzamá López-Yáñez; Amadeo José Argüelles-Cruz; Cornelio Yáñez-Márquez (Res. Comput. Sci., 2014)

Collaborative learning based on associative models: Application to pattern classification in medical datasets. - Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Oscar Camacho Nieto; Itzamá López-Yáñez; Amadeo José Argüelles-Cruz (Comput. Hum. Behav., 2015)

Collaborative learning in postgraduate level courses. - Itzamá López-Yáñez; Cornelio Yáñez-Márquez; Oscar Camacho Nieto; Mario Aldape-Pérez; Amadeo José Argüelles-Cruz (Comput. Hum. Behav., 2015)

Green Information Technology influence on car owners' behavior: Considerations for their operative support in collaborative eLearning and social networks. - Mario Matamoros de Luis; Amadeo José Argüelles-Cruz; Abril Valeria Uriarte-Arcia; Cornelio Yáñez-Márquez (Comput. Hum. Behav., 2015)

An emerging - Social and emerging computing enabled philosophical paradigm for collaborative learning systems: Toward high effective next generation learning systems for the knowledge society. - Miltiadis D. Lytras; Hassan I. Mathkour; Hassan I. Abdalla; Wadee Al-Halabi; Cornelio Yáñez-Márquez; Sean Wolfgand Matsui Siqueira (Comput. Hum. Behav., 2015)

Metodología de clasificación de señales electromiográficas. - J. R. Caro Vásquez; Isaac Chairez Oria; Cornelio Yáñez-Márquez (Res. Comput. Sci., 2015)

Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects. - Ángel Ferreira-Santiago; Cuauhtémoc López Martín; Cornelio Yáñez-Márquez (Neural Comput. Appl., 2016)

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

Support Vector Regression for Predicting the Enhancement Duration of Software Projects. - Cuauhtémoc López Martín; Shadi Banitaan; Andrés García-Floriano; Cornelio Yáñez-Márquez (ICMLA, 2017)

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)

Pattern classification using smallest normalized difference associative memory. - Rogelio Ramírez-Rubio; Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Oscar Camacho Nieto (Pattern Recognit. Lett., 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)

Prediction of Online Students Performance by Means of Genetic Programming. - Rosa Leonor Ulloa-Cazarez; Cuauhtémoc López Martín; Alain Abran; Cornelio Yáñez-Márquez (Appl. Artif. Intell., 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)

Support vector regression for predicting software enhancement effort. - Andrés García-Floriano; Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Alain Abran (Inf. Softw. Technol., 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)

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)

An Associative Memory Approach to Healthcare Monitoring and Decision Making. - Mario Aldape-Pérez; Antonio Alarcón Paredes; Cornelio Yáñez-Márquez; Itzamá López-Yáñez; Oscar Camacho Nieto (Sensors, 2018)

A Simple Model for the Entropy of a System With Interacting Particles. - Benjamín López-Carrera; Cornelio Yáñez-Márquez (IEEE Access, 2019)

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)

A machine learning approach to medical image classification: Detecting age-related macular degeneration in fundus images. - Andrés García-Floriano; Ángel Ferreira-Santiago; Oscar Camacho Nieto; Cornelio Yáñez-Márquez (Comput. Electr. Eng., 2019)

Gene selection for enhanced classification on microarray data using a weighted k-NN based algorithm. - Elías Ventura-Molina; Antonio Alarcón Paredes; Mario Aldape-Pérez; Cornelio Yáñez-Márquez; Gustavo Adolfo Alonso-Silverio (Intell. Data Anal., 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)

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)

Stochastic gradient boosting for predicting the maintenance effort of software-intensive systems. - Sergio Cerón-Figueroa; Cuauhtémoc López Martín; Cornelio Yáñez-Márquez (IET Softw., 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)

Toward the Bleaching of the Black Boxes: Minimalist Machine Learning. - Cornelio Yáñez-Márquez (IT Prof., 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)

Entanglement measures of a pentapartite W-class state in the noninertial frame. - Daniel Mejía Ocampo; Julio César Salgado Ramírez; Cornelio Yáñez-Márquez; Guo-Hua Sun (Quantum Inf. Process., 2022)

BEC-1D: Biosignal-Based Emotions Classification with 1D ConvNet. - Juan Eduardo Luján-García; Marco A. Cardoso-Moreno; Cornelio Yáñez-Márquez; Hiram Calvo (MICAI (2), 2023)

Convolving Emotions: A Compact CNN for EEG-Based Emotion Recognition. - Marco A. Cardoso-Moreno; Cesar Macias; Tania Alcántara; Miguel Soto; Hiram Calvo; Cornelio Yáñez-Márquez (SSCI, 2023)

XDApp: Clasificación de radiografías por medio de una aplicación móvil. - Juan Eduardo Luján-García; Areli Yesareth Guerrero Estrada; Cornelio Yáñez-Márquez (Res. Comput. Sci., 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)

DSVS at PAN 2024: Ensemble Approach of Transformer-based Language Models for Analyzing Conspiracy Theories Against Critical Thinking Narratives. - Sergio Damián; Brian Herrera; David Vázquez 003; Hiram Calvo; Edgardo Manuel Felipe Riverón; Cornelio Yáñez-Márquez (CLEF (Working Notes), 2024)

DSVS at HOMO-MEX24: Multi-Class and Multi-Label Hate Speech Detection using Transformer-Based Models. - Sergio Damián; David Vázquez 003; Edgardo Manuel Felipe Riverón; Cornelio Yáñez-Márquez (IberLEF@SEPLN, 2024)

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

Data Stream Classification Based on an Associative Classifier. - Karen Pamela López-Medina; Abril Valeria Uriarte-Arcia; Cornelio Yáñez-Márquez (Computación y Sistemas (CyS), 2024)

MiniCovid-Unet: CT-Scan Lung Images Segmentation for COVID-19 Identification. - Alvaro Salazar-Urbina; Elías Ventura-Molina; Cornelio Yáñez-Márquez; Mario Aldape-Pérez; Itzamá López-Yáñez (Computación y Sistemas (CyS), 2024)

An Auto-Tuning Goal-Oriented Dynamic Feature Selection for Non-Stationary Message Stream Classification Using a Multi-Agent Approach. - Wenny Hojas-Mazo; Mailyn Moreno-Espino; Francisco Maciá Pérez; José Vicente Berná-Martínez; Cornelio Yáñez-Márquez (IEEE Access, 2025)

Effect of agriculture-related dataset complexity on classical machine learning and deep learning classifiers performance. - Gerardo Acevedo-Sánchez; Antonio Alarcón Paredes; Cornelio Yáñez-Márquez (Comput. Electron. Agric., 2025)

Spherical model for Minimalist Machine Learning paradigm in handling complex databases. - Raúl Jiménez-Cruz; Cornelio Yáñez-Márquez; Miguel González-Mendoza 001; Yenni Villuendas-Rey; Raúl Monroy (Frontiers Artif. Intell., 2025)

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)

Minimalist Machine Learning: Binary Classification of Medical Datasets with Matrix Transformations. - José-Luis Solorio-Ramírez; Oscar Camacho-Nieto; Cornelio Yáñez-Márquez (J. Adv. Comput. Intell. Intell. Informatics, 2025)

A proactive approach for random forest. - Nayma Cepero-Pérez; Mailyn Moreno-Espino; Eduardo F. Morales 001; Ariel López González; Cornelio Yáñez-Márquez; Juan Pavón (Appl. Intell., 2025)