Multiple Kernel Support Vector Machine Problem Is NP-Complete. - Luis Carlos Padierna; Juan Martín Carpio Valadez; María del Rosario Baltazar-Flores; Héctor J. Puga; Héctor J. Fraire H. (MICAI (2), 2014)

Evolution of Kernels for Support Vector Machine Classification on Large Datasets. - Luis Carlos Padierna; Juan Martín Carpio; Rosario Baltazar; Héctor José Puga Soberanes; Héctor Joaquín Fraire Huacuja (Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, 2015)

Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms. - Luis Carlos Padierna; Martín Carpio; Alfonso Rojas Domínguez; Héctor Puga; Rosario Baltazar; Héctor J. Fraire H. (Nature-Inspired Design of Hybrid Intelligent Systems, 2017)

Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis. - Alfonso Rojas Domínguez; Luis Carlos Padierna; Juan Martín Carpio Valadez; Héctor José Puga Soberanes; Héctor J. Fraire H. (IEEE Access, 2018)

A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family. - Luis Carlos Padierna; Martín Carpio; Alfonso Rojas Domínguez; Héctor Puga; Héctor J. Fraire H. (Pattern Recognit., 2018)

Phase Unwrapping for 3D Object Reconstruction by means of Population-based Metaheuristics. - Daniel Duarte-Carrera; Alfonso Rojas Domínguez; Luis Carlos Padierna (Res. Comput. Sci., 2018)

Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers. - Adán Godínez-Bautista; Luis Carlos Padierna; Alfonso Rojas Domínguez; Héctor Puga; Martín Carpio (Fuzzy Logic Augmentation of Neural and Optimization Algorithms, 2018)

Biomedical Classification Problems Automatically Solved by Computational Intelligence Methods. - Luis Carlos Padierna; Carlos Villaseñor Mora; Silvia Alejandra Lopez Juarez (IEEE Access, 2020)

Machine Learning for Condensed Matter Physics. - Edwin A. Bedolla-Montiel; Luis Carlos Padierna; Ramón Castañeda-Priego (CoRR, 2020)

Machine Learning for the Analysis of Conductivity From Mono Frequency Electrical Impedance Mammography as a Breast Cancer Risk Factor. - Rosario Lissiet Romero Coripuna; Delia Irazú Hernández Farías; Blanca Murillo-Ortiz; Luis Carlos Padierna; Teodoro Córdova-Fraga (IEEE Access, 2021)

OASIS2 images for dementia classification by machine learning. - Georgina Waldo-Benítez; Luis Carlos Padierna; Pablo Ceron; Modesto A. Sosa (IEEE DataPort, 2021)

Evolutionary optimization of the Verlet closure relation for the hard-sphere and square-well fluids. - Edwin Bedolla; Luis Carlos Padierna; Ramón Castañeda-Priego (CoRR, 2022)

Datasets, Results and Figures about Biomedical Classification Problems. - Luis Carlos Padierna (IEEE DataPort, 2022)

Traductor inglés-español por reconocimiento de texto. - Miriam Calderón Reyes; Daniela Jiménez Pano; Norma Angélica Márquez Sulca; Luis Carlos Padierna-García (Res. Comput. Sci., 2024)

Automatic Processing of Chest X-Rays to Identify Tuberculosis. - Omar Villalpando-Vargas; Aron Hernández-Trinidad; Blanca Olivia Murillo-Ortiz; Rafael Guzmán-Cabrera; Luis Carlos Padierna; Teodoro Córdova-Fraga (Res. Comput. Sci., 2024)

Clasificación de demencia usando métodos clásicos de Machine Learning. - Georgina Concepción Waldo-Benítez; Luis Carlos Padierna-García; Modesto Antonio Sosa-Aquino; Pablo Victor Cerón-Ramírez (Res. Comput. Sci., 2024)

Dementia classification from magnetic resonance images by machine learning. - Georgina Waldo-Benítez; Luis Carlos Padierna; Pablo Ceron; Modesto A. Sosa (Neural Comput. Appl., 2024)