Luis Carlos Padierna

According to our database, Luis Carlos Padierna authored at least 18 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Novel Antibacterial Susceptibility Test From Microscopic Images by Deep Learning.

Luis Fernando Parra-Sánchez, Solange I. Rivera-Manrique, Arturo González Vega, Luis Carlos Padierna

IEEE Access, 2025

2024

Dementia classification from magnetic resonance images by machine learning.

Georgina Waldo-Benítez, Luis Carlos Padierna, Pablo Ceron, Modesto A. Sosa

Neural Comput. Appl., February, 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

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

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

2022

Datasets, Results and Figures about Biomedical Classification Problems.

Luis Carlos Padierna

Dataset, May, 2022

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

2021

OASIS2 images for dementia classification by machine learning.

Georgina Waldo-Benítez, Luis Carlos Padierna, Pablo Ceron, Modesto A. Sosa

Dataset, November, 2021

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

2020

Machine Learning for Condensed Matter Physics.

Edwin A. Bedolla-Montiel, Luis Carlos Padierna, Ramón Castañeda-Priego

CoRR, 2020

Biomedical Classification Problems Automatically Solved by Computational Intelligence Methods.

Luis Carlos Padierna, Carlos Villaseñor Mora, Silvia Alejandra Lopez Juarez

IEEE Access, 2020

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

Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 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

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

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

2017

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.

Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

2015

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

Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

2014

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.

Proceedings of the Nature-Inspired Computation and Machine Learning, 2014