Luis Carlos Padierna

15 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel Antibacterial Susceptibility Test From Microscopic Images by Deep Learning. IEEE Access Luis Fernando Parra-Sánchez, Solange I. Rivera-Manrique, Arturo González Vega, Luis Carlos Padierna
2025	J	`jnl`	Mammo-MX: an x-ray mammography dataset for computer-aided diagnosis of breast cancer. Mach. Learn. Sci. Technol. Blanca Olivia Murillo-Ortiz, Luis Carlos Padierna, Íñigo Alonso Perea-Campos, Luis Fernando Parra-Sánchez, Sergio Meza-Chavolla, Samuel Rivera Rivera
2024	J	`jnl`	Automatic Processing of Chest X-Rays to Identify Tuberculosis. Res. Comput. Sci. Omar Villalpando-Vargas, Aron Hernández-Trinidad, Blanca Olivia Murillo-Ortiz, Rafael Guzmán-Cabrera, Luis Carlos Padierna, Teodoro Córdova-Fraga
2024	J	`jnl`	Dementia classification from magnetic resonance images by machine learning. Neural Comput. Appl. Georgina Waldo-Benítez, Luis Carlos Padierna, Pablo Ceron, Modesto A. Sosa
2022	J	`jnl`	Evolutionary optimization of the Verlet closure relation for the hard-sphere and square-well fluids. CoRR Edwin Bedolla, Luis Carlos Padierna, Ramón Castañeda-Priego
2021	J	`jnl`	Machine Learning for the Analysis of Conductivity From Mono Frequency Electrical Impedance Mammography as a Breast Cancer Risk Factor. IEEE Access Rosario Lissiet Romero Coripuna, Delia Irazú Hernández Farías, Blanca Murillo-Ortiz, Luis Carlos Padierna, Teodoro Córdova-Fraga
2020	J	`jnl`	Biomedical Classification Problems Automatically Solved by Computational Intelligence Methods. IEEE Access Luis Carlos Padierna, Carlos Villaseñor Mora, Silvia Alejandra Lopez Juarez
2020	J	`jnl`	Machine Learning for Condensed Matter Physics. CoRR Edwin A. Bedolla-Montiel, Luis Carlos Padierna, Ramón Castañeda-Priego
2018	J	`jnl`	A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family. Pattern Recognit. Luis Carlos Padierna, Martín Carpio, Alfonso Rojas Domínguez, Héctor Puga, Héctor J. Fraire H.
2018	—	`ch.`	Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers. Fuzzy Logic Augmentation of Neural and Optimization Algorithms Adán Godínez-Bautista, Luis Carlos Padierna, Alfonso Rojas Domínguez, Héctor Puga, Martín Carpio
2018	J	`jnl`	Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis. IEEE Access Alfonso Rojas Domínguez, Luis Carlos Padierna, Juan Martín Carpio Valadez, Héctor José Puga Soberanes, Héctor J. Fraire H.
2018	J	`jnl`	Phase Unwrapping for 3D Object Reconstruction by means of Population-based Metaheuristics. Res. Comput. Sci. Daniel Duarte-Carrera, Alfonso Rojas Domínguez, Luis Carlos Padierna
2017	—	`ch.`	Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms. Nature-Inspired Design of Hybrid Intelligent Systems Luis Carlos Padierna, Martín Carpio, Alfonso Rojas Domínguez, Héctor Puga, Rosario Baltazar, Héctor J. Fraire H.
2015	—	`ch.`	Evolution of Kernels for Support Vector Machine Classification on Large Datasets. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization Luis Carlos Padierna, Juan Martín Carpio, Rosario Baltazar, Héctor José Puga Soberanes, Héctor Joaquín Fraire Huacuja
2014	—	`conf`	Multiple Kernel Support Vector Machine Problem Is NP-Complete. MICAI (2) Luis Carlos Padierna, Juan Martín Carpio Valadez, María del Rosario Baltazar-Flores, Héctor J. Puga, Héctor J. Fraire H.