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ORCIDLuis Carlos Padierna
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2020 – today
- 2024
[j8]Georgina Waldo-Benítez, Luis Carlos Padierna
, Pablo Ceron, Modesto A. Sosa:
Dementia classification from magnetic resonance images by machine learning. Neural Comput. Appl. 36(6): 2653-2664 (2024)- [j7]Omar Villalpando-Vargas, Aron Hernández-Trinidad, Blanca Olivia Murillo-Ortiz, Rafael Guzmán-Cabrera, Luis Carlos Padierna, Teodoro Córdova-Fraga:
Automatic Processing of Chest X-Rays to Identify Tuberculosis. Res. Comput. Sci. 153(3): 13-18 (2024) - [j6]Georgina Concepción Waldo-Benítez, Luis Carlos Padierna-García, Modesto Antonio Sosa-Aquino, Pablo Victor Cerón-Ramírez:
Clasificación de demencia usando métodos clásicos de Machine Learning. Res. Comput. Sci. 153(4): 5-12 (2024) - 2022
- [d2]Luis Carlos Padierna:
Datasets, Results and Figures about Biomedical Classification Problems. IEEE DataPort, 2022
- [i2]Edwin Bedolla, Luis Carlos Padierna, Ramón Castañeda-Priego:
Evolutionary optimization of the Verlet closure relation for the hard-sphere and square-well fluids. CoRR abs/2205.07104 (2022) - 2021
- [j5]Rosario Lissiet Romero Coripuna, Delia Irazú Hernández Farías, Blanca Murillo-Ortiz, Luis Carlos Padierna, Teodoro Córdova-Fraga:
Machine Learning for the Analysis of Conductivity From Mono Frequency Electrical Impedance Mammography as a Breast Cancer Risk Factor. IEEE Access 9: 152397-152407 (2021) - [d1]Georgina Waldo-Benítez, Luis Carlos Padierna, Pablo Ceron, Modesto A. Sosa:
OASIS2 images for dementia classification by machine learning. IEEE DataPort, 2021 - 2020
- [j4]Luis Carlos Padierna, Carlos Villaseñor Mora, Silvia Alejandra Lopez Juarez:
Biomedical Classification Problems Automatically Solved by Computational Intelligence Methods. IEEE Access 8: 101104-101117 (2020) - [i1]Edwin A. Bedolla-Montiel, Luis Carlos Padierna, Ramón Castañeda-Priego:
Machine Learning for Condensed Matter Physics. CoRR abs/2005.14228 (2020)
2010 – 2019
- 2018
- [j3]Alfonso Rojas Domínguez, Luis Carlos Padierna, Juan Martín Carpio Valadez, Héctor José Puga Soberanes, Héctor J. Fraire H.:
Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis. IEEE Access 6: 7164-7176 (2018) - [j2]Luis Carlos Padierna, Martín Carpio, Alfonso Rojas Domínguez, Héctor Puga, Héctor J. Fraire H.:
A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family. Pattern Recognit. 84: 211-225 (2018) - [j1]Daniel Duarte-Carrera, Alfonso Rojas Domínguez, Luis Carlos Padierna:
Phase Unwrapping for 3D Object Reconstruction by means of Population-based Metaheuristics. Res. Comput. Sci. 147(11): 21-30 (2018) - [p3]Adán Godínez-Bautista, Luis Carlos Padierna, Alfonso Rojas Domínguez, Héctor Puga, Martín Carpio:
Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers. Fuzzy Logic Augmentation of Neural and Optimization Algorithms 2018: 115-130 - 2017
- [p2]Luis Carlos Padierna, Martín Carpio, Alfonso Rojas Domínguez, Héctor Puga, Rosario Baltazar, Héctor J. Fraire H.:
Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms. Nature-Inspired Design of Hybrid Intelligent Systems 2017: 787-800 - 2015
- [p1]Luis Carlos Padierna, Juan Martín Carpio, Rosario Baltazar, Héctor José Puga Soberanes, Héctor Joaquín Fraire Huacuja:
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 2015: 127-137 - 2014
- [c1]Luis Carlos Padierna, Juan Martín Carpio Valadez, María del Rosario Baltazar-Flores, Héctor J. Puga, Héctor J. Fraire H.:
Multiple Kernel Support Vector Machine Problem Is NP-Complete. MICAI (2) 2014: 152-159
Coauthor Index
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