| Machine learning for condensed matter physics E Bedolla, LC Padierna, R Castaneda-Priego Journal of Physics: Condensed Matter 33 (5), 053001, 2020 | 100 | 2020 |
| Optimal Hyper-Parameter Tuning of SVM Classifiers with Application to Medical Diagnosis A Rojas-Domínguez, LC Padierna, JM Carpio, HJ Puga, HJ Fraire IEEE ACCESS 6, 7164-7176, 2017 | 87 | 2017 |
| A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family LC Padierna, M Carpio, A Rojas-Domínguez, H Puga, H Fraire Pattern Recognition 84, 211-225, 2018 | 77 | 2018 |
| Hyper-parameter tuning for support vector machines by estimation of distribution algorithms LC Padierna, M Carpio, A Rojas, H Puga, R Baltazar, H Fraire Nature-inspired design of hybrid intelligent systems, 787-800, 2017 | 44 | 2017 |
| Classification method of peripheral arterial disease in patients with type 2 diabetes mellitus by infrared thermography and machine learning LC Padierna, LF Amador-Medina, BO Murillo-Ortiz, C Villaseñor-Mora Infrared Physics & Technology 111, 103531, 2020 | 19 | 2020 |
| Auditory impairment in H‐ABC tubulinopathy A Lopez‐Juarez, A Gonzalez‐Vega, A Kleinert‐Altamirano, V Piazza, ... Journal of Comparative Neurology 529 (5), 957-968, 2021 | 11 | 2021 |
| Machine learning for the analysis of conductivity from mono frequency electrical impedance mammography as a breast cancer risk factor RLR Coripuna, DIH Farías, BOM Ortiz, LC Padierna, TC Fraga IEEE Access 9, 152397-152407, 2021 | 5 | 2021 |
| Bio-inspired metaheuristics for hyper-parameter tuning of support vector machine classifiers A Godínez-Bautista, LC Padierna, A Rojas-Domínguez, H Puga, M Carpio Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical …, 2018 | 4 | 2018 |
| Biomedical classification problems automatically solved by computational intelligence methods LC Padierna, C Villasenor-Mora, SAL Juarez IEEE Access 8, 101104-101117, 2020 | 3 | 2020 |
| Evolutionary optimization of the Verlet closure relation for the hard-sphere and square-well fluids E Bedolla, LC Padierna, R Castañeda-Priego Physics of Fluids 34 (7), 2022 | 2 | 2022 |
| Multiple Kernel Support Vector Machine Problem Is NP-Complete LC Padierna, JM Carpio, M del Rosario Baltazar, HJ Puga, HJ Fraire Nature-Inspired Computation and Machine Learning: 13th Mexican International …, 2014 | 2 | 2014 |
| Kinetic parameter determination for depolymerization of biomass by inverse modeling and metaheuristics D Aztatzi-Pluma, S Figueroa-Gerstenmaier, LC Padierna, ... Processes 8 (7), 836, 2020 | 1 | 2020 |
| Evolution of Kernels for Support Vector Machine Classification on Large Datasets LC Padierna, M Carpio, R Baltazar, HJ Puga, HJ Fraire Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and …, 2015 | 1 | 2015 |
| Dementia classification from magnetic resonance images by machine learning G Waldo-Benítez, LC Padierna, P Ceron, MA Sosa Neural Computing and Applications 36 (6), 2653-2664, 2024 | | 2024 |
| Machine Learning in Magnetic Resonance Images of Glioblastoma: A Review. G Waldo-Benítez, LC Padierna, P Cerón, MA Sosa Current Medical Imaging, 2024 | | 2024 |
| Automatic image processing to identify post-COVID conditions by using deep learning AH Trinidad, TC Fraga, LCP García, JLL Hernández, BOM Ortiz, ... Revista Mexicana de Física 69 (6 Nov-Dec), 061101 1–7-061101 1–7, 2023 | | 2023 |
| Breast detection in X-ray mastography with machine learning techniques LF Parra-Sánchez, UI Álvarez-Cárdenas, ADJ Salazar, BOM Ortiz, ... JÓVENES EN LA CIENCIA 21, 1-7, 2023 | | 2023 |
| Impacto de Covid19 en estudiantes de la Universidad de Guanajuato ADJ Salazar, BGB Guerrero, DDG Hernández, SR Sánchez, IH Lares, ... JÓVENES EN LA CIENCIA 16, 2022 | | 2022 |
| Clasificador Asociativo de Patrones en GeoGebra. LCP García, MBG Nava, AUFT González, PGP Campos Pistas Educativas 33 (104), 2018 | | 2018 |
