Comparison of convolutional neural network architectures for classification of tomato plant diseases V Maeda-Gutiérrez, CE Galvan-Tejada, LA Zanella-Calzada, ... Applied Sciences 10 (4), 1245, 2020 | 240 | 2020 |
Speed bump detection using accelerometric features: A genetic algorithm approach JM Celaya-Padilla, CE Galván-Tejada, FE López-Monteagudo, ... Sensors 18 (2), 443, 2018 | 90 | 2018 |
Persistence of COVID-19 symptoms after recovery in Mexican population CE Galván-Tejada, CF Herrera-García, S Godina-González, ... International journal of environmental research and public health 17 (24), 9367, 2020 | 85 | 2020 |
Image edge detection using fractional calculus with feature and contrast enhancement A Nandal, H Gamboa-Rosales, A Dhaka, JM Celaya-Padilla, ... Circuits, Systems, and Signal Processing 37, 3946-3972, 2018 | 80 | 2018 |
Deep artificial neural networks for the diagnostic of caries using socioeconomic and nutritional features as determinants: data from NHANES 2013–2014 LA Zanella-Calzada, CE Galván-Tejada, NM Chávez-Lamas, ... Bioengineering 5 (2), 47, 2018 | 50 | 2018 |
Current model systems for the study of preeclampsia ML Martinez-Fierro, GP Hernández-Delgadillo, V Flores-Morales, ... Experimental biology and medicine 243 (6), 576-585, 2018 | 40 | 2018 |
An analysis of audio features to develop a human activity recognition model using genetic algorithms, random forests, and neural networks CE Galván-Tejada, JI Galván-Tejada, JM Celaya-Padilla, ... Mobile Information Systems 2016 (1), 1784101, 2016 | 39 | 2016 |
Feature extraction in motor activity signal: Towards a depression episodes detection in unipolar and bipolar patients LA Zanella-Calzada, CE Galván-Tejada, NM Chávez-Lamas, ... Diagnostics 9 (1), 8, 2019 | 37 | 2019 |
Visualizing the intellectual structure and evolution of intelligent transportation systems: A systematic analysis of research themes and trends NK Gamboa-Rosales, JM Celaya-Padilla, AL Hernandez-Gutierrez, ... Sustainability 12 (21), 8759, 2020 | 34 | 2020 |
Comparison of night, day and 24 h motor activity data for the classification of depressive episodes JG Rodríguez-Ruiz, CE Galván-Tejada, LA Zanella-Calzada, ... Diagnostics 10 (3), 162, 2020 | 30 | 2020 |
“Texting & Driving” detection using deep convolutional neural networks JM Celaya-Padilla, CE Galván-Tejada, JSA Lozano-Aguilar, ... Applied Sciences 9 (15), 2962, 2019 | 28 | 2019 |
Radiogenomics analysis identifies correlations of digital mammography with clinical molecular signatures in breast cancer JG Tamez-Pena, JA Rodriguez-Rojas, H Gomez-Rueda, ... PloS one 13 (3), e0193871, 2018 | 26 | 2018 |
In-vehicle alcohol detection using low-cost sensors and genetic algorithms to aid in the drinking and driving detection JM Celaya-Padilla, JS Romero-González, CE Galvan-Tejada, ... Sensors 21 (22), 7752, 2021 | 22 | 2021 |
Feature selection using genetic algorithms for the generation of a recognition and classification of children activities model using environmental sound A García-Dominguez, CE Galván-Tejada, LA Zanella-Calzada, ... Mobile Information Systems 2020 (1), 8617430, 2020 | 22 | 2020 |
Bilateral image subtraction and multivariate models for the automated triaging of screening mammograms J Celaya-Padilla, A Martinez-Torteya, J Rodriguez-Rojas, ... BioMed research international 2015 (1), 231656, 2015 | 21 | 2015 |
Depression episodes detection in unipolar and bipolar patients: a methodology with feature extraction and feature selection with genetic algorithms using activity motion signal … CE Galvan-Tejada, LA Zanella-Calzada, H Gamboa-Rosales, ... Mobile Information Systems 2019 (1), 8269695, 2019 | 20 | 2019 |
Convolutional neural network for monkeypox detection V Alcalá-Rmz, KE Villagrana-Bañuelos, JM Celaya-Padilla, ... International conference on ubiquitous computing and ambient intelligence …, 2022 | 19 | 2022 |
Multivariate feature selection of image descriptors data for breast cancer with computer-assisted diagnosis CE Galván-Tejada, LA Zanella-Calzada, JI Galván-Tejada, ... Diagnostics 7 (1), 9, 2017 | 19 | 2017 |
Magnetization-prepared rapid acquisition with gradient echo magnetic resonance imaging signal and texture features for the prediction of mild cognitive impairment to Alzheimer … A Martinez-Torteya, J Rodriguez-Rojas, JM Celaya-Padilla, ... Journal of Medical Imaging 1 (3), 031005-031005, 2014 | 18 | 2014 |
A comparison of back propagation and generalized regression neural networks performance in neutron spectrometry M del Rosario Martínez-Blanco, G Ornelas-Vargas, LO Solís-Sánchez, ... Applied Radiation and Isotopes 117, 20-26, 2016 | 17 | 2016 |