R. Magallanes-Quintanar

发表

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013–2014

Nubia M. Chávez-Lamas, J. Celaya-Padilla, C. Galván-Tejada, 2018, Bioengineering.

Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients

Nubia M. Chávez-Lamas, J. Celaya-Padilla, C. Galván-Tejada, 2019, Diagnostics.

Pan evaporation analysis in central México: Trends, self-affinity and important frequencies

R. Valdez-Cepeda, R. Magallanes-Quintanar, F. Blanco-Macías, 2011 .

Cattle Grazing Exclusion Increases Basal, Crown and Mulch Cover in the Sierra de Órganos National Park, Sombrerete, Zacatecas, Mexico

R. Valdez-Cepeda, R. Magallanes-Quintanar, F. Blanco-Macías, 2021 .

Preliminary compositional nutrient diagnosis norms for cowpea (Vigna unguiculata (L.) Walp.) grown on desert calcareous soil

R. Valdez-Cepeda, R. Magallanes-Quintanar, E. Troyo-Diéguez, 2004, Plant and Soil.

Narx Neural Networks Models for Prediction of Standardized Precipitation Index in Central Mexico

C. Galván-Tejada, J. Galván-Tejada, H. Gamboa-Rosales, 2022, Atmosphere.

Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, 2020, Applied Sciences.

Soil Nitrogen Fertilization Effects on Phytoextraction of Cadmium and Lead by Tobacco (Nicotiana tabacum L.)

R. Valdez-Cepeda, R. Magallanes-Quintanar, H. Rodríguez-Fuentes, 2006 .

Relationship between precipitation anomalies and multivariate ENSO index through wavelet coherence analysis

C. Galván-Tejada, J. Galván-Tejada, R. Valdez-Cepeda, 2020, Atmósfera.

COMPARISON AMONG BOLTZMANN AND CUBIC POLYNOMIAL MODELS FOR ESTIMATION OF COMPOSITIONAL NUTRIENT DIAGNOSIS STANDARDS: OPUNTIA FICUS-INDICA L. CASE

R. Valdez-Cepeda, R. Magallanes-Quintanar, Edwin A. Hernández-Caraballo, 2013 .

Compositional Nutrient Diagnosis In Nopal (Opuntia ficus-indica) ♦

R. Valdez-Cepeda, R. Magallanes-Quintanar, G. Palacio, 2004 .

Compositional nutrient diagnosis and main nutrient interactions in yellow pepper grown on desert calcareous soils

R. Valdez-Cepeda, R. Magallanes-Quintanar, L. F. Beltrán-Morales, 2004 .

Nutritional reference values for Opuntia ficus‐indica determined by means of the boundary‐line approach

R. Valdez-Cepeda, R. Magallanes-Quintanar, E. Olivares-Sáenz, 2010 .

Comparison between CND norms and boundary-line approach nutrient standards: Opuntia ficus-indica L. case

R. Valdez-Cepeda, R. Magallanes-Quintanar, E. Olivares-Sáenz, 2009 .

Compositional Nutrient Diagnosis in Maize Grown in a Calcareous Soil

R. Valdez-Cepeda, R. Magallanes-Quintanar, E. Olivares-Sáenz, 2006 .

Fruit weight and number of fruits per cladode depend on fruiting cladode fresh and dry weight in Opuntia ficus-indica (L.) Miller variety ‘Rojo pelón’

R. Valdez-Cepeda, R. Magallanes-Quintanar, F. Blanco-Macías, 2013 .

General Linear Models for Pain Prediction in Knee Osteoarthritis : Data from the Osteoarthritis Initiative

J. G. Arceo-Olague, J. Celaya-Padilla, C. Galván-Tejada, 2018 .

Opuntia ficus-indica (L.) Mill. yield depends on nutrients and nutrient ratios

R. Magallanes-Quintanar, E. Troyo-Diéguez, F. Blanco-Macías, 2011 .

INTERACCIONES NUTRIMENTALES Y NORMAS DE DIAGNÓSTICO DE NUTRIMENTO COMPUESTO EN UN CULTIVAR SEMIDOMESTICADO DE Capsicum frutescens

J. García-Hernández, R. Magallanes-Quintanar, R. D. Valdez-Cepeda, 2007 .

Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods

Manuel A. Soto-Murillo, J. Celaya-Padilla, C. Galván-Tejada, 2021, Healthcare.

Comparison of Night, Day and 24 h Motor Activity Data for the Classification of Depressive Episodes

Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales, Rafael Magallanes-Quintanar, 2020, Diagnostics.

An Analysis of Audio Features to Develop a Human Activity Recognition Model Using Genetic Algorithms, Random Forests, and Neural Networks

Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, 2016, Mob. Inf. Syst..

TENDENCIAS DE TEMPERATURAS EXTREMAS EN ZACATECAS, MÉXICO* EXTREME TEMPERATURE TRENDS IN ZACATECAS, MEXICO

R. Valdez-Cepeda, R. Magallanes-Quintanar, J. L. García-Hernández, 2011 .

Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2020, Mob. Inf. Syst..

Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation

C. Galván-Tejada, H. Gamboa-Rosales, M. Cruz, 2023, Journal of diabetes research.

Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, 2019, Mob. Inf. Syst..

Scale-Invariance of Normalized Yearly Mean Grain Yield Anomaly Series

Gerardo Miramontes de León, Blanca Mendoza, Ricardo David Valdez-Cepeda, 2007, Adv. Complex Syst..

Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks

Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, 2020, ISPRS Int. J. Geo Inf..

Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation

Irma E. Gonzalez-Curiel, J. Celaya-Padilla, J. Galván-Tejada, 2023, Diseases.