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ORCIDJorge I. Galván-Tejada
Jorge Issac Galván-Tejada
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2020 – today
- 2025
[j30]Samara Acosta-Jiménez, Miguel M. Mendoza-Mendoza, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Antonio García-Domínguez, Hamurabi Gamboa-Rosales, Roberto Solís-Robles:
Detection of ovarian cancer using a methodology with feature extraction and selection with genetic algorithms and machine learning. Netw. Model. Anal. Health Informatics Bioinform. 14(1): 3 (2025)- 2024
- [c30]Eduardo de Avila-Armenta, José M. Celaya-Padilla, Robert B. A. Adamson, Gamaliel Moreno-Chávez, Antonio Martínez-Torteya, Manuel A. Soto Murillo, Diana L. Jácome-Cadena, Jorge I. Galván-Tejada, M. Hazael Guerrero-Flores, Miguel A. Cid-Baez:
Ultrasound Bone Surface Segmentation for Hip Joint Arthroscopy: Evaluating a Local Phase-Based and a Rigid Object Filtering in a Simulated Environment. MCPR 2024: 264-273 - 2023
- [j29]Edgar García-Quezada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, Irma E. Gonzalez-Curiel, Jorge I. Galván-Tejada:
Hacia la predicción de pacientes con diabetes: Comparación de algoritmos de aprendizaje automático. Res. Comput. Sci. 152(6): 299-311 (2023) - [j28]Carlos H. Espino-Salinas
, Huizilopoztli Luna-García, José M. Celaya-Padilla, Jorge A. Morgan-Benita, Cesar Gonzalo Vera-Vásquez, Wilson J. Sarmiento, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Klinge Orlando Villalba-Condori:
Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms. Sensors 23(2): 784 (2023) - [j27]Luis C. Reveles-Gomez, Huizilopoztli Luna-García, José M. Celaya-Padilla, Cristian Barría Huidobro, Hamurabi Gamboa-Rosales, Roberto Solis-Robles, José G. Arceo-Olague, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, David Rondon, Klinge Orlando Villalba-Condori:
Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks. Sensors 23(17): 7559 (2023) - [c29]Jacqueline S. Ortiz-Letechipia, Ricardo Villagrana-Bañuelos, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla:
Evaluation of Four Classification Algorithms Applied to Detection of Poisonous Mushrooms. UCAmI (2) 2023: 270-278 - 2022
- [j26]Man Kit Liao-Li, José María Celaya-Padilla, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales, Miguel Cruz:
Detección de nefropatía como complicación en pacientes diabéticos de tipo II mediante el uso de la regresión logística. Res. Comput. Sci. 151(6): 133-144 (2022) - [j25]Isamar Aparicio-Montelongo, José M. Celaya-Padilla, Huizilopoztli Luna-García, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales:
Predicción de enfermedades cardíacas derivadas de diabetes, mediante algoritmos genéticos: caso de estudio. Res. Comput. Sci. 151(6): 159-172 (2022) - [j24]Julieta G. Rodríguez-Ruiz, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla:
Aprendizaje automático para identificar episodios de esquizofrenias tratadas con clozapina. Res. Comput. Sci. 151(8): 157-166 (2022) - [c28]Wilder González-Díaz, Huizilopoztli Luna-García, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, César A. Collazos:
Design of Mobile Application Prototype for the care and monitoring of patients with Multiple Sclerosis. HCI-COLLAB 2022: 26-37 - [c27]Vanessa Alcalá-Rmz, Karen E. Villagrana-Bañuelos, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos Eric Galván-Tejada:
Convolutional Neural Network for Monkeypox Detection. UCAmI 2022: 89-100 - [c26]Karen E. Villagrana-Bañuelos, Vanessa Alcalá-Rmz, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos Eric Galván-Tejada:
Towards Esophagitis and Barret's Esophagus Endoscopic Images Classification: An Approach with Deep Learning Techniques. UCAmI 2022: 169-180 - [c25]Ricardo Villagrana-Bañuelos, Karen E. Villagrana-Bañuelos, Manuel A. Soto Murillo, Carlos Eric Galván-Tejada, José María Celaya-Padilla, Jorge Issac Galván-Tejada:
Comparison of Three Supervised Machine Learning Classification Methods for the Diagnosis of PD. UCAmI 2022: 314-319 - 2021
- [j23]María de la Luz Escobar, José Ismael de la Rosa Vargas, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla:
Aprendizaje automático para la detección de cáncer de mama. Res. Comput. Sci. 150(5): 217-230 (2021) - [j22]Mario Daniel Cervantes-Guerrero, Miguel Cruz, Adan Valladares-Salgado, Jorge Issac Galván-Tejada, Tania A. Gutiérrez-García, Carlos Eric Galván-Tejada:
Clasificación de complicaciones en diabetes mellitus mediante algoritmos genéticos. Res. Comput. Sci. 150(5): 401-411 (2021) - [j21]José M. Celaya-Padilla, Jonathan S. Romero-González, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Huizilopoztli Luna-García, José G. Arceo-Olague, Nadia Karina Gamboa-Rosales, Claudia Sifuentes-Gallardo, Antonio Martínez-Torteya, José Ismael de la Rosa Vargas, Hamurabi Gamboa-Rosales:
In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection. Sensors 21(22): 7752 (2021) - [c24]Maximiliano Guzman-Fernandez, Huizilopoztli Luna-García, César A. Collazos, Wilson J. Sarmiento, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, Misael Zambrano-de la Torre, J. Guadalupe Lara-Cisneros:
Desktop Application for Water Quality Prediction and Monitoring System Using ISO 9241-210 and Machine Learning Techniques. HCI-COLLAB 2021: 44-57 - [c23]Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chávez-Lamas, Karen E. Villagrana-Bañuelos, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales:
Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest. MCPR 2021: 325-334 - 2020
- [j20]Carlos Eric Galván-Tejada, Laura A. Zanella-Calzada, Antonio García-Domínguez, Rafael Magallanes-Quintanar, Huizilopoztli Luna-García, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Alberto Vélez-Rodríguez, Hamurabi Gamboa-Rosales:
Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks. ISPRS Int. J. Geo Inf. 9(4): 226 (2020) - [j19]Antonio García-Domínguez, Carlos Eric Galván-Tejada, Laura A. Zanella-Calzada, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Huizilopoztli Luna-García, Rafael Magallanes-Quintanar:
Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound. Mob. Inf. Syst. 2020: 8617430:1-8617430:12 (2020) - [j18]Julieta G. Rodríguez-Ruiz, Carlos Eric Galván-Tejada, Sodel Vázquez-Reyes, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales:
Classification of Depressive Episodes Using Nighttime Data; a Multivariate and Univariate Analysis. Program. Comput. Softw. 46(8): 689-698 (2020) - [j17]Antonio García-Domínguez, Carlos Eric Galván-Tejada, Laura A. Zanella-Calzada, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Huizilopoztli Luna-García, José G. Arceo-Olague, Rafael Magallanes-Quintanar:
Deep artificial neural network based on environmental sound data for the generation of a children activity classification model. PeerJ Comput. Sci. 6: e308 (2020) - [j16]Andreé M. Nava-García, Huizilopoztli Luna-García, José M. Celaya-Padilla, Manuel Haro-Márquez, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Luis Alberto Flores-Chaires:
Desarrollo de un Modelo 3D para un Sistema Infotainment. Rev. Colomb. de Computación 21(2): 56-64 (2020) - [j15]José Jimenez Peralta, Jaime del Angel, Alberto Ochoa, Antonio García-Domínguez, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada:
Creation and Implementation of a Serious Game to Detect Depression in Young People and Children. Res. Comput. Sci. 149(7): 53-64 (2020) - [j14]Karen E. Villagrana-Bañuelos, Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada:
Evaluación de cuatro clasificadores para el reconocimiento de síndrome de muerte súbita del lactante utilizando ácidos grasos de cadena corta como fuente de información. Res. Comput. Sci. 149(8): 1061-1071 (2020) - [c22]Karen E. Villagrana-Bañuelos, Laura A. Zanella-Calzada, Irma E. Gonzalez-Curiel, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada:
Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach. MICAI (1) 2020: 235-245
2010 – 2019
- 2019
- [j13]Carlos Eric Galván-Tejada, Laura A. Zanella-Calzada, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, Nubia M. Chávez-Lamas, Ma. del Carmen Gracia-Cortés, Rafael Magallanes-Quintanar, José M. Celaya-Padilla:
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. Mob. Inf. Syst. 2019: 8269695:1-8269695:12 (2019) - [j12]Susana L. Pacheco-González, Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chávez-Lamas, J. Francisco Rivera-Gómez, Jorge I. Galván-Tejada:
Evaluation of Five Classifiers for Depression Episodes Detection. Res. Comput. Sci. 148(10): 129-138 (2019) - [c21]Jonathan Samuel Romero-González, Huizilopoztli Luna-García, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José G. Arceo-Olague, Roberto Solis-Robles:
Alcohol Detection in a Car's Cab Using MQ3 and First Approaches to Sensing: Laboratory Tests. HCI-COLLAB 2019: 73-84 - [c20]William Castañeda Almaraz, Huizilopoztli Luna-García, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Ricardo Mendoza-González, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, Joyce S. A. Lozano-Aguilar, Roberto Solís-Robles:
Children Detection on Passenger Seat Using UCD and IDP: An Initial Prototype. HCI-COLLAB 2019: 138-149 - [c19]M. Hazael Guerrero-Flores, Huizilopoztli Luna-García, Carlos Eric Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Alfredo Mendoza-González, Vanessa Alcalá-Rmz, Adan Valladares-Salgado, Miguel Cruz:
Prevention of Diabetes Mellitus Through the Use of Mobile Technology (mHealth): Case Study. HCI-COLLAB 2019: 299-313 - [c18]Antonio García-Domínguez, Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla:
Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection. MCPR 2019: 398-407 - 2018
- [j11]Amita Nandal, Arvind Dhaka, Hamurabi Gamboa-Rosales, Ninoslav Marina, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, Arturo Moreno-Báez, José M. Celaya-Padilla, Huizilopoztli Luna-García:
Sensitivity and Variability Analysis for Image Denoising Using Maximum Likelihood Estimation of Exponential Distribution. Circuits Syst. Signal Process. 37(9): 3903-3926 (2018) - [j10]Amita Nandal, Hamurabi Gamboa-Rosales, Arvind Dhaka, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, Francisco Javier Martínez-Ruiz, Cesar Guzman-Valdivia:
Image Edge Detection Using Fractional Calculus with Feature and Contrast Enhancement. Circuits Syst. Signal Process. 37(9): 3946-3972 (2018) - [j9]Carlos Eric Galván-Tejada, Francisco Eneldo López-Monteagudo, Omero Alonso-González, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Rafael Magallanes-Quintanar, Laura A. Zanella-Calzada:
A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition. ISPRS Int. J. Geo Inf. 7(3): 81 (2018) - [j8]Huizilopoztli Luna-García, Alfredo Mendoza-González, Ricardo Mendoza-González, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Carlos Eric Galván-Tejada, José G. Arceo-Olague, Arturo Moreno-Báez, Omero Alonso-González, Francisco Eneldo López-Monteagudo, Roberto Solis-Robles, Jaime Iván López-Veyna:
Analyzing Typical Mobile Gestures in mHealth Applications for Users with Down Syndrome. Mob. Inf. Syst. 2018: 2830851:1-2830851:9 (2018) - [j7]Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chávez-Lamas, María del Carmen García-Cortez, Jorge I. Galván-Tejada:
An analysis of Demographic and Dietary Data with an Oral Health Approach: A Preliminary Study using Genetic Algorithms. Res. Comput. Sci. 147(12): 151-160 (2018) - [j6]José M. Celaya-Padilla, Carlos Eric Galván-Tejada, Francisco Eneldo López-Monteagudo, Omero Alonso-González, Arturo Moreno-Báez, Antonio Martínez-Torteya, Jorge I. Galván-Tejada, José G. Arceo-Olague, Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales:
Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach. Sensors 18(2): 443 (2018) - [c17]Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chávez-Lamas, Jorge I. Galván-Tejada, José M. Celaya-Padilla:
Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013-2014. CONIELECOMP 2018: 217-224 - [c16]Alfredo Mendoza-González, Huizilopoztli Luna-García, Ricardo Mendoza-González, Cristian Rusu, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, José G. Arceo-Olague, José M. Celaya-Padilla, Roberto Solis-Robles:
An Empiric Study of the Use of Mobile Technology by Users with Intellectual Disability. HCI-COLLAB 2018: 29-43 - [c15]Alfredo Mendoza-González, Huizilopoztli Luna-García, Ricardo Mendoza-González, Cristian Rusu, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, José G. Arceo-Olague, José M. Celaya-Padilla, Roberto Solis-Robles:
An Approach to Make Software Testing for Users with Down Syndrome a little more Pleasant. Interacción 2018: 5:1-5:8 - 2017
- [j5]Alejandra García-Hernández, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Perla Velasco-Elizondo, Rogelio Cárdenas-Vargas:
A Similarity Analysis of Audio Signal to Develop a Human Activity Recognition Using Similarity Networks. Sensors 17(11): 2688 (2017) - [c14]Carlos D. Luna-Gómez, Laura A. Zanella-Calzada, Miguel A. Acosta-García, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla:
Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis Initiative. Computer-Aided Diagnosis 2017: 1013445 - [c13]Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla:
Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD. MICAI (2) 2017: 294-304 - 2016
- [j4]Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, J. Ruben Delgado-Contreras, Rafael Magallanes-Quintanar, Margarita L. Martinez-Fierro, Idalia Garza-Veloz, Yamilé López-Hernández, Hamurabi Gamboa-Rosales:
An Analysis of Audio Features to Develop a Human Activity Recognition Model Using Genetic Algorithms, Random Forests, and Neural Networks. Mob. Inf. Syst. 2016: 1784101:1-1784101:10 (2016) - [c12]Luis Octavio Solís-Sánchez, José Manuel Ortiz-Rodriguez, Rodrigo Castañeda-Miranda, Maria del Rosario Martinez-Blanco, Gerardo Ornelas-Vargas, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, Celina Lizeth Castañeda-Miranda:
Identification and evaluation on diabetic foot injury by computer vision. ICIT 2016: 758-762 - [c11]Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, J. Ruben Delgado-Contreras, Vanessa Alcalá-Ramírez, Luis Octavio Solís-Sánchez:
A Dynamic Indoor Location Model for Smartphones Based on Magnetic Field: A Preliminary Approach. MCPR 2016: 260-269 - [c10]Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, Juan Ruben Delgado-Contreras, Daniel Cervantes, Manuel Ortiz:
Automated Image Registration for Knee Pain Prediction in Osteoarthritis: Data from the OAI. MCPR 2016: 335-345 - 2015
- [j3]Jorge I. Galván-Tejada, José M. Celaya-Padilla, Victor Trevino, José Gerardo Tamez-Peña:
Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAI. Comput. Math. Methods Medicine 2015: 794141:1-794141:10 (2015) - [j2]Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Selene Ramírez-Rosales, Francisco Javier Martínez-Ruiz, S. Paulizeth Maldonado-Luján:
Towards an Indoor Location System using Indoor-light as Information Source. Res. Comput. Sci. 91: 9-19 (2015) - [j1]Carlos Eric Galván-Tejada, Juan-Pablo García-Vázquez, Jorge I. Galván-Tejada, J. Ruben Delgado-Contreras, Ramón F. Brena:
Infrastructure-Less Indoor Localization Using the Microphone, Magnetometer and Light Sensor of a Smartphone. Sensors 15(8): 20355-20372 (2015) - [c9]Carlos Eric Galván-Tejada, Juan-Pablo García-Vázquez, Jorge I. Galván-Tejada, Ramón F. Brena:
Multivariate or univariate model analysis for indoor location systems: A comparison. CONIELECOMP 2015: 116-120 - [c8]Jorge I. Galván-Tejada, José M. Celaya-Padilla, Victor Treviño, José G. Tamez-Peña:
Knee osteoarthritis image registration: data from the Osteoarthritis Initiative. Computer-Aided Diagnosis 2015: 94143C - 2014
- [c7]Jorge I. Galván-Tejada, Victor Trevino, José M. Celaya-Padilla, José G. Tamez-Peña:
Knee Osteoarthritis pain prediction from X-ray imaging: Data from Osteoarthritis Initiative. CONIELECOMP 2014: 194-199 - [c6]Carlos Eric Galván-Tejada, Juan-Pablo García-Vázquez, Jorge I. Galván-Tejada, Juan Ruben Delgado-Contreras, Ramón F. Brena:
Fingerprint Time Length Reduction for Developing an Indoor Location Model for Smartphones. EUSPN/ICTH 2014: 32-39 - [c5]Juan Ruben Delgado-Contreras, Juan-Pablo García-Vázquez, Ramón F. Brena, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada:
Feature Selection for Place Classification through Environmental Sounds. EUSPN/ICTH 2014: 40-47 - [c4]Jorge I. Galván-Tejada, José M. Celaya-Padilla, Carlos Eric Galván-Tejada, Victor Trevino, José G. Tamez-Peña:
Radiological Pain Predictors in Knee Osteoarthritis, a Four Feature Selection Comparison: Data from the OAI. MCPR 2014: 351-360 - [c3]José M. Celaya-Padilla, Juan Rodríguez-Rojas, Jorge I. Galván-Tejada, Antonio Martínez-Torteya, Victor Treviño, José G. Tamez-Peña:
Bilateral image subtraction features for multivariate automated classification of breast cancer risk. Computer-Aided Diagnosis 2014: 90351T - [c2]Antonio Martínez-Torteya, Juan Rodríguez-Rojas, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Victor Treviño, José G. Tamez-Peña:
MRI signal and texture features for the prediction of MCI to Alzheimer's disease progression. Computer-Aided Diagnosis 2014: 903526 - [c1]Jorge I. Galván-Tejada, José M. Celaya-Padilla, Antonio Martínez-Torteya, Juan Rodríguez-Rojas, Victor Treviño, José G. Tamez-Peña:
Wide association study of radiological features that predict future knee OA pain: data from the OAI. Computer-Aided Diagnosis 2014: 903539
Coauthor Index
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