Knee Osteoarthritis pain prediction from X-ray imaging: Data from Osteoarthritis Initiative. - Jorge I. Galván-Tejada; Victor Trevino; José M. Celaya-Padilla; José G. Tamez-Peña (CONIELECOMP, 2014)

Feature Selection for Place Classification through Environmental Sounds. - Juan Ruben Delgado-Contreras; Juan-Pablo García-Vázquez; Ramón F. Brena; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada (EUSPN/ICTH, 2014)

Fingerprint Time Length Reduction for Developing an Indoor Location Model for Smartphones. - Carlos Eric Galván-Tejada; Juan-Pablo García-Vázquez; Jorge I. Galván-Tejada; Juan Ruben Delgado-Contreras; Ramón F. Brena (EUSPN/ICTH, 2014)

Radiological Pain Predictors in Knee Osteoarthritis, a Four Feature Selection Comparison: Data from the OAI. - Jorge I. Galván-Tejada; José M. Celaya-Padilla; Carlos Eric Galván-Tejada; Victor Trevino; José G. Tamez-Peña (MCPR, 2014)

Bilateral image subtraction features for multivariate automated classification of breast cancer risk. - José M. Celaya-Padilla; Juan Rodríguez-Rojas; Jorge I. Galván-Tejada; Antonio Martínez-Torteya; Victor Treviño; José G. Tamez-Peña (Computer-Aided Diagnosis, 2014)

Wide association study of radiological features that predict future knee OA pain: data from the OAI. - Jorge I. Galván-Tejada; José M. Celaya-Padilla; Antonio Martínez-Torteya; Juan Rodríguez-Rojas; Victor Treviño; José G. Tamez-Peña (Computer-Aided Diagnosis, 2014)

MRI signal and texture features for the prediction of MCI to Alzheimer's disease progression. - Antonio Martínez-Torteya; Juan Rodríguez-Rojas; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Victor Treviño; José G. Tamez-Peña (Computer-Aided Diagnosis, 2014)

Multivariate or univariate model analysis for indoor location systems: A comparison. - Carlos Eric Galván-Tejada; Juan-Pablo García-Vázquez; Jorge I. Galván-Tejada; Ramón F. Brena (CONIELECOMP, 2015)

Knee osteoarthritis image registration: data from the Osteoarthritis Initiative. - Jorge I. Galván-Tejada; José M. Celaya-Padilla; Victor Treviño; José G. Tamez-Peña (Computer-Aided Diagnosis, 2015)

Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAI. - Jorge I. Galván-Tejada; José M. Celaya-Padilla; Victor Trevino; José Gerardo Tamez-Peña (Comput. Math. Methods Medicine, 2015)

Towards an Indoor Location System using Indoor-light as Information Source. - Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Selene Ramírez-Rosales; Francisco Javier Martínez-Ruiz; S. Paulizeth Maldonado-Luján (Res. Comput. Sci., 2015)

Infrastructure-Less Indoor Localization Using the Microphone, Magnetometer and Light Sensor of a Smartphone. - Carlos Eric Galván-Tejada; Juan-Pablo García-Vázquez; Jorge I. Galván-Tejada; J. Ruben Delgado-Contreras; Ramón F. Brena (Sensors, 2015)

Identification and evaluation on diabetic foot injury by computer vision. - 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 (ICIT, 2016)

A Dynamic Indoor Location Model for Smartphones Based on Magnetic Field: A Preliminary Approach. - Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; José M. Celaya-Padilla; J. Ruben Delgado-Contreras; Vanessa Alcalá-Ramírez; Luis Octavio Solís-Sánchez (MCPR, 2016)

Automated Image Registration for Knee Pain Prediction in Osteoarthritis: Data from the OAI. - Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada; José M. Celaya-Padilla; Juan Ruben Delgado-Contreras; Daniel Cervantes; Manuel Ortiz (MCPR, 2016)

An Analysis of Audio Features to Develop a Human Activity Recognition Model Using Genetic Algorithms, Random Forests, and Neural Networks. - 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 (Mob. Inf. Syst., 2016)

Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis Initiative. - Carlos D. Luna-Gómez; Laura A. Zanella-Calzada; Miguel A. Acosta-García; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada; José M. Celaya-Padilla (Computer-Aided Diagnosis, 2017)

Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD. - Laura A. Zanella-Calzada; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; José M. Celaya-Padilla (MICAI (2), 2017)

A Similarity Analysis of Audio Signal to Develop a Human Activity Recognition Using Similarity Networks. - Alejandra García-Hernández; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; José M. Celaya-Padilla; Hamurabi Gamboa-Rosales; Perla Velasco-Elizondo; Rogelio Cárdenas-Vargas (Sensors, 2017)

Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013-2014. - Laura A. Zanella-Calzada; Carlos Eric Galván-Tejada; Nubia M. Chávez-Lamas; Jorge I. Galván-Tejada; José M. Celaya-Padilla (CONIELECOMP, 2018)

An Empiric Study of the Use of Mobile Technology by Users with Intellectual Disability. - 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 (HCI-COLLAB, 2018)

An Approach to Make Software Testing for Users with Down Syndrome a little more Pleasant. - 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 (Interacción, 2018)

Sensitivity and Variability Analysis for Image Denoising Using Maximum Likelihood Estimation of Exponential Distribution. - 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 (Circuits Syst. Signal Process., 2018)

Image Edge Detection Using Fractional Calculus with Feature and Contrast Enhancement. - 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 (Circuits Syst. Signal Process., 2018)

A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition. - 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 (ISPRS Int. J. Geo Inf., 2018)

Analyzing Typical Mobile Gestures in mHealth Applications for Users with Down Syndrome. - 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; et al. (Mob. Inf. Syst., 2018)

An analysis of Demographic and Dietary Data with an Oral Health Approach: A Preliminary Study using Genetic Algorithms. - Laura A. Zanella-Calzada; Carlos Eric Galván-Tejada; Nubia M. Chávez-Lamas; María del Carmen García-Cortez; Jorge I. Galván-Tejada (Res. Comput. Sci., 2018)

Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach. - 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 (Sensors, 2018)

Children Detection on Passenger Seat Using UCD and IDP: An Initial Prototype. - 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 (HCI-COLLAB, 2019)

Prevention of Diabetes Mellitus Through the Use of Mobile Technology (mHealth): Case Study. - 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 (HCI-COLLAB, 2019)

Alcohol Detection in a Car's Cab Using MQ3 and First Approaches to Sensing: Laboratory Tests. - 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 (HCI-COLLAB, 2019)

Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection. - Antonio García-Domínguez; Laura A. Zanella-Calzada; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; José M. Celaya-Padilla (MCPR, 2019)

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. - 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 (Mob. Inf. Syst., 2019)

Evaluation of Five Classifiers for Depression Episodes Detection. - Susana L. Pacheco-González; Laura A. Zanella-Calzada; Carlos Eric Galván-Tejada; Nubia M. Chávez-Lamas; J. Francisco Rivera-Gómez; Jorge I. Galván-Tejada (Res. Comput. Sci., 2019)

Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach. - Karen E. Villagrana-Bañuelos; Laura A. Zanella-Calzada; Irma E. Gonzalez-Curiel; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada (MICAI (1), 2020)

Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks. - 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 (ISPRS Int. J. Geo Inf., 2020)

Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound. - 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 (Mob. Inf. Syst., 2020)

Classification of Depressive Episodes Using Nighttime Data; a Multivariate and Univariate Analysis. - Julieta G. Rodríguez-Ruiz; Carlos Eric Galván-Tejada; Sodel Vázquez-Reyes; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales (Program. Comput. Softw., 2020)

Deep artificial neural network based on environmental sound data for the generation of a children activity classification model. - 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 (PeerJ Comput. Sci., 2020)

Desarrollo de un Modelo 3D para un Sistema Infotainment. - 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 (Rev. Colomb. de Computación, 2020)

Creation and Implementation of a Serious Game to Detect Depression in Young People and Children. - José Jimenez Peralta; Jaime del Angel; Alberto Ochoa 002; Antonio García-Domínguez; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada (Res. Comput. Sci., 2020)

Evaluación de cuatro clasificadores para el reconocimiento de síndrome de muerte súbita del lactante utilizando ácidos grasos de cadena corta como fuente de información. - Karen E. Villagrana-Bañuelos; Laura A. Zanella-Calzada; Carlos Eric Galván-Tejada; Hamurabi Gamboa-Rosales; Jorge I. Galván-Tejada (Res. Comput. Sci., 2020)

Desktop Application for Water Quality Prediction and Monitoring System Using ISO 9241-210 and Machine Learning Techniques. - Maximiliano Guzman-Fernandez; Huizilopoztli Luna-García; César A. Collazos 001; 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 (HCI-COLLAB, 2021)

Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest. - Laura A. Zanella-Calzada; Carlos Eric Galván-Tejada; Nubia M. Chávez-Lamas; Karen E. Villagrana-Bañuelos; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales (MCPR, 2021)

Clasificación de complicaciones en diabetes mellitus mediante algoritmos genéticos. - Mario Daniel Cervantes-Guerrero; Miguel Cruz; Adan Valladares-Salgado; Jorge Issac Galván-Tejada; Tania A. Gutiérrez-García; Carlos Eric Galván-Tejada (Res. Comput. Sci., 2021)

Aprendizaje automático para la detección de cáncer de mama. - 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 (Res. Comput. Sci., 2021)

In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection. - 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 (Sensors, 2021)

Design of Mobile Application Prototype for the care and monitoring of patients with Multiple Sclerosis. - Wilder González-Díaz; Huizilopoztli Luna-García; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada; César A. Collazos 001 (HCI-COLLAB, 2022)

Convolutional Neural Network for Monkeypox Detection. - Vanessa Alcalá-Rmz; Karen E. Villagrana-Bañuelos; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; Carlos Eric Galván-Tejada (UCAmI, 2022)

Towards Esophagitis and Barret's Esophagus Endoscopic Images Classification: An Approach with Deep Learning Techniques. - Karen E. Villagrana-Bañuelos; Vanessa Alcalá-Rmz; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; Carlos Eric Galván-Tejada (UCAmI, 2022)

Comparison of Three Supervised Machine Learning Classification Methods for the Diagnosis of PD. - Ricardo Villagrana-Bañuelos; Karen E. Villagrana-Bañuelos; Manuel A. Soto Murillo; Carlos Eric Galván-Tejada; José María Celaya-Padilla; Jorge Issac Galván-Tejada (UCAmI, 2022)

Predicción de enfermedades cardíacas derivadas de diabetes, mediante algoritmos genéticos: caso de estudio. - Isamar Aparicio-Montelongo; José M. Celaya-Padilla; Huizilopoztli Luna-García; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales (Res. Comput. Sci., 2022)

Detección de nefropatía como complicación en pacientes diabéticos de tipo II mediante el uso de la regresión logística. - Man Kit Liao-Li; José María Celaya-Padilla; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Huizilopoztli Luna-García; Hamurabi Gamboa-Rosales; Miguel Cruz (Res. Comput. Sci., 2022)

Aprendizaje automático para identificar episodios de esquizofrenias tratadas con clozapina. - Julieta G. Rodríguez-Ruiz; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; José M. Celaya-Padilla (Res. Comput. Sci., 2022)

Evaluation of Four Classification Algorithms Applied to Detection of Poisonous Mushrooms. - Jacqueline S. Ortiz-Letechipia; Ricardo Villagrana-Bañuelos; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; José M. Celaya-Padilla (UCAmI (2), 2023)

Hacia la predicción de pacientes con diabetes: Comparación de algoritmos de aprendizaje automático. - Edgar García-Quezada; Carlos Eric Galván-Tejada; José M. Celaya-Padilla; Irma E. Gonzalez-Curiel; Jorge I. Galván-Tejada (Res. Comput. Sci., 2023)

Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms. - 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 (Sensors, 2023)

Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks. - 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 (Sensors, 2023)

Femoral Head Surface Segmentation Using Ultrasound Images as Input Source: A Local Phase and Rigid Filtering Approach. - Eduardo de Avila-Armenta; José María Celaya-Padilla; Robert B. A. Adamson; Gamaliel Moreno-Chávez; Antonio Martínez-Torteya; Manuel A. Soto Murillo; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada; Erika Acosta-Cruz; Osvaldo Moreno-Terrazas; Miguel A. Cid-Baez; Diana L. Jácome-Cadena (ARTIIS Workshops (1), 2024)

MRI-Based Brain Tumor Classification: A Texture Analysis and Machine Learning Approach. - J. Manuel Mercado-Blanco; Manuel A. Soto Murillo; Jorge I. Galván-Tejada; Gamaliel Moreno; Carlos Eric Galván-Tejada; Eduardo de Avila-Armenta; Jesus F. Pacheco-Marquez (ARTIIS Workshops (1), 2024)

Ultrasound Bone Surface Segmentation for Hip Joint Arthroscopy: Evaluating a Local Phase-Based and a Rigid Object Filtering in a Simulated Environment. - 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 (MCPR, 2024)

Synthetic data analysis for early detection of Alzheimer progression through machine learning algorithms. - Ana Gabriela Sánchez Reyna; Ricardo Mendoza González; Huizilopoztli Luna-García; José María Celaya-Padilla; Jorge A. Morgan-Benita; Carlos H. Espino-Salinas; Jorge I. Galván-Tejada; David Rondon; Klinge Villalba-Condori (PeerJ Comput. Sci., 2024)

Selección de características y optimización de hiperparámetros para la mejora en la clasificación del cáncer de próstata. - Andrea G. Plascencia-Rodríguez; Manuel A. Soto Murillo; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada (Res. Comput. Sci., 2024)

Analysis and Processing of Driver Behavior for Emotion Recognition. - Carlos H. Espino-Salinas; Huizilopoztli Luna-García; José M. Celaya-Padilla; Jorge A. Morgan-Benita; Ana Gabriela Sánchez Reyna; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales (Inteligencia Artif., 2025)

Detection of ovarian cancer using a methodology with feature extraction and selection with genetic algorithms and machine learning. - 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 (Netw. Model. Anal. Health Informatics Bioinform., 2025)