Social Interaction Discovery: A Simulated Multiagent Approach. - José C. Carrasco-Jiménez; José M. Celaya-Padilla; Gilberto Montes; Ramón F. Brena; Sigfrido Iglesias (MCPR, 2013)

Local image registration a comparison for bilateral registration mammography. - José M. Celaya-Padilla; Juan Rodríguez-Rojas; Victor Trevino; José Gerardo Tamez-Peña (CoRR, 2013)

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)

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)

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)

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)

Longitudinal gender-specific differences in the conversion from mild cognitive impairment to Alzheimer's disease. - Angel G. Cadena-Hernandez; Alejandro I. Trejo-Castro; José M. Celaya-Padilla; José G. Tamez-Peña; Antonio Martínez-Torteya (BHI, 2018)

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)

Comparación del nivel de precisión de los clasificadores Support Vector Machines, k Nearest Neighbors, Random Forests, Extra Trees y Gradient Boosting en el reconocimiento de actividades infantiles utilizando sonido ambiental. - Diego M. Blanco-Murillo; Antonio García-Domínguez; Carlos Eric Galván-Tejada; José M. Celaya-Padilla (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)

Differences in the Progression from Mild Cognitive Impairment to Alzheimer's Disease between APOE4 Carriers and Non-Carriers. - Antonio Martínez-Torteya; Alejandro I. Trejo-Castro; José M. Celaya-Padilla; José G. Tamez-Peña (BIBE, 2019)

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)

Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease. - Antonio Martínez-Torteya; Félix E. Rodríguez-Cantú; Mónica Rivera-Dávila; José M. Celaya-Padilla; José G. Tamez-Peña (Biomedical Applications in Molecular, Structural, and Functional Imaging, 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)

Texture and signal features from hippocampal T2 maps as biomarkers for MCI to AD progression. - Alejandro I. Trejo-Castro; Ricardo A. Caballero-Luna; José A. Garnica-López; Fernando Vega-Lara; José M. Celaya-Padilla; José G. Tamez-Peña; Antonio Martínez-Torteya (BIBM, 2020)

Autonomous Driving: Obtaining Direction Commands by Classifying Images Within a Simulation Platform. - Mario Iván Oliva de la Torre; Huizilopoztli Luna-García; José M. Celaya-Padilla; Hamurabi Gamboa-Rosales; Wilson J. Sarmiento; César A. Collazos 001 (HCI-COLLAB, 2020)

Convolutional Neural Network for Classification of Diabetic Retinopathy Grade. - Vanessa Alcalá-Ramírez; Valeria Maeda-Gutiérrez; Laura A. Zanella-Calzada; Adan Valladares-Salgado; José M. Celaya-Padilla; 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)

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)

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)

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)

Prototype User Interface for an Automatic Sheep Weighing Control System: Implementing ISO 9241-210: 2019, ISO 29110, IEEE 830. - Jesus S. Rodríguez-Cardiel; Huizilopoztli Luna-García; José M. Celaya-Padilla; Luis M. Zapata-Alvarado; Julián Ramírez-Carrillo; José F. Hernández-Serrano; Laura E. Salcedo-Bugarín (HCI-COLLAB, 2022)

Evaluation of the User Experience of a Web Tool that Allows Inferring the Learning Style and Personality of University Students in Mexico. - Raul A. Legaspi Rodríguez; Huizilopoztli Luna-García; José M. Celaya-Padilla; Nancy Delgado Salazar; José G. Arceo-Olague; Roberto Solis-Robles (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)

Development of a Multimodal Model for Emotions Recognition in Drivers Using Convolutional Neural Networks. - Carlos H. Espino-Salinas; Huizilopoztli Luna-García; José M. Celaya-Padilla (CLIHC, 2023)

Multimodal Emotion Recognition Model Using AI With the Aim of Addressing Gender-Based Violence. - Rosa A. Garcia-Hernandez; José M. Celaya-Padilla; Huizilopoztli Luna-García (CLIHC, 2023)

Development of an Automotive Safety System for Pedestrian Detection by Fusing Information from Reversing Camera and Proximity Sensors Using Convolutional Neural Networks. - Luis C. Reveles-Gomez; Huizilopoztli Luna-García; José M. Celaya-Padilla (CLIHC, 2023)

Redesign of the Dashboard of a Web Telemetry System for Decision Support. - Rubén Rivera-Medina; Huizilopoztli Luna-García; José M. Celaya-Padilla; Oscar Osvaldo Ordaz García; Roberto Solis-Robles (HCI-COLLAB, 2023)

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)

Reconocimiento y detección de señales de tráfico mexicanas de tipo preventivas, restrictivas e informativas aplicando YOLOv4. - Daniela Bolaños-Flores; Hamurabi Gamboa-Rosales; José M. Celaya-Padilla; Tania Aglaé Ramírez del Real (Res. Comput. Sci., 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)

Selección de metabolitos como características de un modelo de bosques aleatorios para el diagnóstico del COVID-19. - Hugo Alexis Torres-Pasillas; José María Celaya-Padilla; Yamilé López-Hernández; Carlos Eric Galván-Tejada; Alejandra García-Hernández; Pedro Daniel Alaniz Lumbreras; José Alejandro Morgan-Benita (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)

Optimizing Autonomous Vehicle Control Through Deep Q-Learning: A Simulation-Based Approach with CARLA. - Jose J. Alvarado-Padilla; José M. Celaya-Padilla; Antonio Martínez-Torteya; Manuel A. Soto Murillo; Hamurabi Gamboa-Rosales; Nadia Karina Gamboa-Rosales (ARTIIS Workshops (1), 2024)

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)

Analysis of the Correct Execution of Free Squats for Injury Prevention: A Genetic Algorithm Approach. - Sebastian Guzmán-Alfaro; José I. Ríos-Ríos; José M. Celaya-Padilla; Carlos Eric Galván-Tejada; Angeles O. Félix-Castañeda; Manuel A. Soto Murillo; Eduardo de Avila-Armenta; Pedro E. Mayorga-Ruiz; Andrea Acuña-Correa (ARTIIS Workshops (1), 2024)

Lane Direction by Implementing Random Sampling Algorithms. - Alan C. Quezada-Villalobos; José M. Celaya-Padilla; Huizilopoztli Luna-García; Javier Saldívar; Luis Carlos Reveles-Gómez; Hamurabi Gamboa-Rosales; Juvenal Villanueva-Maldonado; Rafael Reveles (ARTIIS Workshops (1), 2024)

Data-Driven Autonomous System for Lane Keeping in a 1: 10 Scale Vehicle for Autonomous Driving. - Rafael Reveles-Martínez; José María Celaya-Padilla; Hamurabi Gamboa-Rosales; Uziel A. Mendoza-Saldívar; Diego A. Domínguez-Jaramillo; Marlon Chavez-Almaraz; Flabio Mireles-Delgado; Alan C. Quezada-Villalobos; Javier Saldívar (ARTIIS (2), 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)

Multimodal driver emotion recognition using motor activity and facial expressions. - Carlos H. Espino-Salinas; Huizilopoztli Luna-García; José M. Celaya-Padilla; Cristian Barría Huidobro; Nadia Karina Gamboa-Rosales; David Rondon; Klinge Orlando Villalba-Condori (Frontiers Artif. Intell., 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)

Predicción de expansión urbana de las ciudades Zacatecas-Guadalupe usando máquinas de soporte vectorial. - A. Carmina Llamas-Valenzuela; José Ismael de la Rosa Vargas; G. Moreno Chávez; Efrén Gonzales-Ramírez; Jesús Villa; José M. Celaya-Padilla (Res. 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)

Predicting Urban Expansion in Zacatecas-Guadalupe cities: A Support Vector Machine Approach Enhanced by SHAP Values. - A. Carmina Llamas-Valenzuela; José Ismael de la Rosa Vargas; G. Moreno Chávez; Efrén Gonzales-Ramírez; Jesús Villa; José M. Celaya-Padilla (Int. J. Comb. Optim. Probl. Informatics, 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)