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ORCIDJosé M. Celaya-Padilla
José María Celaya-Padilla
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2020 – today
- 2024
[c38]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
- [j22]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:
Selección de metabolitos como características de un modelo de bosques aleatorios para el diagnóstico del COVID-19. Res. Comput. Sci. 152(6): 161-174 (2023) - [j21]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) - [j20]Daniela Bolaños-Flores, Hamurabi Gamboa Rosales, José M. Celaya-Padilla, Tania Aglaé Ramírez del Real:
Reconocimiento y detección de señales de tráfico mexicanas de tipo preventivas, restrictivas e informativas aplicando YOLOv4. Res. Comput. Sci. 152(7): 25-37 (2023) - [j19]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) - [j18]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) - [c37]Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla:
Development of a Multimodal Model for Emotions Recognition in Drivers Using Convolutional Neural Networks. CLIHC 2023: 27:1-27:4 - [c36]Rosa A. Garcia-Hernandez, José M. Celaya-Padilla, Huizilopoztli Luna-García:
Multimodal Emotion Recognition Model Using AI With the Aim of Addressing Gender-Based Violence. CLIHC 2023: 28:1-28:3 - [c35]Luis C. Reveles-Gomez, Huizilopoztli Luna-García, José M. Celaya-Padilla:
Development of an Automotive Safety System for Pedestrian Detection by Fusing Information from Reversing Camera and Proximity Sensors Using Convolutional Neural Networks. CLIHC 2023: 29:1-29:4 - [c34]Rubén Rivera-Medina, Huizilopoztli Luna-García, José M. Celaya-Padilla, Oscar Osvaldo Ordaz García, Roberto Solis-Robles:
Redesign of the Dashboard of a Web Telemetry System for Decision Support. HCI-COLLAB 2023: 257-270 - [c33]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
- [j17]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) - [j16]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) - [c32]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 - [c31]Raul A. Legaspi Rodríguez, Huizilopoztli Luna-García, José M. Celaya-Padilla, Nancy Delgado Salazar, José G. Arceo-Olague, Roberto Solis-Robles:
Evaluation of the User Experience of a Web Tool that Allows Inferring the Learning Style and Personality of University Students in Mexico. HCI-COLLAB 2022: 38-51 - [c30]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:
Prototype User Interface for an Automatic Sheep Weighing Control System: Implementing ISO 9241-210: 2019, ISO 29110, IEEE 830. HCI-COLLAB 2022: 83-93 - [c29]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 - [c28]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 - [c27]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
- [j15]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) - [c26]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 - 2020
- [j14]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) - [j13]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) - [j12]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) - [j11]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) - [c25]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:
Texture and signal features from hippocampal T2 maps as biomarkers for MCI to AD progression. BIBM 2020: 772-777 - [c24]Mario Iván Oliva de la Torre, Huizilopoztli Luna-García, José M. Celaya-Padilla, Hamurabi Gamboa Rosales, Wilson J. Sarmiento, César A. Collazos:
Autonomous Driving: Obtaining Direction Commands by Classifying Images Within a Simulation Platform. HCI-COLLAB 2020: 30-41 - [c23]Vanessa Alcalá-Ramírez, Valeria Maeda-Gutiérrez, Laura A. Zanella-Calzada, Adan Valladares-Salgado, José M. Celaya-Padilla, Carlos Eric Galván-Tejada:
Convolutional Neural Network for Classification of Diabetic Retinopathy Grade. MICAI (1) 2020: 104-118
2010 – 2019
- 2019
- [j10]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) - [c22]Antonio Martínez-Torteya, Alejandro I. Trejo-Castro, José M. Celaya-Padilla, José G. Tamez-Peña:
Differences in the Progression from Mild Cognitive Impairment to Alzheimer's Disease between APOE4 Carriers and Non-Carriers. BIBE 2019: 199-203 - [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 - [c17]Antonio Martínez-Torteya, Félix E. Rodríguez-Cantú, Mónica Rivera-Dávila, José M. Celaya-Padilla, José G. Tamez-Peña:
Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530U - 2018
- [j9]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) - [j8]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) - [j7]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) - [j6]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) - [j5]Diego M. Blanco-Murillo, Antonio García-Domínguez, Carlos Eric Galván-Tejada, José M. Celaya-Padilla:
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. Res. Comput. Sci. 147(5): 281-290 (2018) - [j4]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) - [c16]Angel G. Cadena-Hernandez, Alejandro I. Trejo-Castro, José M. Celaya-Padilla, José G. Tamez-Peña, Antonio Martínez-Torteya:
Longitudinal gender-specific differences in the conversion from mild cognitive impairment to Alzheimer's disease. BHI 2018: 202-205 - [c15]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 - [c14]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 - [c13]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
- [j3]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) - [c12]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 - [c11]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
- [j2]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) - [c10]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 - [c9]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 - [c8]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
- [j1]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) - [c7]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
- [c6]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 - [c5]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 - [c4]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 - [c3]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 - [c2]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 - 2013
- [c1]José C. Carrasco-Jiménez, José M. Celaya-Padilla, Gilberto Montes, Ramón F. Brena, Sigfrido Iglesias:
Social Interaction Discovery: A Simulated Multiagent Approach. MCPR 2013: 294-303 - [i1]José M. Celaya-Padilla, Juan Rodríguez-Rojas, Victor Trevino, José Gerardo Tamez-Peña:
Local image registration a comparison for bilateral registration mammography. CoRR abs/1308.2654 (2013)
Coauthor Index
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