José M. Celaya-Padilla
Orcid: 0000-0001-6847-3777
According to our database1,
José M. Celaya-Padilla
authored at least 51 papers
between 2013 and 2023.
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Bibliography
2023
Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks.
Sensors, September, 2023
Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms.
Sensors, January, 2023
Evaluation of Four Classification Algorithms Applied to Detection of Poisonous Mushrooms.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023
Proceedings of the Human-Computer Interaction - 9th Iberoamerican Workshop, 2023
Development of an Automotive Safety System for Pedestrian Detection by Fusing Information from Reversing Camera and Proximity Sensors Using Convolutional Neural Networks.
Proceedings of the XI Latin American Conference on Human Computer Interaction, 2023
Multimodal Emotion Recognition Model Using AI With the Aim of Addressing Gender-Based Violence.
Proceedings of the XI Latin American Conference on Human Computer Interaction, 2023
Development of a Multimodal Model for Emotions Recognition in Drivers Using Convolutional Neural Networks.
Proceedings of the XI Latin American Conference on Human Computer Interaction, 2023
2022
Detección de nefropatía como complicación en pacientes diabéticos de tipo II mediante el uso de la regresión logística.
Res. Comput. Sci., 2022
Predicción de enfermedades cardíacas derivadas de diabetes, mediante algoritmos genéticos: caso de estudio.
Res. Comput. Sci., 2022
Comparison of Three Supervised Machine Learning Classification Methods for the Diagnosis of PD.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022
Towards Esophagitis and Barret's Esophagus Endoscopic Images Classification: An Approach with Deep Learning Techniques.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022
Evaluation of the User Experience of a Web Tool that Allows Inferring the Learning Style and Personality of University Students in Mexico.
Proceedings of the Eighth Iberoamerican Workshop on Human-Computer Interaction (HCI-COLLAB 2022), 2022
Prototype User Interface for an Automatic Sheep Weighing Control System: Implementing ISO 9241-210: 2019, ISO 29110, IEEE 830.
Proceedings of the Eighth Iberoamerican Workshop on Human-Computer Interaction (HCI-COLLAB 2022), 2022
Design of Mobile Application Prototype for the care and monitoring of patients with Multiple Sclerosis.
Proceedings of the Eighth Iberoamerican Workshop on Human-Computer Interaction (HCI-COLLAB 2022), 2022
2021
In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection.
Sensors, 2021
2020
Rev. Colomb. de Computación, 2020
Deep artificial neural network based on environmental sound data for the generation of a children activity classification model.
PeerJ Comput. Sci., 2020
Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound.
Mob. Inf. Syst., 2020
Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks.
ISPRS Int. J. Geo Inf., 2020
Proceedings of the Advances in Soft Computing, 2020
Texture and signal features from hippocampal T2 maps as biomarkers for MCI to AD progression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
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.
Mob. Inf. Syst., 2019
Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019
Differences in the Progression from Mild Cognitive Impairment to Alzheimer's Disease between APOE4 Carriers and Non-Carriers.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2018
Sensors, 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.
Res. Comput. Sci., 2018
Analyzing Typical Mobile Gestures in mHealth Applications for Users with Down Syndrome.
Mob. Inf. Syst., 2018
A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition.
ISPRS Int. J. Geo Inf., 2018
Image Edge Detection Using Fractional Calculus with Feature and Contrast Enhancement.
Circuits Syst. Signal Process., 2018
Sensitivity and Variability Analysis for Image Denoising Using Maximum Likelihood Estimation of Exponential Distribution.
Circuits Syst. Signal Process., 2018
An Approach to Make Software Testing for Users with Down Syndrome a little more Pleasant.
Proceedings of the XIX International Conference on Human Computer Interaction, 2018
Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013-2014.
Proceedings of the International Conference on Electronics, Communications and Computers, 2018
Longitudinal gender-specific differences in the conversion from mild cognitive impairment to Alzheimer's disease.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
A Similarity Analysis of Audio Signal to Develop a Human Activity Recognition Using Similarity Networks.
Sensors, 2017
Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD.
Proceedings of the Advances in Computational Intelligence, 2017
Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis Initiative.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
An Analysis of Audio Features to Develop a Human Activity Recognition Model Using Genetic Algorithms, Random Forests, and Neural Networks.
Mob. Inf. Syst., 2016
Automated Image Registration for Knee Pain Prediction in Osteoarthritis: Data from the OAI.
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016
A Dynamic Indoor Location Model for Smartphones Based on Magnetic Field: A Preliminary Approach.
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016
Proceedings of the IEEE International Conference on Industrial Technology, 2016
2015
Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAI.
Comput. Math. Methods Medicine, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
MRI signal and texture features for the prediction of MCI to Alzheimer's disease progression.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Wide association study of radiological features that predict future knee OA pain: data from the OAI.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Bilateral image subtraction features for multivariate automated classification of breast cancer risk.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Radiological Pain Predictors in Knee Osteoarthritis, a Four Feature Selection Comparison: Data from the OAI.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014
Knee Osteoarthritis pain prediction from X-ray imaging: Data from Osteoarthritis Initiative.
Proceedings of the 24th International Conference on Electronics, 2014
2013
CoRR, 2013
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013