Jorge I. Galván-Tejada
Orcid: 0000-0002-7555-5655
According to our database1,
Jorge I. Galván-Tejada
authored at least 49 papers
between 2014 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
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
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
Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest.
Proceedings of the Pattern Recognition - 13th Mexican Conference, 2021
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.
Res. Comput. Sci., 2020
Creation and Implementation of a Serious Game to Detect Depression in Young People and Children.
Res. Comput. Sci., 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
Classification of Depressive Episodes Using Nighttime Data; a Multivariate and Univariate Analysis.
Program. Comput. Softw., 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
Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach.
Proceedings of the Advances in Soft Computing, 2020
2019
Res. Comput. Sci., 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
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
2018
Sensors, 2018
An analysis of Demographic and Dietary Data with an Oral Health Approach: A Preliminary Study using Genetic Algorithms.
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
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
Infrastructure-Less Indoor Localization Using the Microphone, Magnetometer and Light Sensor of a Smartphone.
Sensors, 2015
Res. Comput. Sci., 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
Proceedings of the 25. International Conference on Electronics, 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
Fingerprint Time Length Reduction for Developing an Indoor Location Model for Smartphones.
Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)/ The 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2014)/ Affiliated Workshops, 2014
Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)/ The 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2014)/ Affiliated Workshops, 2014
Knee Osteoarthritis pain prediction from X-ray imaging: Data from Osteoarthritis Initiative.
Proceedings of the 24th International Conference on Electronics, 2014