Carlos Eric Galván-Tejada

Orcid: 0000-0002-7635-4687

According to our database1, Carlos Eric Galván-Tejada authored at least 62 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Annual Daily Irradiance Analysis of Clusters in Mexico by Machine Learning Algorithms.
Remote. Sens., February, 2024

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
Facial Expression Recognition from Multi-Perspective Visual Inputs and Soft Voting.
Sensors, 2022

Multivariate Analysis for Solar Resource Assessment Using Unsupervised Learning on Images from the GOES-13 Satellite.
Remote. Sens., 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

Convolutional Neural Network for Monkeypox Detection.
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

Desarrollo de un Modelo 3D para un Sistema Infotainment.
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

Convolutional Neural Network for Classification of Diabetic Retinopathy Grade.
Proceedings of the Advances in Soft Computing, 2020

2019
A Preliminary Approach for Finding Linked Determinants between Diabetes and Caries using Genetic Algorithms.
Res. Comput. Sci., 2019

Evaluation of Five Classifiers for Depression Episodes Detection.
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
Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach.
Sensors, 2018

An analysis of Demographic and Dietary Data with an Oral Health Approach: A Preliminary Study using Genetic Algorithms.
Res. Comput. Sci., 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

Multi-view stacking for activity recognition with sound and accelerometer data.
Inf. Fusion, 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

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

Vadose zone hydraulic conductivity monitoring by using an arduino data acquisition system.
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

Frequency Analysis of Honey Bee Buzz for Automatic Recognition of Health Status: A Preliminary Study.
Res. Comput. Sci., 2017

Reconocimiento de actividades infantiles utilizando sonido ambiental: Un enfoque preliminar.
Res. Comput. Sci., 2017

An Analysis of Dietary and Demographic Data in Oral Health, Data from the National Health and Nutrition Examination Survey: A Preliminary Study.
Res. Comput. Sci., 2017

Evolution of Indoor Positioning Technologies: A Survey.
J. Sensors, 2017

Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD.
Proceedings of the Advances in Computational Intelligence, 2017

Comparation of Light Sensor on Biological Tissues for Wound Three-Dimensional Reconstruction.
Proceedings of the Sixteenth Mexican International Conference on Artificial 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

Identification and evaluation on diabetic foot injury by computer vision.
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

Towards an Indoor Location System using Indoor-light as Information Source.
Res. Comput. Sci., 2015

Multivariate or univariate model analysis for indoor location systems: A comparison.
Proceedings of the 25. International Conference on Electronics, 2015

2014
Magnetic Field Feature Extraction and Selection for Indoor Location Estimation.
Sensors, 2014

Contextualized Hand Gesture Recognition with Smartphones.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 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

Feature Selection for Place Classification through Environmental Sounds.
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

Natural or generated signals for indoor location systems? An evaluation in terms of sensitivity and specificity.
Proceedings of the 24th International Conference on Electronics, 2014

Evaluation of Four Classifiers as Cost Function for Indoor Location Systems.
Proceedings of the 5th International Conference on Ambient Systems, 2014

2013
Magnetic-Field Feature Extraction for Indoor Location Estimation.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction, 2013

Magnetic-Field Feature Reduction for Indoor Location Estimation Applying Multivariate Models.
Proceedings of the 12th Mexican International Conference on Artificial Intelligence, 2013

Location Identification Using a Magnetic-field-based FFT Signature.
Proceedings of the 4th International Conference on Ambient Systems, 2013


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