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Franklin Parrales-Bravo
Franklin Parrales-Bravo
IEEE Senior Member, Associate Professor at University of Guayaquil, ORCID: 0000-0002-6283-8197
在 ucm.es 的电子邮件经过验证 - 首页
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Prediction of patient's response to OnabotulinumtoxinA treatment for migraine
FP Bravo, AADB García, MM Gallego, ABG Veiga, M Ruiz, AG Peral, ...
Heliyon 5 (2), 2019
192019
Support System to Improve Reading Activity in Parkinson’s Disease and Essential Tremor Patients
F Parrales Bravo, AA Del Barrio García, M Gallego de la Sacristana, ...
Sensors 17 (5), 2017
102017
Relevant and non-redundant feature subset selection applied to the detection of malware in a network
F Parrales-Bravo, J Torres-Urresto, D Avila-Maldonado, ...
2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM), 1-6, 2021
82021
SMURF: Systematic Methodology for Unveiling Relevant Factors in retrospective data on chronic disease treatments
FP Bravo, AADB García, ABG Veiga, MMG De La Sacristana, MR Piñero, ...
IEEE Access 7, 92598-92614, 2019
82019
Clustering-based approach for characterization of patients with preeclampsia using a non-redundant feature selection
F Parrales-Bravo, J Saltos-Cedeño, J Tomalá-Esparza, ...
2023 3rd International Conference on Electrical, Computer, Communications …, 2023
52023
Forecasting energy consumption in residential department using convolutional neural networks
J Barzola-Monteses, M Guerrero, F Parrales-Bravo, M Espinoza-Andaluz
Conference on Information and Communication Technologies of Ecuador, 18-30, 2021
52021
Una Orquesta Sinfónica como Ejemplo de Aplicación de un Sistema Empotrado Distribuido
F Parrales, AA Barrio García, G Botella Juan
Universidad de Granada. Departamento de Arquitectura y Tecnología de …, 2015
52015
ACME: A Classification Model for Explaining the Risk of Preeclampsia Based on Bayesian Network Classifiers and a Non-Redundant Feature Selection Approach
F Parrales-Bravo, R Caicedo-Quiroz, E Rodríguez-Larraburu, ...
Informatics 11 (2), 31, 2024
42024
Comparisons of deep learning models to predict energy consumption of an educational building
J Barzola-Monteses, W Yanez-Pazmino, E Flores-Moran, ...
2022 IEEE International Conference on Machine Learning and Applied Network …, 2022
42022
SOFIA: Selection of Medical Features by Induced Alterations in Numeric Labels
FP Bravo, AADB García, LMS Russo, JL Ayala
Electronics 9 (9), 1492, 2020
32020
CSM: a Chatbot Solution to Manage Student Questions About payments and Enrollment In University
F Parrales-Bravo, R Caicedo-Quiroz, J Barzola-Monteses, ...
IEEE Access, 2024
22024
CRUDE (CRUD+ Entity) Structure to Help Unambiguous Functional Requirement Specification in Natural Language
F Parrales-Bravo, V Gómez-Rodríguez, L Cevallos-Torres
2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC), 1-5, 2024
12024
SURE: Structure for Unambiguous Requirement Expression in Natural Language
F Parrales-Bravo, R Caicedo-Quiroz, J Barzola-Monteses, ...
Electronics 13 (11), 2206, 2024
12024
Estudio sobre la paralelización de modelos MOEAs de predicción terapéutica con Toxina Botulínica tipo A en migraña
F Parrales Bravo, AA Barrio García, JL Ayala Rodrigo
Avances en Arquitectura y Tecnología de Computadores: Actas de Jornadas …, 2019
12019
DEAR: DEtecting Ambiguous Requirements as a Way to Develop Skills in Requirement Specifications
F Parrales-Bravo, V Gómez-Rodríguez, L Chiquito-Vera, I Rendón-Quijije, ...
Electronics 13 (15), 3079, 2024
2024
Virtual Assistant Prototype to Answer Student Payment and Enrollment Questions Through Natural Language Processing and Machine Learning
F Parrales-Bravo, R Caicedo-Quiroz, J Barzola-Monteses, ...
2024 IEEE International Conference on Advanced Systems and Emergent …, 2024
2024
Prediction of Emergency Room Arrivals of Patients with Preeclampsia Disease Using Artificial Neural Network Model
F Parrales–Bravo, R Caicedo–Quiroz, J Barzola–Monteses, ...
2024 IEEE 4th International Conference on Electronic Communications …, 2024
2024
Prognostic Precision for Crohn’s Disease Patients through Machine Learning Predictive Models
J Barzola-Monteses, R Caicedo-Quiroz, M Espinoza-Andaluz, ...
2023 42nd IEEE International Conference of the Chilean Computer Science …, 2023
2023
Metodologías de procesamiento de datos en el ámbito de e-Health para la categorización de respuestas terapéuticas en pacientes con migraña
FR Parrales Bravo
Universidad Complutense de Madrid, 2021
2021
Metodologías de procesamiento de datos en el ámbito de e-health para la categorización de respuestas terapéuticas en pacientes con migraña
FP Bravo
Metodologías de procesamiento de datos en el ámbito de e-health para la …, 2020
2020
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