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ORCIDFranklin Parrales Bravo
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j6]Franklin Parrales Bravo
, Rosangela Caicedo-Quiroz, Julio Barzola-Monteses, José Guillén-Mirabá, Otto Guzmán-Bedor:
CSM: A Chatbot Solution to Manage Student Questions About Payments and Enrollment in University. IEEE Access 12: 74669-74680 (2024)- [j5]Franklin Parrales-Bravo, Víctor Gómez-Rodríguez, Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Elena Tolozano-Benites, Leonel Vasquez-Cevallos:
From Descriptive to Prescriptive Analytics on Time Series of the Number of Preeclampsia Inpatient Beds. IEEE Access 12: 131576-131590 (2024) - [j4]Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Julio Barzola-Monteses, Leonel Vasquez-Cevallos:
FRUIT: Fuzzy Representation of Unbounded and Imprecise Terms in Non-Functional Requirements. IEEE Access 12: 182779-182787 (2024) - [j3]Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Elianne Rodríguez-Larraburu, Julio Barzola-Monteses:
ACME: A Classification Model for Explaining the Risk of Preeclampsia Based on Bayesian Network Classifiers and a Non-Redundant Feature Selection Approach. Informatics 11(2): 31 (2024) - [c4]Julio Barzola-Monteses, Franklin Parrales-Bravo, Vicente Macas-Espinosa, Gabriel Bórquez-Vargas, Mayken Espinoza-Andaluz:
Energy Consumption of a Building Using the XGBoost Algorithm: A Forecasting Study. SCCC 2024: 1-7 - [c3]Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Franklin Parrales-Bravo, Cristhian Medina-Suarez, Wendy Yanez-Pazmino:
Convolutional Neural Networks Applied to the Diagnosis of Cardiovascular Disease. SCCC 2024: 1-8 - 2023
- [c2]Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Mayken Espinoza-Andaluz, Elena Bajaña-Díaz, Rogelio Loja-Yagual, Franklin Parrales Bravo:
Prognostic Precision for Crohn's Disease Patients through Machine Learning Predictive Models. SCCC 2023: 1-6
2010 – 2019
- 2019
- [j2]Franklin Parrales Bravo, Alberto A. Del Barrio García, Ana Beatriz Gago Veiga, María Mercedes Gallego de la Sacristana, Marina Ruiz Piñero, Angel Guerrero Peral, Saso Dzeroski, José L. Ayala:
SMURF: Systematic Methodology for Unveiling Relevant Factors in Retrospective Data on Chronic Disease Treatments. IEEE Access 7: 92598-92614 (2019) - [c1]Franklin Parrales Bravo, Alberto A. Del Barrio, José Luis Ayala:
A study on the parallelization of moeas to predict the patient's response to the onabotulinumtoxina treatment. SummerSim 2019: 24:1-24:12 - 2017
- [j1]Franklin Parrales Bravo, Alberto A. Del Barrio García, Mercedes Gallego de la Sacristana, Lydia López Manzanares, José Vivancos, José Luis Ayala Rodrigo:
Support System to Improve Reading Activity in Parkinson's Disease and Essential Tremor Patients. Sensors 17(5): 1006 (2017)
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