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Santiago Gomez Guerrero
Santiago Gomez Guerrero
Facultad Politécnica, Universidad Nacional de Asunción
Dirección de correo verificada de pol.una.py
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Año
Entropy and contrast enhancement of infrared thermal images using the multiscale top-hat transform
JC Mello Román, JL Vázquez Noguera, H Legal-Ayala, DP Pinto-Roa, ...
Entropy 21 (3), 244, 2019
452019
Predictive models for the medical diagnosis of dengue: a case study in Paraguay
JD Mello-Román, JC Mello-Román, S Gomez-Guerrero, M García-Torres
Computational and mathematical methods in medicine 2019, 2019
312019
A multivariate approach to the symmetrical uncertainty measure: Application to feature selection problem
G Sosa-Cabrera, M García-Torres, S Gómez-Guerrero, CE Schaerer, ...
Information Sciences 494, 1-20, 2019
212019
Feature selection using approximate multivariate Markov blankets
R Arias-Michel, M García-Torres, C Schaerer, F Divina
International Conference on Hybrid Artificial Intelligence Systems, 114-125, 2016
102016
Feature selection via approximated Markov blankets using the CFS method
R Arias-Michel, M García-Torres, CE Schaerer, F Divina
2015 International Workshop on Data Mining with Industrial Applications …, 2015
82015
Understanding a version of multivariate symmetric uncertainty to assist in feature selection
G Sosa-Cabrera, M García-Torres, S Gómez, C Schaerer, F Divina
arXiv preprint arXiv:1709.08730, 2017
72017
Deep learning-based dengue cases forecasting with synthetic data
JV Bogado, D Stalder, S Gómez, C Schaerer
Proceeding Series of the Brazilian Society of Computational and Applied …, 2020
22020
Multivariate Symmetrical Uncertainty as a measure for interaction in categorical patterned datasets
S Gómez-Guerrero, G Sosa-Cabrera, M García-Torres, I Ortiz-Samudio, ...
MDPI, 2021
12021
Categorical PCA and Multiple Correlation in the study of the incidence of Dengue fever in communities of Paraguay
EGS Riveros, SG Guerrero, C Schaerer
Proceeding Series of the Brazilian Society of Computational and Applied …, 2018
12018
Understanding a multivariate semi-metric in the search strategies for attributes subset selection
G Sosa-Cabrera, MG Torres, SG Guerrero, CE Schaerer, F Divina
Proceeding Series of the Brazilian Society of Computational and Applied …, 2018
12018
ON ANALYZING MATH LEARNING AND REASONING USING A DATA MINING APPROACH
EGS Riveros, S Gómez-Guerrero, CE Schaerer
12017
Measuring Interactions in Categorical Datasets Using Multivariate Symmetrical Uncertainty
S Gómez-Guerrero, I Ortiz, G Sosa-Cabrera, M García-Torres, ...
Entropy 24 (1), 64, 2021
2021
Time Series Clustering to Improve Dengue Cases Forecasting with Deep Learning
JV Bogado, DH Stalder, CE Schaerer, S Gómez-Guerrero
2021 XLVII Latin American Computing Conference (CLEI), 1-10, 2021
2021
Classifying dengue cases using CatPCA in combination with the MSU correlation
S Gómez-Guerrero, M García-Torres, G Sosa-Cabrera, E Sotto-Riveros, ...
MDPI, 2021
2021
Estimación bayesiana de parámetros para modelos epidemiológicos
JV Bogado Machuca, DH Stalder Díaz, S Gómez-Guerrero, C Schaerer
Sociedad Científica del Paraguay, 2019
2019
Classifying dengue cases using CatPCA in combination with the MSU correlation (abstract Entropy 2020)
S Gómez-Guerrero, M Garcıa-Torres, G Sosa-Cabrera, E Sotto, ...
2019
Aplicación de extreme learning machine (máquinas de aprendizaje extremo) para pronóstico de brotes de casos de Dengue en el Paraguay
JV Bogado Machuca, S Gómez Guerrero, HR Estigarribia Barreto
Universidad Comunera, 2018
2018
Feature Selection with Multivariate Symmetrical Uncertainty to predict Dengue Cases using Deep Learning
MA Ortega Velázquez, S Gómez Guerrero
Universidad Comunera, 2018
2018
DMIA 2015
M Cabrera, S Gómez, E Hochsztain, D Romero, C Schaerer
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Artículos 1–19