Gustavo Juárez

National University of Tucumán — Argentina

Computer Science · Physical Sciences

5h-index78citations21works0.02yr avg
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Research Topics

Neural Networks and Applications(5), Energy Load and Power Forecasting(3), Stock Market Forecasting Methods(3), Hydrological Forecasting Using AI(3), Time Series Analysis and Forecasting(3)

Publications21 total

Flood occurrence prediction using Monte Carlo methods and machine learning for mitigating Climate Impact in Northwestern Argentina
2025
Analysis and simulation of social behavior during the COVID-19 pandemic in Argentina, using intelligent agents
2022Open Access
Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets
Lecture notes in computer science·2020· 1 cited
Inteligencia Artificial y Tecnologías de la información y la Comunicación
Dialnet (Universidad de la Rioja)·2020
Time Series Forecasting using Recurrent Neural Networks modified by Bayesian Inference in the Learning Process
2019· 8 citedOpen Access
Bayesian Inference for Training of Long Short Term Memory Models in Chaotic Time Series Forecasting
Communications in computer and information science·2019· 2 citedOpen Access
Adaptive Identification for Self-Tuning Controllers Design
2018
Poster: SIMNET: Simulation-Based Exercises for Computer Network Curriculum Through Gamification and Augmented Reality
Lecture notes in networks and systems·2018· 3 cited
Integration of Relational Databases in ethical decision-making for autonomous vehicles
2018· 1 cited
Bayesian enhanced ensemble approach (BEEA) for time series forecasting
2018· 6 cited
SIMNET: Simulation-Based Exercises for Computer Network Curriculum Through Gamification and Augmented Reality
2018· 6 citedOpen Access
Time-series prediction with BEMCA approach: Application to short rainfall series
2017· 4 cited
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm
Neural Processing Letters·2017· 8 cited
Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme
Lecture notes in computer science·2017
A combined approach for long-term series prediction: Renyi permutation entropy with BEA predictor filter
2016· 2 citedOpen Access
On the approximate suboptimal control by neural network - rainfall observer
2016· 2 cited
FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms
Lecture notes in computer science·2015· 4 cited
High precision FPGA implementation of neural network activation functions
2014· 28 cited
Myoelectric Signal Processing Using Time-Frequency Distribution
IEEE Latin America Transactions·2013· 3 cited
ANÁLISIS DE LA APLICACIÓN DE LAS POLÍTICAS DE EVALUACIÓN DE LA CALIDAD DEL SISTEMA DE EDUCACIÓN SUPERIOR. CARRERA INGENIERÍA EN SISTEMAS DE INFORMACIÓN (UTN-FRT). 2007-2011
2011
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Frequent Co-authors

Leonardo Franco(13), Cristian Rodríguez Rivero(10), Julián Pucheta(8), Jorge O. Pérez(6), Paula Otaño(6), Daniel Patiño(6), Francisco Ortega-Zamorano(4), José M. Jerez(4), Álvaro D. Orjuela-Cañón(2), Efrén Gorrostieta(2), Jośe L. Puglisi(2), María Guadalupe Gramajo(2), Alvaro Luis Fraga(2), Hilda Noemí Ferrao(2), Sergio Laboret(2), Vìctor Sauchelli(2), Franco D. Menendez(2), Cristian H. Lafuente(2), Federico Trejo Lezcano(1), Selena Garcia Lobo(1)