Gonzalo Acuña

Orcid: 0000-0002-0519-7792

According to our database1, Gonzalo Acuña authored at least 21 papers between 1996 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Prediction intervals for time series forecasting using Transformers.
Proceedings of the 42nd IEEE International Conference of the Chilean Computer Science Society, 2023

2021
Probabilistic Multistep Time Series Forecasting Using Conditional Generative Adversarial Networks.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

Time Series Forecasting using NARX and NARMAX models with shallow and deep neural networks.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

2020
Healthy and Anomalous Beehives Classification Model using Convolutional Neural Networks.
Proceedings of the XLVI Latin American Computing Conference, 2020

2017
Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison.
Proceedings of the Advances in Computational Intelligence, 2017

2016
Indirect training of Gray-Box Models using LS-SVM and genetic algorithms.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

2014
Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Predictive Models Applied to Heavy Duty Equipment Management.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

2012
Comparing NARX and NARMAX models using ANN and SVM for cash demand forecasting for ATM.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Forecasting Cash Demand in ATM Using Neural Networks and Least Square Support Vector Machine.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Indirect Training with Error Backpropagation in Gray-Box Neural Model: Application to a Chemical Process.
Proceedings of the SCCC 2010, 2010

2009
Comparison of Neural Networks and Support Vector Machine Dynamic Models for State Estimation in Semiautogenous Mills.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

2007
Adaptive Control Using a Grey Box Neural Model: An Experimental Application.
Proceedings of the Advances in Neural Networks, 2007

Indirect Training of Grey-Box Models: Application to a Bioprocess.
Proceedings of the Advances in Neural Networks, 2007

Estimation of State Variables in Semiautogenous Mills by Means of a Neural Moving Horizon State Estimator.
Proceedings of the Advances in Neural Networks, 2007

2006
Development of a Matlab(R) Toolbox for the Design of Grey-Box Neural Models.
Int. J. Comput. Commun. Control, 2006

An Interval Approach for Weight's Initialization of Feedforward Neural Networks.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Simulation Studies of On-Line Identification of Complex Processes with Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
Neural Grey Box Model for Power Estimation in Semiautogenous Mill.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Comparative Assessment of Interval and Affine Arithmetic in Neural Network State Prediction.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

1996
Neural Network Model for Maximum Ozone Concentration Prediction.
Proceedings of the Artificial Neural Networks, 1996


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