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Gonzalo Acuña
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2020 – today
- 2023
- [c20]Sebastian Orellana, Gonzalo Acuña
:
Prediction intervals for time series forecasting using Transformers. SCCC 2023: 1-8 - 2021
- [c19]Francisco Muñoz, Gonzalo Acuña
:
Time Series Forecasting using NARX and NARMAX models with shallow and deep neural networks. LA-CCI 2021: 1-6 - [c18]Gerardo Zúñiga, Gonzalo Acuña
:
Probabilistic Multistep Time Series Forecasting Using Conditional Generative Adversarial Networks. LA-CCI 2021: 1-6 - 2020
- [c17]Tomás Child, Gonzalo Acuña
:
Healthy and Anomalous Beehives Classification Model using Convolutional Neural Networks. CLEI 2020: 20-26
2010 – 2019
- 2017
- [c16]César Lincoln C. Mattos, Guilherme A. Barreto
, Gonzalo Acuña
:
Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison. IWANN (1) 2017: 603-615 - 2016
- [c15]Gonzalo Acuña
, Hans Moller:
Indirect training of Gray-Box Models using LS-SVM and genetic algorithms. LA-CCI 2016: 1-5 - 2014
- [c14]Millaray Curilem, Fernando Huenupán
, César San-Martín, Gustavo Fuentealba, Carlos Cardona, Luis Franco, Gonzalo Acuña
, Max Chacón:
Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines. MICAI (2) 2014: 160-171 - [c13]Gonzalo Acuña
, Millaray Curilem, Beatriz Araya, Francisco A. Cubillos, Rodrigo Miranda, Fernanda Garrido:
Predictive Models Applied to Heavy Duty Equipment Management. MICAI (2) 2014: 198-205 - 2012
- [c12]Gonzalo Acuña
, Cristián Ramírez, Millaray Curilem
:
Comparing NARX and NARMAX models using ANN and SVM for cash demand forecasting for ATM. IJCNN 2012: 1-6 - 2011
- [c11]Cristián Ramírez, Gonzalo Acuña
:
Forecasting Cash Demand in ATM Using Neural Networks and Least Square Support Vector Machine. CIARP 2011: 515-522 - 2010
- [c10]Francisco Cruz Naranjo
, Gonzalo Acuña Leiva
:
Indirect Training with Error Backpropagation in Gray-Box Neural Model: Application to a Chemical Process. SCCC 2010: 265-269
2000 – 2009
- 2009
- [c9]Gonzalo Acuña
, Millaray Curilem
:
Comparison of Neural Networks and Support Vector Machine Dynamic Models for State Estimation in Semiautogenous Mills. MICAI 2009: 478-487 - 2007
- [c8]Francisco A. Cubillos, Gonzalo Acuña
:
Adaptive Control Using a Grey Box Neural Model: An Experimental Application. ISNN (1) 2007: 311-318 - [c7]Francisco Cruz
, Gonzalo Acuña
, Francisco A. Cubillos, Vicente Moreno, Danilo Bassi:
Indirect Training of Grey-Box Models: Application to a Bioprocess. ISNN (2) 2007: 391-397 - [c6]Karina Carvajal, Gonzalo Acuña
:
Estimation of State Variables in Semiautogenous Mills by Means of a Neural Moving Horizon State Estimator. ISNN (1) 2007: 1255-1264 - 2006
- [j1]Gonzalo Acuña, Erika Pinto:
Development of a Matlab(R) Toolbox for the Design of Grey-Box Neural Models. Int. J. Comput. Commun. Control 1(2): 7-14 (2006) - [c5]Francisco A. Cubillos
, Gonzalo Acuña
:
Simulation Studies of On-Line Identification of Complex Processes with Neural Networks. ISNN (2) 2006: 808-814 - [c4]Marcela Jamett, Gonzalo Acuña
:
An Interval Approach for Weight's Initialization of Feedforward Neural Networks. MICAI 2006: 305-315 - 2005
- [c3]Marcela Jamett, Gonzalo Acuña
:
Comparative Assessment of Interval and Affine Arithmetic in Neural Network State Prediction. ISNN (2) 2005: 448-453 - [c2]Tito Valenzuela, Karina Carvajal, Gonzalo Acuña
, Max Chacón, Luis Magne:
Neural Grey Box Model for Power Estimation in Semiautogenous Mill. ISNN (3) 2005: 833-838
1990 – 1999
- 1996
- [c1]Gonzalo Acuña
, Héctor Jorquera
, Ricardo Pérez:
Neural Network Model for Maximum Ozone Concentration Prediction. ICANN 1996: 263-268
Coauthor Index
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