| Optimal greenhouse control of tomato-seedling crops JA Pucheta, C Schugurensky, R Fullana, H Patiño, B Kuchen Computers and electronics in agriculture 50 (1), 70-82, 2006 | 43 | 2006 |
| Time series forecasting using bayesian method: Application to cumulative rainfall CR Rivero, J Pucheta, M Herrera, V Sauchelli, S Laboret IEEE Latin America Transactions 11 (1), 359-364, 2013 | 35 | 2013 |
| A statistically dependent approach for the monthly rainfall forecastfrom one point observations J Pucheta, D Patino, B Kuchen International Conference on Computer and Computing Technologies in …, 2008 | 31 | 2008 |
| Energy associated tuning method for short-term series forecasting by complete and incomplete datasets CR Rivero, J Pucheta, S Laboret, V Sauchelli, D Patiǹo Journal of Artificial Intelligence and Soft Computing Research 7 (1), 5-16, 2017 | 26 | 2017 |
| A new image segmentation framework based on two-dimensional hidden Markov models J Baumgartner, AG Flesia, J Gimenez, J Pucheta Integrated Computer-Aided Engineering 23 (1), 1-13, 2016 | 23 | 2016 |
| A new approach for time series forecasting: bayesian enhanced by fractional brownian motion with application to rainfall series CR Rivero, D Patiño, J Pucheta, V Sauchelli International Journal of Advanced Computer Science and Applications 7 (3), 2016 | 19 | 2016 |
| A feed-forward neural networks-based nonlinear autoregressive model for forecasting time series JA Pucheta, CM Rodríguez Rivero, MR Herrera, CA Salas, ... Computación y Sistemas 14 (4), 423-435, 2011 | 19 | 2011 |
| Optimal control based-neurocontroller to guide the crop growth under perturbations J Pucheta, H Patiño, C Schugurensky, R Fullana, B Kuchen Dynamics Of Continuous, Discrete And Impulsive Systems Special Volume …, 2007 | 18 | 2007 |
| Rainfall forecasting using sub sampling nonparametric methods J Pucheta, CR Rivero, M Herrera, C Salas, V Sauchelli IEEE Latin America Transactions 11 (1), 646-650, 2013 | 15 | 2013 |
| A new approach to segmentation of multispectral remote sensing images based on MRF J Baumgartner, J Gimenez, M Scavuzzo, J Pucheta IEEE Geoscience and Remote Sensing Letters 12 (8), 1720-1724, 2015 | 14 | 2015 |
| Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series CR Rivero, J Pucheta, H Patiño, J Baumgartner, S Laboret, V Sauchelli The 2013 International Joint Conference on Neural Networks (IJCNN), 1-6, 2013 | 14 | 2013 |
| Short-series Prediction with BEMA Approach: application to short rainfall series CR Rivero, JA Pucheta, JS Baumgartner, SO Laboret, VH Sauchelli, ... IEEE Latin America Transactions 14 (8), 3892-3899, 2016 | 13 | 2016 |
| Short time series prediction: Bayesian Enhanced modified Approach with application to cumulative rainfall series CR Rivero, JA Pucheta, VH Sauchelli, HD Patiño International Journal of Innovative Computing and Applications 7 (3), 153-162, 2016 | 12 | 2016 |
| Short-term rainfall time series prediction with incomplete data CR Rivero, HD Patiño, JA Pucheta 2015 international joint conference on neural networks (IJCNN), 1-6, 2015 | 12 | 2015 |
| A neuro-dynamic programming-based optimal controller for tomato seedling growth in greenhouse systems J Pucheta, H Patiño, R Fullana, C Schugurensky, B Kuchen Neural processing letters 24, 241-260, 2006 | 12 | 2006 |
| Long-term power consumption demand prediction: A comparison of energy associated and Bayesian modeling approach CR Rivero, V Sauchelli, HD Patiño, JA Pucheta, S Laboret 2015 Latin America Congress on Computational Intelligence (LA-CCI), 1-6, 2015 | 10 | 2015 |
| Forecasting short time series with missing data by means of energy associated to series CR Rivero, J Pucheta, S Laboret, D Patiño, V Sauchelli Applied mathematics 6 (09), 1611, 2015 | 10 | 2015 |
| A new approach to image segmentation with two-dimensional hidden Markov models J Baumgartner, AG Flesia, J Gimenez, J Pucheta 2013 BRICS Congress on Computational Intelligence and 11th Brazilian …, 2013 | 10 | 2013 |
| A NN-based model for time series forecasting in function of energy associated of series CR Rivero, J Pucheta, J Baumgartner, M Herrera, D Patiño, B Kuchen Proceedings of the 2011 international conference on applied, numerical and …, 2011 | 10 | 2011 |
| Neural Networks-Based Time Series Prediction Using Long and Short Term Dependence in the Learning Process J Pucheta, HD Patiño, B Kuchen proc. of the 2007 International Symposium on Forecasting, New York, USA, 57, 2007 | 10 | 2007 |
Cristian Rodriguez RiveroLecturer in Data Science - University of AmsterdamDirección de correo verificada de uva.nl
