Julián A. Pucheta
Orcid: 0000-0003-1390-7405Affiliations:
- National University of Cordoba, Argentina
According to our database1,
Julián A. Pucheta authored at least 16 papers
between 2004 and 2021.
Collaborative distances:
Collaborative distances:
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Bibliography
2021
Dynamic model change analysis of social behavior processes during the COVID19 pandemic.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
2020
Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
2017
Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets.
J. Artif. Intell. Soft Comput. Res., 2017
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017
2016
Integr. Comput. Aided Eng., 2016
Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
2015
IEEE Geosci. Remote. Sens. Lett., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
2013
Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2011
A Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series.
Computación y Sistemas, 2011
2010
An Approach for Time Series Forecasting by Simulating Stochastic Processes Through Time Lagged Feed-forward Neural Network.
Proceedings of The 2010 International Conference on Data Mining, 2010
2008
A Statistically Dependent Approach for the Monthly Rainfall Forecastfrom One Point Observations.
Proceedings of the Computer and Computing Technologies in Agriculture II, Volume 2, 2008
2006
A Neuro-Dynamic Programming-Based Optimal Controller for Tomato Seedling Growth in Greenhouse Systems.
Neural Process. Lett., 2006
2004
Neuro-dynamic programming-based optimal control for crop growth in precision agriculture.
Proceedings of the Intelligent Control, 2004