Julián A. Pucheta

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 8

Top Topics

Image Classification

Top Venues

Integr. Comput. Aided Eng.

Publications

Julián A. Pucheta, Sergio Laboret, H. Daniel Patiño, Carlos A. Salas, Cristian Rodriguez Rivero, Martín R. Herrera
Dynamic model change analysis of social behavior processes during the COVID19 pandemic. CSCI (2021)
Cristian Rodriguez Rivero, Julián A. Pucheta, H. Daniel Patiño, Paula Otaño, Leonardo Franco, Gustavo Juárez
Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets. ICIC (3) (2020)
Cristian Rodriguez Rivero, Yván Túpac, Julián A. Pucheta, Gustavo Juárez, Leonardo Franco, Paula Otaño
Time-series prediction with BEMCA approach: Application to short rainfall series. LA-CCI (2017)
Josef Baumgartner, Ana Georgina Flesia, Javier Gimenez, Julián A. Pucheta
A new image segmentation framework based on two-dimensional hidden Markov models. Integr. Comput. Aided Eng. 23 (1) (2016)
Cristian Rodriguez Rivero, Julián A. Pucheta, Sergio Laboret, Vìctor Sauchelli, Alvaro David Orjuela-Cañón, Leonardo Franco
Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series. LA-CCI (2016)
Javier A. Redolfi, Jorge A. Sánchez, Julián A. Pucheta
Fisher Vectors for Leaf Image Classification: An Experimental Evaluation. CIARP (2015)
Marc Thibeault, Juan Manuel Caceres, Danilo Dadamia, Alvaro G. Soldano, Marcelo Uriburu Quirno, Juan Martin Guerrieri, Rodrigo Edrosa, Matias Palomeque, Luciano Romaldi, Julián A. Pucheta, Jonatan Mogadouro, Ezequiel De Luca, Santiago Bustos Revol, Sebastián Aguero, Ignacio Pascual, Mauro Mariotti d'Alessandro
Spatial and temporal analysis of the Monte Buey SAOCOM and SMAP core site. IGARSS (2015)
Josef Baumgartner, Javier Gimenez, Marcelo C. Scavuzzo, Julián A. Pucheta
A New Approach to Segmentation of Multispectral Remote Sensing Images Based on MRF. IEEE Geosci. Remote. Sens. Lett. 12 (8) (2015)
Cristian Rodrìguez Rivero, Julián A. Pucheta, Hector D. Patiño, Josef Baumgartner, Sergio Laboret, Vìctor Sauchelli
Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series. IJCNN (2013)
Julián A. Pucheta, Cristian Rodrìguez Rivero, Martín R. Herrera, Carlos A. Salas, H. Daniel Patiño, Benjamín R. Kuchen
A Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series. Computación y Sistemas 14 (4) (2011)
Cristian Rodrìguez Rivero, Julián A. Pucheta, Josef Baumgartner, Hector D. Patiño, Benjamín R. Kuchen
An Approach for Time Series Forecasting by Simulating Stochastic Processes Through Time Lagged Feed-forward Neural Network. DMIN (2010)
Julián A. Pucheta, H. Daniel Patiño, Benjamín R. Kuchen
A Statistically Dependent Approach for the Monthly Rainfall Forecastfrom One Point Observations. CCTA (2) (2008)
Julián A. Pucheta, Hector D. Patiño, R. Fullana, Carlos Schugurensky, Benjamín R. Kuchen
A Neuro-Dynamic Programming-Based Optimal Controller for Tomato Seedling Growth in Greenhouse Systems. Neural Process. Lett. 24 (3) (2006)
Hector D. Patiño, Julián A. Pucheta, R. Fullana, Carlos Schugurensky, Benjamín R. Kuchen
Neuro-dynamic programming-based optimal control for crop growth in precision agriculture. ISIC (2004)