Neuro-dynamic programming-based optimal control for crop growth in precision agriculture. - Hector D. Patiño; Julián A. Pucheta; R. Fullana; Carlos Schugurensky; Benjamín R. Kuchen (ISIC, 2004)

A Neuro-Dynamic Programming-Based Optimal Controller for Tomato Seedling Growth in Greenhouse Systems. - Julián A. Pucheta; Hector D. Patiño; R. Fullana; Carlos Schugurensky; Benjamín R. Kuchen (Neural Process. Lett., 2006)

A Statistically Dependent Approach for the Monthly Rainfall Forecastfrom One Point Observations. - Julián A. Pucheta; H. Daniel Patiño; Benjamín R. Kuchen (CCTA (2), 2008)

An Approach for Time Series Forecasting by Simulating Stochastic Processes Through Time Lagged Feed-forward Neural Network. - Cristian Rodrìguez Rivero; Julián A. Pucheta; Josef Baumgartner; Hector D. Patiño; Benjamín R. Kuchen (DMIN, 2010)

A Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series. - Julián A. Pucheta; Cristian Rodrìguez Rivero; Martín R. Herrera; Carlos A. Salas; H. Daniel Patiño; Benjamín R. Kuchen (Computación y Sistemas, 2011)

Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series. - Cristian Rodrìguez Rivero; Julián A. Pucheta; Hector D. Patiño; Josef Baumgartner; Sergio Laboret; Vìctor Sauchelli (IJCNN, 2013)

Fisher Vectors for Leaf Image Classification: An Experimental Evaluation. - Javier A. Redolfi; Jorge A. Sánchez 002; Julián A. Pucheta (CIARP, 2015)

Spatial and temporal analysis of the Monte Buey SAOCOM and SMAP core site. - 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; et al. (IGARSS, 2015)

Short-term rainfall time series prediction with incomplete data. - Cristian Rodriguez Rivero; Hector Daniel Patiño; Juliàn Antonio Pucheta (IJCNN, 2015)

A New Approach to Segmentation of Multispectral Remote Sensing Images Based on MRF. - Josef Baumgartner; Javier Gimenez; Marcelo C. Scavuzzo; Julián A. Pucheta (IEEE Geosci. Remote. Sens. Lett., 2015)

Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series. - Cristian Rodriguez Rivero; Julián A. Pucheta; Sergio Laboret; Vìctor Sauchelli; Alvaro David Orjuela-Cañón; Leonardo Franco (LA-CCI, 2016)

A new image segmentation framework based on two-dimensional hidden Markov models. - Josef Baumgartner; Ana Georgina Flesia; Javier Gimenez; Julián A. Pucheta (Integr. Comput. Aided Eng., 2016)

Time-series prediction with BEMCA approach: Application to short rainfall series. - Cristian Rodriguez Rivero; Yván Túpac; Julián A. Pucheta; Gustavo Juárez; Leonardo Franco; Paula Otaño (LA-CCI, 2017)

Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets. - Cristian Rodrìguez Rivero; Juliàn A. Pucheta; Sergio Laboret; Vìctor Sauchelli; H. Daniel Patiño (J. Artif. Intell. Soft Comput. Res., 2017)

Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets. - Cristian Rodriguez Rivero; Julián A. Pucheta; H. Daniel Patiño; Paula Otaño; Leonardo Franco; Gustavo Juárez (ICIC (3), 2020)

Dynamic model change analysis of social behavior processes during the COVID19 pandemic. - Julián A. Pucheta; Sergio Laboret; H. Daniel Patiño; Carlos A. Salas; Cristian Rodriguez Rivero; Martín R. Herrera (CSCI, 2021)