Julián A. Pucheta

14 papers B 1C 2Journal 4Unranked 7

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