Hector D. Patiño

According to our database, Hector D. Patiño authored at least 24 papers between 1995 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

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.

Cristian Rodriguez Rivero, Julián A. Pucheta, H. Daniel Patiño, Paula Otaño, Leonardo Franco, Gustavo Juárez

Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

2018

A New Approach for Nonlinear Multivariable Fed-Batch Bioprocess Trajectory Tracking Control.

Maria Cecilia Fernández, Santiago Rómoli, Maria Nadia Pantano, Oscar Alberto Ortiz, Hector D. Patiño, Gustavo Juan Eduardo Scaglia

Autom. Control. Comput. Sci., 2018

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

2015

Short-term rainfall time series prediction with incomplete data.

Cristian Rodriguez Rivero, Hector Daniel Patiño, Juliàn Antonio Pucheta

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Optimized UD filtering algorithm for floating-point hardware execution.

Rodrigo González, Gustavo Suiter, Hector Daniel Patiño

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

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

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.

Julián A. Pucheta, Cristian Rodrìguez Rivero, Martín R. Herrera, Carlos A. Salas, H. Daniel Patiño, Benjamín R. Kuchen

Computación y Sistemas, 2011

2010

Approximate dynamic programming based controller for a production-inventory system.

Santiago Tosetti, Flavio Capraro, H. Daniel Patiño

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

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

Proceedings of The 2010 International Conference on Data Mining, 2010

2009

Algoritmo evolutivo para Hardware Evolucionable.

Celso De La Cruz, Teodiano Freire Bastos Filho, Hector D. Patiño, Ricardo O. Carelli

Rev. Avances en Sistemas Informática, 2009

Evolving hardware using a new evolutionary algorithm based on evolution of a species.

Celso De La Cruz, Teodiano Freire Bastos Filho, Hector D. Patiño, Ricardo O. Carelli

Int. J. Bio Inspired Comput., 2009

Mobile robot self-localization system using IR-UWB sensor in indoor environments.

Marcelo J. Segura, Vicente A. Mut, Hector D. Patiño

Proceedings of the 2009 IEEE International Workshop on Robotic and Sensors Environments, 2009

Adaptive Critic Designs-based autonomous unmanned vehicles navigation: Application to robotic farm vehicles.

H. Daniel Patiño, Santiago Tosetti, Flavio Capraro

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008

A Statistically Dependent Approach for the Monthly Rainfall Forecastfrom One Point Observations.

Julián A. Pucheta, H. Daniel Patiño, Benjamín R. Kuchen

Proceedings of the Computer and Computing Technologies in Agriculture II, Volume 2, 2008

Neural Network-Based Irrigation Control for Precision Agriculture.

Flavio Capraro, H. Daniel Patiño, Santiago Tosetti, Carlos Schugurensky

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

A new inventory level APIOBPCS-based controller.

Santiago Tosetti, H. Daniel Patiño, Flavio Capraro, Adrian Gambier

Proceedings of the American Control Conference, 2008

2006

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

New Evolutionary Algorithm based on Mathematical Model of Evolution of a Species.

Celso De La Cruz, Hector D. Patiño, Ricardo O. Carelli

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2004

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

Proceedings of the Intelligent Control, 2004

Neural network-based optimal control for autonomous mobile vehicle navigation.

Hector Daniel Patiño, Ricardo O. Carelli

Proceedings of the Intelligent Control, 2004

2002

Neural networks for advanced control of robot manipulators.

H. Daniel Patiño, Ricardo O. Carelli, Benjamín R. Kuchen

IEEE Trans. Neural Networks, 2002

2000

Neural network-based model reference adaptive control system.

H. Daniel Patiño, Derong Liu

IEEE Trans. Syst. Man Cybern. Part B, 2000

1995

A neural network based feedforward adaptive controller for robots.

Ricardo O. Carelli, Eduardo F. Camacho, H. Daniel Patiño

IEEE Trans. Syst. Man Cybern., 1995