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ORCIDHector D. Patiño
Person information
- affiliation: National University of San Juan, Advanced Intelligent Systems Lab, Argentina
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2020 – today
- 2020
[c14]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: 258-270
2010 – 2019
- 2018
- [j9]Maria Cecilia Fernández, Santiago Rómoli, Maria Nadia Pantano, Oscar Alberto Ortiz, Hector D. Patiño, Gustavo Juan Eduardo Scaglia:
A New Approach for Nonlinear Multivariable Fed-Batch Bioprocess Trajectory Tracking Control. Autom. Control. Comput. Sci. 52(1): 13-24 (2018) - 2017
- [j8]Cristian Rodrìguez Rivero, Juliàn A. Pucheta, Sergio Laboret, Vìctor Sauchelli, H. Daniel Patiño:
Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets. J. Artif. Intell. Soft Comput. Res. 7(1): 5 (2017) - 2015
- [c13]Cristian Rodriguez Rivero, Hector Daniel Patiño, Juliàn Antonio Pucheta:
Short-term rainfall time series prediction with incomplete data. IJCNN 2015: 1-6 - 2014
- [c12]Rodrigo González, Gustavo Suiter, Hector Daniel Patiño:
Optimized UD filtering algorithm for floating-point hardware execution. FUSION 2014: 1-6 - 2013
- [c11]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: 1-6 - 2011
- [j7]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) - 2010
- [c10]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: 287-293 - [c9]Santiago Tosetti, Flavio Capraro, H. Daniel Patiño:
Approximate dynamic programming based controller for a production-inventory system. ICNSC 2010: 249-254
2000 – 2009
- 2009
- [j6]Celso De La Cruz, Teodiano Freire Bastos Filho, Hector D. Patiño, Ricardo O. Carelli:
Evolving hardware using a new evolutionary algorithm based on evolution of a species. Int. J. Bio Inspired Comput. 1(3): 164-176 (2009) - [j5]Celso De La Cruz, Teodiano Freire Bastos Filho, Hector D. Patiño, Ricardo O. Carelli:
Algoritmo evolutivo para Hardware Evolucionable. Rev. Avances en Sistemas Informática 6(1): 25-34 (2009) - [c8]H. Daniel Patiño, Santiago Tosetti, Flavio Capraro:
Adaptive Critic Designs-based autonomous unmanned vehicles navigation: Application to robotic farm vehicles. ADPRL 2009: 233-237 - [c7]Marcelo J. Segura, Vicente A. Mut, Hector D. Patiño:
Mobile robot self-localization system using IR-UWB sensor in indoor environments. ROSE 2009: 29-34 - 2008
- [c6]Santiago Tosetti, H. Daniel Patiño, Flavio Capraro, Adrian Gambier:
A new inventory level APIOBPCS-based controller. ACC 2008: 2886-2891 - [c5]Flavio Capraro, H. Daniel Patiño, Santiago Tosetti, Carlos Schugurensky:
Neural Network-Based Irrigation Control for Precision Agriculture. ICNSC 2008: 357-362 - [c4]Julián A. Pucheta, H. Daniel Patiño, Benjamín R. Kuchen:
A Statistically Dependent Approach for the Monthly Rainfall Forecastfrom One Point Observations. CCTA (2) 2008: 787-798 - 2006
- [j4]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): 241-260 (2006) - [c3]Celso De La Cruz, Hector D. Patiño, Ricardo O. Carelli:
New Evolutionary Algorithm based on Mathematical Model of Evolution of a Species. IEEE Congress on Evolutionary Computation 2006: 1483-1490 - 2004
- [c2]Hector Daniel Patiño, Ricardo O. Carelli:
Neural network-based optimal control for autonomous mobile vehicle navigation. ISIC 2004: 391-396 - [c1]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: 397-402 - 2002
- [j3]H. Daniel Patiño, Ricardo O. Carelli, Benjamín R. Kuchen:
Neural networks for advanced control of robot manipulators. IEEE Trans. Neural Networks 13(2): 343-354 (2002) - 2000
- [j2]H. Daniel Patiño, Derong Liu:
Neural network-based model reference adaptive control system. IEEE Trans. Syst. Man Cybern. Part B 30(1): 198-204 (2000)
1990 – 1999
- 1995
- [j1]Ricardo O. Carelli, Eduardo F. Camacho, H. Daniel Patiño:
A neural network based feedforward adaptive controller for robots. IEEE Trans. Syst. Man Cybern. 25(9): 1281-1288 (1995)
Coauthor Index
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