A neural network based feedforward adaptive controller for robots. - Ricardo O. Carelli; Eduardo F. Camacho; H. Daniel Patiño (IEEE Trans. Syst. Man Cybern., 1995)

Neural network-based model reference adaptive control system. - H. Daniel Patiño; Derong Liu 001 (IEEE Trans. Syst. Man Cybern. Part B, 2000)

Neural networks for advanced control of robot manipulators. - H. Daniel Patiño; Ricardo O. Carelli; Benjamín R. Kuchen (IEEE Trans. Neural Networks, 2002)

Neural network-based optimal control for autonomous mobile vehicle navigation. - Hector Daniel Patiño; Ricardo O. Carelli (ISIC, 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 (ISIC, 2004)

New Evolutionary Algorithm based on Mathematical Model of Evolution of a Species. - Celso De La Cruz; Hector D. Patiño; Ricardo O. Carelli (IEEE Congress on Evolutionary Computation, 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)

A new inventory level APIOBPCS-based controller. - Santiago Tosetti; H. Daniel Patiño; Flavio Capraro; Adrian Gambier (ACC, 2008)

Neural Network-Based Irrigation Control for Precision Agriculture. - Flavio Capraro; H. Daniel Patiño; Santiago Tosetti; Carlos Schugurensky (ICNSC, 2008)

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

Adaptive Critic Designs-based autonomous unmanned vehicles navigation: Application to robotic farm vehicles. - H. Daniel Patiño; Santiago Tosetti; Flavio Capraro (ADPRL, 2009)

Mobile robot self-localization system using IR-UWB sensor in indoor environments. - Marcelo J. Segura; Vicente A. Mut; Hector D. Patiño (ROSE, 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)

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)

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)

Approximate dynamic programming based controller for a production-inventory system. - Santiago Tosetti; Flavio Capraro; H. Daniel Patiño (ICNSC, 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)

Optimized UD filtering algorithm for floating-point hardware execution. - Rodrigo González; Gustavo Suiter; Hector Daniel Patiño (FUSION, 2014)

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

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)

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)

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)