| High precision FPGA implementation of neural network activation functions F Ortega-Zamorano, JM Jerez, G Juárez, JO Pérez, L Franco 2014 IEEE symposium on intelligent embedded systems (IES), 55-60, 2014 | 31 | 2014 |
| FPGA implementation of neurocomputational models: comparison between standard back-propagation and C-Mantec constructive algorithm F Ortega-Zamorano, JM Jerez, GE Juárez, L Franco Neural Processing Letters 46, 899-914, 2017 | 11 | 2017 |
| Simnet: Simulation-based exercises for computer network curriculum through gamification and augmented reality MG Gramajo, FT Lezcano, SG Lobo, G Juarez, AL Fraga 2018 IEEE World engineering education conference (EDUNINE), 1-5, 2018 | 7 | 2018 |
| Time series forecasting using recurrent neural networks modified by bayesian inference in the learning process CR Rivero, J Pucheta, P Otaño, AD Orjuela-Cañon, D Patiño, L Franco, ... 2019 IEEE Colombian Conference on Applications in Computational Intelligence …, 2019 | 6 | 2019 |
| Time-series prediction with BEMCA approach: Application to short rainfall series CR Rivero, Y Tupac, J Pucheta, G Juarez, L Franco, P Otaño 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2017 | 5 | 2017 |
| Bayesian enhanced ensemble approach (BEEA) for time series forecasting CR Rivero, J Pucheta, P Otaño, G Juárez, L Franco, D Patiño, R Velazco 2018 IEEE Biennial Congress of Argentina (ARGENCON), 1-7, 2018 | 4 | 2018 |
| FPGA implementation comparison between C-Mantec and Back-Propagation neural network algorithms F Ortega-Zamorano, JM Jerez, G Juárez, L Franco Advances in Computational Intelligence: 13th International Work-Conference …, 2015 | 4 | 2015 |
| Poster: SIMNET: Simulation-based exercises for computer network curriculum through gamification and augmented reality AL Fraga, MG Gramajo, F Trejo, S Garcia, G Juarez, L Franco Smart Industry & Smart Education: Proceedings of the 15th International …, 2019 | 3 | 2019 |
| On the approximate suboptimal control by neural network-rainfall observer CR Rivero, J Pucheta, D Patiño, S Laboret, G Juárez, V Sauchelli 2016 IEEE Biennial Congress of Argentina (ARGENCON), 1-8, 2016 | 3 | 2016 |
| A combined approach for long-term series prediction: Renyi permutation entropy with BEA predictor filter CR Rivero, J Pucheta, D Patiño, S Laboret, G Juárez, V Sauchelli 2016 IEEE Biennial Congress of Argentina (ARGENCON), 1-5, 2016 | 3 | 2016 |
| Myoelectric signal processing using time-frequency distribution J Perez, HN Ferrao, GE Juarez IEEE Latin America Transactions 11 (1), 246-250, 2013 | 3 | 2013 |
| Bayesian inference for training of long short term memory models in chaotic time series forecasting CR Rivero, J Pucheta, D Patiño, JL Puglisi, P Otaño, L Franco, G Juarez, ... Applications of Computational Intelligence: Second IEEE Colombian Conference …, 2019 | 2 | 2019 |
| The Fuzzy Control Algorithm PC Rovarini, R Fanjul, G Juarez Laboratory Report 1-06, Laboratorio de Inteligencia Artificial UNT, 2006 | 2 | 2006 |
| Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets CR Rivero, J Pucheta, D Patiño, P Otaño, L Franco, G Juarez Intelligent Computing Methodologies: 16th International Conference, ICIC …, 2020 | 1 | 2020 |
| Analysis and simulation of social behavior during the COVID-19 pandemic in Argentina, using intelligent agents GE Juárez, FD Menéndez, CH Lafuente, J Pérez, L Franco, CR Rivero 2022 IEEE World Engineering Education Conference (EDUNINE), 1-6, 2022 | | 2022 |
| La dimensión social de la justicia como reguladora del desarrollo científico-tecnológico: su impacto en biotecnología, energías renovabes e inteligencia artificial R Chehín, JC Díaz Ricci, E Pedraza, E Vera Pingitore, A Bestani, ... Tirant lo Blach, 2020 | | 2020 |
| Inteligencia Artificial y Tecnologías de la información y la Comunicación GE Juárez, KEI Soto, MOY Cáceres La dimensión social de la justicia como reguladora del desarrollo científico …, 2020 | | 2020 |
| Time Series Forecasting using Recurrent Neural Networks modified by Bayesian Inference in the Learning Process C Rodriguez Rivero, J Pucheta, P Otaño, AD Orjuela-Cañon, D Patiño, ... Piscataway, NJIEEE, 2019 | | 2019 |
| Bayesian Inference for Training of Long Short Term Memory Models in Chaotic Time Series Forecasting C Rodríguez Rivero, J Pucheta, D Patiño, JL Puglisi, P Otaño, L Franco, ... ChamSpringer, 2019 | | 2019 |
| Adaptive Identification for Self-Tuning Controllers Design RV Fadel, JO Perez, CM Formigli, GE Juárez 2018 Argentine Conference on Automatic Control (AADECA), 1-6, 2018 | | 2018 |
Leonardo FrancoFull Professor - Malaga University - SpainEmail verificata su lcc.uma.es
