Cloud Nowcasting with Structure-Preserving Convolutional Gated Recurrent Units
Kellerhals, Samuel A., De Leeuw, Fons, Rodriguez Rivero, Cristian
Published in Atmosphere (01.10.2022)
Published in Atmosphere (01.10.2022)
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Journal Article
Public Decision Policy for Controlling COVID-19 Outbreaks Using Control System Engineering
Patiño, H. Daniel, Pucheta, Julián, Rivero, Cristian Rodríguez, Tosetti, Santiago
Published in COVID (01.01.2024)
Published in COVID (01.01.2024)
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Journal Article
A user-friendly algorithm for adaptive closed-loop phase-locked stimulation
Rodriguez Rivero, Cristian, Ditterich, Jochen
Published in Journal of neuroscience methods (01.01.2021)
Published in Journal of neuroscience methods (01.01.2021)
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Journal Article
Noisy Chaotic time series forecast approximated by combining Reny's entropy with Energy associated to series method: application to rainfall series
Rodriguez Rivero, Cristian, Pucheta, Julian, Orjuela Canon, Alvaro, Franco, Leonardo, Tupac Valdivia, Yvan, Otano, Paula, Sauchelli, Victor
Published in Revista IEEE América Latina (2017)
Published in Revista IEEE América Latina (2017)
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Journal Article
Traditional vs. Machine-Learning Methods for Forecasting Sandy Shoreline Evolution Using Historic Satellite-Derived Shorelines
Calkoen, Floris, Luijendijk, Arjen, Rivero, Cristian Rodriguez, Kras, Etienne, Baart, Fedor
Published in Remote sensing (Basel, Switzerland) (01.03.2021)
Published in Remote sensing (Basel, Switzerland) (01.03.2021)
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Journal Article
Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets
Rivero, Cristian Rodrìguez, Pucheta, Juliàn, Laboret, Sergio, Sauchelli, Vìctor, Patiǹo, Daniel
Published in Journal of Artificial Intelligence and Soft Computing Research (01.01.2017)
Published in Journal of Artificial Intelligence and Soft Computing Research (01.01.2017)
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Journal Article
Bayesian Inference for Training of Long Short Term Memory Models in Chaotic Time Series Forecasting
Rivero, Cristian Rodríguez, Pucheta, Julián, Patiño, Daniel, Puglisi, Jose Luis, Otaño, Paula, Franco, Leonardo, Juarez, Gustavo, Gorrostieta, Efrén, Orjuela-Cañón, Alvaro David
Published in Applications of Computational Intelligence
Published in Applications of Computational Intelligence
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Book Chapter
A New Approach for Time Series Forecasting: Bayesian Enhanced by Fractional Brownian Motion with Application to Rainfall Series
Rodriguez, Cristian, Patino Author, Daniel, Pucheta, Julian, Sauchelli, Victor
Published in International journal of advanced computer science & applications (01.01.2016)
Published in International journal of advanced computer science & applications (01.01.2016)
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Journal Article
Rainfall Forecasting Using Sub sampling Nonparametric Methods
Pucheta, J., Rodriguez Rivero, Cristian, Herrera, M., Salas, C., Sauchelli, V.
Published in Revista IEEE América Latina (01.02.2013)
Published in Revista IEEE América Latina (01.02.2013)
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Journal Article
Very short term forecasting in global solar irradiance using linear and nonlinear models
Orjuela-Canon, Alvaro D., Hernandez, Johann, Rodriguez Rivero, Cristian
Published in 2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA) (01.05.2017)
Published in 2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA) (01.05.2017)
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Conference Proceeding
Time-series prediction with BEMCA approach: Application to short rainfall series
Rivero, Cristian Rodriguez, Tupac, Yvan, Pucheta, Julian, Juarez, Gustavo, Franco, Leonardo, Otano, Paula
Published in 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) (01.11.2017)
Published in 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI) (01.11.2017)
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Conference Proceeding
Time Series Forecasting using Recurrent Neural Networks modified by Bayesian Inference in the Learning Process
Rivero, Cristian Rodriguez, Pucheta, Julian, Otano, Paula, Orjuela-Canon, Alvaro David, Patino, Daniel, Franco, Leonardo, Gorrostieta, Efren, Puglisi, Jose Luis, Juarez, Gustavo
Published in 2019 IEEE Colombian Conference on Applications in Computational Intelligence (ColCACI) (01.06.2019)
Published in 2019 IEEE Colombian Conference on Applications in Computational Intelligence (ColCACI) (01.06.2019)
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Conference Proceeding
On predicting wind power series by using Bayesian Enhanced modified based-neural network
Rodriguez Rivero, Cristian, Pucheta, Julian, Otano, Paula, Valdivia, Yvan Tupac, Gorrostieta, Efren, Laboret, Sergio
Published in 2017 XVII Workshop on Information Processing and Control (RPIC) (01.09.2017)
Published in 2017 XVII Workshop on Information Processing and Control (RPIC) (01.09.2017)
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Conference Proceeding
Long-term power consumption demand prediction: A comparison of energy associated and Bayesian modeling approach
Rodriguez Rivero, Cristian, Sauchelli, Victor, Daniel Patino, Hector, Pucheta, Julian Antonio, Laboret, Sergio
Published in 2015 Latin America Congress on Computational Intelligence (LA-CCI) (01.10.2015)
Published in 2015 Latin America Congress on Computational Intelligence (LA-CCI) (01.10.2015)
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Conference Proceeding
Short-term rainfall time series prediction with incomplete data
Rodriguez Rivero, Cristian, Patino, Hector Daniel, Pucheta, Julian Antonio
Published in 2015 International Joint Conference on Neural Networks (IJCNN) (01.07.2015)
Published in 2015 International Joint Conference on Neural Networks (IJCNN) (01.07.2015)
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Conference Proceeding
Journal Article
Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series
Rodriguez Rivero, Cristian, Pucheta, Julian, Laboret, Sergio, Sauchelli, Victor, Orjuela-Canon, Alvaro David, Franco, Leonardo
Published in 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI) (01.11.2016)
Published in 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI) (01.11.2016)
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Conference Proceeding