Takip et
Cristian Rodriguez Rivero
Cristian Rodriguez Rivero
Associate Professor in AI
upc.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Traditional vs. Machine-Learning Methods for Forecasting Sandy Shoreline Evolution Using Historic Satellite-Derived Shorelines
FB Floris Calkoen,Arjen Luijendijk,Cristian Rodriguez Rivero,Etienne Kras
Remote Sensing 13 (5), 934, 2021
402021
Time series forecasting using bayesian method: Application to cumulative rainfall
CR Rivero, J Pucheta, M Herrera, V Sauchelli, S Laboret
IEEE Latin America Transactions 11 (1), 359-364, 2013
352013
Energy associated tuning method for short-term series forecasting by complete and incomplete datasets
CR Rivero, J Pucheta, S Laboret, V Sauchelli, D Patiǹo
Journal of Artificial Intelligence and Soft Computing Research 7 (1), 5-16, 2017
262017
Very short term forecasting in global solar irradiance using linear and nonlinear models
AD Orjuela-Cañón, J Hernández, CR Rivero
2017 IEEE workshop on power electronics and power quality applications …, 2017
232017
A feed-forward neural networks-based nonlinear autoregressive model for forecasting time series
JA Pucheta, CM Rodríguez Rivero, MR Herrera, CA Salas, ...
Computación y Sistemas 14 (4), 423-435, 2011
202011
A new approach for time series forecasting: bayesian enhanced by fractional brownian motion with application to rainfall series
CR Rivero, D Patiño, J Pucheta, V Sauchelli
International Journal of Advanced Computer Science and Applications 7 (3), 2016
192016
Rainfall forecasting using sub sampling nonparametric methods
J Pucheta, CR Rivero, M Herrera, C Salas, V Sauchelli
IEEE Latin America Transactions 11 (1), 646-650, 2013
172013
Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series
CR Rivero, J Pucheta, H Patiño, J Baumgartner, S Laboret, V Sauchelli
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-6, 2013
142013
Aspect-based sentiment analysis of social media data with pre-trained language models
A Troya, R Gopalakrishna Pillai, DC Rodriguez Rivero, DZ Genc, ...
Proceedings of the 2021 5th International Conference on Natural Language …, 2021
122021
Principles of Data Science
HR Arabnia, K Daimi, R Stahlbock, C Soviany, L Heilig, K Brüssau
Springer, 2020
122020
Short-series Prediction with BEMA Approach: application to short rainfall series
CR Rivero, JA Pucheta, JS Baumgartner, SO Laboret, VH Sauchelli, ...
IEEE Latin America Transactions 14 (8), 3892-3899, 2016
122016
Short time series prediction: Bayesian Enhanced modified Approach with application to cumulative rainfall series
CR Rivero, JA Pucheta, VH Sauchelli, HD Patiño
International Journal of Innovative Computing and Applications 7 (3), 153-162, 2016
122016
Short-term rainfall time series prediction with incomplete data
CR Rivero, HD Patiño, JA Pucheta
2015 international joint conference on neural networks (IJCNN), 1-6, 2015
122015
Artificial Neural Networks and Machine Learning–ICANN 2019: Deep Learning: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019 …
IV Tetko, V Kůrková, P Karpov, F Theis
Springer Nature, 2019
112019
Forecasting short time series with missing data by means of energy associated to series
CR Rivero, J Pucheta, S Laboret, D Patiño, V Sauchelli
Applied mathematics 6 (09), 1611, 2015
112015
Cloud Nowcasting with Structure-Preserving Convolutional Gated Recurrent Units.
SA Kellerhals, F De Leeuw, C Rodriguez Rivero
Atmosphere, 2022
102022
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
102019
Long-term power consumption demand prediction: A comparison of energy associated and Bayesian modeling approach
CR Rivero, V Sauchelli, HD Patiño, JA Pucheta, S Laboret
2015 Latin America Congress on Computational Intelligence (LA-CCI), 1-6, 2015
102015
A NN-based model for time series forecasting in function of energy associated of series
CR Rivero, J Pucheta, J Baumgartner, M Herrera, D Patiño, B Kuchen
Proceedings of the 2011 international conference on applied, numerical and …, 2011
102011
Modelos no lineales de pronóstico de series temporales basados en inteligencia computacional para soporte en la toma de decisiones agrícolas
C Rodríguez Rivero
Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y …, 2016
92016
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