Seguir
Cristian Rodriguez Rivero
Cristian Rodriguez Rivero
Lecturer in Data Science - University of Amsterdam
E-mail confirmado em uva.nl - Página inicial
Título
Citado por
Citado por
Ano
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
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
292021
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
222017
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
182016
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
182011
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
142013
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
132013
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
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
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
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
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
82019
Noisy Chaotic time series forecast approximated by combining Reny's entropy with Energy associated to series method: application to rainfall series
CR Rivero, J Pucheta, AO Canon, L Franco, YT Valdivia, P Otano, ...
IEEE Latin America Transactions 15 (7), 1318-1325, 2017
82017
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
72021
Intelligent Computing Theories and Methodologies: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II
DS Huang, KH Jo, A Hussain
Springer, 2015
72015
Forecasting Rainfall Time Series with stochastic output approximated by neural networks Bayesian approach
CR Rivero, JA Pucheta
International journal of advanced computer science and applications 5 (6), 2014
72014
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–20