Cristian Rodrìguez Rivero

According to our database, Cristian Rodrìguez Rivero authored at least 12 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Weed Recognition in Sesame Field Using Computer Vision Algorithms.

Uchechukwu Ngozi Nwachukwu, Cristian Rodriguez Rivero

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Traditional vs. Machine-Learning Methods for Forecasting Sandy Shoreline Evolution Using Historic Satellite-Derived Shorelines.

Floris Calkoen, Arjen Luijendijk, Cristian Rodriguez Rivero, Etienne Kras, Fedor Baart

Remote. Sens., 2021

Aspect-Based Sentiment Analysis of Social Media Data With Pre-Trained Language Models.

Anina Troya, Reshmi Gopalakrishna Pillai, Cristian Rodriguez Rivero, Zulkuf Genc, Subhradeep Kayal, Dogu Araci

Proceedings of the NLPIR 2021: 5th International Conference on Natural Language Processing and Information Retrieval, Sanya, China, December 17, 2021

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

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2020

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

Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

2017

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

Time-series prediction with BEMCA approach: Application to short rainfall series.

Cristian Rodriguez Rivero, Yván Túpac, Julián A. Pucheta, Gustavo Juárez, Leonardo Franco, Paula Otaño

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

2016

Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series.

Cristian Rodriguez Rivero, Julián A. Pucheta, Sergio Laboret, Vìctor Sauchelli, Alvaro David Orjuela-Cañón, Leonardo Franco

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

2015

Short-term rainfall time series prediction with incomplete data.

Cristian Rodriguez Rivero, Hector Daniel Patiño, Juliàn Antonio Pucheta

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013

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

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2011

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

2010

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

Proceedings of The 2010 International Conference on Data Mining, 2010