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ORCIDCristian Rodrìguez Rivero
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2020 – today
- 2024
[c10]Franck van der Sluis, Cristian Rodriguez Rivero
, Joris Hooi:
Optimized Vehicle Repair Cost by Means of Smart Repair Distribution Model. ACR 2024: 172-183- 2022
- [c9]Uchechukwu Ngozi Nwachukwu, Cristian Rodriguez Rivero:
Weed Recognition in Sesame Field Using Computer Vision Algorithms. CSCI 2022: 1461-1470 - 2021
- [j3]Floris Calkoen, Arjen Luijendijk, Cristian Rodriguez Rivero, Etienne Kras, Fedor Baart:
Traditional vs. Machine-Learning Methods for Forecasting Sandy Shoreline Evolution Using Historic Satellite-Derived Shorelines. Remote. Sens. 13(5): 934 (2021) - [c8]Julián A. Pucheta, Sergio Laboret, H. Daniel Patiño, Carlos A. Salas, Cristian Rodriguez Rivero, Martín R. Herrera:
Dynamic model change analysis of social behavior processes during the COVID19 pandemic. CSCI 2021: 1381-1387 - [c7]Anina Troya, Reshmi Gopalakrishna Pillai, Cristian Rodriguez Rivero, Zulkuf Genc, Subhradeep Kayal, Dogu Araci:
Aspect-Based Sentiment Analysis of Social Media Data With Pre-Trained Language Models. NLPIR 2021: 8-17 - 2020
- [c6]Cristian Rodriguez Rivero, Julián A. Pucheta, H. Daniel Patiño, Paula Otaño, Leonardo Franco, Gustavo Juárez:
Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets. ICIC (3) 2020: 258-270
2010 – 2019
- 2017
- [j2]Cristian Rodrìguez Rivero, Juliàn A. Pucheta, Sergio Laboret, Vìctor Sauchelli, H. Daniel Patiño:
Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets. J. Artif. Intell. Soft Comput. Res. 7(1): 5 (2017) - [c5]Cristian Rodriguez Rivero, Yván Túpac, Julián A. Pucheta, Gustavo Juárez, Leonardo Franco, Paula Otaño:
Time-series prediction with BEMCA approach: Application to short rainfall series. LA-CCI 2017: 1-6 - 2016
- [c4]Cristian Rodriguez Rivero, Julián A. Pucheta, Sergio Laboret, Vìctor Sauchelli, Alvaro David Orjuela-Cañón, Leonardo Franco:
Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series. LA-CCI 2016: 1-6 - 2015
- [c3]Cristian Rodriguez Rivero, Hector Daniel Patiño, Juliàn Antonio Pucheta:
Short-term rainfall time series prediction with incomplete data. IJCNN 2015: 1-6 - 2013
- [c2]Cristian Rodrìguez Rivero, Julián A. Pucheta, Hector D. Patiño, Josef Baumgartner, Sergio Laboret, Vìctor Sauchelli:
Analysis of a Gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series. IJCNN 2013: 1-6 - 2011
- [j1]Julián A. Pucheta, Cristian Rodrìguez Rivero, Martín R. Herrera, Carlos A. Salas, H. Daniel Patiño, Benjamín R. Kuchen:
A Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series. Computación y Sistemas 14(4) (2011) - 2010
- [c1]Cristian Rodrìguez Rivero, Julián A. Pucheta, Josef Baumgartner, Hector D. Patiño, Benjamín R. Kuchen:
An Approach for Time Series Forecasting by Simulating Stochastic Processes Through Time Lagged Feed-forward Neural Network. DMIN 2010: 287-293
Coauthor Index
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last updated on 2024-08-05 21:13 CEST by the dblp team
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