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 (DMIN, 2010)

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)

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 (IJCNN, 2013)

Short-term rainfall time series prediction with incomplete data. - Cristian Rodriguez Rivero; Hector Daniel Patiño; Juliàn Antonio Pucheta (IJCNN, 2015)

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 (LA-CCI, 2016)

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 (LA-CCI, 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)

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 (ICIC (3), 2020)

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 (CSCI, 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 (NLPIR, 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)

Weed Recognition in Sesame Field Using Computer Vision Algorithms. - Uchechukwu Ngozi Nwachukwu; Cristian Rodriguez Rivero (CSCI, 2022)

Optimized Vehicle Repair Cost by Means of Smart Repair Distribution Model. - Franck van der Sluis; Cristian Rodriguez Rivero; Joris Hooi (ACR, 2024)

A Web-Based Interface That Leverages Machine Learning to Assess an Individual's Vulnerability to Brain Stroke. - Divyansh Bhandari; Arnav Agarwal; R. Reena Roy; Rajaram Priyatharshini; Cristian Rodrìguez Rivero (IEEE Access, 2025)