Regularization for Graph-Based Transfer Learning Text Classification. - Cristián Serpell; Héctor Allende; Carlos Valle (CIARP, 2018)

Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks. - Cristián Serpell; Ignacio Alejandro Araya Galleguillos; Carlos Valle; Héctor Allende (CIARP, 2019)

Multi-step probabilistic forecasting model using deep learning parametrized distributions. - Cristián Serpell; Carlos Valle; Héctor Allende (Soft Comput., 2023)

Enhancing short-term probabilistic load forecasting and scenario generation with tailored kernel functions in mixture density networks. - Tomás Ochoa; Cristián Serpell; Carlos Valle; Esteban Gil (Expert Syst. Appl., 2025)