Cristián Serpell

According to our database, Cristián Serpell authored at least 4 papers between 2018 and 2025.

Collaborative distances:

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

2025

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

2023

Multi-step probabilistic forecasting model using deep learning parametrized distributions.

Cristián Serpell, Carlos Valle, Héctor Allende

Soft Comput., July, 2023

2019

Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks.

Cristián Serpell, Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018

Regularization for Graph-Based Transfer Learning Text Classification.

Cristián Serpell, Héctor Allende, Carlos Valle

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018