Ricardo L. Talavera-Llames

According to our database, Ricardo L. Talavera-Llames authored at least 5 papers between 2016 and 2019.

Collaborative distances:

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

2019

Multi-step forecasting for big data time series based on ensemble learning.

Antonio Galicia, Ricardo L. Talavera-Llames, Alicia Troncoso Lora, Irena Koprinska, Francisco Martínez-Álvarez

Knowl. Based Syst., 2019

MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting.

Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso, Francisco Martínez-Álvarez

Neurocomputing, 2019

2018

Big data time series forecasting based on nearest neighbours distributed computing with Spark.

Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso Lora, Francisco Martínez-Álvarez

Knowl. Based Syst., 2018

2016

A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting.

Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Finding Electric Energy Consumption Patterns in Big Time Series Data.

Rubén Pérez-Chacón, Ricardo L. Talavera-Llames, Francisco Martínez-Álvarez, Alicia Troncoso Lora

Proceedings of the Distributed Computing and Artificial Intelligence, 2016