Enrique González Rodrigo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Instance Based Learning

Similarity Function

Unsupervised Manner

Top Venues

Expert Syst. J. Knowl. Eng.

WIREs Data Mining Knowl. Discov.

J. Mach. Learn. Res.

Publications

Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez
Label ranking oblique trees. Knowl. Based Syst. 296 (2024)
Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez
Efficient ensembles of distance-based label ranking trees. Expert Syst. J. Knowl. Eng. 41 (4) (2024)
Enrique González Rodrigo, Juan Carlos Alfaro, Juan A. Aledo, José A. Gámez
Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem. Entropy 23 (4) (2021)
Luis de la Ossa, Pablo Bermejo, Juan A. Aledo, José A. Gámez, José Miguel Puerta, Cristina Romero-González, Jacinto Arias, Javier Cózar, Enrique González Rodrigo, Juan Ignacio Alonso-Barba, Jesus Martínez-Gómez
CiDAEN: An Online Data Science Course. HELMeTO (2019)
Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering. Prog. Artif. Intell. 8 (3) (2019)
Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
spark-crowd: A Spark Package for Learning from Crowdsourced Big Data. J. Mach. Learn. Res. 20 (2019)
Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
Machine learning from crowds: A systematic review of its applications. WIREs Data Mining Knowl. Discov. 9 (2) (2019)
Juan Carlos Alfaro, Enrique González Rodrigo, Juan A. Aledo, José Antonio Gámez
A Probabilistic Graphical Model-Based Approach for the Label Ranking Problem. ECSQARU (2019)
Enrique González Rodrigo, Juan A. Aledo, José A. Gámez
CGLAD: Using GLAD in Crowdsourced Large Datasets. IDEAL (1) (2018)