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ORCIDEnrique González Rodrigo
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2020 – today
- 2024
[j6]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)- [j5]Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez:
Label ranking oblique trees. Knowl. Based Syst. 296: 111882 (2024) - 2021
- [j4]Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez:
Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem. Entropy 23(4): 420 (2021)
2010 – 2019
- 2019
- [j3]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: 19:1-19:5 (2019) - [j2]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): 389-399 (2019) - [j1]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) - [c3]Juan Carlos Alfaro Jiménez, Enrique González Rodrigo, Juan A. Aledo, José Antonio Gámez:
A Probabilistic Graphical Model-Based Approach for the Label Ranking Problem. ECSQARU 2019: 351-362 - [c2]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: 113-124 - 2018
- [c1]Enrique González Rodrigo, Juan A. Aledo, José A. Gámez:
CGLAD: Using GLAD in Crowdsourced Large Datasets. IDEAL (1) 2018: 783-791
Coauthor Index
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