Juan C. Alfaro

According to our database, Juan C. Alfaro authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

Federated Learning of AnDE Classifiers.

Pablo Torrijos, Juan C. Alfaro, José A. Gámez, José M. Puerta

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

A Comparative Analysis of Rank Aggregation Methods for the Partial Label Ranking Problem.

Jiayi Wang, Juan C. Alfaro, Viktor Bengs

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Efficient ensembles of distance-based label ranking trees.

Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez

Expert Syst. J. Knowl. Eng., April, 2024

Label ranking oblique trees.

Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez

Knowl. Based Syst., 2024

Federated Learning with Discriminative Naive Bayes Classifier.

Pablo Torrijos, Juan C. Alfaro, José A. Gámez, José M. Puerta

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

MORE-PLR: Multi-Output Regression Employed for Partial Label Ranking.

Santo M. A. R. Thies, Juan C. Alfaro, Viktor Bengs

Proceedings of the Discovery Science - 27th International Conference, 2024

2023

Multi-dimensional Bayesian network classifiers for partial label ranking.

Juan C. Alfaro, Juan A. Aledo, José A. Gámez

Int. J. Approx. Reason., September, 2023

Pairwise learning for the partial label ranking problem.

Juan C. Alfaro, Juan A. Aledo, José A. Gámez

Pattern Recognit., August, 2023

2022

Integrating Bayesian network classifiers to deal with the partial label ranking problem.

Juan C. Alfaro, Juan A. Aledo, José A. Gámez

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

Learning decision trees for the partial label ranking problem.

Juan C. Alfaro, Juan A. Aledo, José A. Gámez

Int. J. Intell. Syst., 2021

Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem.

Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez

Entropy, 2021

Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem.

Juan C. Alfaro, Juan A. Aledo, José A. Gámez

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020

Averaging-Based Ensemble Methods for the Partial Label Ranking Problem.

Juan C. Alfaro, Juan A. Aledo, José A. Gámez

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019

A Probabilistic Graphical Model-Based Approach for the Label Ranking Problem.

Juan Carlos Alfaro Jiménez, Enrique González Rodrigo, Juan A. Aledo, José Antonio Gámez

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019