A Probabilistic Graphical Model-Based Approach for the Label Ranking Problem. - Juan Carlos Alfaro Jiménez; Enrique González Rodrigo; Juan A. Aledo; José Antonio Gámez (ECSQARU, 2019)

Averaging-Based Ensemble Methods for the Partial Label Ranking Problem. - Juan C. Alfaro; Juan A. Aledo; José A. Gámez 001 (HAIS, 2020)

Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem. - Juan C. Alfaro; Juan A. Aledo; José A. Gámez 001 (IDEAL, 2021)

Mixture-Based Probabilistic Graphical Models for the Label Ranking Problem. - Enrique González Rodrigo; Juan C. Alfaro; Juan A. Aledo; José A. Gámez 001 (Entropy, 2021)

Learning decision trees for the partial label ranking problem. - Juan C. Alfaro; Juan A. Aledo; José A. Gámez 001 (Int. J. Intell. Syst., 2021)

Integrating Bayesian network classifiers to deal with the partial label ranking problem. - Juan C. Alfaro; Juan A. Aledo; José A. Gámez 001 (PGM, 2022)

Pairwise learning for the partial label ranking problem. - Juan C. Alfaro; Juan A. Aledo; José A. Gámez 001 (Pattern Recognit., 2023)

Multi-dimensional Bayesian network classifiers for partial label ranking. - Juan C. Alfaro; Juan A. Aledo; José A. Gámez 001 (Int. J. Approx. Reason., 2023)

MORE-PLR: Multi-Output Regression Employed for Partial Label Ranking. - Santo M. A. R. Thies; Juan C. Alfaro; Viktor Bengs (DS (1), 2024)

Federated Learning with Discriminative Naive Bayes Classifier. - Pablo Torrijos; Juan C. Alfaro; José A. Gámez 001; José M. Puerta (IDEAL (2), 2024)

Label ranking oblique trees. - Enrique González Rodrigo; Juan C. Alfaro; Juan A. Aledo; José A. Gámez 001 (Knowl. Based Syst., 2024)

Efficient ensembles of distance-based label ranking trees. - Enrique González Rodrigo; Juan C. Alfaro; Juan A. Aledo; José A. Gámez 001 (Expert Syst. J. Knowl. Eng., 2024)

A comparative analysis of rank aggregation methods for the partial label ranking problem. - Jiayi Wang; Juan C. Alfaro; Viktor Bengs (CoRR, 2025)