selected publications artículo académico Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent. IEEE Transactions on Cybernetics. 50:1072-1083. 2020 An efficient method for clustered multi-metric learning. Information Sciences. 471:149-163. 2019 Solutions To Storage Spaces Allocation Problem for Import Containers by Exact and Heuristic Methods. Computación y Sistemas. 23. 2019 Distance metric learning for ordinal classification based on triplet constraints. Knowledge-Based Systems. 142:17-28. 2018 Effective active learning strategy for multi-label learning. Neurocomputing. 273:494-508. 2018 Distance metric learning with the Universum. Pattern Recognition Letters. 100:37-43. 2017 QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations. Journal of Cheminformatics. 9:35. 2017 Supervised distance metric learning through maximization of the Jeffrey divergence. Pattern Recognition. 64:215-225. 2017 An algorithm evaluation for discovering classification rules with gene expression programming. International Journal of Computational Intelligence Systems. 9:263. 2016 Effective lazy learning algorithm based on a data gravitation model for multi-label learning. Information Sciences. 340-341:159-174. 2016 Large-scale distance metric learning for k-nearest neighbors regression. Neurocomputing. 214:805-814. 2016 Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set. Molecular Informatics. 34:308-330. 2015 A Comparative Study of Nonlinear Machine Learning for the “In Silico” Depiction of Tyrosinase Inhibitory Activity from Molecular Structure. Molecular Informatics. 30:527-537. 2011 Desirability-Based Methods of Multiobjective Optimization and Ranking for Global QSAR Studies. Filtering Safe and Potent Drug Candidates from Combinatorial Libraries. Journal of Combinatorial Chemistry. 10:897-913. 2008 capítulo Scalable Generalized Multitarget Linear Regression With Output Dependence Estimation. Progress in Artificial Intelligence and Pattern Recognition. 60-68. 2021 ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 528-535. 2013 A Connectionist Fuzzy Case-Based Reasoning Model. Lecture Notes in Computer Science. 176-185. 2006 Extending a Hybrid CBR-ANN Model by Modeling Predictive Attributes Using Fuzzy Sets. Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. 238-248. 2006 conference paper A local complexity based combination method for decision forests trained with high-dimensional data 2012 Learning similarity metric to improve the performance of lazy multi-label ranking algorithms 2012