| Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context O Reyes, C Morell, S Ventura Neurocomputing 161, 168-182, 2015 | 203 | 2015 |
| Supervised distance metric learning through maximization of the Jeffrey divergence B Nguyen, C Morell, B De Baets Pattern Recognition 64, 215-225, 2017 | 90 | 2017 |
| Large-scale distance metric learning for k-nearest neighbors regression B Nguyen, C Morell, B De Baets Neurocomputing 214, 805-814, 2016 | 73 | 2016 |
| Effective active learning strategy for multi-label learning O Reyes, C Morell, S Ventura Neurocomputing 273, 494-508, 2018 | 71 | 2018 |
| QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations JR Valdés-Martiní, Y Marrero-Ponce, CR García-Jacas, ... Journal of cheminformatics 9, 1-26, 2017 | 62 | 2017 |
| Desirability-based methods of multiobjective optimization and ranking for global QSAR studies. Filtering safe and potent drug candidates from combinatorial libraries M Cruz-Monteagudo, F Borges, MNDS Cordeiro, JL Cagide Fajin, ... Journal of Combinatorial Chemistry 10 (6), 897-913, 2008 | 55 | 2008 |
| Distance metric learning for ordinal classification based on triplet constraints B Nguyen, C Morell, B De Baets Knowledge-Based Systems 142, 17-28, 2018 | 46 | 2018 |
| Towards better BBB passage prediction using an extensive and curated data set Y Brito‐Sánchez, Y Marrero‐Ponce, SJ Barigye, I Yaber‐Goenaga, ... Molecular informatics 34 (5), 308-330, 2015 | 44 | 2015 |
| Evolutionary feature weighting to improve the performance of multi-label lazy algorithms O Reyes, C Morell, S Ventura Integrated Computer-Aided Engineering 21 (4), 339-354, 2014 | 43 | 2014 |
| ReliefF-ML: an extension of ReliefF algorithm to multi-label learning OGR Pupo, C Morell, SV Soto Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2013 | 36 | 2013 |
| Effective lazy learning algorithm based on a data gravitation model for multi-label learning O Reyes, C Morell, S Ventura Information Sciences 340, 159-174, 2016 | 33 | 2016 |
| An efficient method for clustered multi-metric learning B Nguyen, FJ Ferri, C Morell, B De Baets Information Sciences 471, 149-163, 2019 | 30 | 2019 |
| Scalable large-margin distance metric learning using stochastic gradient descent B Nguyen, C Morell, B De Baets IEEE transactions on cybernetics 50 (3), 1072-1083, 2018 | 24 | 2018 |
| Aprendizaje supervisado de funciones de distancia: estado del arte B Nguyen Cong, JL Rivero Pérez, C Morell Revista Cubana de Ciencias Informáticas 9 (2), 14-28, 2015 | 20 | 2015 |
| Aplicación de sistemas neuroborrosos a problemas de resistencia antiviral del VIH IG García, GN Ruiz, AP Mariño, CM Pérez Revista Cubana de Ciencias Informáticas 6 (2), 1-11, 2012 | 19 | 2012 |
| A comparative study of nonlinear machine learning for the “in silico” depiction of tyrosinase inhibitory activity from molecular structure H Le‐Thi‐Thu, Y Marrero‐Ponce, GM Casañola‐Martin, GC Cardoso, ... Molecular informatics 30 (6‐7), 527-537, 2011 | 17 | 2011 |
| An algorithm evaluation for discovering classification rules with gene expression programming A Guerrero-Enamorado, C Morell, AY Noaman, S Ventura International Journal of Computational Intelligence Systems 9 (2), 263-280, 2016 | 14 | 2016 |
| QUBILs-MAS: free software for molecular descriptors calculator from quadratic, bilinear and linear maps based on graph-theoretic electronic-density matrices and atomic … JR Valdés-Martini, CR García-Jacas, Y Marrero-Ponce, ... Version 1, 2373-2012, 2012 | 14 | 2012 |
| Distance metric learning with the Universum B Nguyen, C Morell, B De Baets Pattern Recognition Letters 100, 37-43, 2017 | 13 | 2017 |
| A connectionist fuzzy case-based reasoning model Y Rodriguez, MM Garcia, B De Baets, C Morell, R Bello Mexican International Conference on Artificial Intelligence, 176-185, 2006 | 12 | 2006 |
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