| A tutorial on multilabel learning E Gibaja, S Ventura ACM Computing Surveys (CSUR) 47 (3), 1-38, 2015 | 588 | 2015 |
| Multi‐label learning: a review of the state of the art and ongoing research E Gibaja, S Ventura Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (6 …, 2014 | 248 | 2014 |
| Review of ensembles of multi-label classifiers: Models, experimental study and prospects JM Moyano, EL Gibaja, KJ Cios, S Ventura Information Fusion 44, 33-45, 2018 | 152 | 2018 |
| Predicting students’ marks from Moodle logs using neural network models MD Calvo-Flores, EG Galindo, MCP Jiménez, OP Pineiro 4th International Conference on Multimedia and Information and Communication …, 2006 | 136 | 2006 |
| LAIM discretization for multi-label data A Cano, JM Luna, EL Gibaja, S Ventura Information Sciences 330, 370-384, 2016 | 61 | 2016 |
| Web-based adaptive training simulator system for cardiac life support C Romero, S Ventura, EL Gibaja, C Hervás, F Romero Artificial Intelligence in Medicine 38 (1), 67-78, 2006 | 57 | 2006 |
| Multiple instance learning with multiple objective genetic programming for web mining A Zafra, EL Gibaja, S Ventura Applied Soft Computing 11 (1), 93-102, 2011 | 38 | 2011 |
| An evolutionary approach to build ensembles of multi-label classifiers JM Moyano, EL Gibaja, KJ Cios, S Ventura Information Fusion 50, 168-180, 2019 | 34 | 2019 |
| MLDA: A tool for analyzing multi-label datasets JM Moyano, EL Gibaja, S Ventura Knowledge-Based Systems 121, 1-3, 2017 | 32 | 2017 |
| An evolutionary algorithm for optimizing the target ordering in ensemble of regressor chains JM Moyano, EL Gibaja, S Ventura 2017 IEEE congress on evolutionary computation (CEC), 2015-2021, 2017 | 24 | 2017 |
| An Evaluation of the Effectiveness of e-learning system as Support for Traditional Classes A Zafra, E Gibaja, M Luque, S Ventura 2011 7th International Conference on Next Generation Web Services Practices …, 2011 | 24 | 2011 |
| A gene expression programming algorithm for multi-label classification JL Ávila, EL Gibaja, A Zafra, S Ventura Journal of Multiple-Valued Logic and Soft Computing 17 (2-3), 183-206, 2011 | 18 | 2011 |
| Combining multi-label classifiers based on projections of the output space using evolutionary algorithms JM Moyano, EL Gibaja, KJ Cios, S Ventura Knowledge-Based Systems 196, 105770, 2020 | 17 | 2020 |
| XKey: A tool for the generation of identification keys MD Calvo-Flores, WF Contreras, ELG Galindo, R Pérez-Pérez Expert Systems with Applications 30 (2), 337-351, 2006 | 17 | 2006 |
| Evolving multi-label classification rules with gene expression programming: a preliminary study JL Ávila-Jiménez, E Gibaja, S Ventura International Conference on Hybrid Artificial Intelligence Systems, 9-16, 2010 | 13 | 2010 |
| BioMen: an information system to herbarium M Delgado, W Fajardo, E Gibaja, R Pérez-Pérez Expert Systems with Applications 28 (3), 507-518, 2005 | 12 | 2005 |
| An ensemble-based approach for multi-view multi-label classification EL Gibaja, JM Moyano, S Ventura Progress in Artificial Intelligence 5 (4), 251-259, 2016 | 11 | 2016 |
| Multi-label classification with gene expression programming JL Ávila, EL Gibaja, S Ventura Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009 | 11 | 2009 |
| Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets JL Olmo, C Romero, E Gibaja, S Ventura International Journal of Computational Intelligence Systems 8 (6), 1144-1164, 2015 | 10 | 2015 |
| A grammar-guided genetic programming algorithm for multi-label classification A Cano, A Zafra, EL Gibaja, S Ventura Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria …, 2013 | 10 | 2013 |
