Eva Gibaja
Eva Gibaja
University of Córdoba
No verified email
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Cited by
Cited by
Year
A tutorial on multilabel learning
E Gibaja, S Ventura
ACM Computing Surveys (CSUR) 47 (3), 1-38, 2015
3632015
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
1662014
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
1052006
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
622018
LAIM discretization for multi-label data
A Cano, JM Luna, EL Gibaja, S Ventura
Information Sciences 330, 370-384, 2016
442016
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
442006
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
382011
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
182011
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
152017
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
142011
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
142006
MLDA: A tool for analyzing multi-label datasets
JM Moyano, EL Gibaja, S Ventura
Knowledge-Based Systems 121, 1-3, 2017
122017
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
122010
BioMen: an information system to herbarium
M Delgado, W Fajardo, E Gibaja, R Pérez-Pérez
Expert Systems with Applications 28 (3), 507-518, 2005
122005
An evolutionary approach to build ensembles of multi-label classifiers
JM Moyano, EL Gibaja, KJ Cios, S Ventura
Information Fusion 50, 168-180, 2019
112019
Multi-label classification with gene expression programming
JL Ávila, EL Gibaja, S Ventura
International Conference on Hybrid Artificial Intelligence Systems, 629-637, 2009
102009
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
92016
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
92015
An application of expert systems to botanical taxonomy
WF Contreras, EG Galindo, AB Morillas, PM Lorenzo
Expert Systems with Applications 25 (3), 425-430, 2003
82003
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
62020
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