Eva Gibaja
Eva Gibaja
University of Córdoba
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Cited by
A tutorial on multilabel learning
E Gibaja, S Ventura
ACM Computing Surveys (CSUR) 47 (3), 1-38, 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
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
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
LAIM discretization for multi-label data
A Cano, JM Luna, EL Gibaja, S Ventura
Information Sciences 330, 370-384, 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
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
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
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
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
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
MLDA: A tool for analyzing multi-label datasets
JM Moyano, EL Gibaja, S Ventura
Knowledge-Based Systems 121, 1-3, 2017
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
BioMen: an information system to herbarium
M Delgado, W Fajardo, E Gibaja, R Pérez-Pérez
Expert Systems with Applications 28 (3), 507-518, 2005
An evolutionary approach to build ensembles of multi-label classifiers
JM Moyano, EL Gibaja, KJ Cios, S Ventura
Information Fusion 50, 168-180, 2019
Multi-label classification with gene expression programming
JL Ávila, EL Gibaja, S Ventura
International Conference on Hybrid Artificial Intelligence Systems, 629-637, 2009
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
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
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
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
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