E. G. Galindo

发表

An intelligent tutoring system for education by web

W. Fajardo Contreras, E. Gibaja Galindo, E. Marín Caballero, 2007 .

A Connexionist Approach for Case Based Reasoning

Miguel Delgado, Eva Lucrecia Gibaja Galindo, Antonio B. Bailón, 2004, ICEIS.

XKey: A tool for the generation of identification keys

Miguel Delgado, Waldo Fajardo Contreras, Eva Lucrecia Gibaja Galindo, 2006, Expert Syst. Appl..

A Gene Expression Programming Algorithm for Multi-Label Classification

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, José Luis Ávila-Jiménez, 2011, J. Multiple Valued Log. Soft Comput..

An evolutionary approach to build ensembles of multi-label classifiers

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2019, Inf. Fusion.

Review of ensembles of multi-label classifiers: Models, experimental study and prospects

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2018, Inf. Fusion.

Multi‐label learning: a review of the state of the art and ongoing research

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, Sebastián Ventura, 2014, WIREs Data Mining Knowl. Discov..

BioMen: an information system to herbarium

Waldo Fajardo Contreras, Miguel Delgado, Eva Lucrecia Gibaja Galindo, 2005, Expert Syst. Appl..

An application of expert systems to botanical taxonomy

Waldo Fajardo Contreras, Eva Lucrecia Gibaja Galindo, Antonio Bautista Bailón Morillas, 2003, Expert Syst. Appl..

Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, Amelia Zafra, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

A Tutorial on Multilabel Learning

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, S. Ventura, 2015, ACM Comput. Surv..

Web-based adaptive training simulator system for cardiac life support

César Hervás-Martínez, Cristóbal Romero, Sebastián Ventura, 2006, Artif. Intell. Medicine.

Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2020, Knowl. Based Syst..

An ensemble-based approach for multi-view multi-label classification

Sebastián Ventura, Jose M. Moyano, Eva Lucrecia Gibaja Galindo, 2016, Progress in Artificial Intelligence.

LAIM discretization for multi-label data

Sebastián Ventura, Alberto Cano, Eva Lucrecia Gibaja Galindo, 2016, Inf. Sci..

Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, Cristóbal Romero, 2015, Int. J. Comput. Intell. Syst..

A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification

Sebastián Ventura, Alberto Cano, Eva Lucrecia Gibaja Galindo, 2013, EuroGP.

A TDIDT technique for multi-label classification

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, José Luis Ávila-Jiménez, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, José Luis Ávila-Jiménez, 2009, IDEAL.

Multi-label Classification with Gene Expression Programming

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, José Luis Ávila-Jiménez, 2009, HAIS.

An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains

Sebastián Ventura, Jose M. Moyano, Eva Lucrecia Gibaja Galindo, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

MLDA: A tool for analyzing multi-label datasets

Sebastián Ventura, Jose M. Moyano, Eva Lucrecia Gibaja Galindo, 2017, Knowl. Based Syst..

Speeding Up Classifier Chains in Multi-label Classification

Sebastián Ventura, Alberto Cano, Jose M. Moyano, 2019, IoTBDS.