A Multi-Agent System with a Cooperative Strategy to Study Biodiversity and Orientation in Re-Collect Countryside. - Miguel Delgado 001; Waldo Fajardo; Eva Lucrecia Gibaja Galindo; Ramón Pérez-Pérez (ICWI, 2003)

An application of expert systems to botanical taxonomy. - Waldo Fajardo Contreras; Eva Lucrecia Gibaja Galindo; Antonio Bautista Bailón Morillas; Pedro Moral Lorenzo (Expert Syst. Appl., 2003)

A Connexionist Approach for Case Based Reasoning. - Antonio B. Bailón; Miguel Delgado 001; Eva Lucrecia Gibaja Galindo; José María de la Torre (ICEIS (2), 2004)

G.R.E.E.N. - An Expert System to Identify Gymnosperms. - Antonio B. Bailón; Eva Lucrecia Gibaja Galindo; Ramón Pérez-Pérez; Carmen Quesada (ICEIS (2), 2004)

BioMen: an information system to herbarium. - Miguel Delgado 001; Waldo Fajardo; Eva Lucrecia Gibaja Galindo; Ramón Pérez-Pérez (Expert Syst. Appl., 2005)

Web-based adaptive training simulator system for cardiac life support. - Cristóbal Romero 001; Sebastián Ventura; Eva Lucrecia Gibaja Galindo; César Hervás-Martínez; Francisco Romero Morales (Artif. Intell. Medicine, 2006)

XKey: A tool for the generation of identification keys. - Miguel Delgado Calvo-Flores; Waldo Fajardo Contreras; Eva Lucrecia Gibaja Galindo; Ramón Pérez-Pérez (Expert Syst. Appl., 2006)

Using fuzzy datacubes in the study of trading strategies. - Miguel Delgado Calvo-Flores; J. F. Núñez Negrillo; Eva Lucrecia Gibaja Galindo; J. Carlos Fernández-Molina (ICEIS (1), 2007)

An Empirical Study of Significant Variables for Trading Strategies. - Miguel Delgado Calvo-Flores; J. F. Núñez Negrillo; Eva Lucrecia Gibaja Galindo; C. Molina Férnandez (ICEIS (2), 2007)

Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. - Amelia Zafra; Eva Lucrecia Gibaja Galindo; Sebastián Ventura (HIS, 2008)

Multi-label Classification with Gene Expression Programming. - José Luis Ávila-Jiménez; Eva Lucrecia Gibaja Galindo; Sebastián Ventura (HAIS, 2009)

A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns. - José Luis Ávila-Jiménez; Eva Lucrecia Gibaja Galindo; Amelia Zafra; Sebastián Ventura (IDEAL, 2009)

Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study. - José Luis Ávila-Jiménez; Eva Lucrecia Gibaja Galindo; Sebastián Ventura (HAIS (2), 2010)

A TDIDT technique for multi-label classification. - Eva Lucrecia Gibaja Galindo; Manuel Victoriano; José Luis Ávila-Jiménez; Sebastián Ventura (ISDA, 2010)

Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining. - Amelia Zafra; Eva Lucrecia Gibaja Galindo; Sebastián Ventura (Appl. Soft Comput., 2011)

A Gene Expression Programming Algorithm for Multi-Label Classification. - José Luis Ávila-Jiménez; Eva Lucrecia Gibaja Galindo; Amelia Zafra; Sebastián Ventura (J. Multiple Valued Log. Soft Comput., 2011)

A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. - Alberto Cano 001; Amelia Zafra; Eva Lucrecia Gibaja Galindo; Sebastián Ventura (EuroGP, 2013)

Multi-label learning: a review of the state of the art and ongoing research. - Eva Lucrecia Gibaja Galindo; Sebastián Ventura (WIREs Data Mining Knowl. Discov., 2014)

A Tutorial on Multilabel Learning. - Eva Gibaja; Sebastián Ventura (ACM Comput. Surv., 2015)

Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. - Juan Luis Olmo; Cristóbal Romero 001; Eva Gibaja; Sebastián Ventura (Int. J. Comput. Intell. Syst., 2015)

LAIM discretization for multi-label data. - Alberto Cano 001; José María Luna; Eva Lucrecia Gibaja Galindo; Sebastián Ventura (Inf. Sci., 2016)

An ensemble-based approach for multi-view multi-label classification. - Eva Gibaja; Jose M. Moyano; Sebastián Ventura (Prog. Artif. Intell., 2016)

An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains. - Jose M. Moyano; Eva Lucrecia Gibaja Galindo; Sebastián Ventura (CEC, 2017)

Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features. - Cristóbal Romero 001; Pedro G. Espejo; Eva Gibaja; Alfredo Zapata Gonzalez; Víctor H. Menéndez (EDM, 2017)

MLDA: A tool for analyzing multi-label datasets. - Jose M. Moyano; Eva Lucrecia Gibaja Galindo; Sebastián Ventura (Knowl. Based Syst., 2017)

Review of ensembles of multi-label classifiers: Models, experimental study and prospects. - Jose M. Moyano; Eva Lucrecia Gibaja Galindo; Krzysztof J. Cios; Sebastián Ventura (Inf. Fusion, 2018)

Speeding Up Classifier Chains in Multi-label Classification. - Jose M. Moyano; Eva Gibaja; Sebastián Ventura; Alberto Cano 001 (IoTBDS, 2019)

An evolutionary approach to build ensembles of multi-label classifiers. - Jose M. Moyano; Eva Lucrecia Gibaja Galindo; Krzysztof J. Cios; Sebastián Ventura (Inf. Fusion, 2019)

Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information. - Pedro G. Espejo; Eva Gibaja; Víctor H. Menéndez; Alfredo Zapata; Cristóbal Romero 001 (J. Univers. Comput. Sci., 2019)

Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming. - Jose M. Moyano; Eva Lucrecia Gibaja Galindo; Krzysztof J. Cios; Sebastián Ventura (CEC, 2020)

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. - Jose M. Moyano; Eva L. Gibaja; Krzysztof J. Cios; Sebastián Ventura (ECAI, 2020)

Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms. - Jose M. Moyano; Eva Gibaja; Krzysztof J. Cios; Sebastián Ventura (Knowl. Based Syst., 2020)

MIML library: A modular and flexible library for multi-instance multi-label learning. - Álvaro Belmonte; Amelia Zafra; Eva Gibaja (Neurocomputing, 2022)

Nearest neighbor-based approaches for multi-instance multi-label classification. - Amelia Zafra; Eva Gibaja (Expert Syst. Appl., 2023)