Jose M. Moyano

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Genetic Programming

Multilabel Classification

Evolutionary Algorithm

Top Venues

Knowl. Based Syst.

Publications

María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. IEEE CAA J. Autom. Sinica 11 (4) (2024)
Jose M. Moyano, Sebastián Ventura
Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers. Inf. Fusion 78 (2022)
Jose M. Moyano, José María Luna, Sebastián Ventura
Improving the Performance of Multi-Label Classifiers via Label Space Reduction. COINS (2022)
Jose M. Moyano, José María Luna, Sebastián Ventura
Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification. IEEE Access 10 (2022)
Jose M. Moyano, Oscar Gabriel Reyes Pupo, Habib M. Fardoun, Sebastián Ventura
Performing multi-target regression via gene expression programming-based ensemble models. Neurocomputing 432 (2021)
Jose M. Moyano, Eva Gibaja, Krzysztof J. Cios, Sebastián Ventura
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms. Knowl. Based Syst. 196 (2020)
Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura
Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming. CEC (2020)
Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, Sebastián Ventura
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. ECAI (2020)
Jose M. Moyano, Eva Gibaja, Sebastián Ventura, Alberto Cano
Speeding Up Classifier Chains in Multi-label Classification. IoTBDS (2019)
Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura
An evolutionary approach to build ensembles of multi-label classifiers. Inf. Fusion 50 (2019)
Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura
Review of ensembles of multi-label classifiers: Models, experimental study and prospects. Inf. Fusion 44 (2018)
Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains. CEC (2017)
Oliver Sanchez, Jose M. Moyano, Luciano Sánchez, Jesús Alcalá-Fdez
Mining association rules in R using the package RKEEL. FUZZ-IEEE (2017)
Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
MLDA: A tool for analyzing multi-label datasets. Knowl. Based Syst. 121 (2017)
Eva Gibaja, Jose M. Moyano, Sebastián Ventura
An ensemble-based approach for multi-view multi-label classification. Prog. Artif. Intell. 5 (4) (2016)
Jose M. Moyano, Luciano Sánchez
RKEEL: Using KEEL in R code. FUZZ-IEEE (2016)