Jose M. Moyano

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