RKEEL: Using KEEL in R code. - Jose M. Moyano; Luciano Sánchez (FUZZ-IEEE, 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)

Mining association rules in R using the package RKEEL. - Oliver Sanchez; Jose M. Moyano; Luciano Sánchez; Jesús Alcalá-Fdez (FUZZ-IEEE, 2017)

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. - Isaac Triguero; Sergio González; Jose M. Moyano; Salvador García 001; Jesús Alcalá-Fdez; Julián Luengo; Alberto Fernández 001; María José del Jesus; Luciano Sánchez; Francisco Herrera (Int. J. Comput. Intell. Syst., 2017)

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

A gene expression programming method for multi-target regression. - Oscar Gabriel Reyes Pupo; Jose María Moyano Murillo; José María Luna; Sebastián Ventura (LOPAL, 2018)

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)

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)

Performing multi-target regression via gene expression programming-based ensemble models. - Jose M. Moyano; Oscar Gabriel Reyes Pupo; Habib M. Fardoun; Sebastián Ventura (Neurocomputing, 2021)

Improving the Performance of Multi-Label Classifiers via Label Space Reduction. - Jose M. Moyano; José María Luna; Sebastián Ventura (COINS, 2022)

Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification. - Jose M. Moyano; José María Luna; Sebastián Ventura (IEEE Access, 2022)

Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers. - Jose M. Moyano; Sebastián Ventura (Inf. Fusion, 2022)

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. - María Victoria Luzón; Nuria Rodríguez Barroso; Alberto Argente-Garrido; Daniel Jiménez-López; Jose M. Moyano; Javier Del Ser; Weiping Ding 001; Francisco Herrera (IEEE CAA J. Autom. Sinica, 2024)