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ORCIDJose M. Moyano
Person information
- affiliation: University of Cordoba, Spain
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2020 – today
- 2024
[j10]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): 824-850 (2024)- 2022
- [j9]Jose M. Moyano, José María Luna, Sebastián Ventura:
Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification. IEEE Access 10: 76480-76492 (2022) - [j8]Jose M. Moyano, Sebastián Ventura:
Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers. Inf. Fusion 78: 1-19 (2022) - [c8]Jose M. Moyano, José María Luna, Sebastián Ventura:
Improving the Performance of Multi-Label Classifiers via Label Space Reduction. COINS 2022: 1-6 - 2021
- [j7]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: 275-287 (2021) - 2020
- [j6]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: 105770 (2020) - [c7]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: 1-8 - [c6]Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, Sebastián Ventura:
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. ECAI 2020: 1379-1386
2010 – 2019
- 2019
- [j5]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: 168-180 (2019) - [c5]Jose M. Moyano, Eva Gibaja, Sebastián Ventura, Alberto Cano:
Speeding Up Classifier Chains in Multi-label Classification. IoTBDS 2019: 29-37 - 2018
- [j4]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: 33-45 (2018) - [c4]Oscar Gabriel Reyes Pupo, Jose María Moyano Murillo, José María Luna, Sebastián Ventura:
A gene expression programming method for multi-target regression. LOPAL 2018: 2:1-2:6 - 2017
- [j3]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): 1238-1249 (2017) - [j2]Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
MLDA: A tool for analyzing multi-label datasets. Knowl. Based Syst. 121: 1-3 (2017) - [c3]Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains. CEC 2017: 2015-2021 - [c2]Oliver Sanchez, Jose M. Moyano, Luciano Sánchez, Jesús Alcalá-Fdez:
Mining association rules in R using the package RKEEL. FUZZ-IEEE 2017: 1-6 - 2016
- [j1]Eva Gibaja, Jose M. Moyano, Sebastián Ventura:
An ensemble-based approach for multi-view multi-label classification. Prog. Artif. Intell. 5(4): 251-259 (2016) - [c1]Jose M. Moyano, Luciano Sánchez:
RKEEL: Using KEEL in R code. FUZZ-IEEE 2016: 257-264
Coauthor Index
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