Jose M. Moyano

Orcid: 0000-0001-5745-6269

Affiliations:
  • University of Cordoba, Spain


According to our database1, Jose M. Moyano authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends.
IEEE CAA J. Autom. Sinica, April, 2024

2022
Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers.
Inf. Fusion, 2022

Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification.
IEEE Access, 2022

Improving the Performance of Multi-Label Classifiers via Label Space Reduction.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021
Performing multi-target regression via gene expression programming-based ensemble models.
Neurocomputing, 2021

2020
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms.
Knowl. Based Syst., 2020

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
An evolutionary approach to build ensembles of multi-label classifiers.
Inf. Fusion, 2019

Speeding Up Classifier Chains in Multi-label Classification.
Proceedings of the 4th International Conference on Internet of Things, 2019

2018
Review of ensembles of multi-label classifiers: Models, experimental study and prospects.
Inf. Fusion, 2018

A gene expression programming method for multi-target regression.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

2017
MLDA: A tool for analyzing multi-label datasets.
Knowl. Based Syst., 2017

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.
Int. J. Comput. Intell. Syst., 2017

Mining association rules in R using the package RKEEL.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
An ensemble-based approach for multi-view multi-label classification.
Prog. Artif. Intell., 2016

RKEEL: Using KEEL in R code.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016


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